Published on in Vol 6, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33734, first published .
Sociodemographic Characteristics Associated With an eHealth System Designed to Reduce Depressive Symptoms Among Patients With Breast or Prostate Cancer: Prospective Study

Sociodemographic Characteristics Associated With an eHealth System Designed to Reduce Depressive Symptoms Among Patients With Breast or Prostate Cancer: Prospective Study

Sociodemographic Characteristics Associated With an eHealth System Designed to Reduce Depressive Symptoms Among Patients With Breast or Prostate Cancer: Prospective Study

Journals

  1. Petros N, Alvarsson-Hjort J, Hadlaczky G, Wasserman D, Ottaviano M, Gonzalez-Martinez S, Carletto S, Scilingo E, Valenza G, Carli V. Predictors of the Use of a Mental Health–Focused eHealth System in Patients With Breast and Prostate Cancer: Bayesian Structural Equation Modeling Analysis of a Prospective Study. JMIR Cancer 2023;9:e49775 View
  2. Qazi S, Altaf Z, Zafar M, Tariq M, Khalid A, Kaleem A, Saad E, Qazi S. Development of depression in patients using androgen deprivation therapy: A systemic review and meta‐analysis. The Prostate 2024;84(6):525 View
  3. Raines C, Noorvash B, Posadas E, Sandler H, Freedland S, Gresham G. Applications of wearable activity monitors for prostate cancer survivors: A systematic scoping review. Contemporary Clinical Trials 2024;143:107563 View
  4. Malandrone F, Urru S, Berchialla P, Rossini P, Oliva F, Bianchi S, Ottaviano M, Gonzalez-Martinez S, Carli V, Valenza G, Scilingo E, Carletto S, Ostacoli L. Exploring the Effects of Variety and Amount of Mindfulness Practices on Depression, Anxiety, and Stress Symptoms: Longitudinal Study on a Mental Health–Focused eHealth System for Patients With Breast or Prostate Cancer. JMIR Mental Health 2024;11:e57415 View
  5. Barreda Gutiérrez M, Cantarero-Prieto D, Pascual Sáez M. Age, Technology, and the Digital Divide: Are They Directly Related to Mental Health Problems?. Healthcare 2024;12(23):2454 View
  6. Metaxa A, Liverpool S, Eisenstadt M, Pollard J, Carlsson C. Improving Mental Health and Well-Being Through the Paradym App: Quantitative Study of Real-World Data. JMIR Formative Research 2025;9:e68031 View
  7. Chyzhyk D, Arregi M, Errazquin M, Ariceta A, Sevilla M, Álvarez R, Alberich Inchausti M. Exploring Usability of a Clinical Decision Support System for Cancer Care: A User‐Centered Study. Cancer Reports 2025;8(3) View
  8. Yang S, Cha M, van Kessel R, Warrier G, Thrul J, Lee M, Yoon J, Kang D, Cho J. Understanding Inequalities in Mobile Health Utilization Across Phases: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2025;27:e71349 View
  9. Piquer-Martinez C, Gonzalez-Salgado A, Valverde-Merino M, Zarzuelo M, Gomez-Guzman M. Mobile gamification in pharmacy education: A comparative study of learning outcomes and perceptions across gender. Currents in Pharmacy Teaching and Learning 2025;17(12):102480 View
  10. Glinkowski W, Cedro T, Nowicka J, Doniec R, Michalak B, Glinkowska B, Stoyanov S. Translation and Validation of the User Version of the Mobile Application Rating Scale Into the Polish Language: Cross-Sectional Methodological Study. JMIR Formative Research 2026;10:e65067 View

Books/Policy Documents

  1. Urošević V, Vojičić N, Jovanović A, Kostić B, Gonzalez-Martinez S, Cabrera-Umpiérrez M, Ottaviano M, Cossu L, Facchinetti A, Cappon G. Digital Health Transformation, Smart Ageing, and Managing Disability. View