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HSIR Publications

This is the scientific output of HSIR team members since the inception of the team in 2014.
2026
  1. Albright, D., Kichler, J. C., Voelker, K., Tannous, A., & Pater, J. (2026). Unveiling the #T1D community: Content analysis across social media platforms. Diabetes, Obesity, and Cardiometabolic Care, 1(1), 62–70. [link]
  2. Centola, H., Plegue, M., Albright, D., Mizokami–Stout, K., Ang, L., Iyengar, J., et al. (2026). Psychometric properties of ecological momentary assessment of psychosocial functioning in adults with complications related to type 1 diabetes. Canadian Journal of Diabetes. [link]
  3. Chakabva, M. S., Flanagan, M., Drouin, M., Dodds, D., Gao, Y., Gordon, B., et al. (2026). Effect of timing of morning blood draws on sleep quantity and quality in hospitalized patients. Journal of Hospital Medicine, 1-8. [link]
  4. Chui, V., McConvey, K., Chui, D., Bernstein, M., & Guha, S. (2026). Integrating human–centered data science into computing education: Insights from semi–structured interviews. Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 1271–1272. [link]
  5. Crane, A., Voelker, K., Flanagan, M., Drouin, M., & Albright, D. (2026). Examining the home food environment of children: Implications for school–based nutrition initiatives. Annals of Behavioral Medicine, 60, S149–S149. [link]
  6. Daley, C., Shirazi, J., Allmandinger, T., Flanagan, M., Pruitt, S., Lin, HY., Cornet, V.P., Carroll, J., Tan, YR., Toscos, T., Mirro, M. (2026). Recommendations for sharing cardiovascular implantable electronic device data with patients based on clinician interviews. Heart Rhythm O2. 7(5), 900–911. [link]
  7. Das, D., Sultana, A., Chauhan, A. S., Alam, S. B., Shidujaman, M., Guha, S., Chakraborty, S., & Ahmed, S. I. (2026). Mod–guide: An LLM–based content moderation feedback system to address insensitive speech toward indigenous ethnic and religious minority communities. ArXiv.org. [link]
  8. Das, D., Prio, A., Saha, P., Guha, S., & Ahmed, S. I. (2026). How do the global south diasporas mobilize for transnational political change? ArXiv.org. Article 1126, 1–19. [link]
  9. Das, D., Tamura, M., Ahmed, S. I., & Guha, S. (2026). “Is this not enough?”: Asymmetries in institutional accountability and collective sensemaking in the case of Canada’s algorithmic visa triage system. ArXiv.org. [link]
  10. Das, D., Tessono, C., Ahmed, S. I., & Guha, S. (2026). Bureaucratic silences: What the canadian AI register reveals, omits, and mbscures. ArXiv.org. [link]
  11. Drouin, M., & Cornelius, T. (2026). Sexual touching while sleeping: Occurrence, context, responses, and perceptions of sexual assault among undergraduates. Sexes, 7(2), 26. [link]
  12. Frediani, J., Rupp, K., Hughes, C., Vela, A., Albright, D., & Fowler, L. (2026). Beyond the scale: The value of integrating weight–inclusive perspectives to advance behavioral medicine. Annals of Behavioral Medicine, 60, S217–S217. [link]
  13. Kollig F, Voelker K, Ryan E, Pfafman R, Nova F.F. (2026) Current landscape of mental health conversational agents from a trauma–informed care lens: Scoping review JMIR Mental Health. [link]
  14. Lu, X., Guha, S., Pfafman, R., Pater, J. A., Washington, C. L., & Nova, F. F. (2026). Trauma–informed conversational agents for mental health: understanding user perspectives and experiences. Frontiers in Digital Health, 8. [link]
  15. McConvey, K., Das, D., Ghai, M., Zhai, A., Lee, R., & Guha, S. (2026). Fairness audits of institutional risk models in deployed ML pipelines. ArXiv.org. [link]
  16. McConvey, K., Ghai, M., Lee, R., & Guha, S. (2026). Risk, retention, and the algorithmic institution: Artificial intelligence as a policy response to higher education in crisis. Canadian Public Policy, 52(S1), 155–169. [link]
  17. McDaniel, B. T., Ventura, A. K., Coyne, S. M., Wolfers, L., Pfafman, R., Shinde, A. S., Uva, S., Coleman, B., Ceja Almontes, K. I., & Galovan, A. M. (2026). Crying, cradles, and cellphones: A longitudinal examination of infant media emotion regulation and socio–emotional development in early infancy. Infancy, 31(1), e70069. [link]
  18. McDaniel, B. T., Uva, S., & Galovan, A. M. (2026). The parent phone use regulation efficacy scale (P–PURE): Initial validation and associations with problematic smartphone use, self–regulation, impulsivity, mindfulness, and self–efficacy. Human Behavior and Emerging Technologies, 2198389, 1-19. [link]
  19. Momtaz Esfahani, S. M. P., Seeman, D., Dharma, C., Noaeen, M., Guha, S., & Shakeri, Z. (2026). FairCareNLP: An AI–driven patient review analyzer for healthcare. PLOS One, 21(5), 0337676. [link]
  20. Mone, V., Estabrooks, P., Potter, J., Wang, H., & Kim, J. (2026). Primary Care Providers' Perspectives on Telehealth Medicare Annual Wellness Visits for Older Adults in a Midwestern Health System. Journal of the American Geriatrics Society. [link]
  21. Mone, V. (2024). Telehealth for healthy aging: A multi–level, multi–methods approach. DigitalCommons@UNMC. [link]
  22. Moon, E. S.–Y., & Guha, S. (2026). The paradox of prioritization in public sector algorithms. ArXiv.org. [link]
  23. Moon, E. S.–Y., Tamura, M., Zhai, A., Habib, N., Shirazi, B., Kassam, A., Saxena, D., & Guha, S. (2026). The promises and perils of using LLMs for effective public services. ArXiv.org, 1–21. [link]
  24. Mothilal, R. K., Roy, J., Ahmed, S. I., & Guha, S. (2026). Argument–nased consistency in toxicity explanations of LLMs. Findings of the Association for Computational Linguistics: EACL 2026, 5913–5941. [link]
  25. ‌Mothilal, Ramaravind Kommiya, Zhang, T. J., Ahmed, R., Jin, Z., Guha, S., & Ahmed, S. I. (2026). Evaluating second–order bias of LLMs through epistemic entitlement. ArXiv.org. [link]
  26. Naavaal, S., & Mone, V. (2025). Dental care utilization and expenditures among individuals with asthma. Journal of Public Health Dentistry. [link]
  27. ‌Naavaal, S., Mone, V., & Scherrer, C. (2025). Prevalence of fluoride treatments among US children, associated factors, and state‐level variation. Journal of Public Health Dentistry, 85(4), 399–409. [link]
  28. Nova F, Pruitt S, Lin HY, Shinde A, Balsani A, Becker C, Parise B, Rogers M, Toscos T, Guha S. (2026). Bridging algorithms and appointments: A human–centered data science early report on orthopedic surgical scheduling. JMIR Preprints. [link]
  29. Powers, J., Bourgault, A. M., Richardson, J., McDaniel, B. T., & Stelnicki, M. (2026). Evaluation of feeding tube migration in critical care patients. American Journal of Critical Care, 35(3), 225–232. [link]
  30. Rattray, N. A., Flanagan, M., Frankel, R. M., & Kukla, M. (2026). Flourishing, social participation and reintegration difficulties: a 2–year cohort study of US military veterans with invisible injuries. Frontiers in Rehabilitation Sciences, 7. [link]
  31. Roebuck, A., Delaney, C., Launer, K., Berndt, J., & Albright, D. (2026). Lifestyle behavior screener: Development and piloting clinical implementation. Diabetes, 75(Supplement 1), 2810–LB. [link]
  32. Saxena, D., Moon, E. S.–Y., Kawakami, A., Jackson, C., Lee, M. K., Fox, S. E., Guha, S., Erete, S., & Hardy, J. (2026). Participation, procurement & proof of impact in public sector AI innovation. Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems, 1–6. [link]
  33. Shanks, C. B., Mitchell, E., Marriott, J., Albright, D., Thielen, C., et al. (2026). Produce prescriptions as food is medicine for type 2 diabetes: Multisite quasi–experimental implementation and baseline findings. Diabetes, 75(Supplement 1), 1611–P. [link]
  34. Subramanian, R., Joshi, H., & Drouin, M. (2026). Response to “Veno–arterial extracorporeal membrane oxygenation (VA–ECMO) for calcium channel blocker toxicity: Does the left ventricle matter?” ASAIO Journal. [link]
  35. Sun, X., Wang, Y., & McDaniel, B. T. (2026). AI companions and adolescent social relationships: Considerations of benefits, risks, and bidirectional influences. Child Development Perspectives, 20(2), 91-98. [link]
  36. Voelker, K., Crane, A., Flanagan, M., Pfafman, R., Drouin, M., & Albright, D. (2026). Fill bellies not bins: Improving vegetable liking in a school setting. Annals of Behavioral Medicine, 60, S132–S132. [link]
  37. Voleti, P., Plegue, M., Hall, D., DeJonckheere, M., Ang, L., et al. (2026). Picture this: Navigating type 1 diabetes in adolescence and young adulthood. Diabetes, 75(Supplement 1), 1579–P. [link]
  38. Voss, R. P., Harrison, A., Sczerbowicz, D., & Drouin, M. (2026). Intimacy needs across different relationship types: The role of gender and attachment style. Sexuality & Culture, 1–20. [link]
2025
  1. Abejirinde, I. O. O., Itanyi, I. U., Kornas, K., Zaim, R., Guha, S., Chui, V., Lipscombe, L., et al. (2025). Principles and practices of community engagement in AI for population health: Formative qualitative study of the AI for diabetes prediction and prevention project. Journal of Participatory Medicine, 17, 69497. [link]
  2. Albright, D., Pater, J., Tan, Y. R., Flanagan, M., Pfafman, R., Balasani, A., Becker, C., Carroll, J., & Toscos, T. (2025). Integration of peer recovery coach checklist into a digital clinical tool to promote standardized data on clinical activities in real time [Conference presentation abstract]. 2025 Annual Research Meeting, Minneapolis, MN, United States. [link]
  3. Antonio, M.G., Swallow, J., Richesson, R., Carethers, C., Coe, A.B., Jahagirdar, D., Huang, Y.Y., Toscos, T., Flanagan, M. and Veinot, T.C. (2025). The administrative burden of medication affordability resources: an environmental scan with implications for health informatics to advance health equity. Journal of the American Medical Informatics Association, 32(7), 1206–1218. [link]
  4. Bailey, I., Keen, M., Flanagan, M., Bergsma, N., Yen, J., Dippold, J., & colleagues. (2025). 2025 student research fellowship program: SERF abstract booklet. Parkview Health Research Center. [link]
  5. Brand, K., Flores–Thorpe, S., Zhang, Y., Roebuck, A., Menendez, T., Linton, R., Bishop Scott, T., Crowley, M., van den Berg, A. E., & Hoelscher, D. M. (2025). Evaluation of researchers’ policy–related knowledge, needs and self–efficacy before and after the 2021 Texas Legislative Session. Evidence & Policy, 1–16. [link]
  6. Bravata, D. M., Schubert, C. C., Kilbourne, A. M., Hartronft, S. R., Schwartzkopf, A. L., Myers, J. L., Flanagan, M. E., Donnelly, C. E., Taylor, S. E., Reeves, M. J., Perkins, A. J., Myers, L. E., Roy, I., Burke, R. E., Beard, R. A., Montagnini, M., Jindal, S. K., Arling, G., Madrigal, C., & Rattray, N. A. (2025). Leading learning health systems: strategies used to establish and conduct a learning health system. Journal of General Internal Medicine. [link]
  7. Butler, K., Consolvo, S., Siek, K., Toscos, T., Wisniewski, P., Griffin, H., Andalibi, N., Arriaga, R. I., Chaudhry, B. M., de Choudhury, M., Epstein, J., Haimson, O., Heung, S., Ibrahim, Z., Kelley, P. G., Khovanskaya, V., Martin–Hammond, A., McClearn, J., Motti, V. G., & Okolo, C. T. (2025). Supporting at–risk users through responsible computing CCC visioning workshop report. SSRN Electronic Journal. [link]
  8. Choe, A., Fredericks, E. M., Albright, D., Lee, J. M., Sturza, J. M., Riley, H. O., Kaciroti, N., Bauer, K. W., & Miller, A. L. (2025). Executive functioning, diabetes distress, and diabetes management among adolescents with type 1 diabetes: Youth and parent perspectives. Pediatric Diabetes, 7036544, 1-12. [link] 
  9. Chui, V., McConvey, K., Moon, E. S.–Y., Ghai, M., & Guha, S. (2025). Towards sustainable community–designed AI systems in the public sector. Proceedings of the ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 837–840. [link]
  10. Damush, T. M., Calcatera, S. M., Datre, O., Hayley, L., Austin, C., Schlitz, E. L., Eubanks, C. L., Harrison, L., Yuan, D., Taylor, S., Flanagan, M., Ney, J., Seng, E. K., Sico, J. J., & Grinberg, A. S. (2025). Telemedicine–based cognitive behavioral therapy (TENACITY) for Veterans with chronic migraine: A pilot randomized controlled trial protocol. Cephalalgia Reports, 8. [link]
  11. Das, D., Ahmed, S. I., & Guha, S. (2025). Auditing political bias in text generation by GPT–4 using sociocultural and demographic personas: Case of Bengali ethnolinguistic communities. Proceedings of the 1st Workshop on Benchmarks, Harmonization, Annotation, and Standardization for Human–Centric AI in Indian Languages (BHASHA 2025), 23–36. [link]
  12. ‌Das, D., Ahmed, S. I., & Guha, S. (2025). BTPD: A multilingual hand–curated dataset of Bengali transnational political discourse across online communities. Companion Publication of the 2025 Conference on Computer–Supported Cooperative Work and Social Computing, 188–193. [link]
  13. Das, D., Guha, S., & Semaan, B. (2025). How do datasets, developers, and models affect biases in a low–resourced language?: The case of the Bengali language. ArXiv.org. [link]
  14. Donnelly, C. E., Rattray, N. A., Flanagan, M. E., Myers, J. L., Schwartzkopf, A. L., Madrigal, C. B., Schubert, C. C., Shaughnessy, M., Driver, J. A., Jindal, S. K., & Bravata, D. M. (2025). Perspectives of nurses in the VA coordinated transitional care (CTraC) program: A qualitative study. Journal of the American Geriatrics Society, 12, 3860–3869. [link]
  15. Drouin, M., Abbasi, I., Dibble, J. L., & McDaniel, B. T. (2025). Examining the roles of marital status and sex on communication with backburners on social media. The Social Science Journal, 62(3), 535–543. [link]
  16. ‌Guha, S., Chui, V., Silver, M., & Irfan, M. (2025). HCDS pedagogy toolkit. Zenodo. [link]
  17. Khan, A, Gopakumar, H, Marrero Torres, RJ, Abulawi, A, Malik, T, Singh Dahiya, D, Rojas DeLeon, M, Roebuck, A, Sharma, NR. (2025). Efficacy and safety of a novel technique utilizing endoscopic ultrasound guided fine needle injection of botulinum toxin and balloon dilatation in Achalasia. IGIE. [link]
  18. Kinger, K., DeJonckheere, M., Huang, Y., Ang, L., Martin, C., Albright, D., Reynolds, E. L., Callaghan, B. C., Hirschfeld, E., Iyengar, J. J., Centola, H., Lee, J. M., Pop–Busui, R., & Mizokami–Stout, K. R. (2025). 458–P: Exploring the momentary lived experience of painful diabetic neuropathy in type 1 diabetes–A mixed–methods study. Diabetes, 74, 458. [link] 
  19. Kollig, F., Pater, J., Nova, F. F., & Fiesler, C. (2025). Fictional failures and real–world lessons: Ethical speculation through design fiction on emotional support conversational. AI Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 204, 1–15. [link]
  20. Liu, L. T., Raji, I. D., Zhou, A., Guerdan, L., Hullman, J., Malinsky, D., Wilder, B., Zhang, S., Adam, H., Coston, A., Laufer, B., Nwankwo, E., Zanger–Tishler, M., Ben–Michael, E., Barocas, S., Feller, A., Gerchick, M., Gillis, T., Guha, S., & Ho, D. (2025). Bridging prediction and intervention problems in social systems (v3). ArXiv.org. [link]
  21. Marcantonio, T. L., Jozkowski, K., Drouin, M., & Willis, M. (accepted). How do intoxicated young people feel about a BrAC limit for consenting to sex after consuming alcohol? Sexuality Research and Social Policy. 22, 2245–2252. [link]
  22. McDaniel, B. T., Albright, D., Lilly, R., Furman, M., & Yew, K. S. (2025). A report on the mental and behavioral health needs of patients, clinical screening, and referral for services within Family Medicine and Pediatric clinics. Parkview Mirro Center for Research and Innovation.
  23. McDaniel, B. T., Coupe, A., Weston, A., & Pater, J. (2025). Emerging ideas: A brief commentary on human–AI attachment and possible impacts on family dynamics. Family Relations. 74(3), 1072–1079. [link]
  24. ‌McDaniel, B. T., Coupe, A., Weston, A., & Pater, J. (2025). Parent and child attachment–like behaviors with conversational AI agents and perceptions of impact on family dynamics. Parkview Health Research Repository. [link]
  25. McDaniel, B. T., Linder, L., Vanden Abeele, M. M., Ventura, A. K., Coyne, S. M., & Barr, R. (2024). Technoference in parenting and impacts on parent–child relationships and child development. In Handbook of children and screens: Digital media, development, and well–being from birth through adolescence. Springer, 411–417. [link]
  26. McDaniel, B. T., Nova, F. F., & Pater, J. A. (2025). Artificial intelligence in everyday family life: Issues, applications, and implications. Family Relations. 74(3), 1049–1055. [link]
  27. ]McDaniel, B. T., & Summerhays Walker, J. (2025). Coparenting of child media use and associations with child media limits and frequency of media use in the United States. Journal of Children and Media. [link]
  28. McDaniel, B. T., Uva, S., Cornet, V., & Drouin, M. (2025). Objective phone use during time with one's partner: Associations with relationship and individual well–being. Human Behavior and Emerging Technologies, 2025, 3547526, 1-11. [link]
  29. McGuire, A., Flanagan, M., Stout, M. E., Coffing, J., Kukla, M., Traylor, M., Myers, L., Henry, N., Carter, J., & Matthias, M. (2025). Use of cognitive‐behavioral therapy in a nation‐wide veterans health administration sample: The role of clinic, therapist, and patient factors. Health Services Research, 14604. [link]
  30. Menendez, T., Roebuck, A., Flores–Thorpe, S., Zhang, Y., Manuel, K., Jovanovic, C., ... & Hoelscher, D. M. (2025). Preparing public health researchers to interact with state–level legislators: evaluation of the Texas Research–to–Policy Collaboration project training. Journal of Public Health Policy, 46(2), 375. [link]
  31. Mizokami–Stout, K. R., Plegue, M., Hirschfeld, E., Ang, L., Iyengar, J. J., Centola, H., Albright, D., Reynolds, E. L., Callaghan, B. C., Pop–Busui, R., & Lee, J. M. (2025). 465–P: The sweet sting–Momentary neuropathic pain and glucose elevations. Diabetes, 74. 465. [link] 
  32. Moon, E. S.–Y., Saxena, D., Das, D., & Guha, S. (2025). The datafication of care in public homelessness services. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–16. [link]
  33. Morelli, M., Rosati, F., Cattelino, E., Urbini, F., Baiocco, R., Bianchi, D., Laghi, F., Gasseau, M., Sorokowski, P., Misiak, M., Dziekan, M., Hudson, H., Marshall, A., Nguyen, T. T., Mark, L., Kopecky, K., Szotkowski, R., Demirtaş, E. T., Ouytsel, J. V., & Ponnet, K. (2025). Emotionally tough, sexting rough: Relationship between callous unemotional traits and aggravated sexting in 11 Countries. Psicothema, 37(3), 33–44. [link]
  34. ‌Mothilal, R. K., Ahmed, S. I., & Guha, S. (2025). Evaluating toxicity understanding of LLM agents. 2025 IEEE International Conference on Collaborative Advances in Software and Computing (CASCON), 661–666. [link]
  35. Mothilal, Ramaravind Kommiya, Zhang, S., Ahmed, S. I., & Guha, S. (2025). Reasoning about reasoning: Towards informed and reflective use of LLM reasoning in HCI. ArXiv.org. [link]
  36. Muthukumar, L., Reynolds, E. L., Callaghan, B. C., Albright, D., Lee, J. M., Ang, L., Feldman, E. L., Mizokami–Stout, K. R., & Pop–Busui, R. (2025). 1051–P: Comparing health care utilization among persons with diabetes between Medicaid and private insurance. Diabetes, 74, 1051. [link] 
  37. Nazanin Andalibi (University of Michigan), David Danks (University of California, San Diego), Haley Griffin (Computing Research Association), Mary Lou Maher (Computing Research Association), Jessica McClearn (Google), Chinasa T. Okolo (The Brookings Institution), Manish Parashar (University of Utah), Jessica Pater (Parkview Health), Katie Siek (Indiana University), Tammy Toscos (Parkview Health), Helen V. Wright (Computing Research Association), and Pamela Wisniewski (Vanderbilt University). [link]
  38. Nova, F. F., Shinde, A. S., Pfafman, R., Harrison, A., Logan Delaney, C., & Pater, J. (2025). Sentiment analysis of # Meanspo tweets: Humans vs. automatic classifications. Proceedings of the ACM on Human–Computer Interaction, 9(1), 1–26. [link]
  39. Pater, J. A., Andrews, E., Drouin, M., Flanagan, M., Albright, D., Pfafman, R., Carroll, J., Hess, E., & Toscos, T. R. (2025). Shedding light on the invisible work of peer recovery support specialists through the design of a point‑of‑care technology. Proceedings of the AMIA Annual Symposium, 2024, 995–1002. [link] 
  40. Pater, J., McDaniel, B. T., Nova, F., Drouin, M., O'Connor, K., Zytko, D. (2025). A commentary on sexting and sextortion in the age of generative AI: Risks, deception, and digital vulnerability. Family Relations. 74(3), 1109–1120. [link] 
  41. Pater, J., Pfafman, R., Tan, Y. R., Balasani, A., Becker, C., Carroll, J., Flanagan, M., Albright, D., & Toscos, T. (2025). Initial findings from the testing of a digital platform to support peer recovery coaches [Conference presentation abstract]. 2025 Annual Research Meeting, Minneapolis, MN, United States. [link] 
  42. Ramaravind Kommiya Mothilal, Lalani, F. M., Ahmed, S. I., Guha, S., & Sultana, S. (2025). Talking about the assumption in the room. ArXiv (Cornell University), 1–16. [link]
  43. ‌Ratto, M., Kuzminykh, A., Guha, S., Law, E., & Vines, J. (2025). Social agentics. Companion Publication of the 2025 Conference on Computer–Supported Cooperative Work and Social Computing, 66–69. [link] 
  44. Ratto, M., Kuzminykh, A., Guha, S., Law, E., & Vines, J. (2025). Social agentics. Proceedings of the ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 853–856. [link] 
  45. Rosella, L. C., Shaw, J., Guha, S., Abejirinde, I.–O. O., Gibson, J. L., Lipscombe, L., Kornas, K., Zaim, R., Chui, V., & Itanyi, I. U. (2025). A participatory approach to deploy responsible artificial intelligence for diabetes prediction and prevention. DIGITAL HEALTH, 11. [link] 
  46. ‌Ross, J. M., Cornelius, T. L., & Drouin, M. (2025). Current state of ‘lost in the mall’: Implications for expert witness testimony on the reliability of childhood memories. Psychiatry, Psychology and Law, 1–19. [link]
  47. Saxena, D., Badillo–Urquiola, K., Wisniewski, P., & Guha, S. (2025). ADMAPS lifecycle checklist (v1). Zenodo. [link]
  48. Saxena, D., Kahn, Z., Moon, E. S.–Y., Chambers, L. M., Jackson, C., Lee, M. K., Eslami, M., Guha, S., Erete, S., Irani, L., Mulligan, D., & Zimmerman, J. (2025). Emerging practices in participatory AI design in public sector innovation. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, 777, 1–7.. [link]
  49. Sharma, N. R., Gopakumar, H., Khara, H., Perisetti, A., Gupta, S., DeLeon, M. R., Muller, M., Zelt, C., Flanagan, M., Rumple, A., Johal, A., Confer, B., Li, J., Mizrahi, M., Chen, A., Li, K., Al–Haddad, M., Othman, M., Raijman, I., & El Chafic, A. H. (2025). The benign liver EUS optimal sore Study (BLOCs). Journal of Clinical Gastroenterology. [link]
  50. ‌Sharma, N. R., Gopakumar, H., Malik, T. F., Khan, A., Dahiya, D. S., Vohra, I., Zelt, C. M., Rumple, A., Flanagan, M., Mendoza–Ladd, A., Adam, A. A., Saeed, A. B., Othman, M., Ngamruengphong, S., Arayakarnkul, S., Bhatt, A., Yang, D., Bilal, M., Rojas De Leon, M., & Schlachterman, A. (2025). Large North American multicenter experience on endoscopic submucosal dissection of rectal neoplasms extending to the dentate line. Journal of Clinical Gastroenterology. [link]
  51. Singh, M., Siek, K., Danks, D., Ghani, R., Grin, H., LaMacchia, B., Lopresti, D., & Toscos, T. (2025). Enabling the AI revolution in healthcare. ArXiv.org. [link]
  52. ‌Small, R. F., Drouin, M., Flanagan, M., Coupe, M., Fiechter, J., & Johnson, C. (2025). Reduction in operative time after implementation of computer–assisted navigation in direct anterior total hip arthroplasty with consideration of learning curve. Arthroplasty Today, 31, 101892. [link]
  53. ‌Snider, A., Roebuck, A., Coupe, A., Wu, T. D., & Knipp, M. (2025). Physical therapy timing: An investigation of physical therapy initiation and case duration, restricted workdays, and imaging utilization. Proceedings of IMPRS, 7(1). [link]
  54. Swanson, J., Flanagan, M., & Pfafman, R. (2025). What bereaved people have found helpful following death of a loved one in a hospital: a survey study. Parkview Health Research Repository. [link]
  55. Treggia, E. V., Ioannou, M., Tzani, C., Lester, D., Rogers, L., Williams, T. J., & Drouin, M. (2025). Gen Z hybristophilia: The role of TikTok in young women's attraction to deviant men. Deviant Behavior. [link]
  56. Ventura, A. K., Wolfers, L., Coyne, S. M., Pfafman, R., Uva, S., Ceja Almontes, K. I., Shinde, A. S., Galovan, A. M., & McDaniel, B. T. (2025). Objective versus perceived maternal smartphone use and observed mother–infant interaction quality. Frontiers in Developmental Psychology, 3, 1686250. [link]
2024
  1. Albright, D., Wardell, J., Harrison, A., Mizokami–Stout, K., Hirschfield, E., Garrity, A., Thomas, I., Lee, J. (2024). Screening for diabetes distress and depression in routine clinical care for youth with Type 1 Diabetes. Journal of Pediatric Psychology. 49(5), 356–364. [link]
  2. Drouin, M., Kardys, K., Flanagan, M., Pater, J., & Kerrigan, C. (2024). Cyberbullying and bullying reports among youth in a behavioral health inpatient unit: Insights from youth and parent intake surveys. Journal of the American Psychiatric Nurses Association, 31(3), 250-258. [link]
  3. Bojrab–Wray, M., Drouin, M., Knoop, L., Reining, L., Albright, D., & Wehrle, K. (2024). VeggieRx, a HEALing produce prescription yielding positive health outcome data. Journal of the Academy of Nutrition and Dietetics, 124(10), A51. [link]
  4. Choudhury, M. D., Ding, X., Guha, S., Carvalho, A. F. P. d., Llach, D. C., Mustafa, M., Quercia, D., & Wong–Villacres, M. (2024). PACMHCI V8, CSCW1, April 2024 Editorial. Proceedings of ACM Human–Computer Interaction, 8(CSCW1),10, 1. [link]
  5. Cornelius, T., Jozkowski, K., Ross, J., Temple, J. R., Reidy, D., Wehle, S., & Drouin, M. (2024). Recent research involving consent, alcohol intoxication, and memory: Implications for expert testimony in sexual assault cases. International Journal of Law and Psychiatry, 97. [link] 
  6. ‌Czech, K., Pannunzio, A., Anderson, M., Khan, N., Lacanienta, J., Lee, J., Poddutur, A., Rastovski, E., Voelker, K., Wasyliw, J., & Zou, S. (2024). Enhancing bedside nursing care: An artificial neural network approach to predicting cardiac arrest in hospitalized adults. The Journal of Purdue Undergraduate Research, 14(1). [link]
  7. Das, D., Guha, S., Brubaker, J. R., & Semaan, B. (2024). The ``colonial impulse" of natural language processing: An audit of Bengali sentiment analysis tools and their identity–based biases. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, Article 769..[link]
  8. Drouin, M., Kardys, K., Flanagan, M., Pater, J., & Kerrigan, C. (2024). Cyberbullying and bullying reports among youth in a behavioral health inpatient unit: Insights from youth and parent intake surveys. Journal of the American Psychiatric Nurses Association, 31(3), 250–258. [link]
  9. Drouin, M., Ross, J. M., DiClementi, J. D., Palhoni de Lima, I., & Atkins, A. (2024). Stealthing: Nonconsensual condom removal in same–sex and opposite–sex intimate relationships. Psychology of Violence, 14(2), 117–126. [link]
  10. Dylan Thomas Doyle, Casey Fiesler, Jessica Pater, and Jed R. Brubaker. (2024). Designing for researcher access in the U.S. mortality data ecosystem. Proc. ACM Hum.–Comput. Interact. 8, CSCW2, 493, 1–31. [link]
  11. Erina Seh–Young Moon, & Guha, S. (2024). A human–centered review of algorithms in homelessness research. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, 722, 1–18. [link]
  12. Fayika Farhat Nova, Rachel Pfafman, Caralyn Logan Delaney, and Jessica Pater. (2024). Unveiling the "toxic" world of #Meanspo: Understanding Users' Emerging Online Eating Disorder Practices in X/Twitter. Proc. ACM Hum.–Comput. Interact. 8, CSCW2, Article 522, 1–28 [link]
  13. Fleischmann, K. R., McMillan–Major, A., Bender, E. M., Friedman, B., Saxena, D., Guha, S., Seeman, J., Susser, D., Xia, H., Lancaster, C. M., Schulenberg, K., Flathmann, C., McNeese, N. J., & Freeman, G. (2024). Responsible computing. ACM Journal on Responsible Computing, 1(1). [link]
  14. Haque, M. R., Saxena, D., Weathington, K., Chudzik, J., & Guha, S. (2024). Are we asking the right questions?: Designing for community stakeholders' interactions with AI in policing. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, Article 301, 1–20. [link]
  15. Hasan, M. K., Saxena, D., Rubaiat, Y., Ahamed, S. I., & Guha, S. (2024). Design recommendations towards developing a smartphone–based point–of–care tool for rural Bangladeshi users. International Journal of Human–Computer Interaction, 40(4), 965–985. [link]
  16. ‌Hoelscher, D. M., Alexandra, Roebuck, A., Flores–Thorpe, S., Manuel, K., Menendez, T., Jovanovic, C., Hussaini, A., Menchaca, J. T., Long, E., Crowley, D. M., & Scott, J. T. (2024). Bridging public health research and state–level policy: The Texas Research–to–Policy Collaboration Project. Preventing Chronic Disease, 21. [link]
  17. Huber, L., Singh, A., Dombrowski, L., Guha, S., Hardy, J., & Holten Møller, N. (2024). Datafication dilemmas: Data governance in the public interest. Companion Publication of the 2024 Conference on Computer–Supported Cooperative Work and Social Computing, 114–116. [link]
  18. ‌LaCross, E., Powers, J., & Flanagan, M. (2024). Evaluation of Shared Governance Perceptions at Parkview Health. Parkview Health Research Repository, 69. [link]
  19. Li, J., Bohn, C., Todd, N., Pater, J., Carroll, J., Henriksen, B., & Chang, F. L. (2024). Peripheral neuropathy in long–COVID patients: Demographic distribution and comorbid risk factors. Neurology, 100(17 Supplement), 4505. [link]
  20. Lin, H.–Y., Tan, Y. R., Pruitt, S., Daley, C., & Cornet, V. (2024). User–centered design of applications embedded in electronic health records: Case study of a visualization application for heart failure. Proceedings of the international symposium on human factors and ergonomics in health care, 13(1), 43–48. [link]
  21. Mayworm, S., DeVito, M. A., Delmonaco, D., Thach, H., Haimson, O. L., Rifat, M. R., Asha, A. Z., Jadon, S., Yan, X., Guha, S., Ahmed, S. I., Buz, T., de Melo, G., Dethlefs, N., & Cuayahuitl, H. (2024). Social computing. Association for Computing Machinery. 7(1–4), 2. [link]
  22. McConvey, K., & Guha, S. (2024). "This is not a data problem": Algorithms and power in public higher education in Canada. Proceedings of the CHI conference on human factors in computing systems. Association for Computing Machinery, 16, 1–14. [link]
  23. McConvey, K., & Guha, S. (2024). Designing for fairness in higher education early warning systems. Proceedings of the Canadian conference on artificial intelligence. [link]
  24. McDaniel, B. T., Coleman, B., Cornet, V., Reining, L., Tegiacchi, R., & Kaiser, Z. (2024). Maternal depression and phone use around their children: A phone tracking and daily survey study. Parkview Mirro Center for Research and Innovation. [link]
  25. McDaniel, B. T., Radesky, J., Pater, J., Galovan, A. M., Harrison, A., Cornet, V., Reining, L., Schaller, A., & Drouin, M. (2024). Heavy users, mobile gamers, and social networkers: Patterns of objective smartphone use in parents of infants and associations with parent depression, sleep, parenting, and problematic phone use. Human Behavior and Emerging Technologies, 2024, 3601969. [link]
  26. McDaniel, B. T., Uva, S., Pater, J., Cornet, V., Drouin, M., & Radesky, J. (2024). Daily smartphone use predicts parent depressive symptoms, but parents' perceptions of responsiveness to their child moderate this effect. Frontiers in Developmental Psychology, 2, 142717. [link]
  27. McDaniel, B. T., Ventura, A. K., & Drouin, M. (2024). Parent social media use and gaming on mobile phones, technoference in family time, and parenting stress. Psychology of Popular Media, 14(2), 322–327. [link]
  28. McGuire, A., Flanagan, M., Coffing, J., Traylor, M., Myers, L., Henry, N., Carter, J., Kukla & Matthias, M. (2024). Disruption and sustainment of cognitive behavioral therapy for chronic pain in the Veterans Health Administration following the onset of the COVID–19 pandemic (v1). BMC Health Services Research. [link] 
  29. Miller, A. L., Bauer, K. W., Hilliard, M., Albright, D., Lee, J., Sturza, J., Riley, H., et al. (2024). Family chaos and youth type 1 diabetes (T1D) management. Annals of Behavioral Medicine, 58, 385. [link]
  30. Mohammad Rashidujjaman Rifat, Ashratuz Zavin Asha, Shivesh Jadon, Yan, X., Guha, S., & Syed Ishtiaque Ahmed. (2024). Combating islamophobia: Compromise, community, and harmony in mitigating harmful online content. ACM Transactions on Social Computing, 7(1-4), 2, 1-32. [link]
  31. Mone, V. (2024). Telehealth for Healthy Aging: A Multi–Level, Multi–Methods Approach. DigitalCommons@UNMC. [link]
  32. Moon, E. S.–Y., Mcconvey, K., & Guha, S. (2024). Exploring the role of Generative AI models for research in the public sector. [link]
  33. Moon, E. S.–Y., Saxena, D., Maharaj, T., & Guha, S. (2024). Beyond Predictive Algorithms in Child Welfare. ArXiv.org. [link]
  34. Mothilal, R., Guha, S., & Ahmed, S. I. (2024). Towards a non–ideal methodological framework for responsible ML. Proceedings of the CHI conference on human factors in computing systems. Association for Computing Machinery, 477, 1-17. [link]
  35. Ntountoumi, L, Ioannou, M., Synott, J. P., Tzanipepelasi, K., Morelli, M., Chirumbolo, A., & Drouin, M. (2024). Greek sexting landscape: Uncovering consequences beyond the selfie. Journal of Investigative Psychology and Offender Profiling. [link]
  36. Pater, J., Chopra, S., Carroll, J., Zaccour, J., Nova, F. F., Toscos, T., Guha, S., & Chang, F. L. (2024). Charting the COVID long haul experience – A longitudinal exploration of symptoms, activity, and clinical adherence. Proceedings of the CHI conference on human factors in computing systems. Association for Computing Machinery, 131, 1-21. [link]
  37. Payne, D., Vinson, J., Powers, J., McDaniel, B. T., Sevier, C., Marshall, C. & Sell, S. (2022). Weighted Blanket Versus Traditional Perioperative Practices on Anxiety and Pain in Elective Surgery Patients: A Randomized Controlled Trial. [link]
  38. Porter, C. L., Coyne, S. M., Chojnacki, N., McDaniel, B. T., Reschke, P. J., & Stockdale, L. A. (2024). Effect of weighted blanket effects versus traditional practices on anxiety and pain in patients undergoing elective surgery: A multicenter randomized controlled trial. AORN Journal, 119, 429-439. [link]
  39. Punyanunt–Carter, N. M., Arias, V. S., Dibble, J. L., Drouin, M., Van Ouytsel, J., Martinez, R. J., & Wagner, T. R. (2024). Identifying motivations for relationship alternatives: Analyzing college students' backburner relationships. Journal of Social Psychology Research, 17–25. [link] 
  40. Ramaravind Kommiya Mothilal, Guha, S., & Ahmed, S. I. (2024). Towards a non–ideal methodological framework for responsible ML. ArXiv (Cornell University), 477, 1-17. [link]
  41. Rattray, N. A., Flanagan, M., Mann, A., Danson, L., Do, A.–N., Natividad, D., Spontak, K., & True, G. (2024). Conceptualizing care partners' burden, stress, and support for reintegrating Veterans: A mixed methods study. Frontiers in Public Health, 11, 1295627. [link]
  42. Rifat, M. R., Asha, A. Z., Jadon, S., Yan, X., Guha, S., & Ahmed, S. I. (2024). Combating Islamophobia: compromise, community, and harmony in mitigating harmful online content. ACM Transactions on Social Computing, 7(1), Article 2, 1–32. [link]
  43. Saxena, D., & Guha, S. (2024). Algorithmic harms in child welfare: Uncertainties in practice, organization, and street–level decision–making. ACM Journal on Responsible Computing, 1(1), 1–32. [link]
  44. Shaan Chopra, Jeanne Carroll, and Jessica Pater. (2024). Providing context to the "unknown": patient and provider reflections on connecting personal tracking, patient–reported insights, and EHR data within a post–COVID clinic. Proc. ACM Hum.–Comput, 449, 1-34. [link]
  45. Subramanian, R., Joshi, H., Roebuck, A., Borse, T., & Drouin, M. (2024). 9: Extracorporeal membrane oxygenation support in adult patients with calcium channel blocker toxicity – An ELSO registry analysis. ASAIO Journal, 70(Supplement 4), 1–1. [link]
  46. Subramanian, R; Roebuck, A; Joshi, H; Drouin, M. (2024) Predictors of mortality in adults with calcium channel blocker toxicity receiving extracorporeal membrane oxygenation support: An extracorporeal life support organization registry analysis. ASAIO Journal, 71(3):200-203. [link]
  47. Tan, Y. R., Lin, H.–Y., Pfafman, R., & Cornet, V. P. (2024). Usability and acceptance of check–in kiosks: An illustration of nimble evaluation methods and recommendations for health kiosk deployments. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 61(1), 1843-1847. [link]
  48. Tavakoli, H., Tzani, C., Ioannou, M., Williams, T. J. V., Drouin, M., & Fletcher, R. (2024). Dating applications: A honeypot for sextortion victims. Deviant Behavior, 1–12. [link]
  49. Wardell, J., Albright, D., Chang, C., Plegue, M., Lee, J. E., Hirschfeld, E., Garrity, A., Lee, J. M., DeJonckheere, M. (2024). Associations between psychosocial acuity and glycemic control in pediatric type 1 diabetes clinic. The Science of Diabetes Self–Management and Care, 50(2), 116–129. [link]
  50. Watanabe, M., Reynolds, E. L., Banerjee, M., Charles, M., Mizokami–Stout, K., Albright, D., Ang, L., Lee, J. M., Pop–Busui, R., Feldman, E. L., & Callaghan, B. C. (2024). Bidirectional associations between mental health disorders and chronic diabetic complications in individuals with type 1 or type 2 diabetes. Diabetes Care, 47(9), 1638–1646. [link]
  51. ‌Weiner, M., Flanagan, M. E., Ernst, K., Cottingham, A. H., Rattray, N. A., Franks, Z., Savoy, A. W., Lee, J. L., & Frankel, R. M. (2024). Accuracy, thoroughness, and quality of outpatient primary care documentation in the U.S. Department of Veterans Affairs. BMC Primary Care, 25(1). [link]
  52. Woods, C., Wood, M., Boylan, A., Flanagan, M. E., & Powers, J. (2024). Fasting versus a heart–healthy diet before cardiac catheterization: A randomized controlled trial. American Journal of Critical Care, 33(1), [link]
2023
  1. McDaniel, B. T., Pater, J., Cornet, V., Mughal, S., Reining, L., Schaller, A., Radesky, J., & Drouin, M. (2023). Parents’ desire to change phone use: Associations with objective smartphone use and feelings about problematic use and distraction. Computers in Human Behavior, 148, 107907. [link]
  2. Fiesler, C., Pater, J., Read, J., Vitak, J., & Zimmer, M. (2023). Internet research ethics: A CSCW community discussion. In Companion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing (pp. 566–568). [link]
  3. Li, J., Bohn, C., Todd, N., Pater, J., Carroll, J., Henriksen, B., & Chang, F. L. (2023). Peripheral neuropathy in long–COVID patients: Demographic distribution and risk Factors (P6–10.001). [link]
  4. Pater, J. A., Coupe, A., Nova, F. F., Pfafman, R., Carroll, J., Brouwer, A., Camden, B., Li, J., Todd, N., Chang, F.L., & Guha, S. (2023). Social media is not a health proxy: Differences between social media and electronic health record reports of post–COVID symptoms. Proceedings of the ACM on Human–Computer Interaction, 7(CSCW1), 1–25. [link]
  5. Chui, V., Pater, J., Toscos, T., & Guha, S. (2023). Applying human–centered data science to healthcare: Hyperlocal modeling of COVID–19 hospitalizations. In Companion Proceedings of the 2023 ACM International Conference on Supporting Group Work , 24–26. [link]
  6. Pater, J., & Prates, R. O. (2023). Editorial introduction–supporting group work. Proceedings of the ACM on Human–Computer Interaction, 7(GROUP), 1–1. [link]
  7. Dellen, M., Flanagan, M., Pfafman, R., Drouin, M., Pater, J., & Pei, K. Y. (2023). Factors potential patients deem important for decision–making in high–risk surgical scenarios. Journal of the American College of Surgeons, 236(1), 93–98. [link]
  8. Cornet, V. P., Charles, M., & Toscos, T. (2023). Simulation modeling for health care operations: User–centered design needed!. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (p. 21695067231192438). Sage CA: Los Angeles, CA: SAGE Publications. [link]
  9. Cornet, V. P., Charles, M., & Toscos, T. (2023). Demonstration of a COVID–19 vaccination clinic simulation and use in other settings. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (p. 21695067231192459). Sage CA: Los Angeles, CA: SAGE Publications. [link]
  10. Drouin, M., Flanagan, M., Carroll, J., Kerrigan, C., Henry, H., & Toscos, T. (2023). Piloting a peer support program for patients who screen positive for intimate partner violence, suicidal ideation, and depression. In Healthcare (Vol. 11, No. 17, p. 2422). MDPI. [link]
  11. Daley, C., Coupe, A., Allmandinger, T., Shirazi, J., Wagner, S., Drouin, M., Ahmed, R., Toscos, T., & Mirro, M. (2023). Clinician use of data elements from cardiovascular implantable electronic devices in clinical practice. Cardiovascular Digital Health Journal, 4(1), 29–38. [link]
  12. McCollom, J. W., Coupe, A., Cornet, V., Tan, Y. R., Lin, H. Y., Flanagan, M., & Daley, C. (2023). PRO–SHOUT: Patient reported outcome supportive health in oncology utilizing technology. [link]
  13. Shawcroft, J., Coyne, S. M., Linder, L., Clifford, B. N., & McDaniel, B. T. (2023). Attachment security and problematic media use in infancy: A longitudinal study in the United States. Infancy. [link]
  14. McDaniel, B. T., Cornet, V., Carroll, J., Chrones, L., Chudzik, J., Cochran, J., Guha, S., Lawrence, D.F., McCue, M., Skarkey, S., Lorenz, B. & Fawver, J. (2023). Real–world clinical outcomes and treatment patterns in patients with MDD treated with vortioxetine: a retrospective study. BMC psychiatry, 23(1), 1–14. [link]
  15. McDaniel, B. T., Gullo, N., Kaiser, Z., Reining, L., Chang, I. J., & Drouin, M. (2023). School–issued devices for home use in kindergarten through 5th grade and parent perceptions of child learning, behavior, and conflict. Human Behavior and Emerging Technologies, 2023. [link]
  16. McDaniel, B. T., Rasmussen, S., Reining, L., Culp, L., & Deverell, K. (2023). Pilot study of a screen–free week: Exploration of changes in parent and child screen time, parent well–being and attitudes, and parent–child relationship quality. Human Behavior and Emerging Technologies, 2023. [link]
  17. McDaniel, B. T., & Chang, I. J. (2023). Artificial Intelligence (AI) is here to stay: What do family life educators and family scientists need to know?. [link]
  18. McDaniel PhD, B. T., & Pater PhD, J. (2023). Online Risks for Youth and Families. [link]
  19. Rao, V., DeLeon, G., Thamba, A., Flanagan, M., Nickel, K., Gerue, M., & Gray, D. (2023). A retrospective review of 30–Day hospital readmission risk after open heart surgery in patients with atrial fibrillation. Cureus, 15(9). [link]
  20. Story, K. M., Flanagan, M. E., Robb, S. L., Bravata, D. M., Bair, M. J., Otto, D., & Damush, T. M. (2023). Rapid implementation of Veterans Health Administration telehealth creative arts therapies: survey evaluation of adoption and adaptation. BMC Health Services Research, 23(1), 769. [link].
  21. Rattray, N., Flanagan, M., Salyers, M., Natividad, D., Do, A. N., Frankel, R., Spontak, K. & Kukla, M. (2023). The association between reintegration, perceptions of health and flourishing during transition from military to civilian life among veterans with invisible injuries. [link]
  22. Reynolds, E. L., Mizokami–Stout, K., Putnam, N. M., Banerjee, M., Albright, D., Ang, L., Lee, j., Pop–Busui, R., Feldman, E. & Callaghan, B. C. (2023). Cost and utilization of healthcare services for persons with diabetes. Diabetes Research and Clinical Practice, 205, 110983. [link]
  23. Jarrahi, M. H., Memariani, A., & Guha, S. (2023). The principles of data–centric ai (dcai). arXiv preprint arXiv:2211.14611. [link]
  24. Das, D., Guha, S., & Semaan, B. (2023). Toward cultural bias evaluation datasets: The case of Bengali gender, religious, and national identity. In Proceedings of the First Workshop on Cross–Cultural Considerations in NLP (C3NLP) , 68–83. [link]
  25. Saxena, D., Moon, E. S. Y., Chaurasia, A., Guan, Y., & Guha, S. (2023). Rethinking “risk" in algorithmic systems through a computational narrative analysis of casenotes in child–welfare. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems , 1–19. [link]
  26. McConvey, K., Guha, S., & Kuzminykh, A. (2023). A human–centered review of algorithms in decision–making in higher education. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–15. [link]
  27. De Choudhury, M., Ding, X., Guha, S., Pinatti de Carvalho, A. F., Kuzuoka, H., Reinecke, K., Wang, H.C. & Yamashita, N. (2023). PACMHCI V7, CSCW1, April 2023 Editorial. Proceedings of the ACM on Human–Computer Interaction, 7(CSCW1), 1–1. [link]
  28. Bojrab–Wray, M., GiaQuinta, S., Wehrle, K., Albright, D., Reining, L., Drouin, M., & Knoop, L. (2023). Produce prescriptions–recipe for a successful ‘veggie Rx to HEAL’ grant application led by RDNs. Journal of the Academy of Nutrition and Dietetics, 123(9), A50.
  29. Bojrab–Wray, M., GiaQuinta, S., Albright, D., Reining, L., Drouin, M., Wehrle, K., & Knoop, L. (2023). Community buy–in and client engagement in a produce prescription program. Journal of the Academy of Nutrition and Dietetics, 123(9), A46. [link]
  30. Drouin, M., Hernandez, E., Machette, A., Garcia, J. R., & Boyd, R. L. (2023). An exploration of marks/injuries related to BDSM sexual experiences. Sexual medicine, 11(3), qfad020. [link]
  31. Dibble, J. L., Punyanunt–Carter, N. M., & Drouin, M. (2023). Communicating with back burners among college students according to relationship status and love styles. Communication Research Reports, 40(1), 30–39. [link]
  32. Jozkowski, K. N., Marcantonio, T., Willis, M., & Drouin, M. (2023). Does alcohol consumption influence people’s perceptions of their own and a drinking partner’s ability to consent to sexual behavior in a non–sexualized drinking context?. Journal of interpersonal violence, 38(1–2), 128–155. [link]
2022
  1. Pater, J. A., Toscos, T., Flanagan, M., Drouin, M., McMahan, D., Distler, M., Hayes, P. & Peters, N. (2022, December). Connecting self–reported COVID–19 needs with social determinants of health. In International Conference on Pervasive Computing Technologies for Healthcare (pp. 207–225). Cham: Springer Nature Switzerland. [link]
  2. Pater, J. A., Guha, S., Pfafman, R., Kerrigan, C., & Toscos, T. (2022, December). Spatio–temporal predictive modeling for placement of substance use disorder treatment facilities in the Midwestern US. In International Conference on Pervasive Computing Technologies for Healthcare (pp. 429–438). Cham: Springer Nature Switzerland. [link]
  3. Phelan, C., Heyer, J., Pfafman, R., Kerrigan, C., Tzilos Wernette, G. K., Dombrowski, L., Miller, A.D. & Pater, J. (2022). The Work of Digital Social Re–entry in Substance Use Disorder Recovery. Proceedings of the ACM on Human–Computer Interaction, 6(CSCW2), 1–33. [link]
  4. Nova, F. F., Pfafman, R., Kardys, K., Kerrigan, C., Guha, S., & Pater, J. (2022). Uncovering adverse childhood experiences (aces) from clinical narratives within the electronic health record. Proceedings of the ACM on Human–Computer Interaction, 6(CSCW2), 1–29. [link]
  5. Nova, F. F., Pfafman, R., Kardys, K., Kerrigan, C., Guha, S., & Pater, J. (2022). Uncovering adverse childhood experiences (aces) from clinical narratives within the electronic health record. Proceedings of the ACM on Human–Computer Interaction, 6(CSCW2), 1–29. [link]
  6. Kiessling, K. A., Iott, B. E., Pater, J. A., Toscos, T. R., Wagner, S. R., Gottlieb, L. M., & Veinot, T. C. (2022). Health informatics interventions to minimize out–of–pocket medication costs for patients: what providers want. JAMIA open, 5(1), ooac007. [link]
  7. Pater, J., Fiesler, C., & Zimmer, M. (2022). No humans here: Ethical speculation on public data, unintended consequences, and the limits of institutional review. Proceedings of the ACM on Human–Computer Interaction, 6(GROUP), 1–13. [link]
  8. Bohn, C., Li, J., Todd, N., Pater, J., Carroll, J., Henriksen, B., & Chang, F. L. (2022). Predicting Cognitive Impairment in Long–COVID Patients: A Demographic and Comorbid Analysis using BrainCheck Cognitive Assessment. Proceedings of IMPRS, 5(1). [link]
  9. Li, J., Bohn, C., Todd, N., Pater, J., Carroll, J., & Henriksen, B. (2022). Peripheral Neuropathy in Long–COVID Patients: Demographic Distribution and Medical Risk Factors. Proceedings of IMPRS, 5(1). [link]
  10. Todd, N., Pater, J., Li, J., Bohn, C., Henriksen, B., Carroll, J., & Chang, F. L. (2022). Associations Between Psychiatric Symptoms and Cognitive Impairment in Post–Acute Sequelae of COVID. Proceedings of IMPRS, 5(1). [link]
  11. Nova, F. F., Coupe, A., Mynatt, E. D., Guha, S., & Pater, J. A. (2022). Cultivating the community: inferring influence within eating disorder networks on twitter. Proceedings of the ACM on Human–Computer Interaction, 6(GROUP), 1–33. [link]
  12. Toscos, T., Cornet, V. P., Charles, M., Cumbee, E., Gabet, C., Massing, E., & Stienecker, S. (2022, September). COVID–19 Vaccination Clinic Success: An Interdisciplinary Application of Simulation and Modeling. In Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care (Vol. 11, No. 1, pp. 92–94). Sage CA: Los Angeles, CA: SAGE Publications. [link]
  13. Richards, O. K., Iott, B. E., Toscos, T. R., Pater, J. A., Wagner, S. R., & Veinot, T. C. (2022). “It’sa mess sometimes”: patient perspectives on provider responses to healthcare costs, and how informatics interventions can help support cost–sensitive care decisions. Journal of the American Medical Informatics Association, 29(6), 1029–1039. [link]
  14. Daley, C. N., Cornet, V. P., Toscos, T. R., Bolchini, D. P., Mirro, M. J., & Holden, R. J. (2022). Naturalistic decision making in everyday self–care among older adults with heart failure. Journal of Cardiovascular Nursing, 37(2), 167–176. [link]
  15. Robertson, R., Flanagan, M., Howard, K., Meisberger, E., Keltner, B. S., Singh, L., Daley, C., Wagner, S., Toscos, T. & Mirro, M. D. (2022). Integrating Pharmacists in HFrEF Outpatient Care to Improve Use of Guideline–Directed Medical Therapy. [link]
  16. Daley, C., Wagner S., Ahmed, R., Rohani Ghahari, R., Toscos, T., & Mirro, (2022). Designing Displays of Cardiac Implantable Electronic Device Sensor Data with Patients who have Heart Failure with Reduced Ejection Fraction. [link]
  17. Flanagan, M., Munro, C., & Grover, S. (2022, December). Missing and Dismissing the Impact of Periods. Period Outcomes of Focus Groups of Teens with Period Concerns. In Australian & New Zealand Journal of Obstetrics & Gynecology (Vol. 62, pp. 23–24). WILEY.
  18. McGuire, A. B., Flanagan, M. E., Myers, L. J., Kukla, M., Rollins, A. L., Garabrant, J., Henry, n., Eliacin, J., Hung, MG, Iwawmasa, GY, & Carter, JL. (2022). Recovery–oriented inpatient mental health care and readmission. Psychiatric Rehabilitation Journal, 45(4), 331. [link]
  19. McCollom, J. W., Drouin, M., Flanagan, M., & Pfafman, R. (2022). Patient efficacy in telehealth is moderated by distress among patients with cancer: A cross–sectional survey study. [link]
  20. Eliacin, J., Carter, J., Bass, E., Flanagan, M., Salyers, M. P., & McGuire, A. (2022). Implementation and staff understanding of shared decision–making in the context of recovery–oriented care across US Veterans Health Administration (VHA) inpatient mental healthcare units: A mixed–methods evaluation. BMJ open, 12(5), e057300. [link]
  21. Story, Kristin M., Mindy E. Flanagan, Heather A. Brown, Sheri L. Robb, Teresa M. Damush, and David Otto. "Veterans hospital administration telehealth utilization for recreation and creative arts therapies: A brief report." Telemedicine and e–Health 28, no. 5 (2022): 752–757. [link]
  22. Joshi, H., Flanagan, M., Subramanian, R., & Drouin, M. (2022). Respiratory ECMO Survival Prediction (RESP) score for COVID–19 patients treated with ECMO. ASAIO Journal, 68(4), 486–491. [link]
  23. Matthew, J., & McDaniel, B. T. (2022). Partners with lower relationship commitment are more likely to use technology during couple leisure time. Parkview Mirro Center for Research and Innovation. [link]
  24. McDaniel, B. T., Adams, E. L., Hohman, E. E., Cornet, V., Reining, L., & Kaiser, Z. (2022). Maternal nighttime phone use and impacts on daily happiness and exhaustion. Acta Paediatrica (Oslo, Norway: 1992), 111(3), 584. [link]
  25. Miller, A. L., Albright, D., Bauer, K. W., Riley, H. O., Hilliard, M. E., Sturza, J., Kaciroti, N., Lo, S.L., Clark, K.M. & Fredericks, E. M. (2022). Self–Regulation as a Protective Factor for Diabetes Distress and Adherence in Youth with Type 1 Diabetes During the COVID–19 Pandemic. Journal of pediatric psychology, 47(8), 873–882. [link]
  26. Putnam, N. M., Reynolds, E. L., Banerjee, M., Mizokami–Stout, K., Albright, D., Lee, J., Pop–Busui, R., Feldman, E.L. & Callaghan, B. C. (2022). Neuropsychological Outcomes in Individuals With Type 1 and Type 2 Diabetes. Frontiers in Endocrinology, 13, 834978. [link]
  27. Albright, D. K., Gornik, A., Andersen, M., Monroe, K., & Kullgren, K. A. (2022). Evaluation of standardized psychological screening for pediatric inpatients. Clinical Practice in Pediatric Psychology, 10(1), 66. [link]
  28. O'Connor, K. W., McDonald, K. S., McDaniel, B. T., & Schmidt, G. B. (2022). Social media activity: its impact on career–related perceptions. Development and Learning in Organizations: An International Journal, 36(5), 1–3. [link]
  29. Linder, L., McDaniel, B. T., & Jaffe, H. (2022). Moment–to–Moment Observation of Parental Media Use and Parent–Child Interaction: Quality and Media Multitasking. Human Behavior and Emerging Technologies, 2022. [link]
  30. Coyne, S. M., Shawcroft, J., Gale, M., Reich, S. M., Linder, L., McDaniel, B., Stockdale, L. & Booth, M. (2022). Digital distraction or accessible aid? Parental media use during feedings and parent–infant attachment, dysfunction, and relationship quality. Computers in Human Behavior, 127, 107051. [link]
  31. Le, Y., Fredman, S. J., Marshall, A. D., Chow, S. M., McDaniel, B. T., Laurenceau, J. P., & Feinberg, M. E. (2022). Relational impacts of capitalization in early parenthood. Journal of Family Psychology, 36(1), 69. [link]
  32. Lippold, M. A., McDaniel, B. T., & Jensen, T. M. (2022). Mindful parenting and parent technology use: Examining the intersections and outlining future research directions. Social Sciences, 11(2), 43. [link]
  33. Runyan, M., Fawver, J., Coupe, A., & Drouin, M. (2022). New–onset psychosis following COVID–19 infection in a patient with no psychiatric history: A longitudinal case report. Psychiatry Research Case Reports, 1(2), 100035. [link]
  34. Greer, K. M., Cary, K. M., Maas, M. K., Drouin, M., & Cornelius, T. L. (2022). Differences between gender and relationship status in motivations and consequences of consensual sexting among emerging adults. Sexuality & Culture, 26(4), 1432–1451. [link]
  35. O'Connor, K. W., Drouin, M., & Johnson, L. (2022). Case law: Learning tools for organizations. Development and Learning in Organizations: An International Journal, 36(4), 17–19. [link]
  36. Michelle, D., Susan, S., Robert, N., & Taylor, P. (2021). Is chatting with a sophisticated chatbot as good as chatting online or FTF with a stranger?. Computers in Human Behavior, 16(1), 1–10. [link]
  37. Sprecher, S., O’Sullivan, L. F., Drouin, M., Verette–Lindenbaum, J., & Willetts, M. C. (2022). Perhaps it was too soon: college students’ reflections on the timing of their sexual debut. The Journal of Sex Research, 59(1), 39–52. [link]
  38. Muller, M., Agelov, P., Daume, H., Liao, Q. V., Oliver, N., & Piorkowski, D. (2022, November). Hcai@ neurips 2022, human centered ai. In Annual Conference on Neural Information Processing Systems. [link]
  39. El‐Chami, M., Weiss, R., Burke, M. C., Gold, M. R., Prutkin, J. M., Kalahasty, G., Shen, S., Mirro, M.J., Carter, N., & Aasbo, J. D. (2021). Outcomes of two versus three incision techniques: Results from the subcutaneous ICD post‐approval study. Journal of cardiovascular electrophysiology, 32(3), 792–801. [link]
  40. Goldberg, L. R., Jorbenadze, A., Shaburishvilli, T., Mirro, M. J., Fudim, M., Zuber, M., Stampfli, S.F., Tanner, F.C., Erne, P., & Cleland, J. G. (2022). Synchronized diaphragmatic stimulation: a case report of a novel extra‐cardiac intervention for chronic heart failure. ESC Heart Failure, 9(3), 1677–1681. [link]
  41. Stapleton, L., Saxena, D., Kawakami, A., Nguyen, T., Ammitzbøll Flügge, A., Eslami, M., ... & Zhu, H. (2022, November). Who Has an Interest in “Public Interest Technology”?: Critical Questions for Working with Local Governments & Impacted Communities. In Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing (pp. 282–286). [link]
  42. Nova, F. F., Saha, P., & Guha, S. (2022, June). Understanding Online Harassment and Safety Concerns of Marginalized LGBTQ+ Populations on Social Media in Bangladesh. In Proceedings of the 2022 International Conference on Information and Communication Technologies and Development (pp. 1–5). [link]
  43. Clancy, K., Chudzik, J., Snowden, A. J., & Guha, S. (2022). Reconciling data–driven crime analysis with human–centered algorithms. Cities, 124, 103604. [link]
  44. Tanweer, A., Aragon, C. R., Muller, M., Guha, S., Passi, S., Neff, G., & Kogan, M. (2022, April). Interrogating human–centered data science: Taking stock of opportunities and limitations. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1–6). [link]
  45. Saxena, D., Repaci, C., Sage, M. D., & Guha, S. (2022, April). How to Train a (Bad) Algorithmic Caseworker: A Quantitative Deconstruction of Risk Assessments in Child Welfare. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1–7). [link]
  46. Saxena, D., Moon, S. Y., Shehata, D., & Guha, S. (2022, April). Unpacking invisible work practices, constraints, and latent power relationships in child welfare through casenote analysis. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1–22). [link]
  47. Zytko, D., J. Wisniewski, P., Guha, S., PS Baumer, E., & Lee, M. K. (2022, April). Participatory design of AI systems: opportunities and challenges across diverse users, relationships, and application domains. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1–4). [link]
  48. Aragon, C., Guha, S., Kogan, M., Muller, M., & Neff, G. (2022). Human–centered data science: an introduction. MIT Press. [link]
  49. Saxena, D., & Guha, S. (2022). Algorithms in the daily lives of child–welfare caseworkers: Harms to practice, agency, and street–level decision–making. Agency, and Street–Level Decision–Making. [link]
  50. Salah, H. M., Goldberg, L. R., Molinger, J., Felker, G. M., Applefeld, W., Rassaf, T., Tedfor, R.J., Mirro, m. Cleland, J.G., & Fudim, M. (2022). Diaphragmatic function in cardiovascular disease: JACC review topic of the week. Journal of the American College of Cardiology, 80(17), 1647–1659. [link]
  51. Jorbenadze, A., Goldberg, L. R., Shaburishvili, T., Zuber, M., Mirro, M., & Fudim, M. (2022). Synchronized Diaphragmatic Stimulation for Heart Failure With a Reduced Left Ventricular Ejection Fraction Using the VisONE System: A First–in–Patient Study With Extended Population. Structural Heart, 6(6), 100103. [link]
  52. Jorbendaze, A., Young, R., Shaburishvili, T., Demyanchuk, V., Buriak, R., Todurov, B., Mirro, M.J. & Cleland, J. G. (2022). Synchronized diaphragmatic stimulation for heart failure using the VisONE system: a first‐in‐patient study. ESC Heart Failure, 9(4), 2207–2214. [link]
  53. Goldberg, L. R., Jorbenadze, A., Shaburishvilli, T., Mirro, M. J., Fudim, M., Zuber, M., Stampfli, S., Tanner, F.C., Erne, P., & Cleland, J. G. (2022). Synchronized diaphragmatic stimulation: a case report of a novel extra‐cardiac intervention for chronic heart failure. ESC Heart Failure, 9(3), 1677–1681. [link]
  54. Fudim, M., Mirro, M., & Goldberg, L. R. (2022). Synchronized diaphragmatic stimulation for the treatment of symptomatic heart failure: A novel implantable therapy concept. Basic to Translational Science, 7(3_Part_2), 322–323. [link]
  55. Arand, P., Bauer, P., Cheng, J., Harris, G., & Fudim, M. (2022). Device–based Activity Assessment In Chronic Heart Failure Patients Undergoing Synchronized Diaphragmatic Stimulation. Journal of Cardiac Failure, 28(5), S52. [link]
2021
  1. Giwa, L., Toscos, T., & Wagner, S. (2021). Intimate Partner Violence Screening in Perinatal Facilities Throughout Parkview Health. Proceedings of IMPRS, 4(1). [link]
  2. Daley, C., Toscos, T., Allmandinger, T., Ahmed, R., Wagner, S., & Mirro, M. (2021). Organizational models for cardiac implantable electronic device remote monitoring: Current and future directions. Cardiac Electrophysiology Clinics, 13(3), 483–497. [link]
  3. Pater, J., Nova, F. F., Coupe, A., Reining, L. E., Kerrigan, C., Toscos, T., & Mynatt, E. D. (2021, May). Charting the unknown: Challenges in the clinical assessment of patients’ technology use related to eating disorders. In Proceedings of the 2021 CHI conference on human factors in computing systems (pp. 1–14). [link]
  4. Pater, J., Coupe, A., Pfafman, R., Phelan, C., Toscos, T., & Jacobs, M. (2021, May). Standardizing reporting of participant compensation in HCI: A systematic literature review and recommendations for the field. In Proceedings of the 2021 CHI conference on human factors in computing systems (pp. 1–16). [link]
  5. Pater, J. A., Phelan, C., Cornet, V. P., Ahmed, R., Colletta, S., Hess, E., Kerrigan, C., & Toscos, T. (2021). User–centered design of a mobile app to support peer recovery in a clinical setting. Proceedings of the ACM on Human–Computer Interaction, 5(CSCW1), 1–31. [link]
  6. Chaudhary, A., Paters, J., Flanagan, M., Pfafman, R., Carroll, J., & Chang, F. L. (2021). Post–COVID–19 Fatigue: Demographic Distribution and Relation to Chronic Illnesses. Proceedings of IMPRS, 4(1). [link]
  7. Mirro, M., Maisonneuve, A., Stienecker, S., Menachemi, N., Pater, J., Guha, S., Cornet, V., Gabet, C., Cumbee, E., Sabo, J. & Boord, J. (2021). 17th Annual Parkview Research Symposium 2020 and COVID–19: An Extraordinary Year for Science and Innovation. [link]
  8. McGuire, A. B., Kukla, M., Rollins, A. L., Garabrant, J., Henry, N., Eliacin, J., Myers, L.J., Flanagan, M., Hunt, M.G., Iwamasa, G.Y., & Bauer, S.M. (2021). Recovery–oriented acute inpatient mental health care: Operationalization and measurement. Psychiatric Rehabilitation Journal, 44(4), 318. [link]
  9. McGuire, A., Matthias, M. S., Kukla, M., Henry, N., Carter, J., Flanagan, M., Bair, M.J., & Murphy, J. L. (2021). A national survey of patient completion of cognitive behavioral therapy for chronic pain: The role of therapist characteristics, attempt rates, and modification. Professional Psychology: Research and Practice, 52(6), 542. [link]
  10. McGuire, A. B., Flanagan, M. E., Kukla, M., Rollins, A. L., Myers, L. J., Bass, E., Garabrant, J.M. & Salyers, M. P. (2021, November). Inpatient Mental Healthcare before and during the COVID–19 Pandemic. In Healthcare (Vol. 9, No. 12, p. 1613). MDPI. [link]
  11. Leathers, C., Kroenke, K., Flanagan, M., Diaz, S., Gruber, R., Tran, G., & Driver, D. (2021). Somatic, anxiety, and depressive (SAD) symptoms in young adult Latinx immigrants: prevalence and predictors. Journal of Immigrant and Minority Health, 23(5), 956–964. [link]
  12. Rattray, N. A., Flanagan, M. E., Militello, L. G., Barach, P., & Frankel, R. M. (2021). The art of effective handoff communication among medical and surgery residents. Journal of Cognitive Engineering and Decision Making, 15(2–3), 66–82. [link]
  13. Rollins, A. L., Eliacin, J., Russ–Jara, A. L., Monroe–Devita, M., Wasmuth, S., Flanagan, M. E., Morse, G.A., Leiter, M., & Salyers, M. P. (2021). Organizational conditions that influence work engagement and burnout: A qualitative study of mental health workers. Psychiatric Rehabilitation Journal, 44(3), 229. [link]
  14. Mahendraker, N., Flanagan, M., Azar, J., & Williams, L. S. (2021). Development and Validation of a 30–Day In–hospital Mortality Model Among Seriously Ill Transferred Patients: a Retrospective Cohort Study. Journal of General Internal Medicine, 1–7. [link]
  15. Donegan, D., Gowan, T., Gruber, R., Cottingham, A., Flanagan, M., Erickson, D., & Imperiale, T. F. (2021). The need for patient–centered education among patients newly diagnosed with a pituitary tumor. Journal of the Endocrine Society, 5(6), bvab061. [link]
  16. McDaniel, B. T., Galovan, A. M., & Drouin, M. (2021). Daily technoference, technology use during couple leisure time, and relationship quality. Media Psychology, 24(5), 637–665. [link]
  17. Zayia, D., Parris, L., McDaniel, B., Braswell, G., & Zimmerman, C. (2021). Social learning in the digital age: Associations between technoference, mother–child attachment, and child social skills. Journal of school psychology, 87, 64–81. [link]
  18. McDaniel, B. T., O'Connor, K., & Drouin, M. (2021). Work–related technoference at home and feelings of work spillover, overload, life satisfaction and job satisfaction. International Journal of Workplace Health Management, 14(5), 526–541. [link]
  19. McDaniel, B. T., Drouin, M., Dibble, J., Galovan, A. M., & Merritt, M. (2021). Are You Going to Delete Me? Latent Profiles of Post–Relationship Breakup Social Media Use and Emotional Distress. Cyberpsychology, Behavior, and Social Networking, 24(7), 464–472. [link]
  20. Linder, L. K., McDaniel, B. T., Stockdale, L., & Coyne, S. M. (2021). The impact of parent and child media use on early parent–infant attachment. Infancy, 26(4), 551–569. [link]
  21. Torres, C., Radesky, J., Levitt, K. J., & McDaniel, B. T. (2021). Is it fair to simply tell parents to use their phones less? A qualitative analysis of uses and gratifications of parent phone use. Acta Paediatrica, 110, 2594-2596. [link]
  22. Drouin, M., & McDaniel, B. T. (2021). Technology use during couples’ bedtime routines, bedtime satisfaction, and associations with individual and relational well–being. Journal of Social and Personal Relationships, 38(4), 1329–1349. [link]
  23. Dibble, J. L., & McDaniel PhD, B. T. (2021). Romance and Dating in the Digital Age: Impacts of Computer–Mediated Communication and a Global Pandemic. Cyberpsychol Behav Soc Netw, 24(7), 437. [link]
  24. McDaniel, B. T. (2021). The DISRUPT: A measure of parent distraction with phones and mobile devices and associations with depression, stress, and parenting quality. Human Behavior and Emerging Technologies, 3(5), 922–932. [link]
  25. McDaniel, B. T., & Wesselmann, E. (2021). “You phubbed me for that?” Reason given for phubbing and perceptions of interactional quality and exclusion. Human Behavior and Emerging Technologies, 3(3), 413–422. [link]
  26. Perlman, D., Sprecher, S., & Drouin, M. (2021). Introduction to the special issue on communication technologies and relationships. Journal of Social and Personal Relationships, 38(12), 3417–3428. [link]
  27. O’Connor, K. W., Drouin, M., & Niedermeyer, T. (2021). How do age, sex, political orientation, religiosity, and sexism affect perceptions of sex assault/harassment allegations?. Sexuality & Culture, 25(5), 1605–1619. [link]
  28. Banas, J. A., Dibble, J. L., Bessarabova, E., & Drouin, M. (2021). Simmering on the back burner or playing with fire? Examining the consequences of back–burner digital communication among ex–partners. Cyberpsychology, Behavior, and Social Networking, 24(7), 473–479. [link]
  29. Kistler, T., Cornelius, T., Bell, K., & Drouin, M. (2021, June). Consensual Sexting Among Emerging Adults: The Interplay of Coercion and Intimate Partner Aggression in Perceived Consequences of Sexting. In SPR Virtual 29th Annual Meeting. SPR. [link]
  30. Abbasi, I., & Drouin, M. (2019). Neuroticism and Facebook addiction: How social media can affect mood?. The American Journal of Family Therapy, 47(4), 199–215. [link]
  31. Morelli, M., Urbini, F., Bianchi, D., Baiocco, R., Cattelino, E., Laghi, F., Sorokowski, P., Dziekan, M., Hudson, H., & Marshall, A. (2021). The relationship between dark triad personality traits and sexting behaviors among adolescents and young adults across 11 countries. International journal of environmental research and public health, 18(5), 2526. [link]
  32. Dibble, J. L., Banas, J. A., & Drouin, M. (2021). Fanning the flames of back burner relationships electronically: Prevalence and implications for romances and well–being among adults. Atlantic Journal of Communication. [link]
  33. Campbell, L., George, A., & Guha, S. (2021, October). Practitioner Attitudes towards an Early Warning System: From Professional Distraction to Relational Support. In 2021 IEEE International Professional Communication Conference (ProComm) (pp. 123–124). IEEE. [link]
  34. Saxena, D., Badillo–Urquiola, K., Wisniewski, P. J., & Guha, S. (2021). A framework of high–stakes algorithmic decision–making for the public sector developed through a case study of child–welfare. Proceedings of the ACM on Human–Computer Interaction, 5(CSCW2), 1–41. [link]
  35. Campbell, L., George, A., & Guha, S. (2021, October). Communication and Algorithmic Decision Making in a Virtual Healthcare Context. In Proceedings of the 39th ACM International Conference on Design of Communication (pp. 367–369). [link]
  36. Skeba, P., Saxena, D., Guha, S., & Baumer, E. P. (2021). Who has a Choice?: Survey–based predictors of volitionality in Facebook use and non–use. Proceedings of the ACM on Human–Computer Interaction, 5(GROUP), 1–25. [link]
  37. Hasan, M. K., Aziz, M. H., Zarif, M. I. I., Hasan, M., Hashem, M. M. A., Guha, S., Love, R., & Ahamed, S. (2021). Noninvasive hemoglobin level prediction in a mobile phone environment: State of the art review and recommendations. JMIR mHealth and uHealth, 9(4), e16806. [link]
  38. Nova, F. F., DeVito, M. A., Saha, P., Rashid, K. S., Roy Turzo, S., Afrin, S., & Guha, S. (2021). " Facebook Promotes More Harassment" Social Media Ecosystem, Skill and Marginalized Hijra Identity in Bangladesh. Proceedings of the ACM on Human–Computer Interaction, 5(CSCW1), 1–35. [link]
  39. Manuel, K., Menendez, T., Roebuck, A., Flores–Thorpe, S., Moore, M., Scott, T., van den Berg, A., & Hoelscher, D. (2021, October). Evaluating public health researchers’ communication activities and policy–related knowledge in Texas. In APHA 2021 Annual Meeting and Expo. APHA. [link]
  40. Roebuck, A., Neal, K., Flores–Thorpe, S., Manuel, K., Moore, M., Menendez, T., Scott, T., van den Berg, A., & Hoelscher, D. (2021, October). Development and dissemination of health policy resources for state legislators: Findings from the Texas research–to–policy collaboration project (TX RPC). In APHA 2021 Annual Meeting and Expo. APHA. [link]
  41. Manuel, K., Menendez, T., Roebuck, A., Flores–Thorpe, S., Moore, M., Scott, T., van den Berg, A., & Hoelscher, D. (2021, October). Evaluating public health researchers’ communication activities and policy–related knowledge in Texas. In APHA 2021 Annual Meeting and Expo. APHA. [link]
  42. El‐Chami, M., Weiss, R., Burke, M. C., Gold, M. R., Prutkin, J. M., Kalahasty, G., Shen, S., Mirro, M.J., Carter, N., & Aasbo, J. D. (2021). Outcomes of two versus three incision techniques: Results from the subcutaneous ICD post‐approval study. Journal of cardiovascular electrophysiology, 32(3), 792–801. [link]
2020
  1. Drouin, M., McDaniel, B. T., Pater, J., & Toscos, T. (2020). How parents and their children used social media and technology at the beginning of the COVID–19 pandemic and associations with anxiety. Cyberpsychology, Behavior, and Social Networking, 23(11), 727–736. [link]
  2. Toscos, T., Daley, C., Wagner, S., Coupe, A., Ahmed, R., Holden, R. J., Flanagan, m.E., Pfafman, R., Ghahari, R.R., & Mirro, M. (2020). Patient responses to daily cardiac resynchronization therapy device data: A pilot trial assessing a novel patient–centered digital dashboard in everyday life. Cardiovascular Digital Health Journal, 1(2), 97–106. [link]
  3. Holden, R. J., Daley, C. N., Mickelson, R. S., Bolchini, D., Toscos, T., Cornet, V. P., Miller, A., & Mirro, M. J. (2020). Patient decision–making personas: an application of a patient–centered cognitive task analysis (P–CTA). Applied ergonomics, 87, 103107. [link]
  4. Toscos, T., Coupe, A., Wagner, S., Ahmed, R., Roebuck, A., Flanagan, M., Drouin, M., & Mirro, M. (2020). Engaging patients in atrial fibrillation management via digital health technology: the impact of tailored messaging. The Journal of Innovations in Cardiac Rhythm Management, 11(8), 4209. [link]
  5. Cornet, V. P., Toscos, T., Bolchini, D., Ghahari, R. R., Ahmed, R., Daley, C., Mirro, M.J. & Holden, R. J. (2020). Untold stories in user–centered design of mobile health: practical challenges and strategies learned from the design and evaluation of an app for older adults with heart failure. JMIR mHealth and uHealth, 8(7), e17703. [link]
  6. Toscos, T. R., Coupe, A., Wagner, S., Drouin, M., Roebuck, A. E., Daley, C. N., ... & Mirro, M. J. (2020). Can nurses help improve self‐care of patients living with atrial fibrillation? A focus group study exploring patients' disease knowledge gaps. Nursing Open, 7(4), 998–1010. [link]
  7. Toscos, T., Drouin, M., Pater, J. A., Flanagan, M., Wagner, S., Coupe, A., Ahmed, R., & Mirro, M. J. (2020). Medication adherence for atrial fibrillation patients: triangulating measures from a smart pill bottle, e–prescribing software, and patient communication through the electronic health record. JAMIA open, 3(2), 233–242. [link]
  8. Daley, C., Ghahari, R. R., Drouin, M., Ahmed, R., Wagner, S., Reining, L., Coupe, A., Toscos, T., & Mirro, M. (2020). Involving patients as key stakeholders in the design of cardiovascular implantable electronic device data dashboards: implications for patient care. Heart Rhythm O2, 1(2), 136–146. [link]
  9. Pater, J. A., Coupe, A., Miller, A. D., Reining, L. E., Drouin, M., & Toscos, T. (2020, May). Design opportunities and challenges for app–based telemental health technologies for teens and young adults. In Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 188–200). [link]
  10. Kardys, K., Pfafman, R., Kerrigan, C., Reining, L., Drouin, M., Toscos, T., & Pater, J. (2020, May). Cyberbullying: Determining the Prevalence and Impact of Bullying and Cyberbullying as a Contributing Factor in Patients Who Have Been Admitted Into an Inpatients Facility. In Journal of the American Psychiatric Nurses Association (Vol. 26, No. 3, pp. 311–311). SAGE Publications.
  11. Robertson, R. W., Howard, K., Meisberger, E., Keltner, E., Flanagan, M., Wagner, S. R., Daley, C., toscos, T., & Mirro, M. (2020). Successful pharmacist intervention to optimize guideline directed medical therapy in heart failure patients. Journal of the American College of Cardiology, 75(11_Supplement_1), 958–958. [link]
  12. Ahmed, R., Drouin, M., Martin, E., Mirro, M., Ghahari, R. R., & Toscos, T. (2020). Perceptions on tailored educational messaging to patients with atrial fibrillation: towards increased patient engagement and medication adherence. Heart & Lung, 49(2), 216. [link]
  13. Foster, M., Albanese, C., Chen, Q., Sethares, K., Evans, S., Lehmann, L., ... & Baublet, A. (2020). Heart failure dashboard design and validation to improve care of veterans. Applied Clinical Informatics, 11(01), 153–159. [link]
  14. Flanagan, M., McDaniel, B. T., Drouin, M., Pater, J., & Toscos, T. (2020). Parents’ Feelings about School Reopening during COVID–19: Survey Results from Northeast Indiana. Parkview Mirro Center for Research and Innovation. [link]
  15. Daley, C., Bute, J. J., Toscos, T., Bolchini, D. P., Mirro, M., & Holden, R. J. (2020). The heart didn’t know enough to stop”: Insights from patient metaphors about living with cardiac implantable electronic devices. [link]
  16. Iott, B., Anthony, D., Pater, J., Wagner, S., Toscos PhD, T., & Veinot, T. (2020). Nothing New Under the Sun: How Existing Screening Programs can Inform the Design of Social Determinants of Health Screening in Health Care. [link]
  17. Iott, B, E., Wagner, S., Toscos, T., & Veinot, T. (2020). Improving Social Determinants of Health Screening Implementation Through Collaboration: Leveraging a Clinical–Academic Partnership. [link]
  18. Robertson MD, R., Ahmed, R., Toscos PhD, T., Cornet MS, V. P., Wagner, S., Colletta, S., Daley, C., & Mirro MD, M. (2020). Technology and workflow recommendations to improve use of guideline directed medical therapy for heart failure with reduced ejection fraction. [link]
  19. Pater, J. A., Badillo–Urquiola, K., Wisniewski, P., LaLone, N., & Jacobs, M. (2020, January). GROUP4Good: Exploring Positive Impacts of GROUP Research. In Companion Proceedings of the 2020 ACM International Conference on Supporting Group Work (pp. 147–150). [link]
  20. McDaniel, B. T. (2020). Technoference: Parent mobile device use and implications for children and parent–child relationships. Zero To Three, 41(2), 30. [link]
  21. McDaniel, B. T., & Radesky, J. S. (2020). Longitudinal associations between early childhood externalizing behavior, parenting stress, and child media use. Cyberpsychology, Behavior, and Social Networking, 23(6), 384–391. [link]
  22. Leathers, C., Kroenke, K., Flanagan, M., Diaz, S., Gruber, R., Tran, G., & Driver, D. (2021). Somatic, anxiety, and depressive (SAD) symptoms in young adult Latinx immigrants: prevalence and predictors. Journal of Immigrant and Minority Health, 23(5), 956–964. [link]
  23. Fawver, J., Flanagan, M., Smith, T., Drouin, M., & Mirro, M. (2020). The association of COMT genotype with buproprion treatment response in the treatment of major depressive disorder. Brain and Behavior, 10(7), e01692. [link]
  24. Kara, A., Flanagan, M. E., Gruber, R., Lane, K. A., Bo, N., Kroenke, K., & Weiner, M. (2020). A time motion study evaluating the impact of geographic cohorting of hospitalists. Journal of hospital medicine, 15(6), 338–344. [link]
  25. Donegan, D., Gruber, R., Cottingham, A. H., Flanagan, M., Gowan, T., Erickson, D. Z., & Imperiale, T. (2020). MON–267 Need for Information Among Patients with Newly Diagnosed Pituitary Tumor: Possible Contributor to Patient Anxiety and Satisfaction. Journal of the Endocrine Society, 4(Supplement_1), MON–267. [link]
  26. Gali, H., Chiang, M., Hribar, M., Ohno–Machado, L., El–Kareh, R., Huang, A., Chen, H., Camp, A., Kikkawa, D., Korn, B., & Lee, J. (2020). Promoting quality face–to–face communication during ophthalmology encounters in the electronic health record era. Applied clinical informatics, 11(01), 130–141. [link]
  27. Miller, A. L., Lo, S. L., Albright, D., Lee, J. M., Hunter, C. M., Bauer, K. W., King, R., Clark, K.M., Chaudhury, K., Kaciroti, N., & Katz, B. (2020). Adolescent Interventions to Manage Self–Regulation in Type 1 Diabetes (AIMS–T1D): randomized control trial study protocol. BMC pediatrics, 20, 1–10. [link]
  28. Bauer, K. W., Hilliard, M. E., Albright, D., Lo, S. L., Fredericks, E. M., & Miller, A. L. (2020). The role of parent self–regulation in youth type 1 diabetes management. Current diabetes reports, 20, 1–9. [link]
  29. Albright, D., Riley, H. O., Fredericks, E., Sturza, J., Lo, S., Clark, K. M., Lee, J.M., & Miller, A. L. (2020). 54–LB: Control Yourself: Impact of Self–Regulation on Diabetes Management in Adolescents. Diabetes, 69(Supplement_1). [link]
  30. Lo, S. L., Chaudhry, K., Fredericks, E., Albright, D., Kaciroti, N., Hunter, C. M., & Miller, A. L. (2020, May). Development of a Technology mediated Intervention Targeting Emotion Regulation Skills in Adolescents with Type 1 Diabetes. In Annals of Behavioral Medicine (Vol. 54, pp. S145–S145). Oxford University Press, Inc.
  31. Albright, D., Bruni, T., & Kronenberger, W. (2020). Assessment in pediatric psychology consultation–liaison. Clinical Handbook of Psychological Consultation in Pediatric Medical Settings, 125–136. [link]
  32. Morelli, M., Chirumbolo, A., Bianchi, D., Baiocco, R., Cattelino, E., Laghi, F., Sorokowski, P. Misiak, M., Dziekan, M., Hudson, H. & Drouin, M. (2020). The role of HEXACO personality traits in different kinds of sexting: A cross–cultural study in 10 countries. Computers in human behavior, 113, 106502. [link]
  33. Cornelius, T. L., Bell, K. M., Kistler, T., & Drouin, M. (2020). Consensual sexting among college students: the interplay of coercion and intimate partner aggression in perceived consequences of sexting. International journal of environmental research and public health, 17(19), 7141. [link]
  34. Newsham, G., Drouin, M., & McDaniel, B. T. (2020). Problematic phone use, depression, and technology interference among mothers. Psychology of popular media, 9(2), 117. [link]
  35. O’Connor, K., & Drouin, M. (2020). Sexting and social concerns. The Palgrave handbook of international cybercrime and cyberdeviance, 1087–1108. [link]
  36. Bin Rafiq, R., Modave, F., Guha, S., & Albert, M. V. (2020, November). Validation methods to promote real–world applicability of machine learning in medicine. In 2020 3rd International Conference on Digital Medicine and Image Processing (pp. 13–19). [link]
  37. Haque, M. R., Weathington, K., Chudzik, J., & Guha, S. (2020, October). Understanding Law Enforcement and Common Peoples' Perspectives on Designing Explainable Crime Mapping Algorithms. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (pp. 269–273). [link]
  38. Nova, F. F., DeVito, M. A., Saha, P., Rashid, K. S., Roy Turzo, S., Afrin, S., & Guha, S. (2020, October). Understanding How Marginalized Hijra in Bangladesh Navigate Complex Social Media Ecosystem. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (pp. 353–358). [link]
  39. Saxena, D., Graeff, E., Guha, S., Cheon, E., Reynolds–Cuéllar, P., Walker, D., Becker, C., & Fleischmann, K. R. (2020, October). Collective Organizing and Social Responsibility at CSCW. In conference companion publication of the 2020 on computer supported cooperative work and social computing (pp. 503–509). [link]
  40. Muller, M., Aragon, C., Guha, S., Kogan, M., Neff, G., Seidelin, C., Shilton, K., & Tanweer, A. (2020, October). Interrogating Data Science. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (pp. 467–473). [link]
  41. Saxena, D., & Guha, S. (2020, October). Conducting participatory design to improve algorithms in public services: Lessons and challenges. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (pp. 383–388). [link]
  42. Haque, S. T., Haque, M. R., Nandy, S., Chandra, P., Al–Ameen, M. N., Guha, S., & Ahmed, S. I. (2020, June). Privacy vulnerabilities in public digital service centers in Dhaka, Bangladesh. In Proceedings of the 2020 International Conference on Information and Communication Technologies and Development (pp. 1–12). [link]
  43. Saxena, D., Skeba, P., Guha, S., & Baumer, E. P. (2020). Methods for generating typologies of non/use. Proceedings of the ACM on Human–Computer Interaction, 4(CSCW1), 1–26. [link]
  44. Saxena, D., Badillo–Urquiola, K., Wisniewski, P. J., & Guha, S. (2020, April). A human–centered review of algorithms used within the US child welfare system. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–15). [link]
  45. Kogan, M., Halfaker, A., Guha, S., Aragon, C., Muller, M., & Geiger, S. (2020, January). Mapping out human–centered data science: Methods, approaches, and best practices. In Companion Proceedings of the 2020 ACM International Conference on Supporting Group Work (pp. 151–156). [link]
  46. Saxena, D., Badillo–Urquiola, K., Wisniewski, P., & Guha, S. (2020, January). Child welfare system: Interaction of policy, practice and algorithms. In Companion Proceedings of the 2020 ACM International Conference on Supporting Group Work (pp. 119–122). [link]
  47. Hoelscher, D., van den Berg, A., Menendez, T., Jovanovic, C., Roebuck, A., Manuel, K., ... & Crowley, D. (2020, November). Advancing State–Level Policy through Needs Assessment, Relationship Building, and Rapid Response. In Obesity (Vol. 28, pp. 47–47WILEY.
  48. Hoelscher, D., Menendez, T., van den Berg, A., Roebuck, A., Scott, T., Manuel, K., & Jovanovic, C. (2020, October). Adapting a federal research–to–policy collaboration model to improve state health: The Texas rpc project. In APHA's 2020 VIRTUAL Annual Meeting and Expo (Oct. 24–28). APHA. [link]
  49. Roebuck, A., Evans, A., Menendez, T., Manuel, K., Jovanovic, C., Scott, T., Hoelscher, D. & Flores–Thorpe, S. (2020, October). Building the Texas research–to–policy collaboration network: Engaging legislators. In APHA's 2020 VIRTUAL Annual Meeting and Expo (Oct. 24–28). APHA. [link]
  50. Menendez, T., Neal, K., Atteberry, H., Ballard, B., Jovanovic, C., Roebuck, A., ... & Hoelscher, D. (2020, October). Tools for translating research to policy and practice: The Texas child health status reports and Texas legislation bill tracker. In APHA's 2020 VIRTUAL Annual Meeting and Expo (Oct. 24–28). APHA. [link]
  51. Holden, R. J., Cornet, V. P., & Valdez, R. S. (2020). Patient ergonomics: 10–year mapping review of patient–centered human factors. Applied ergonomics, 82, 102972. [link]
  52. Singh, L., Daley, C., Wagner, S., Robertson MD, R., & Mirro, M. D. (2020). Mixed method study focusing on cost effectiveness of utilizing Guideline Directed Medical Therapy using Secondary and Primary Data. [link]
  53. Cleland, J. G., Young, R., Jorbenadze, A., Shaburishvili, T., Demyanchuk, V., Buriak, R., Borys, T., Rudenko, K., Zuber, m., Stampfli, S.F., Tanner, F.C.. (2020). A first in human multi–center, open label, prospective study to evaluate safety, usability and performance of the VisONE system for heart failure with a reduced left ventricular ejection fraction. Journal of Cardiac Failure, 26(10), S64. [link]
2019
  1. Drouin, M., McDaniel, B. T., Pater, J., & Toscos, T. (2020). How parents and their children used social media and technology at the beginning of the COVID–19 pandemic and associations with anxiety. Cyberpsychology, Behavior, and Social Networking, 23(11), 727–736. [link]
  2. Toscos, T., Daley, C., Wagner, S., Coupe, A., Ahmed, R., Holden, R. J., Flanagan, m.E., Pfafman, R., Ghahari, R.R., & Mirro, M. (2020). Patient responses to daily cardiac resynchronization therapy device data: A pilot trial assessing a novel patient–centered digital dashboard in everyday life. Cardiovascular Digital Health Journal, 1(2), 97–106. [link]
  3. Holden, R. J., Daley, C. N., Mickelson, R. S., Bolchini, D., Toscos, T., Cornet, V. P., Miller, A., & Mirro, M. J. (2020). Patient decision–making personas: an application of a patient–centered cognitive task analysis (P–CTA). Applied ergonomics, 87, 103107. [link]
  4. Toscos, T., Coupe, A., Wagner, S., Ahmed, R., Roebuck, A., Flanagan, M., Drouin, M., & Mirro, M. (2020). Engaging patients in atrial fibrillation management via digital health technology: the impact of tailored messaging. The Journal of Innovations in Cardiac Rhythm Management, 11(8), 4209. [link]
  5. Cornet, V. P., Toscos, T., Bolchini, D., Ghahari, R. R., Ahmed, R., Daley, C., Mirro, M.J. & Holden, R. J. (2020). Untold stories in user–centered design of mobile health: practical challenges and strategies learned from the design and evaluation of an app for older adults with heart failure. JMIR mHealth and uHealth, 8(7), e17703. [link]
  6. Toscos, T. R., Coupe, A., Wagner, S., Drouin, M., Roebuck, A. E., Daley, C. N., ... & Mirro, M. J. (2020). Can nurses help improve self‐care of patients living with atrial fibrillation? A focus group study exploring patients' disease knowledge gaps. Nursing Open, 7(4), 998–1010. [link]
  7. Toscos, T., Drouin, M., Pater, J. A., Flanagan, M., Wagner, S., Coupe, A., Ahmed, R., & Mirro, M. J. (2020). Medication adherence for atrial fibrillation patients: triangulating measures from a smart pill bottle, e–prescribing software, and patient communication through the electronic health record. JAMIA open, 3(2), 233–242. [link]
  8. Daley, C., Ghahari, R. R., Drouin, M., Ahmed, R., Wagner, S., Reining, L., Coupe, A., Toscos, T., & Mirro, M. (2020). Involving patients as key stakeholders in the design of cardiovascular implantable electronic device data dashboards: implications for patient care. Heart Rhythm O2, 1(2), 136–146. [link]
  9. Pater, J. A., Coupe, A., Miller, A. D., Reining, L. E., Drouin, M., & Toscos, T. (2020, May). Design opportunities and challenges for app–based telemental health technologies for teens and young adults. In Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 188–200). [link]
  10. Kardys, K., Pfafman, R., Kerrigan, C., Reining, L., Drouin, M., Toscos, T., & Pater, J. (2020, May). Cyberbullying: Determining the Prevalence and Impact of Bullying and Cyberbullying as a Contributing Factor in Patients Who Have Been Admitted Into an Inpatients Facility. In Journal of the American Psychiatric Nurses Association (Vol. 26, No. 3, pp. 311–311). SAGE Publications.
  11. Robertson, R. W., Howard, K., Meisberger, E., Keltner, E., Flanagan, M., Wagner, S. R., Daley, C., toscos, T., & Mirro, M. (2020). Successful pharmacist intervention to optimize guideline directed medical therapy in heart failure patients. Journal of the American College of Cardiology, 75(11_Supplement_1), 958–958. [link]
  12. Ahmed, R., Drouin, M., Martin, E., Mirro, M., Ghahari, R. R., & Toscos, T. (2020). Perceptions on tailored educational messaging to patients with atrial fibrillation: towards increased patient engagement and medication adherence. Heart & Lung, 49(2), 216. [link]
  13. Foster, M., Albanese, C., Chen, Q., Sethares, K., Evans, S., Lehmann, L., ... & Baublet, A. (2020). Heart failure dashboard design and validation to improve care of veterans. Applied Clinical Informatics, 11(01), 153–159. [link]
  14. Flanagan, M., McDaniel, B. T., Drouin, M., Pater, J., & Toscos, T. (2020). Parents’ Feelings about School Reopening during COVID–19: Survey Results from Northeast Indiana. Parkview Mirro Center for Research and Innovation. [link]
  15. Daley, C., Bute, J. J., Toscos, T., Bolchini, D. P., Mirro, M., & Holden, R. J. (2020). The heart didn’t know enough to stop”: Insights from patient metaphors about living with cardiac implantable electronic devices. [link]
  16. Iott, B., Anthony, D., Pater, J., Wagner, S., Toscos PhD, T., & Veinot, T. (2020). Nothing New Under the Sun: How Existing Screening Programs can Inform the Design of Social Determinants of Health Screening in Health Care. [link]
  17. Iott, B, E., Wagner, S., Toscos, T., & Veinot, T. (2020). Improving Social Determinants of Health Screening Implementation Through Collaboration: Leveraging a Clinical–Academic Partnership. [link]
  18. Robertson MD, R., Ahmed, R., Toscos PhD, T., Cornet MS, V. P., Wagner, S., Colletta, S., Daley, C., & Mirro MD, M. (2020). Technology and workflow recommendations to improve use of guideline directed medical therapy for heart failure with reduced ejection fraction. [link]
  19. Pater, J. A., Badillo–Urquiola, K., Wisniewski, P., LaLone, N., & Jacobs, M. (2020, January). GROUP4Good: Exploring Positive Impacts of GROUP Research. In Companion Proceedings of the 2020 ACM International Conference on Supporting Group Work (pp. 147–150). [link]
  20. McDaniel, B. T. (2020). Technoference: Parent mobile device use and implications for children and parent–child relationships. Zero To Three, 41(2), 30. [link]
  21. McDaniel, B. T., & Radesky, J. S. (2020). Longitudinal associations between early childhood externalizing behavior, parenting stress, and child media use. Cyberpsychology, Behavior, and Social Networking, 23(6), 384–391. [link]
  22. Leathers, C., Kroenke, K., Flanagan, M., Diaz, S., Gruber, R., Tran, G., & Driver, D. (2021). Somatic, anxiety, and depressive (SAD) symptoms in young adult Latinx immigrants: prevalence and predictors. Journal of Immigrant and Minority Health, 23(5), 956–964. [link]
  23. Fawver, J., Flanagan, M., Smith, T., Drouin, M., & Mirro, M. (2020). The association of COMT genotype with buproprion treatment response in the treatment of major depressive disorder. Brain and Behavior, 10(7), e01692. [link]
  24. Kara, A., Flanagan, M. E., Gruber, R., Lane, K. A., Bo, N., Kroenke, K., & Weiner, M. (2020). A time motion study evaluating the impact of geographic cohorting of hospitalists. Journal of hospital medicine, 15(6), 338–344. [link]
  25. Donegan, D., Gruber, R., Cottingham, A. H., Flanagan, M., Gowan, T., Erickson, D. Z., & Imperiale, T. (2020). MON–267 Need for Information Among Patients with Newly Diagnosed Pituitary Tumor: Possible Contributor to Patient Anxiety and Satisfaction. Journal of the Endocrine Society, 4(Supplement_1), MON–267. [link]
  26. Gali, H., Chiang, M., Hribar, M., Ohno–Machado, L., El–Kareh, R., Huang, A., Chen, H., Camp, A., Kikkawa, D., Korn, B., & Lee, J. (2020). Promoting quality face–to–face communication during ophthalmology encounters in the electronic health record era. Applied clinical informatics, 11(01), 130–141. [link]
  27. Miller, A. L., Lo, S. L., Albright, D., Lee, J. M., Hunter, C. M., Bauer, K. W., King, R., Clark, K.M., Chaudhury, K., Kaciroti, N., & Katz, B. (2020). Adolescent Interventions to Manage Self–Regulation in Type 1 Diabetes (AIMS–T1D): randomized control trial study protocol. BMC pediatrics, 20, 1–10. [link]
  28. Bauer, K. W., Hilliard, M. E., Albright, D., Lo, S. L., Fredericks, E. M., & Miller, A. L. (2020). The role of parent self–regulation in youth type 1 diabetes management. Current diabetes reports, 20, 1–9. [link]
  29. Albright, D., Riley, H. O., Fredericks, E., Sturza, J., Lo, S., Clark, K. M., Lee, J.M., & Miller, A. L. (2020). 54–LB: Control Yourself: Impact of Self–Regulation on Diabetes Management in Adolescents. Diabetes, 69(Supplement_1). [link]
  30. Lo, S. L., Chaudhry, K., Fredericks, E., Albright, D., Kaciroti, N., Hunter, C. M., & Miller, A. L. (2020, May). Development of a Technology mediated Intervention Targeting Emotion Regulation Skills in Adolescents with Type 1 Diabetes. In Annals of Behavioral Medicine (Vol. 54, pp. S145–S145). Oxford University Press, Inc.
  31. Albright, D., Bruni, T., & Kronenberger, W. (2020). Assessment in pediatric psychology consultation–liaison. Clinical Handbook of Psychological Consultation in Pediatric Medical Settings, 125–136. [link]
  32. Morelli, M., Chirumbolo, A., Bianchi, D., Baiocco, R., Cattelino, E., Laghi, F., Sorokowski, P. Misiak, M., Dziekan, M., Hudson, H. & Drouin, M. (2020). The role of HEXACO personality traits in different kinds of sexting: A cross–cultural study in 10 countries. Computers in human behavior, 113, 106502. [link]
  33. Cornelius, T. L., Bell, K. M., Kistler, T., & Drouin, M. (2020). Consensual sexting among college students: the interplay of coercion and intimate partner aggression in perceived consequences of sexting. International journal of environmental research and public health, 17(19), 7141. [link]
  34. Newsham, G., Drouin, M., & McDaniel, B. T. (2020). Problematic phone use, depression, and technology interference among mothers. Psychology of popular media, 9(2), 117. [link]
  35. O’Connor, K., & Drouin, M. (2020). Sexting and social concerns. The Palgrave handbook of international cybercrime and cyberdeviance, 1087–1108. [link]
  36. Bin Rafiq, R., Modave, F., Guha, S., & Albert, M. V. (2020, November). Validation methods to promote real–world applicability of machine learning in medicine. In 2020 3rd International Conference on Digital Medicine and Image Processing (pp. 13–19). [link]
  37. Haque, M. R., Weathington, K., Chudzik, J., & Guha, S. (2020, October). Understanding Law Enforcement and Common Peoples' Perspectives on Designing Explainable Crime Mapping Algorithms. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (pp. 269–273). [link]
  38. Nova, F. F., DeVito, M. A., Saha, P., Rashid, K. S., Roy Turzo, S., Afrin, S., & Guha, S. (2020, October). Understanding How Marginalized Hijra in Bangladesh Navigate Complex Social Media Ecosystem. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (pp. 353–358). [link]
  39. Saxena, D., Graeff, E., Guha, S., Cheon, E., Reynolds–Cuéllar, P., Walker, D., Becker, C., & Fleischmann, K. R. (2020, October). Collective Organizing and Social Responsibility at CSCW. In conference companion publication of the 2020 on computer supported cooperative work and social computing (pp. 503–509). [link]
  40. Muller, M., Aragon, C., Guha, S., Kogan, M., Neff, G., Seidelin, C., Shilton, K., & Tanweer, A. (2020, October). Interrogating Data Science. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (pp. 467–473). [link]
  41. Saxena, D., & Guha, S. (2020, October). Conducting participatory design to improve algorithms in public services: Lessons and challenges. In Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing (pp. 383–388). [link]
  42. Haque, S. T., Haque, M. R., Nandy, S., Chandra, P., Al–Ameen, M. N., Guha, S., & Ahmed, S. I. (2020, June). Privacy vulnerabilities in public digital service centers in Dhaka, Bangladesh. In Proceedings of the 2020 International Conference on Information and Communication Technologies and Development (pp. 1–12). [link]
  43. Saxena, D., Skeba, P., Guha, S., & Baumer, E. P. (2020). Methods for generating typologies of non/use. Proceedings of the ACM on Human–Computer Interaction, 4(CSCW1), 1–26. [link]
  44. Saxena, D., Badillo–Urquiola, K., Wisniewski, P. J., & Guha, S. (2020, April). A human–centered review of algorithms used within the US child welfare system. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1–15). [link]
  45. Kogan, M., Halfaker, A., Guha, S., Aragon, C., Muller, M., & Geiger, S. (2020, January). Mapping out human–centered data science: Methods, approaches, and best practices. In Companion Proceedings of the 2020 ACM International Conference on Supporting Group Work (pp. 151–156). [link]
  46. Saxena, D., Badillo–Urquiola, K., Wisniewski, P., & Guha, S. (2020, January). Child welfare system: Interaction of policy, practice and algorithms. In Companion Proceedings of the 2020 ACM International Conference on Supporting Group Work (pp. 119–122). [link]
  47. Hoelscher, D., van den Berg, A., Menendez, T., Jovanovic, C., Roebuck, A., Manuel, K., ... & Crowley, D. (2020, November). Advancing State–Level Policy through Needs Assessment, Relationship Building, and Rapid Response. In Obesity (Vol. 28, pp. 47–47WILEY.
  48. Hoelscher, D., Menendez, T., van den Berg, A., Roebuck, A., Scott, T., Manuel, K., & Jovanovic, C. (2020, October). Adapting a federal research–to–policy collaboration model to improve state health: The Texas rpc project. In APHA's 2020 VIRTUAL Annual Meeting and Expo (Oct. 24–28). APHA. [link]
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  51. Holden, R. J., Cornet, V. P., & Valdez, R. S. (2020). Patient ergonomics: 10–year mapping review of patient–centered human factors. Applied ergonomics, 82, 102972. [link]
  52. Singh, L., Daley, C., Wagner, S., Robertson MD, R., & Mirro, M. D. (2020). Mixed method study focusing on cost effectiveness of utilizing Guideline Directed Medical Therapy using Secondary and Primary Data. [link]
  53. Cleland, J. G., Young, R., Jorbenadze, A., Shaburishvili, T., Demyanchuk, V., Buriak, R., Borys, T., Rudenko, K., Zuber, m., Stampfli, S.F., Tanner, F.C.. (2020). A first in human multi–center, open label, prospective study to evaluate safety, usability and performance of the VisONE system for heart failure with a reduced left ventricular ejection fraction. Journal of Cardiac Failure, 26(10), S64. [link]
2018
  1. Toscos, T., Carpenter, M., Drouin, M., Roebuck, A., Kerrigan, C., & Mirro, M. (2018). College students' experiences with, and willingness to use, different types of telemental health resources: do gender, depression/anxiety, or stress levels matter?. Telemedicine and e–Health, 24(12), 998–1005. [link]
  2. Drouin, M., Reining, L., Flanagan, M., Carpenter, M., & Toscos, T. (2018). College students in distress: Can social media be a source of social support?. College Student Journal, 52(4), 494–504. [link]
  3. Toscos, T., Martin, E., Ahmed, R., Rohani, R. G., Wagner, S., Holden, R. J., & Mirro, M. J. (2018, November). Co–Designing with Older Adults with CHF Towards a Novel Patient–Facing Health Monitoring Dashboard. In AMIA.
  4. Mirro, M., Daley, C., Wagner, S., Rohani Ghahari, R., Drouin, M., & Toscos, T. (2018). Delivering remote monitoring data to patients with implantable cardioverter‐defibrillators: does medium matter?. Pacing and Clinical Electrophysiology, 41(11), 1526–1535. [link]
  5. Mohammadi, I., Wu, H., Turkcan, A., Toscos, T., & Doebbeling, B. N. (2018). Data analytics and modeling for appointment no–show in community health centers. Journal of primary care & community health, 9, 2150132718811692. [link]
  6. Holden, R. J., Joshi, P., Rao, K., Varrier, A., Daley, C. N., Bolchini, D., Blackburn, J., Toscos, T., Wagner, S., Martin, E., & Mirro, M. J. (2018, September). Modeling personas for older adults with heart failure. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 62, No. 1, pp. 1072–1076). Sage CA: Los Angeles, CA: SAGE Publications. [link]
  7. Daley, C. N., Bolchini, D., Varrier, A., Rao, K., Joshi, P., Blackburn, J., ... & Holden, R. J. (2018, September). Naturalistic decision making by older adults with chronic heart failure: an exploratory study using the critical incident technique. In Proceedings of the human factors and ergonomics society annual meeting (Vol. 62, No. 1, pp. 568–572). Sage CA: Los Angeles, CA: SAGE Publications. [link]
  8. Maas, M. K., McDaniel, B. T., Feinberg, M. E., & Jones, D. E. (2018). Division of labor and multiple domains of sexual satisfaction among first–time parents. Journal of Family Issues, 39(1), 104–127. [link]
  9. Mirro, M. J., Ghahari, R. R., Ahmed, R., Reining, L., Wagner, S., Lehmann, G., Heller, J., Omlor, M., & Toscos, T. (2018). A patient–centered approach towards designing a novel CIED remote monitoring report. Journal of Cardiac Failure, 24(8), S77. [link]
  10. Howard, A., Flanagan, M., Drouin, M., Carpenter, M., Chen, E. M., Duchovic, C., & Toscos, T. (2018). Adult experts’ perceptions of telemental health for youth: A Delphi study. JAMIA open, 1(1), 67–74. [link]
  11. Ghahari, R. R., Holden, R. J., Flanagan, M. E., Wagner, S., Martin, E., Ahmed, R., Daley, C., Tambe, R., Chen, E., Allmandinger, T., Mirro, M.J., & Toscos, T. (2018). Using cardiac implantable electronic device data to facilitate health decision making: a design study. International Journal of Industrial Ergonomics, 64, 143–154. [link]
  12. Toscos, T., Carpenter, M., Flanagan, M., Kunjan, K., & Doebbeling, B. N. (2018). Identifying successful practices to overcome access to care challenges in community health centers: a “positive deviance” approach. Health services research and managerial epidemiology, 5, 2333392817743406. [link]
  13. Drouin, M., Reining, L., Flanagan, M., Carpenter, M., & Toscos, T. (2018). College students in distress: Can social media be a source of social support?. College Student Journal, 52(4), 494–504. [link]
  14. Toscos, T., Carpenter, M., Drouin, M., Roebuck, A., Howard, A., Flanagan, M., & Kerrigan, C. (2018). Using Immediate Response Technology to gather electronic health data and promote telemental health among youth. eGEMs, 6(1). [link]
  15. Maestre, J. F., Eikey, E. V., Warner, M., Yarosh, S., Pater, J., Jacobs, M., Marcu, G., & Shih, P. C. (2018, October). Conducting research with stigmatized populations: Practices, challenges, and lessons learned. In Companion of the 2018 ACM conference on computer supported cooperative work and social computing (pp. 385–392). [link]
  16. Bjorn, P., Fiesler, C., Muller, M., Pater, J., & Wisniewski, P. (2018, January). Research Ethics Town Hall Meeting. In Proceedings of the 2018 ACM International Conference on Supporting Group Work (pp. 393–396). [link]
  17. Pater, J. A., Lie–Tjauw, S., Gonzalez, M., Kim, M., Isbell, S., & Severson, D. (2018). Advancing the Agile Software Process: The case of modernizing the Army Community Service’s information technology infrastructure. [link]
  18. Pater, J. (2018). Youth Online–Where they may go, what they may be doing and how this may impact mental and behavioral health. [link]
  19. McMahan MD, D., Kerrigan, C., Toscos PhD, T., Johnson, K., Fawver MD, J., & Pater, J. (2018). Mental Health and Technology Conference: Teens and Screens. [link]
  20. McDaniel, B. T., Teti, D. M., & Feinberg, M. E. (2018). Predicting coparenting quality in daily life in mothers and fathers. Journal of Family Psychology, 32(7), 904. [link]
  21. McDaniel, B. T., & Radesky, J. S. (2018). Technoference: Longitudinal associations between parent technology use, parenting stress, and child behavior problems. Pediatric research, 84(2), 210–218. [link]
  22. McDaniel, B. T., Galovan, A. M., Cravens, J. D., & Drouin, M. (2018). “Technoference” and implications for mothers' and fathers' couple and coparenting relationship quality. Computers in human behavior, 80, 303–313. [link]
  23. Cooper, A. N., Totenhagen, C. J., McDaniel, B. T., & Curran, M. A. (2018). Volatility in daily relationship quality: The roles of attachment and gender. Journal of Social and Personal Relationships, 35(3), 348–371. [link]
  24. Galovan, A. M., Drouin, M., & McDaniel, B. T. (2018). Sexting profiles in the United States and Canada: Implications for individual and relationship well–being. Computers in Human Behavior, 79, 19–29. [link]
  25. McDaniel, B. T., & Radesky, J. S. (2018). Technoference: Parent distraction with technology and associations with child behavior problems. Child development, 89(1), 100–109. [link]
  26. Rattray, N. A., Ebright, P., Flanagan, M. E., Militello, L. G., Barach, P., Franks, Z., Rehman, S.U., Gordon, H.S., & Frankel, R. M. (2018). Content counts, but context makes the difference in developing expertise: a qualitative study of how residents learn end of shift handoffs. BMC medical education, 18(1), 1–7. [link]
  27. Savoy, A., Patel, H., Flanagan, M. E., Daggy, J. K., Russ, A. L., & Weiner, M. (2018). Comparative usability evaluation of consultation order templates in a simulated primary care environment. Applied Ergonomics, 73, 22–32. [link]
  28. Militello, L. G., Savoy, A., Porter, B., Porter, B., Flanagan, M., Wu, J., Adams, J., Rehamabn, S., Abbszadegan, H., & Weiner, M. (2018). Hidden complexities in information flow between primary and specialty care clinics. Cognition, Technology & Work, 20, 565–574. [link]
  29. Eliacin, J., Flanagan, M., Monroe–DeVita, M., Wasmuth, S., Salyers, M. P., & Rollins, A. L. (2018). Social capital and burnout among mental healthcare providers. Journal of Mental Health, 27(5), 388–394. [link]
  30. Savoy, A., Militello, L. G., Patel, H., Flanagan, M. E., Russ, A. L., Daggy, J. K., Weiner, m., & Saleem, J. J. (2018). A cognitive systems engineering design approach to improve the usability of electronic order forms for medical consultation. Journal of biomedical informatics, 85, 138–148. [link]
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  32. Miech, E. J., Rattray, N. A., Flanagan, M. E., Damschroder, L., Schmid, A. A., & Damush, T. M. (2018). Inside help: an integrative review of champions in healthcare–related implementation. SAGE open medicine, 6, 2050312118773261. [link]
  33. Flanagan, M. E., Plue, L., Miller, K. K., Schmid, A. A., Myers, L., Graham, G., Miech, E.J., Williams, L.S., & Damush, T. M. (2018). A qualitative study of clinical champions in context: clinical champions across three levels of acute care. SAGE open medicine, 6, 2050312118792426. [link]
  34. Martinez, S. C., Cano, A., Casey, R. J., Johnson, A., May, D., & Wurm, L. H. (2018). Development of the Bonding with Dog Checklist (BoDC). Human–Animal Interaction Bulletin, (2018). [link]
  35. Seivert, N. P., Cano, A., Casey, R. J., Johnson, A., & May, D. K. (2018). Animal assisted therapy for incarcerated youth: A randomized controlled trial. Applied developmental science, 22(2), 139–153. [link]
  36. Syzmanski, T., Casey, R. J., Johnson, A., Cano, A., Albright, D., & Seivert, N. P. (2018). Dog training intervention shows social–cognitive change in the journals of incarcerated youth. Frontiers in veterinary science, 302. [link]
  37. O'Connor, K., Drouin, M., Davis, J., & Thompson, H. (2018). Cyberbullying, revenge porn and the mid‐sized university: Victim characteristics, prevalence and students' knowledge of university policy and reporting procedures. Higher Education Quarterly, 72(4), 344–359. [link]
  38. Drouin, M., Jozkowski, K. N., Davis, J., & Newsham, G. (2018). How does alcohol consumption affect perceptions of one’s own and a drinking partner’s ability to consent to sexual activity?. The Journal of Sex Research. [link]
  39. Drouin, M., Hernandez, E., & Wehle, S. M. (2018). “Tell Me Lies, Tell Me Sweet Little Lies:” Sexting Deception Among Adults. Sexuality & Culture, 22(3), 865–880. [link]
  40. Dibble, J. L., Punyanunt–Carter, N. M., & Drouin, M. (2018). Maintaining relationship alternatives electronically: Positive relationship maintenance in back burner relationships. Communication Research Reports, 35(3), 200–209. [link]
  41. Drouin, M., Egan, V., Yergens, N., & Hernandez, E. (2018). “I’m 13. I’m online. U believe me?”: Implications for undercover Internet stings. Psychology, Public Policy, and Law, 24(1), 80. [link]
  42. Drouin, M., Boyd, R. L., & Greidanus Romaneli, M. (2018). Predicting recidivism among internet child sex sting offenders using psychological language analysis. Cyberpsychology, Behavior, and Social Networking, 21(2), 78–83. [link]
  43. Drouin, M., Boyd, R. L., & Greidanus Romaneli, M. (2018). Predicting recidivism among internet child sex sting offenders using psychological language analysis. Cyberpsychology, Behavior, and Social Networking, 21(2), 78–83. [link]
  44. Nova, F. F., Rifat, M. R., Saha, P., Ahmed, S. I., & Guha, S. (2018, October). Silenced voices: Understanding sexual harassment on anonymous social media among Bangladeshi people. In Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 209–212). [link]
  45. Bort, H., Guha, S., & Brylow, D. (2018, July). The impact of exploring computer science in Wisconsin: where disadvantage is an advantage. In Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education (pp. 57–62). [link]
  46. Wacharamanotham, C., Kay, M., Haroz, S., Guha, S., & Dragicevic, P. (2018, April). Special interest group on transparent statistics guidelines. In Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1–4). [link]
  47. Ghosh, A. K., Badillo–Urquiola, K., Guha, S., LaViola Jr, J. J., & Wisniewski, P. J. (2018, April). Safety vs. surveillance: what children have to say about mobile apps for parental control. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1–14). [link]
  48. Ghosh, A. K., Badillo–Urquiola, K., Guha, S., LaViola Jr, J. J., & Wisniewski, P. J. (2018, April). Safety vs. surveillance: what children have to say about mobile apps for parental control. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (pp. 1–14). [link]
  49. Hohenstein, J. C., Baumer, E. P., Reynolds, L., Murnane, E. L., O'Dell, D., Lee, S., Guha, S., & Gay, G. (2018). Supporting accurate interpretation of self–administered medical test results for mobile health: assessment of design, demographics, and health condition. JMIR Human Factors, 5(1), e8620. [link]
  50. Saxena, D., & Guha, S. (2018). Algorithmic Harms in Child Welfare: Uncertainties in Practice, Organization, and Street–level Decision–Making. ACM Journal on Responsible Computing. [link]
  51. Guha, S., Baumer, E. P., & Gay, G. K. (2018, January). Regrets, I've had a few: When regretful experiences do (and don't) compel users to leave Facebook. In Proceedings of the 2018 ACM International Conference on Supporting Group Work (pp. 166–177). [link]
  52. Mirro, M. J., Keltner, E. E., Roebuck, A. E., & Sears, S. F. (2018). Playing it close to the VEST and the clinical guidelines: Clinical guideline compliance in HFrEF patients–role of WCD. Pacing and Clinical Electrophysiology, 41(10), 1314–1320. [link]
  53. Cornet, V., & Hong, M. (2018). Computational Exploration of Gerontology–Related Topics Shared on Social Media Platform Twitter. Innovation in Aging, 2(suppl_1), 911–911. [link]
  54. Cornet, V. P., & Holden, R. J. (2018). Systematic review of smartphone–based passive sensing for health and wellbeing. Journal of biomedical informatics, 77, 120–132. [link]
  55. Cornet, V., Voida, S., & Holden, R. J. (2018). Activity theory analysis of heart failure self–care. Mind, culture, and activity, 25(1), 22–39. [link]
2017
  1. Daley, C. N., Chen, E. M., Roebuck, A. E., Ghahari, R. R., Sami, A. F., Skaggs, C. G., Carpenter, M., Mirro, M.J., & Toscos, T. R. (2017). Providing patients with implantable cardiac device data through a personal health record: a qualitative study. Applied clinical informatics, 8(04), 1106–1116. [link]
  2. Toscos, T., Wright, M. D., Flanagan, M. E., Kunjan, K., Olson–Miller, A., & Doebbeling, B. N. (2017). Tailored, theory–based strategies for engaging low income populations with a personal health record. EAI Endorsed Transactions on Pervasive Health and Technology, 3(10). [link]
  3. Roebuck, A., Carpenter, M., Daley, C., Ghahari, R. R., Wagner, S., Ahmed, R., Toscos, T., & Mirro, M. (2017). Designing Tailored Health Messaging to Enhance Patient–Centered Care in Non–Valvular Atrial Fibrillation. Journal of the American College of Cardiology, 69(11S), 2507–2507. [link]
  4. Pater, J., Owens, S., Farmer, S., Mynatt, E., & Fain, B. (2017, May). Addressing medication adherence technology needs in an aging population. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 58–67). [link]
  5. Chancellor, S., Kalantidis, Y., Pater, J. A., De Choudhury, M., & Shamma, D. A. (2017, May). Multimodal classification of moderated online pro–eating disorder content. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 3213–3226). [link]
  6. Pater, J., & Mynatt, E. (2017, February). Defining digital self–harm. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 1501–1513). [link]
  7. McDaniel, B. T., Teti, D. M., & Feinberg, M. E. (2017). Assessing coparenting relationships in daily life: The daily coparenting scale (D–Cop). Journal of Child and family Studies, 26, 2396–2411. [link]
  8. Coyne, S. M., McDaniel, B. T., & Stockdale, L. A. (2017). “Do you dare to compare?” Associations between maternal social comparisons on social networking sites and parenting, mental health, and romantic relationship outcomes. Computers in Human Behavior, 70, 335–340. [link]
  9. Leavitt, C. E., McDaniel, B. T., Maas, M. K., & Feinberg, M. E. (2017). Parenting stress and sexual satisfaction among first–time parents: A dyadic approach. Sex roles, 76(5–6), 346–355. [link]
  10. McDaniel, B. T., Drouin, M., & Cravens, J. D. (2017). Do you have anything to hide? Infidelity–related behaviors on social media sites and marital satisfaction. Computers in human behavior, 66, 88–95. [link]
  11. Rollins, A. L., Kukla, M., Salyers, M. P., McGrew, J. H., Flanagan, M. E., Leslie, D. L., Hung, M.G., & McGuire, A. B. (2017). Comparing the costs and acceptability of three fidelity assessment methods for Assertive Community Treatment. Administration and Policy in Mental Health and Mental Health Services Research, 44, 810–816. [link]
  12. Savoy, A., Patel, H., Flanagan, M. E., Weiner, M., & Russ, A. L. (2017). Systematic heuristic evaluation of computerized consultation order templates: clinicians’ and human factors engineers’ perspectives. Journal of medical systems, 41(8), 129. [link]
  13. Savoy, A., Patel, H., & Flanagan, M. E. (2017). Comparison of Two Electronic Order Forms for Medical Consultation: Think–Aloud Usability Assessment With Referring Clinicians. [link]
  14. McGuire, A. B., White, D. A., Bartholomew, T., Flanagan, M. E., McGrew, J. H., Rollins, A. L., Mueser, K.T., & Salyers, M. P. (2017). The relationship between provider competence, content exposure, and consumer outcomes in illness management and recovery programs. Administration and Policy in Mental Health and Mental Health Services Research, 44, 81–91. [link]
  15. May, D. K., Ellis, D. A., Cano, A., & Dekelbab, B. (2017). Improving diabetes–related parent–adolescent communication with individualized feedback. Journal of Pediatric Psychology, 42(10), 1114–1122. [link]
  16. Drouin, M., Coupe, M., & Temple, J. R. (2017). Is sexting good for your relationship? It depends…. Computers in Human Behavior, 75, 749–756. [link]
  17. Weisskirch, R. S., Drouin, M., & Delevi, R. (2017). Relational anxiety and sexting. The Journal of Sex Research, 54(6), 685–693. [link]
  18. Drouin, M., Boyd, R. L., Hancock, J. T., & James, A. (2017). Linguistic analysis of chat transcripts from child predator undercover sex stings. The Journal of Forensic Psychiatry & Psychology, 28(4), 437–457. [link]
  19. O'Connor, K., Drouin, M., Yergens, N., & Newsham, G. (2017). Sexting legislation in the United States and abroad: A call for uniformity. International Journal of Cyber Criminology, 11(2), 218–245. [link]
  20. Ahmed, S. I., Guha, S., Rifat, M. R., Shezan, F. H., & Dell, N. (2017). ICTD 2016| Privacy in Repair: An Analysis of the Privacy Challenges Surrounding Broken Digital Artifacts in Bangladesh. Information Technologies & International Development, 13, 14. [link]
  21. Matthews, M., Murnane, E., Snyder, J., Guha, S., Chang, P., Doherty, G., & Gay, G. (2017). The double–edged sword: A mixed methods study of the interplay between bipolar disorder and technology use. Computers in Human Behavior, 75, 288–300. [link]
  22. Baumer, E. P., Mimno, D., Guha, S., Quan, E., & Gay, G. K. (2017). Comparing grounded theory and topic modeling: Extreme divergence or unlikely convergence?. Journal of the Association for Information Science and Technology, 68(6), 1397–1410. [link]
  23. Kay, M., Haroz, S., Guha, S., Dragicevic, P., & Wacharamanotham, C. (2017, May). Moving transparent statistics forward at CHI. In Proceedings of the 2017 chi conference extended abstracts on human factors in computing systems (pp. 534–541). [link]
  24. Ahmed, S. I., Haque, M. R., Guha, S., Rifat, M. R., & Dell, N. (2017, May). Privacy, security, and surveillance in the Global South: A study of biometric mobile SIM registration in Bangladesh. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (pp. 906–918). [link]
  25. Baumer, E. P., Xu, X., Chu, C., Guha, S., & Gay, G. K. (2017, February). When subjects interpret the data: Social media non–use as a case for adapting the delphi method to cscw. In Proceedings of the 2017 acm conference on computer supported cooperative work and social computing (pp. 1527–1543). [link]
  26. Guha, S., Rifat, M. R., Shezan, F. H., & Dell, N. (2017). Privacy vulnerabilities in the practices of repairing broken digital artifacts in Bangladesh. Information Technologies and International Development. [link]
  27. Chen, Y. C., Roebuck, A. E., Sami, A., Ersin, Ö. H., & Mirro, M. J. (2017). The use of electronic personal health records to improve medication adherence and patient engagement: a randomized study of non–valvular atrial fibrillation patients. The Journal of Innovations in Cardiac Rhythm Management, 8(8), 2804. [link]
  28. Keltner, E., Roebuck, A., Yde, A., & Mirro, M. (2017). Use of Wearable Cardioverter Defibrillator Associated with Clinical Guideline Compliance in Management of Heart Failure with Reduced Ejection Fraction. Journal of the American College of Cardiology, 69(11S), 808–808. [link]
  29. Cornet, V. P., Daley, C. N., Srinivas, P., & Holden, R. J. (2017, September). User–centered evaluations with older adults: testing the usability of a mobile health system for heart failure self–management. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 61, No. 1, pp. 6–10). Sage CA: Los Angeles, CA: SAGE Publications. [link]
  30. Cornet, V. P., Hall, N. K., Cafaro, F., & Brady, E. L. (2017, May). How image–based social media websites support social movements. In Proceedings of the 2017 CHI conference extended abstracts on Human Factors in Computing Systems (pp. 2473–2479). [link]
  31. Srinivas, P., Cornet, V., & Holden, R. (2017). Human factors analysis, design, and evaluation of Engage, a consumer health IT application for geriatric heart failure self–care. International Journal of Human–Computer Interaction, 33(4), 298–312. [link]
  32. Bauer, P., Snell, J., Wheeler, T., Chinchoy, E., & Mirro, M. (2017). Animal instrumentation model of diaphragmatic stimulation effects on cardiovascular function. Journal of Cardiac Failure, 23(8), S120. [link]
2016
  1. Mohammadi, I., Hashemikhabir, S., Toscos, T., & Wu, H. (2016, October). Health Care Needs of Underserved Populations in the City of Indianapolis. In Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (pp. 512–513). [link]
  2. Toscos, T., Carpenter, M., Kunjan, M. S., Mohammadi MS, I., Miller, A., Doebbeling, M. D., Brad, N., & Wu PhD, H. (2016). Access Is Meaningful (AIM): Working with Community Health Centers to Improve Access to Care. [link]
  3. Mohammadi, I., Turkcan, A., Toscos, T., Wu, H., & Doebbeling, B. N. (2016). Predictive Modeling for Appointment No–show in Community Health Centers. Pediatrics, 1, n1onth. [link]
  4. Wright, M. D., Flanagan, M., Kunjan, K., Doebbeling, B. N., & Toscos PhD, T. (2016). Missing links: challenges in engaging the underserved with health information and communication technology. [link]
  5. Toscos, T., Daley, C., Heral, L., Doshi, R., Chen, Y. C., Eckert, G. J., Plant, R., & Mirro, M. J. (2016). Impact of electronic personal health record use on engagement and intermediate health outcomes among cardiac patients: a quasi–experimental study. Journal of the American Medical Informatics Association, 23(1), 119–128. [link]
  6. Haimson, O., Andalibi, N., & Pater, J. (2016). Ethical use of visual social media content in research publications. Research Ethics Monthly, 20. [link]
  7. Fiesler, C., Wisniewski, P., Pater, J., & Andalibi, N. (2016, November). Exploring ethics and obligations for studying digital communities. In Proceedings of the 2016 ACM International Conference on Supporting Group Work (pp. 457–460). [link]
  8. Pater, J. A., Kim, M. K., Mynatt, E. D., & Fiesler, C. (2016, November). Characterizations of online harassment: Comparing policies across social media platforms. In Proceedings of the 2016 ACM International Conference on Supporting Group Work (pp. 369–374). [link]
  9. Todd, R.L., Pater, J., and Baker, P.M.A (2016). (In)Accessible Learning in Virtual Worlds. In Gregory, S., Lee, M. J., Dalgarno, B., & Tynan, B. (Eds.). (2016). Learning in virtual worlds: Research and applications. Athabasca University Press. [link]
  10. Pater, J. A., Haimson, O. L., Andalibi, N., & Mynatt, E. D. (2016, February). “Hunger Hurts but Starving Works” Characterizing the Presentation of Eating Disorders Online. In Proceedings of the 19th ACM Conference on Computer–Supported Cooperative Work & Social Computing (pp. 1185–1200). [link]
  11. Chancellor, S., Pater, J. A., Clear, T., Gilbert, E., & De Choudhury, M. (2016, February). # thyghgapp: Instagram content moderation and lexical variation in pro–eating disorder communities. In Proceedings of the 19th ACM conference on computer–supported cooperative work & social computing (pp. 1201–1213). [link]
  12. Fiesler, C., Chancellor, S., Hoffmann, A. L., Pater, J., & Proferes, N. (2016). Challenges and Futures for Ethical Social Media Research. [link]
  13. An, J., Crandall, D. J., Fedorov, R., Fiesler, C., Giglietto, F., Heravi, B., Pater, J., Pelechrinis, K., Quercia, D., Weller, K. & Zubiaga, A. (2016). Reports of the workshops held at the 2016 International AAAI Conference on Web and Social Media. AI Magazine, 37(4), 89–93. [link]
  14. Akçabozan, N. B., McDaniel, B. T., Corkery, S. A., & Curran, M. A. (2017). Gender, sacrifices, and variability in commitment: A daily diary study of pregnant heterosexual cohabitors and their partners. Sex Roles, 77, 194–208. [link]
  15. McDaniel, B. T., & Coyne, S. M. (2016). Technology interference in the parenting of young children: Implications for mothers’ perceptions of coparenting. The Social Science Journal, 53(4), 435–443. [link]
  16. Le, Y., McDaniel, B. T., Leavitt, C. E., & Feinberg, M. E. (2016). Longitudinal associations between relationship quality and coparenting across the transition to parenthood: A dyadic perspective. Journal of Family Psychology, 30(8), 918. [link]
  17. Pempek, T. A., & McDaniel, B. T. (2016). Young children’s tablet use and associations with maternal well–being. Journal of Child and Family Studies, 25, 2636–2647. [link]
  18. McDaniel, B. T., & Coyne, S. M. (2016). Technology interference in the parenting of young children: Implications for mothers’ perceptions of coparenting. The Social Science Journal, 53(4), 435–443. [link]
  19. Militello, L., Diiulio, J., Russ, A., Savoy, A., Flanagan, M., Patel, H., Weiner, M., & Roudebush, R. L. (2016, September). Design concepts to support management of outpatient consultations in the Veterans Health Administration. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 60, No. 1, pp. 1475–1476). Sage CA: Los Angeles, CA: SAGE Publications. [link]
  20. Rollins, A. L., Kukla, M., Morse, G., Davis, L., Leiter, M., Monroe–DeVita, M., Flanagan, M.E., Russ, A., Wasmuth, S., Eliacin, J., & Collsins, L. (2016). Comparative effectiveness of a burnout reduction intervention for behavioral health providers. Psychiatric Services, 67(8), 920–923. [link]
  21. Rollins, A. L., McGrew, J. H., Kukla, M., McGuire, A. B., Flanagan, M. E., Hunt, M. G., Leslie, D.L., Collins, L.A., Wright–Berryman, J.L., Hicks, L.J., & Salyers, M. P. (2016). Comparison of assertive community treatment fidelity assessment methods: Reliability and validity. Administration and Policy in Mental Health and Mental Health Services Research, 43, 157–167. [link]
  22. Wright, M. D., Flanagan, M., Kunjan, K., Doebbeling, B. N., & Toscos PhD, T. (2016). Missing links: challenges in engaging the underserved with health information and communication technology. [link]
  23. May [Albright], D. K., Seivert, N. P., Cano, A., Casey, R. J., & Johnson, A. (2016). Animal–assisted therapy for youth: A systematic methodological critique. Human–Animal Interaction Bulletin, (2016). [link]
  24. O’Connor, K. W., Schmidt, G. B., & Drouin, M. (2016). Suspended because of social media? Students’ knowledge and opinions of university social media policies and practices. Computers in Human Behavior, 65, 619–626. [link]
  25. Drouin, M., Miller, D., Wehle, S. M., & Hernandez, E. (2016). Why do people lie online?“Because everyone lies on the internet”. Computers in Human Behavior, 64, 134–142. [link]
  26. Drouin, M., & Miller, D. A. (2016). Online erotica usage as a mediator between internet addiction and engagement in risky online sexual behaviors. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 10(3). [link]
  27. O’Connor, K. W., Schmidt, G. B., & Drouin, M. (2016). Helping workers understand and follow social media policies. Business Horizons, 59(2), 205–211. [link]
  28. Ross, J. M., Drouin, M., & Coupe, A. (2019). Sexting coercion as a component of intimate partner polyvictimization. Journal of interpersonal violence, 34(11), 2269–2291. [link]
  29. Lundy, B. L., & Drouin, M. (2016). From social anxiety to interpersonal connectedness: Relationship building within face–to–face, phone and instant messaging mediums. Computers in Human Behavior, 54, 271–277. [link]
  30. Muller, M., Shami, N. S., Guha, S., Masli, M., Geyer, W., & Wild, A. (2016, November). Influences of peers, friends, and managers on employee engagement. In Proceedings of the 2016 ACM International Conference on Supporting Group Work (pp. 131–136). [link]
  31. Muller, M., Guha, S., Baumer, E. P., Mimno, D., & Shami, N. S. (2016, November). Machine learning and grounded theory method: convergence, divergence, and combination. In Proceedings of the 2016 ACM International Conference on Supporting Group Work (pp. 3–8). [link]
  32. Muller, M., Guha, S., Baumer, E. P., Mimno, D., & Shami, N. S. (2016, November). Machine learning and grounded theory method: convergence, divergence, and combination. In Proceedings of the 2016 ACM International Conference on Supporting Group Work (pp. 3–8). [link]
  33. Guha, S., Muller, M., Shami, N. S., Masli, M., & Geyer, W. (2016). Using organizational social networks to predict employee engagement. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 10, No. 1, pp. 571–574). [link]
  34. Kay, M., Haroz, S., Guha, S., & Dragicevic, P. (2016, May). Special interest group on transparent statistics in hci. In Proceedings of the 2016 CHI conference extended abstracts on human factors in computing systems (pp. 1081–1084). [link]
  35. Murnane, E. L., Cosley, D., Chang, P., Guha, S., Frank, E., Gay, G., & Matthews, M. (2016). Self–monitoring practices, attitudes, and needs of individuals with bipolar disorder: implications for the design of technologies to manage mental health. Journal of the American Medical Informatics Association, 23(3), 477–484. [link]
2015
  1. Daley, C., Allmandinger, T., Lisa Heral, R. N. B. A., Toscos, T., Plant, R., & Mirro, M. J. (2015). Engagement of ICD patients: direct electronic messaging of remote monitoring data via a personal health record. EP Lab Digest, 15(5). [link]
  2. Mohammadi, I., Turkcan, A., Toscos, T., Miller, A., Kunjan, K., & Doebbeling, B. N. (2015). Assessing and Simulating Scheduling Processes in Community Health Centers. In AMIA.
  3. Kunjan, K., Toscos, T., Turkcan, A., & Doebbeling, B. N. (2015). A multidimensional data warehouse for community health centers. In AMIA Annual Symposium Proceedings (Vol. 2015, p. 1976). American Medical Informatics Association. [link]
  4. Pierce, M., & Toscos, T. (2015). Just one more patient: optimizing EMR documentation in ambulatory care. In AMIA Annual Symposium Proceedings (Vol. 2015, p. 1042). American Medical Informatics Association. [link]
  5. Clawson, J., Pater, J. A., Miller, A. D., Mynatt, E. D., & Mamykina, L. (2015, September). No longer wearing: investigating the abandonment of personal health–tracking technologies on craigslist. In Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing (pp. 647–658). [link]
  6. Pater, J. A., Miller, A. D., & Mynatt, E. D. (2015, April). This digital life: A neighborhood–based study of adolescents' lives online. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2305–2314). [link]
  7. Pater, J., Boston, T., DiSalvo, M., & Demmers, J. (2015, March). Exploring the Explorers Guild: A case study of a professional learning program. In Society for Information Technology & Teacher Education International Conference (pp. 2507–2510). Association for the Advancement of Computing in Education (AACE). [link]
  8. McDaniel, B. T., & Drouin, M. (2015). Sexting among married couples: Who is doing it, and are they more satisfied?. Cyberpsychology, Behavior, and Social Networking, 18(11), 628–634. [link]
  9. McDaniel, B. T., & Bruess, C. J. (2015). Technoference”: Everyday intrusions and interruptions of technology in couple and family relationships. Family communication in the age of digital and social media. [link]
  10. Teti, D. M., Philbrook, L., Shimizu, M., Reader, J., Rhee, H. Y., McDaniel, B., Crosby, B., Kim, B., & Jian, N. (2015). The social ecology of infant sleep. Handbook of infant biopsychosocial development, 359–391. [link]
  11. Curran, M. A., McDaniel, B. T., Pollitt, A. M., & Totenhagen, C. J. (2015). Gender, emotion work, and relationship quality: A daily diary study. Sex roles, 73, 157–173. [link]
  12. Teti, D. M., Crosby, B., McDaniel, B. T., Shimizu, M., & Whitesell, C. J. (2015). X. marital and emotional adjustment in mothers and infant sleep arrangements during the first six months. Monographs of the Society for Research in Child Development, 80(1), 160–176. [link]
  13. Bergman, A. A., Flanagan, M. E., Ebright, P. R., O'Brien, C. M., & Frankel, R. M. (2015). “Mr Smith's been our problem child today…”: anticipatory management communication (AMC) in VA end–of–shift medicine and nursing handoffs. BMJ Quality & Safety. [link]
  14. O'Brien, C. M., Flanagan, M. E., Bergman, A. A., Ebright, P. R., & Frankel, R. M. (2015). “Anybody on this list that you're more worried about?” Qualitative analysis exploring the functions of questions during end of shift handoffs. BMJ quality & safety. [link]
  15. Salyers, M. P., Flanagan, M. E., Firmin, R., & Rollins, A. L. (2015). Clinicians’ perceptions of how burnout affects their work. Psychiatric Services, 66(2), 204–207. [link]
  16. Rajkumar, D., Ellis, D. A., May [Albright], D. K., Carcone, A., Naar–King, S., Ondersma, S., & Moltz, K. C. (2015). Computerized intervention to increase motivation for diabetes self–management in adolescents with type 1 diabetes. Health psychology and behavioral medicine, 3(1), 236–250. [link]
  17. Drouin, M., Miller, D. A., & Dibble, J. L. (2015). Facebook or memory: Which is the real threat to your relationship?. Cyberpsychology, Behavior, and Social Networking, 18(10), 561–566. [link]
  18. Drouin, M., Stewart, J., & Van Gorder, K. (2015). Using methodological triangulation to examine the effectiveness of a mentoring program for online instructors. Distance Education, 36(3), 400–418. [link]
  19. Drouin, M., Ross, J., & Tobin, E. (2015). Sexting: A new, digital vehicle for intimate partner aggression?. Computers in human behavior, 50, 197–204. [link]
  20. Drouin, M., & Miller, D. A. (2015). Why do people record and post illegal material? Excessive social media use, psychological disorder, or both?. Computers in Human Behavior, 48, 608–614. [link]
  21. Dibble, J. L., Drouin, M., Aune, K. S., & Boller, R. R. (2015). Simmering on the back burner: Communication with and disclosure of relationship alternatives. Communication Quarterly, 63(3), 329–344. [link]
  22. Drouin, M., O’Connor, K. W., Schmidt, G. B., & Miller, D. A. (2015). Facebook fired: Legal perspectives and young adults’ opinions on the use of social media in hiring and firing decisions. Computers in Human Behavior, 46, 123–128. [link]
  23. Drouin, M., Kaiser, D., & Miller, D. A. (2015). Mobile phone dependency: What's all the buzz about?. The Wiley handbook of psychology, technology, and society, 192–206. [link]
  24. Drouin, M. (2015). Sexual communication in the digital age. The Wiley handbook of psychology, technology, and society, 176–191. [link]
  25. Guha, S., & Wicker, S. B. (2015, September). Spatial subterfuge: an experience sampling study to predict deceptive location disclosures. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1131–1135). [link]
  26. Guha, S., & Wicker, S. B. (2015, February). Do birds of a feather watch each other? homophily and social surveillance in location based social networks. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (pp. 1010–1020). [link]
  27. Muller, M., Shami, S., Geyer, W., & Davis, M. (2015). Developing data–driven theories via grounded theory method and via machine learning. Proceedings of the HCIC. Watsonville, CA: Human Computer Interaction Consortium.
  28. Baumer, E. P., Guha, S., Quan, E., Mimno, D., & Gay, G. K. (2015). Missing photos, suffering withdrawal, or finding freedom? How experiences of social media non–use influence the likelihood of reversion. Social Media+ Society, 1(2), 2056305115614851. [link]
2014
  1. Sami, A., Chen, E., Daley, C., Doshi, R., Heral, L., Toscos, T., ... & Mirro, M. (2014). Innovation in cardiac care: direct transmission of remote implantable cardioverter defibrillator data to patients through their electronic personal health records. Circulation, 130(suppl_2), A16894–A16894. [link]
  2. Wright, M. D., Toscos, T., Turkcan, A., & Doebbeling, B. N. (2014). Analysis of Patient Portal Use in Underserved Populations and Settings. In AMIA.
  3. Turkcan, A., Toscos, T., & Doebbeling, B. N. (2014). Patient–centered appointment scheduling using agent–based simulation. In AMIA Annual Symposium Proceedings (Vol. 2014, p. 1125). American Medical Informatics Association. [link]
  4. Pater, J. A., Nadji, Y., Mynatt, E. D., & Bruckman, A. S. (2014, April). Just awful enough: the functional dysfunction of the something awful forums. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 2407–2410). [link]
  5. Militello, L. G., Borders, M. R., Arbuckle, N. B., Flanagan, M. E., Hall, N. P., Saleem, J. J., & Doebbeling, B. N. (2014, September). Persuasive health educational materials for colorectal cancer screening. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 58, No. 1, pp. 609–613). Sage CA: Los Angeles, CA: SAGE Publications. [link]
  6. Danforth, R. M., Pitt, H. A., Flanagan, M. E., Brewster, B. D., Brand, E. W., & Frankel, R. M. (2014). Surgical inpatient satisfaction: what are the real drivers?. Surgery, 156(2), 328–335. [link]
  7. Militello, L. G., Arbuckle, N. B., Saleem, J. J., Patterson, E., Flanagan, M., Haggstrom, D., & Doebbeling, B. N. (2014). Sources of variation in primary care clinical workflow: implications for the design of cognitive support. Health informatics journal, 20(1), 35–49. [link]
  8. Saleem, J. J., Flanagan, M. E., Russ, A. L., McMullen, C. K., Elli, L., Russell, S. A., Bennett, J.J., Matthias, M.S., Rehman, S.U., Schwartz, M.D., & Frankel, R. M. (2014). You and me and the computer makes three: variations in exam room use of the electronic health record. Journal of the American Medical Informatics Association, 21(e1), e147–e151. [link]
  9. Drouin, M., & Driver, B. (2014). Texting, textese and literacy abilities: A naturalistic study. Journal of Research in Reading, 37(3), 250–267. [link]
  10. Drouin, M., Tobin, E., & Wygant, K. (2014). “Love the way you lie”: Sexting deception in romantic relationships. Computers in Human Behavior, 35, 542–547. [link]
  11. Drouin, M., Miller, D. A., & Dibble, J. L. (2014). Ignore your partners’ current Facebook friends; beware the ones they add!. Computers in Human Behavior, 35, 483–488. [link]
  12. Drouin, M., Vartanian, L. R., & Birk, S. (2014). A community of practice model for introducing mobile tablets to university faculty. Innovative Higher Education, 39, 231–245. [link]
  13. Dibble, J. L., & Drouin, M. (2014). Using modern technology to keep in touch with back burners: An investment model analysis. Computers in Human Behavior, 34, 96–100. [link]
  14. Drouin, M., & Tobin, E. (2014). Unwanted but consensual sexting among young adults: Relations with attachment and sexual motivations. Computers in Human Behavior, 31, 412–418. [link]
  15. Drouin, M. A. (2014). STP’s SoTL Writing Workshop: AKA How I Wrote a Paper in Two Days. Essays from E–xcellence in Teaching Volume XIII, 38. [link]
  16. Drouin, M. A. (2014). If you record it, some won’t come: Using lecture capture in introductory psychology. Teaching of psychology, 41(1), 11–19. [link]
  17. Hess, P. L., Mirro, M. J., Diener, H. C., Eikelboom, J. W., Al–Khatib, S. M., Hylek, E. M., ... & Granger, C. B. (2014). Addressing barriers to optimal oral anticoagulation use and persistence among patients with atrial fibrillation: Proceedings, Washington, DC, December 3–4, 2012. American heart journal, 168(3), 239–247. [link]
  18. Dodson, J. A., Reynolds, M. R., Bao, H., Al–Khatib, S. M., Peterson, E. D., Kremers, M. S., Mirro, M.J., Curtis, J.P., & NCDR. (2014). Developing a risk model for in–hospital adverse events following implantable cardioverter–defibrillator implantation: a report from the NCDR (National Cardiovascular Data Registry). Journal of the American College of Cardiology, 63(8), 788–796. [link]
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