Published on in Vol 6, No 8 (2018): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10748, first published .
Veterans’ Attitudes Toward Smartphone App Use for Mental Health Care: Qualitative Study of Rurality and Age Differences

Veterans’ Attitudes Toward Smartphone App Use for Mental Health Care: Qualitative Study of Rurality and Age Differences

Veterans’ Attitudes Toward Smartphone App Use for Mental Health Care: Qualitative Study of Rurality and Age Differences

Journals

  1. Decker V, Valenti M, Montoya V, Sikorskii A, Given C, Given B. Maximizing New Technologies to Treat Depression. Issues in Mental Health Nursing 2019;40(3):200 View
  2. Gould C, Loup J, Kuhn E, Beaudreau S, Ma F, Goldstein M, Wetherell J, Zapata A, Choe P, O'Hara R. Technology use and preferences for mental health self‐management interventions among older veterans. International Journal of Geriatric Psychiatry 2020;35(3):321 View
  3. Lo B, Shi J, Hollenberg E, Abi-Jaoudé A, Johnson A, Wiljer D. Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review. JMIR Mental Health 2020;7(6):e15942 View
  4. Puddephatt J, Leightley D, Palmer L, Jones N, Mahmoodi T, Drummond C, Rona R, Fear N, Field M, Goodwin L. A Qualitative Evaluation of the Acceptability of a Tailored Smartphone Alcohol Intervention for a Military Population: Information About Drinking for Ex-Serving Personnel (InDEx) App. JMIR mHealth and uHealth 2019;7(5):e12267 View
  5. Brisbane W, Rogers M, Hsi R, Rajanahally S, Schade G, Trew L, Ostrowski K, Wessells H, Walsh T. Comparison of clinician and patient users of a mobile phone application to assess penile curvature in Peyronie’s disease. International Journal of Impotence Research 2020;32(4):401 View
  6. Connolly S, Etingen B, Shimada S, Hogan T, Nazi K, Stroupe K, Smith B. Patient portal use among veterans with depression: Associations with symptom severity and demographic characteristics. Journal of Affective Disorders 2020;275:255 View
  7. Lipschitz J, Connolly S, Miller C, Hogan T, Simon S, Burdick K. Patient interest in mental health mobile app interventions: Demographic and symptom-level differences. Journal of Affective Disorders 2020;263:216 View
  8. Yakovchenko V, Hogan T, Houston T, Richardson L, Lipschitz J, Petrakis B, Gillespie C, McInnes D. Automated Text Messaging With Patients in Department of Veterans Affairs Specialty Clinics: Cluster Randomized Trial. Journal of Medical Internet Research 2019;21(8):e14750 View
  9. Connolly S, Hogan T, Shimada S, Miller C. Leveraging Implementation Science to Understand Factors Influencing Sustained Use of Mental Health Apps: a Narrative Review. Journal of Technology in Behavioral Science 2021;6(2):184 View
  10. Saleem J, Moon B, Bross E, Anders S, Conway B, Wilck N, Frisbee K, Herout J. Understanding Veteran Attitudes, Interests, and Needs around Virtual Care Applications. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2020;64(1):731 View
  11. Borghouts J, Eikey E, Mark G, De Leon C, Schueller S, Schneider M, Stadnick N, Zheng K, Mukamel D, Sorkin D. Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24387 View
  12. Enggasser J, Livingston N, Ameral V, Brief D, Rubin A, Helmuth E, Roy M, Solhan M, Litwack S, Rosenbloom D, Keane T. Public implementation of a web-based program for veterans with risky alcohol use and PTSD: A RE-AIM evaluation of VetChange. Journal of Substance Abuse Treatment 2021;122:108242 View
  13. Wang C, Qi H. Influencing Factors of Acceptance and Use Behavior of Mobile Health Application Users: Systematic Review. Healthcare 2021;9(3):357 View
  14. Karim J, Talhouk A. Person-Generated Health Data in Women’s Health: Protocol for a Scoping Review. JMIR Research Protocols 2021;10(5):e26110 View
  15. Malte C, Dulin P, Baer J, Fortney J, Danner A, Lott A, Hawkins E. Usability and Acceptability of a Mobile App for the Self-Management of Alcohol Misuse Among Veterans (Step Away): Pilot Cohort Study. JMIR mHealth and uHealth 2021;9(4):e25927 View
  16. Riisager L, Christensen A, Scharff F, Arendt I, Ismail I, Lau M, Moeller S. Patients’ Experiences of Using a Self-help App for Posttraumatic Stress Disorder: Qualitative Study. JMIR Formative Research 2021;5(8):e26852 View
  17. Garvin L, Hu J, Slightam C, McInnes D, Zulman D. Use of Video Telehealth Tablets to Increase Access for Veterans Experiencing Homelessness. Journal of General Internal Medicine 2021;36(8):2274 View
  18. Saad A, Bruno D, Camara B, D’Agostino J, Bolea-Alamanac B. Self-directed Technology-Based Therapeutic Methods for Adult Patients Receiving Mental Health Services: Systematic Review. JMIR Mental Health 2021;8(11):e27404 View
  19. Williamson C, Dryden D, Palmer L, Rona R, Simms A, Fear N, Goodwin L, Murphy D, Leightley D. An Expert and Veteran User Assessment of the Usability of an Alcohol Reduction App for Military Veterans, Drinks: Ration: A Mixed-Methods Pilot Study. Military Behavioral Health 2023;11(1-2):14 View
  20. Hogan J, Amspoker A, Walder A, Hamer J, Lindsay J, Ecker A. Differential Impact of COVID-19 on the Use of Tele–mental Health Among Veterans Living in Urban or Rural Areas. Psychiatric Services 2022;73(12):1393 View
  21. Lin D, Nazreen T, Rutowski T, Lu Y, Harati A, Shriberg E, Chlebek P, Aratow M. Feasibility of a Machine Learning-Based Smartphone Application in Detecting Depression and Anxiety in a Generally Senior Population. Frontiers in Psychology 2022;13 View
  22. Post E, Faurot K, Kadro Z, Hill J, Nguyen C, Asher G, Gaylord S, Corbett A. Patient Perspectives on the Development of a Novel Mobile Health (mHealth) Application for Dietary Supplement Tracking and Reconciliation—A Qualitative Focus Group Study. Global Advances in Health and Medicine 2022;11:216495612210752 View
  23. Arooj I, Munir I, Yasmeen H. Physical and mental implications of mobile phone addiction. Annales Médico-psychologiques, revue psychiatrique 2022 View
  24. Jaworski B, Taylor K, Ramsey K, Heinz A, Steinmetz S, Owen J, Tsai J, Pietrzak R. Predicting Uptake of the COVID Coach App Among US Military Veterans: Funnel Analysis Using a Probability-Based Panel. JMIR Mental Health 2022;9(4):e36217 View
  25. Ding M, Wang W. Analysis of Factors Influencing We-Intention in Healthcare Applications Based on the AISAS Model. International Journal of Human–Computer Interaction 2024;40(10):2560 View
  26. Yavich R, Davidovitch N. Teachers’ Attitudes to Use of Advanced Technological Tools as Teaching and Learning Aids: From an Inter-Generational Perspective. The European Educational Researcher 2021;4(3):329 View
  27. Alshamrani K, Roll M, Malcolm M, Taylor A, Graham J. Assistive technology services for adults with disabilities in state-federal vocational rehabilitation programs. Disability and Rehabilitation: Assistive Technology 2024;19(4):1382 View
  28. Greteman B, Garcia‐Auguste C, Gryzlak B, Kahl A, Lutgendorf S, Chrischilles E, Charlton M. Rural and urban differences in perceptions, behaviors, and health care disruptions during the COVID‐19 pandemic. The Journal of Rural Health 2022;38(4):932 View
  29. Blow F, Walton M, Ilgen M, Ignacio R, Walters H, Massey L, Barry K, McCormick R, Coughlin L. Peer‐ and web‐based interventions for risky drinking among US National Guard members: Mission Strong randomized controlled trial. Addiction 2023;118(7):1246 View
  30. Heffner J, Kelly M, Reilly E, Reece S, Claudio T, Serfozo E, Baker K, Watson N, Karekla M. An Avatar-Led Web-Based and SMS Text Message Smoking Cessation Program for Socioeconomically Disadvantaged Veterans: Pilot Randomized Controlled Trial. JMIR Formative Research 2023;7:e44503 View
  31. Surani A, Bawaked A, Wheeler M, kelsey B, Roberts N, Vincent D, Das S. Security and Privacy of Digital Mental Health: An Analysis of Web Services and Mobile Apps. SSRN Electronic Journal 2023 View
  32. Brown D, Jarnecke A, Saraiya T, Santa‐Ana E, Acierno R, Reese M, Adams R, Harley W, Back S. Clinician perspectives on technology‐enhanced in vivo exposures during prolonged exposure therapy for PTSD. Journal of Clinical Psychology 2023;79(12):2947 View
  33. McCarthy M, Wicker A, Roddy J, Remiker M, Roy I, McCoy M, Cerino E, Baldwin J. Feasibility and utility of mobile health interventions for depression and anxiety in rural populations: A scoping review. Internet Interventions 2024;35:100724 View
  34. Mitchell L, Huang E. Diffusion and Disparities: Rural Uptake of Continuous Glucose Monitors. Diabetes Care 2024;47(3):344 View
  35. Farzandipour M, Sharif R, Anvari S. Effects of mhealth applications on military personnel’s physical and mental health: A systematic review. Military Psychology 2024:1 View

Books/Policy Documents

  1. Martinez-Martin N. Ethical Dimensions of Commercial and DIY Neurotechnologies. View
  2. Brady A, Rice E, Padilla A. Suicide Risk Assessment and Prevention. View
  3. Brady A, Rice E, Padilla A. Suicide Risk Assessment and Prevention. View
  4. Surani A, Bawaked A, Wheeler M, Kelsey B, Roberts N, Vincent D, Das S. Data and Applications Security and Privacy XXXVII. View