Published on in Vol 6, No 5 (2017): May

Development of a Web-Based Health Care Intervention for Patients With Heart Disease: Lessons Learned From a Participatory Design Study

Development of a Web-Based Health Care Intervention for Patients With Heart Disease: Lessons Learned From a Participatory Design Study

Development of a Web-Based Health Care Intervention for Patients With Heart Disease: Lessons Learned From a Participatory Design Study

Journals

  1. Mizrachi Y, Shahrabani S, Nachmani M, Hornik A. Obstacles to using online health services among adults age 50 and up and the role of family support in overcoming them. Israel Journal of Health Policy Research 2020;9(1) View
  2. Xie B, Su Z, Zhang W, Cai R. Chinese Cardiovascular Disease Mobile Apps’ Information Types, Information Quality, and Interactive Functions for Self-Management: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e195 View
  3. De Witte N, Buyck I, Van Daele T. Combining Biofeedback with Stress Management Interventions: A Systematic Review of Physiological and Psychological Effects. Applied Psychophysiology and Biofeedback 2019;44(2):71 View
  4. Weekly T, Walker N, Beck J, Akers S, Weaver M. A Review of Apps for Calming, Relaxation, and Mindfulness Interventions for Pediatric Palliative Care Patients. Children 2018;5(2):16 View
  5. Zanto T, Padgaonkar N, Nourishad A, Gazzaley A. A Tablet-Based Assessment of Rhythmic Ability. Frontiers in Psychology 2019;10 View
  6. Kizakevich P, Eckhoff R, Lewis G, Davila M, Hourani L, Watkins R, Weimer B, Wills T, Morgan J, Morgan T, Meleth S, Lewis A, Krzyzanowski M, Ramirez D, Boyce M, Litavecz S, Lane M, Strange L. Biofeedback-Assisted Resilience Training for Traumatic and Operational Stress: Preliminary Analysis of a Self-Delivered Digital Health Methodology. JMIR mHealth and uHealth 2019;7(9):e12590 View
  7. Bradway M, Gabarron E, Johansen M, Zanaboni P, Jardim P, Joakimsen R, Pape-Haugaard L, Årsand E. Methods and Measures Used to Evaluate Patient-Operated Mobile Health Interventions: Scoping Literature Review. JMIR mHealth and uHealth 2020;8(4):e16814 View
  8. Stubberud A, Omland P, Tronvik E, Olsen A, Sand T, Linde M. Wireless Surface Electromyography and Skin Temperature Sensors for Biofeedback Treatment of Headache: Validation Study with Stationary Control Equipment. JMIR Biomedical Engineering 2018;3(1):e1 View
  9. Plans D, Morelli D, Sütterlin S, Ollis L, Derbyshire G, Cropley M. Use of a Biofeedback Breathing App to Augment Poststress Physiological Recovery: Randomized Pilot Study. JMIR Formative Research 2019;3(1):e12227 View
  10. Faust-Christmann C, Taetz B, Zolynski G, Zimmermann T, Bleser G. A Biofeedback App to Instruct Abdominal Breathing (Breathing-Mentor): Pilot Experiment. JMIR mHealth and uHealth 2019;7(9):e13703 View
  11. Klösch M, Klösch C, Kundt F, van der Zee-Neuen A, Dieplinger A. eHealth systems for the optimised care of patients with type 2 diabetes. British Journal of Nursing 2020;29(5):274 View
  12. Bassi G, Gabrielli S, Donisi V, Carbone S, Forti S, Salcuni S. Assessment of Psychological Distress in Adults With Type 2 Diabetes Mellitus Through Technologies: Literature Review. Journal of Medical Internet Research 2021;23(1):e17740 View
  13. Martyushev-Poklad A, Yankevich D. Patent Landscape of Automated Systems for Personalized Health Management (ASHM): Features, Shortcomings, and Implications for Developing an Optimal ASHM. Frontiers in Digital Health 2021;3 View
  14. de Vries H, Kamphuis W, Oldenhuis H, van der Schans C, Sanderman R. Moderation of the Stressor-Strain Process in Interns by Heart Rate Variability Measured with a Wearable and Smartphone App: a Within-Subject Design Using Continuous Monitoring (Preprint). JMIR Cardio 2021 View

Books/Policy Documents

  1. Mechanick J, Zhao S. Creating a Lifestyle Medicine Center. View
  2. Castelnuovo G, Manzoni G. Reference Module in Neuroscience and Biobehavioral Psychology. View