Published on in Vol 21, No 3 (2019): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11224, first published .
Health-Related Internet Usage and Design Feature Preference for E-Mental Health Programs Among Men and Women

Health-Related Internet Usage and Design Feature Preference for E-Mental Health Programs Among Men and Women

Health-Related Internet Usage and Design Feature Preference for E-Mental Health Programs Among Men and Women

Journals

  1. van Herpen M, Boeschoten M, te Brake H, van der Aa N, Olff M. Mobile Insight in Risk, Resilience, and Online Referral (MIRROR): Psychometric Evaluation of an Online Self-Help Test. Journal of Medical Internet Research 2020;22(9):e19716 View
  2. Zhu H, Chen X, Yang J, Wu Q, Zhu J, Chan S. Mobile Breast Cancer e-Support Program for Chinese Women With Breast Cancer Undergoing Chemotherapy (Part 3): Secondary Data Analysis. JMIR mHealth and uHealth 2020;8(9):e18896 View
  3. Drissi N, Ouhbi S, Janati Idrissi M, Fernandez-Luque L, Ghogho M. Connected Mental Health: Systematic Mapping Study. Journal of Medical Internet Research 2020;22(8):e19950 View
  4. Eccles H, Nannarone M, Lashewicz B, Attridge M, Marchand A, Aiken A, Ho K, Wang J. Perceived Effectiveness and Motivations for the Use of Web-Based Mental Health Programs: Qualitative Study. Journal of Medical Internet Research 2020;22(7):e16961 View
  5. Bujnowska-Fedak M, Węgierek P. The Impact of Online Health Information on Patient Health Behaviours and Making Decisions Concerning Health. International Journal of Environmental Research and Public Health 2020;17(3):880 View
  6. 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
  7. Hungerbuehler I, Daley K, Cavanagh K, Garcia Claro H, Kapps M. Chatbot-Based Assessment of Employees’ Mental Health: Design Process and Pilot Implementation. JMIR Formative Research 2021;5(4):e21678 View
  8. Čuš A, Edbrooke-Childs J, Ohmann S, Plener P, Akkaya-Kalayci T. “Smartphone Apps Are Cool, But Do They Help Me?”: A Qualitative Interview Study of Adolescents’ Perspectives on Using Smartphone Interventions to Manage Nonsuicidal Self-Injury. International Journal of Environmental Research and Public Health 2021;18(6):3289 View
  9. Moghimi E, Davis C, Rotondi M. The Efficacy of eHealth Interventions for the Treatment of Adults Diagnosed With Full or Subthreshold Binge Eating Disorder: Systematic Review and Meta-analysis. Journal of Medical Internet Research 2021;23(7):e17874 View
  10. Rantanen T, Gluschkoff K, Silvennoinen P, Heponiemi T. The Associations Between Mental Health Problems and Attitudes Toward Web-Based Health and Social Care Services: Evidence From a Finnish Population-Based Study. Journal of Medical Internet Research 2021;23(9):e28066 View
  11. Eccles H, Nannarone M, Lashewicz B, Attridge M, Marchand A, Aiken A, Ho K, Wang J. Barriers to the Use of Web-Based Mental Health Programs for Preventing Depression: Qualitative Study. JMIR Formative Research 2021;5(7):e16949 View
  12. Figueroa C, Luo T, Aguilera A, Lyles C. The need for feminist intersectionality in digital health. The Lancet Digital Health 2021;3(8):e526 View
  13. Pape M, Färber T, Seiferth C, Roth T, Schroeder S, Wolstein J, Herpertz S, Steins-Loeber S. A Tailored Gender-Sensitive mHealth Weight Loss Intervention (I-GENDO): Development and Process Evaluation. JMIR Formative Research 2022;6(10):e38480 View
  14. Drissi N, Ouhbi S, Amiri L, Al Mugaddam F, Jan R, Isomursu M. A Conceptual Framework to Design Connected Mental Health Solutions in the United Arab Emirates: Questionnaire Study. JMIR Formative Research 2022;6(2):e27675 View
  15. Hardman M, Reynolds K, Petty S, Pryor T, Pierce S, Bernstein M, Furer P. An evaluation of the quality of online perinatal depression information. BMC Pregnancy and Childbirth 2022;22(1) View
  16. Liu S, Wang X, Yang B, Luo D, Liu Y, Fang X, Ma S, Kang L, Huang H, Lu B, Zhao J, Liu Z, Liu Q. Electronic health literacy among older adults in the context of the COVID‐19 pandemic: A mixed‐methods study. Journal of Nursing Management 2022;30(6):1949 View
  17. Hudson G, Negbenose E, Neary M, Jansli S, Schueller S, Wykes T, Jilka S. Comparing Professional and Consumer Ratings of Mental Health Apps: Mixed Methods Study. JMIR Formative Research 2022;6(9):e39813 View
  18. Lau E, Mitchell M, Faulkner G. Long-term usage of a commercial mHealth app: A “multiple-lives” perspective. Frontiers in Public Health 2022;10 View
  19. Büscher R, Beisemann M, Doebler P, Micklitz H, Kerkhof A, Cuijpers P, Batterham P, Calear A, Christensen H, De Jaegere E, Domhardt M, Erlangsen A, Eylem van Bergeijk O, Hill R, Lungu A, Mühlmann C, Pettit J, Portzky G, Steubl L, van Spijker B, Tighe J, Werner-Seidler A, Wilks C, Sander L. Digital cognitive–behavioural therapy to reduce suicidal ideation and behaviours: a systematic review and meta-analysis of individual participant data. Evidence Based Mental Health 2022;25(e1):e8 View
  20. Ogrodniczuk J, Beharry J, Oliffe J. An Evaluation of 5-Year Web Analytics for HeadsUpGuys: A Men’s Depression E-Mental Health Resource. American Journal of Men's Health 2021;15(6) View
  21. Drissi N, Ouhbi S, Serhani M, Marques G, de la Torre Díez I. Connected Mental Health Solutions: Global Attitudes, Preferences, and Concerns. Telemedicine and e-Health 2023;29(3):315 View
  22. Antezana G, Venning A, Smith D, Bidargaddi N. Do young men and women differ in well-being apps usage? Findings from a randomised trial. Health Informatics Journal 2022;28(1) View
  23. Armbruster C, Knaub M, Farin-Glattacker E, von der Warth R. Predictors of Adherence to Cancer-Related mHealth Apps in Cancer Patients Undergoing Oncological or Follow-Up Treatment—A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(20):13689 View
  24. Pryor T, Reynolds K, Kirby P, Bernstein M. Quality of Late-Life Depression Information on the Internet: Website Evaluation Study. JMIR Formative Research 2022;6(9):e36177 View
  25. Ran N. Study of impacts of education, open-access medical publishing, and internet on women’s health in China. Health Care for Women International 2023;44(9):1273 View
  26. Gao L, Keller F, Becker P, Dahmen A, Lippke S. Predictors of Dropout Among Psychosomatic Rehabilitation Patients During the COVID-19 Pandemic: Secondary Analysis of a Longitudinal Study of Digital Training. Journal of Medical Internet Research 2023;25:e43584 View
  27. Opozda M, Oxlad M, Turnbull D, Gupta H, Smith J, Ziesing S, Nankivell M, Wittert G. Facilitators of, barriers to, and preferences for e-mental health interventions for depression and anxiety in men: Metasynthesis and recommendations. Journal of Affective Disorders 2024;346:75 View
  28. Midgett A, Doumas D, Hausheer R, Bond L, Buller M, Peralta C, Peck M, McCormick H. Feasibility of a Bullying Bystander Intervention (STAC) Parent Module for Rural Schools. Journal of Prevention and Health Promotion 2023;4(2):292 View
  29. Lim Y, Quek J, Ching X, Lim D, Lim K, Thuraisingham C, George P. Efficacy of a Text-Based Mental Health Coaching App in Improving the Symptoms of Stress, Anxiety, and Depression: Randomized Controlled Trial. JMIR Formative Research 2023;7:e46458 View
  30. Opozda M, Galdas P, Watkins D, Smith J. Intersecting identities, diverse masculinities, and collaborative development: Considerations in creating online mental health interventions that work for men. Comprehensive Psychiatry 2024;129:152443 View
  31. Breuer-Asher I, Ritholz M, Horwitz D, Manejwala O, Behar E, Fundoiano-Hershcovitz Y. Association of Digital Engagement With Relaxation Tools and Stress Level Reduction: Retrospective Cohort Study. JMIR Formative Research 2024;8:e50506 View
  32. Duan H, Wang L, Li H, Wang Z, Jiao S, Liu Y, Li H, Chen J, Feng Q. The influence of WeChat education and care program on anxiety, depression, insomnia, and general state of health in parents of pediatric acute lymphoblastic leukemia patients. Journal of Cancer Research and Clinical Oncology 2024;150(3) View
  33. Sochacka K, Kotowska A, Lachowicz-Wiśniewska S. The Role of Gut Microbiota, Nutrition, and Physical Activity in Depression and Obesity—Interdependent Mechanisms/Co-Occurrence. Nutrients 2024;16(7):1039 View
  34. Corrick S, Johnson E, Isley S, Vandermeer B, Dolgoy N, Bates J, Godfrey E, Soltys C, Muir C, Tegg N, Norris C, Tandon P, Dale R. Sex and gender reporting in RCTs of internet and mobile-based interventions for depression and anxiety in chronic conditions: A secondary analysis of a systematic review. PLOS Mental Health 2024;1(2):e0000048 View
  35. Boucher E, Raiker J. Engagement and retention in digital mental health interventions: a narrative review. BMC Digital Health 2024;2(1) View
  36. Yoon S, Goh H, Low X, Weng J, Heaukulani C. User perceptions and utilisation of features of an AI-enabled workplace digital mental wellness platform ‘mindline at work’. BMJ Health & Care Informatics 2024;31(1):e101045 View
  37. Kawaguchi K, Nakagomi A, Ide K, Kondo K. Effects of a Mobile App to Promote Social Participation on Older Adults: Randomized Controlled Trial. Journal of Medical Internet Research 2024;26:e64196 View
  38. Jagemann I, Stegemann M, von Brachel R, Hirschfeld G. Gender differences in preferences for mental health apps in the general population – a choice-based conjoint analysis from Germany. BMC Psychiatry 2024;24(1) View
  39. Nowels M, McDarby M, Brody L, Kleiman E, Sagui Henson S, Castro Sweet C, Kozlov E. Predictors of Engagement in Multiple Modalities of Digital Mental Health Treatments: Longitudinal Study. Journal of Medical Internet Research 2024;26:e48696 View