Published on in Vol 17, No 3 (2015): March

Information and Communication Technology–Enabled Person-Centered Care for the “Big Five” Chronic Conditions: Scoping Review

Information and Communication Technology–Enabled Person-Centered Care for the “Big Five” Chronic Conditions: Scoping Review

Information and Communication Technology–Enabled Person-Centered Care for the “Big Five” Chronic Conditions: Scoping Review

Journals

  1. Schlomann A, Seifert A, Rietz C. Relevance of Activity Tracking With Mobile Devices in the Relationship Between Physical Activity Levels and Satisfaction With Physical Fitness in Older Adults: Representative Survey. JMIR Aging 2019;2(1):e12303 View
  2. Ryan P, Papanek P, Csuka M, Brown M, Hopkins S, Lynch S, Scheer V, Schlidt A, Yan K, Simpson P, Hoffman R. Background and method of the Striving to be Strong study a RCT testing the efficacy of a m-health self-management intervention. Contemporary Clinical Trials 2018;71:80 View
  3. Modave F, Guo Y, Bian J, Gurka M, Parish A, Smith M, Lee A, Buford T. Mobile Device Accuracy for Step Counting Across Age Groups. JMIR mHealth and uHealth 2017;5(6):e88 View
  4. Griffin L, Lee D, Jaisle A, Carek P, George T, Laber E, Lok B, Modave F, Paskett E, Krieger J. Creating an mHealth App for Colorectal Cancer Screening: User-Centered Design Approach. JMIR Human Factors 2019;6(2):e12700 View
  5. Bondaronek P, Alkhaldi G, Slee A, Hamilton F, Murray E. Quality of Publicly Available Physical Activity Apps: Review and Content Analysis. JMIR mHealth and uHealth 2018;6(3):e53 View
  6. Knols R, Vanderhenst T, Verra M, de Bruin E. Exergames for Patients in Acute Care Settings: Systematic Review of the Reporting of Methodological Quality, FITT Components, and Program Intervention Details. Games for Health Journal 2016;5(3):224 View
  7. Spanakis E, Santana S, Tsiknakis M, Marias K, Sakkalis V, Teixeira A, Janssen J, de Jong H, Tziraki C. Technology-Based Innovations to Foster Personalized Healthy Lifestyles and Well-Being: A Targeted Review. Journal of Medical Internet Research 2016;18(6):e128 View
  8. Vieira A, Silva-Filho A, Dutra-Macêdo S, Dias C, Rodrigues B, Mostarda C. Estimated intensity and acute cardiovascular response to a single exercise session guided by the fitness app Sworkit® Personal Trainer. Motriz: Revista de Educação Física 2019;25(2) View
  9. Guo Y, Bian J, Leavitt T, Vincent H, Vander Zalm L, Teurlings T, Smith M, Modave F. Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument. Journal of Medical Internet Research 2017;19(3):e67 View
  10. Akbar S, Coiera, E, Magrabi F. Safety concerns with consumer-facing mobile health applications and their consequences: a scoping review. Journal of the American Medical Informatics Association 2020;27(2):330 View
  11. Kabir M, Schulman D, Abdullah A. Promoting Relational Agent for Health Behavior Change in Low and Middle - Income Countries (LMICs): Issues and Approaches. Journal of Medical Systems 2019;43(7) View
  12. Chen J, Lieffers J, Bauman A, Hanning R, Allman-Farinelli M. Designing Health Apps to Support Dietetic Professional Practice and Their Patients: Qualitative Results From an International Survey. JMIR mHealth and uHealth 2017;5(3):e40 View
  13. Kebede M, Steenbock B, Helmer S, Sill J, Möllers T, Pischke C. Identifying Evidence-Informed Physical Activity Apps: Content Analysis. JMIR mHealth and uHealth 2018;6(12):e10314 View
  14. Rigamonti L, Albrecht U, Lutter C, Tempel M, Wolfarth B, Back D. Potentials of Digitalization in Sports Medicine. Current Sports Medicine Reports 2020;19(4):157 View
  15. Middelweerd A, te Velde S, Mollee J, Klein M, Brug J. App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content. JMIR Research Protocols 2018;7(12):e185 View
  16. Domnich A, Arata L, Amicizia D, Signori A, Patrick B, Stoyanov S, Hides L, Gasparini R, Panatto D. Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to apps targeting primary prevention. BMC Medical Informatics and Decision Making 2016;16(1) View
  17. Taber J, Dickerman B, Okhovat J, Geller A, Dwyer L, Hartman A, Perna F. Skin cancer interventions across the cancer control continuum: Review of technology, environment, and theory. Preventive Medicine 2018;111:451 View
  18. Modave F, Bian J, Rosenberg E, Mendoza T, Liang Z, Bhosale R, Maeztu C, Rodriguez C, Cardel M. DiaFit: The Development of a Smart App for Patients with Type 2 Diabetes and Obesity. JMIR Diabetes 2016;1(2):e5 View
  19. Krauskopf P. Sworkit and BitGym. The Journal for Nurse Practitioners 2017;13(1):e47 View
  20. Fiordelli M, Zanini C, Amann J, Scheel-Sailer A, Brach M, Stucki G, Rubinelli S. Selecting Evidence-Based Content for Inclusion in Self-Management Apps for Pressure Injuries in Individuals With Spinal Cord Injury: Participatory Design Study. JMIR mHealth and uHealth 2020;8(5):e15818 View
  21. Chen J, Lieffers J, Bauman A, Hanning R, Allman-Farinelli M. The use of smartphone health apps and other mobile health (mHealth) technologies in dietetic practice: a three country study. Journal of Human Nutrition and Dietetics 2017;30(4):439 View
  22. Recio-Rodriguez J, Agudo-Conde C, Martin-Cantera C, González-Viejo M, Fernandez-Alonso M, Arietaleanizbeaskoa M, Schmolling-Guinovart Y, Maderuelo-Fernandez J, Rodriguez-Sanchez E, Gomez-Marcos M, Garcia-Ortiz L. Short-Term Effectiveness of a Mobile Phone App for Increasing Physical Activity and Adherence to the Mediterranean Diet in Primary Care: A Randomized Controlled Trial (EVIDENT II Study). Journal of Medical Internet Research 2016;18(12):e331 View
  23. Martin Payo R, Fernandez Álvarez M, Blanco Díaz M, Cuesta Izquierdo M, Stoyanov S, Llaneza Suárez E. Spanish adaptation and validation of the Mobile Application Rating Scale questionnaire. International Journal of Medical Informatics 2019;129:95 View
  24. Lee A, Chavez S, Bian J, Thompson L, Gurka M, Williamson V, Modave F. Efficacy and Effectiveness of Mobile Health Technologies for Facilitating Physical Activity in Adolescents: Scoping Review. JMIR mHealth and uHealth 2019;7(2):e11847 View
  25. Salzwedel A, Rabe S, Zahn T, Neuwirth J, Eichler S, Haubold K, Wachholz A, Reibis R, Völler H. User Interest in Digital Health Technologies to Encourage Physical Activity: Results of a Survey in Students and Staff of a German University. JMIR mHealth and uHealth 2017;5(4):e51 View
  26. Arigo D, Brown M, Pasko K, Suls J. Social Comparison Features in Physical Activity Promotion Apps: Scoping Meta-Review. Journal of Medical Internet Research 2020;22(3):e15642 View
  27. Sperlich B, Hahn L, Edel A, Behr T, Helmprobst J, Leppich R, Wallmann-Sperlich B, Holmberg H. A 4-Week Intervention Involving Mobile-Based Daily 6-Minute Micro-Sessions of Functional High-Intensity Circuit Training Improves Strength and Quality of Life, but Not Cardio-Respiratory Fitness of Young Untrained Adults. Frontiers in Physiology 2018;9 View
  28. Mascarenhas M, Chan J, Vittinghoff E, Van Blarigan E, Hecht F. Increasing Physical Activity in Mothers Using Video Exercise Groups and Exercise Mobile Apps: Randomized Controlled Trial. Journal of Medical Internet Research 2018;20(5):e179 View
  29. Kennedy A, Hales S. Tools Clinicians Can Use to Help Get Patients Active. Current Sports Medicine Reports 2018;17(8):271 View
  30. Kolinsky N, Weare-Regales N, Lockey R. A Practical Approach to Assist Asthmatics to Lose Weight. The Journal of Allergy and Clinical Immunology: In Practice 2021 View
  31. Stork M, Bell E, Jung M. Examining the Impact of an mHealth App on Functional Movement and Physical Fitness: A Pilot Pragmatic Randomized Controlled Trial (Preprint). JMIR mHealth and uHealth 2020 View
  32. Chatterjee A, Gerdes M, Prinz A, Martinez S. Human Coaching Methodologies for Automatic Electronic Coaching (eCoaching) as Behavioral Interventions With Information and Communication Technology: Systematic Review. Journal of Medical Internet Research 2021;23(3):e23533 View
  33. Hayotte M, Martinent G, Nègre V, Thérouanne P, d’Arripe-Longueville F. Acceptability of technology-based physical activity intervention profiles and their motivational factors in obesity care: a latent profile transition analysis. International Journal of Obesity 2021 View