Cited by 25

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“A Great Way to Start the Conversation”: Evidence for the Use of an Adolescent Mental Health Chatbot Navigator for Youth at Risk of HIV and Other STIs

Sanabria, Gabriella, Greene, Karah Y., Tran, Jennifer T., Gilyard, Shelton, DiGiovanni, Lauren, Emmanuel, Patricia J., Sanders, Lisa J., Kosyluk, Kristin, Galea, Jerome T.·2023·Journal of Technology in Behavioral Science

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Research works printed but not linked: 34

  1. Baghaei, N., Naslund, J. A., Hach, S., & Liang, H. N. (2020). Editorial: Designing technologies for youth mental health. Frontiers in Public Health, 8, 45. https://doi.org/10.3389/fpubh.2020.00045 · DOI
  2. Bertini, E., S., G., Kimani, S., Catarci, T., & Santucci, G. (2006). Appropriating and assessing heuristics for mobile computing Proceedings of the working conference on Advanced visual interfaces, Venezia, Italy. https://doi.org/10.1145/1133265.1133291 · DOI
  3. Bibault, J. E., Chaix, B., Guillemassé, A., Cousin, S., Escande, A., Perrin, M., Pienkowski, A., Delamon, G., Nectoux, P., & Brouard, B. (2019). A chatbot versus physicians to provide information for patients with breast cancer: Blind, randomized controlled noninferiority trial. J Med Internet Res, 21(11), e15787. https://doi.org/10.2196/15787 · DOI
  4. Conner, K. O., McKinnon, S. A., Roker, R., Ward, C. J., & Brown, C. (2018). Mitigating the stigma of mental illness among older adults living with depression: The benefit of contact with a peer educator. Stigma and Health, 3(2), 93. https://doi.org/10.1037/sah0000076 · DOI
  5. Ghafari, M., Nadi, T., Bahadivand-Chegini, S., & Doosti-Irani, A. (2022). Global prevalence of unmet need for mental health care among adolescents: A systematic review and meta-analysis. Archives of Psychiatric Nursing, 36, 1–6. https://doi.org/10.1016/j.apnu.2021.10.008 · DOI
  6. Hamilton, A. B., & Finley, E. P. (2019). Qualitative methods in implementation research: An introduction. Psychiatry Res, 280, 112516. https://doi.org/10.1016/j.psychres.2019.112516 · DOI
  7. Hamilton, C. M., Strader, L. C., Pratt, J. G., Maiese, D., Hendershot, T., Kwok, R. K., Hammond, J. A., Huggins, W., Jackman, D., Pan, H., Nettles, D. S., Beaty, T. H., Farrer, L. A., Kraft, P., Marazita, M. L., Ordovas, J. M., Pato, C. N., Spitz, M. R., & Wagener, D.,... & Haines, J. (2011). The PhenX Toolkit: Get the most from your measures. American Journal of Epidemiology, 174(3), 253–260. https://doi.org/10.1093/aje/kwr193 · DOI · Paper page
  8. Horvath, K. J., Oakes, J. M., Rosser, B. R., Danilenko, G., Vezina, H., Amico, K. R., Williams, M. L., & Simoni, J. (2013). Feasibility, acceptability and preliminary efficacy of an online peer-to-peer social support ART adherence intervention. AIDS and Behavior, 17(6), 2031–2044. https://doi.org/10.1007/s10461-013-0469-1 · DOI
  9. Jaspers, M. W. (2009). A comparison of usability methods for testing interactive health technologies: Methodological aspects and empirical evidence. International Journal of Medical Informatics, 78(5), 340–353. https://doi.org/10.1016/j.ijmedinf.2008.10.002 · DOI · Paper page
  10. Kang, H. S., & Exworthy, M. (2022). Wearing the future-wearables to empower users to take greater responsibility for their health and care: Scoping review. JMIR Mhealth Uhealth, 10(7), e35684. https://doi.org/10.2196/35684 · DOI
  11. Kassavou, A., Wang, M., Mirzaei, V., Shpendi, S., & Hasan, R. (2022). The association between smartphone app–based self-monitoring of hypertension-related behaviors and reductions in high blood pressure: Systematic review and meta-analysis. JMIR Mhealth Uhealth, 10(7), e34767. https://doi.org/10.2196/34767 · DOI · Paper page
  12. Kocielnik, R., Agapie, E., Argyle, A., Hsieh, D. T., Yadav, K., Taira, B., & Hsieh, G. (2019). HarborBot: A chatbot for social needs screening. American Medical Informatics Association Annual Symposium Proceedings, 2019, 552–561.
  13. Kosyluk, K., Baeder, T., Tran, J., Egan, M., & Galea, J. (2021). Using a chatbot to address psychological distress among first responders. Archives of Physical Medicine and Rehabilitation, 102(10), e82. https://doi.org/10.1016/j.apmr.2021.07.717 · DOI
  14. Kroenke, K., Spitzer, R. L., Williams, J. B., Monahan, P. O., & Löwe, B. (2007). Anxiety disorders in primary care: Prevalence, impairment, comorbidity, and detection. Annals of Internal Medicine, 146(5), 317–325. https://doi.org/10.7326/0003-4819-146-5-200703060-00004 · DOI · Paper page
  15. Kushniruk, A., Senathirajah, Y., & Borycki, E. (2017). Towards a usability and error “safety net”: A multi-phased multi-method approach to ensuring system usability and safety. In MEDINFO 2017: Precision Healthcare through Informatics (pp. 763–767). IOS Press. · DOI
  16. Loh, K. P., Liu, J., Ganzhorn, S., Sanabria, G., & Schnall, R. (2022). Establishing a usability cut-point for the health information technology usability evaluation scale (Health-ITUES). Int J Med Inform, 160, 104713. https://doi.org/10.1016/j.ijmedinf.2022.104713 · DOI
  17. Ma, L., Mazidi, M., Li, K., Li, Y., Chen, S., Kirwan, R., Zhou, H., Yan, N., Rahman, A., Wang, W., & Wang, Y. (2021). Prevalence of mental health problems among children and adolescents during the COVID-19 pandemic: A systematic review and meta-analysis. Journal of Affective Disorders, 293, 78–89. https://doi.org/10.1016/j.jad.2021.06.021 · DOI
  18. Mariamo, A., Temcheff, C. E., Léger, P. M., Senecal, S., & Lau, M. A. (2021). Emotional reactions and likelihood of response to questions designed for a mental health chatbot among adolescents: Experimental study. JMIR Hum Factors, 8(1), e24343. https://doi.org/10.2196/24343 · DOI
  19. Nielson, J., & Molich, R. (1990). Heuristic evaluator of user interfaces. SIGCHI Conference on Human Factors in Computing Systems, · DOI · Paper page
  20. Olano-Espinosa, E., Avila-Tomas, J. F., Minue-Lorenzo, C., Matilla-Pardo, B., Serrano Serrano, M. E., Martinez-Suberviola, F. J., Gil-Conesa, M., & Del Cura-González, I. (2022). Effectiveness of a conversational chatbot (Dejal@bot) for the adult population to quit smoking: Pragmatic, multicenter, controlled, randomized clinical trial in primary care. JMIR Mhealth Uhealth, 10(6), e34273. https://doi.org/10.2196/34273 · DOI
  21. Phillips, K. (2010). BrdsNBz: A text-messaging forum for improving the sexual health of adolescents in North Carolina. North Carolina Medical Journal, 71(4), 368–371. · DOI
  22. Rasberry, C. N., Lowry, R., Johns, M., Robin, L., Dunville, R., Pampati, S., Dittus, P. J., & Balaji, A. (2018). Sexual risk behavior differences among sexual minority high school students - United States, 2015 and 2017. MMWR Morb Mortal Wkly Rep, 67(36), 1007–1011. https://doi.org/10.15585/mmwr.mm6736a3 · DOI
  23. Remien, R. H., Stirratt, M. J., Nguyen, N., Robbins, R. N., Pala, A. N., & Mellins, C. A. (2019). Mental health and HIV/AIDS: The need for an integrated response. AIDS, 33(9), 1411–1420. https://doi.org/10.1097/qad.0000000000002227 · DOI · Paper page
  24. Rhoades, H., Rusow, J. A., Bond, D., Lanteigne, A., Fulginiti, A., & Goldbach, J. T. (2018). Homelessness, mental health and suicidality among LGBTQ youth accessing crisis services. Child Psychiatry and Human Development, 49(4), 643–651. https://doi.org/10.1007/s10578-018-0780-1 · DOI
  25. Sanabria, G., Scherr, T., Garofalo, R., Kuhns, L. M., Bushover, B., Nash, N., Davis, R., & Schnall, R. (2021). Usability evaluation of the mLab app for improving home HIV testing behaviors in youth at risk of HIV infection. AIDS Education and Prevention, 33(4), 312–324. https://doi.org/10.1521/aeap.2021.33.4.312 · DOI
  26. Schnall, R., Cho, H., & Liu, J. (2018). Health Information Technology Usability Evaluation Scale (Health-ITUES) for usability assessment of mobile health technology: Validation study. JMIR Mhealth Uhealth, 6(1), e4. https://doi.org/10.2196/mhealth.8851 · DOI · Paper page
  27. Schnall, R., Kuhns, L. M., Pearson, C., Batey, D. S., Bruce, J., Hidalgo, M. A., Hirshfield, S., Janulis, P., Jia, H., Radix, A., Belkind, U., Rodriguez, R. G., & Garofalo, R. (2022). Efficacy of MyPEEPS mobile, an HIV prevention intervention using mobile technology, on reducing sexual risk among same-sex attracted adolescent males: A randomized clinical trial. JAMA Network Open, 5(9), e2231853–e2231853. https://doi.org/10.1001/jamanetworkopen.2022.31853 · DOI
  28. Steinke, J., Root-Bowman, M., Estabrook, S., Levine, D. S., & Kantor, L. M. (2017). Meeting the needs of sexual and gender minority youth: Formative research on potential digital health interventions. Journal of Adolescent Health, 60(5), 541–548. https://doi.org/10.1016/j.jadohealth.2016.11.023 · DOI · Paper page
  29. Sullivan, P. S., Jones, J., Kishore, N., & Stephenson, R. (2015). The roles of technology in primary HIV prevention for men who have sex with men. Current HIV/AIDS Reports, 12(4), 481–488. https://doi.org/10.1007/s11904-015-0293-5 · DOI
  30. Venter, W., Coleman, J., Chan, V. L., Shubber, Z., Phatsoane, M., Gorgens, M., Stewart-Isherwood, L., Carmona, S., & Fraser-Hurt, N. (2018). Improving linkage to HIV care through mobile phone apps: Randomized controlled trial. JMIR Mhealth Uhealth, 6(7), e155. https://doi.org/10.2196/mhealth.8376 · DOI
  31. Willoughby, J. F. (2015). BrdsNBz: Sexually experienced teens more likely to use sexual health text message service. Health Education & Behavior, 42(6), 752–758. https://doi.org/10.1177/1090198115577377 · DOI
  32. Wilson, C., & Cariola, L. A. (2020). LGBTQI+ youth and mental health: A systematic review of qualitative research. Adolescent Research Review, 5(2), 187–211. https://doi.org/10.1007/s40894-019-00118-w · DOI
  33. Zapata, B. C., Fernández-Alemán, J. L., Idri, A., & Toval, A. (2015). Empirical studies on usability of mHealth apps: A systematic literature review. Journal of Medical Systems, 39(2), 1. https://doi.org/10.1007/s10916-014-0182-2 · DOI · Paper page
  34. Zucker, N. A., Schmitt, C., DeJonckheere, M. J., Nichols, L. P., Plegue, M. A., & Chang, T. (2019). Confidentiality in the doctor-patient relationship: Perspectives of youth ages 14–24 years. The Journal of Pediatrics, 213, 196–202. https://doi.org/10.1016/j.jpeds.2019.05.056 · DOI

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Metadata

Authors
Sanabria, G., Greene, K. Y., Tran, J. T., Gilyard, S., DiGiovanni, L., Emmanuel, P. J., Sanders, L. J., Kosyluk, K., & Galea, J. T.
Venue
Journal of Technology in Behavioral Science
Published
2023-05-11
Volume
8
Issue
4
Pages
382-391
ISSN
2366-5963
Cited by
25
References
9
Language
en
Funders
University of South Florida (Internal Grant)

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