Published on in Vol 4, No 1 (2015): Jan-Mar

A Participatory Approach to Designing and Enhancing Integrated Health Information Technology Systems for Veterans: Protocol

A Participatory Approach to Designing and Enhancing Integrated Health Information Technology Systems for Veterans: Protocol

A Participatory Approach to Designing and Enhancing Integrated Health Information Technology Systems for Veterans: Protocol

Journals

  1. Heintzman N. A Digital Ecosystem of Diabetes Data and Technology. Journal of Diabetes Science and Technology 2016;10(1):35 View
  2. Rathbone A, Clarry L, Prescott J. Assessing the Efficacy of Mobile Health Apps Using the Basic Principles of Cognitive Behavioral Therapy: Systematic Review. Journal of Medical Internet Research 2017;19(11):e399 View
  3. Messner E, Terhorst Y, Barke A, Baumeister H, Stoyanov S, Hides L, Kavanagh D, Pryss R, Sander L, Probst T. The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study. JMIR mHealth and uHealth 2020;8(3):e14479 View
  4. Schumer H, Amadi C, Joshi A. Evaluating the Dietary and Nutritional Apps in the Google Play Store. Healthcare Informatics Research 2018;24(1):38 View
  5. 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
  6. Robillard J, Feng T, Sporn A, Lai J, Lo C, Ta M, Nadler R. Availability, readability, and content of privacy policies and terms of agreements of mental health apps. Internet Interventions 2019;17:100243 View
  7. Maheu M, Nicolucci V, Pulier M, Wall K, Frye T, Hudlicka E. The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System. Journal of Technology in Behavioral Science 2016;1(1-4):3 View
  8. Segura-Garcia J, Garcia-Pineda M, Tamarit-Tronch M, Cibrian R, Salvador-Palmer R. Cost-Effective eHealth System Based on a Multi-Sensor System-on-Chip Platform and Data Fusion in Cloud for Sport Activity Monitoring. Electronics 2018;7(9):183 View
  9. Khazen W, Jeanne J, Demaretz L, Schäfer F, Fagherazzi G. Rethinking the Use of Mobile Apps for Dietary Assessment in Medical Research. Journal of Medical Internet Research 2020;22(6):e15619 View
  10. Grundy Q, Held F, Bero L. A Social Network Analysis of the Financial Links Backing Health and Fitness Apps. American Journal of Public Health 2017;107(11):1783 View
  11. Maringer M, van’t Veer P, Klepacz N, Verain M, Normann A, Ekman S, Timotijevic L, Raats M, Geelen A. User-documented food consumption data from publicly available apps: an analysis of opportunities and challenges for nutrition research. Nutrition Journal 2018;17(1) View
  12. O'Shea C, McGavigan A, Clark R, Chew D, Ganesan A. Mobile health: an emerging technology with implications for global internal medicine. Internal Medicine Journal 2017;47(6):616 View
  13. Rathbone A, Prescott J. The Use of Mobile Apps and SMS Messaging as Physical and Mental Health Interventions: Systematic Review. Journal of Medical Internet Research 2017;19(8):e295 View
  14. Hsu J, Liu D, Yu Y, Zhao H, Chen Z, Li J, Chen W. The Top Chinese Mobile Health Apps: A Systematic Investigation. Journal of Medical Internet Research 2016;18(8):e222 View
  15. Beckmann J, Lew D. Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities. Genome Medicine 2016;8(1) View
  16. Petersen C, Weeks W, Norin O, Weinstein J. Development and Implementation of a Person-Centered, Technology-Enhanced Care Model For Managing Chronic Conditions: Cohort Study. JMIR mHealth and uHealth 2019;7(3):e11082 View
  17. Neffa-Creech D, Clarke P, Evans S, Glovinsky J. “Food is something everyone should participate in”: A positive deviance approach to understanding the use of a food and nutrition app in low-income, Latino homes. SAGE Open Medicine 2020;8:205031212093484 View
  18. Bulatović N, Žarić N, Djukanović S, Radusinović I, Pejanović-Djurišić M. An Example of Human-Centric Sensor Network: Be Responsible Platform. Wireless Personal Communications 2017;92(1):237 View
  19. Fernandez-Luque L, Labarta J, Palmer E, Koledova E. Content Analysis of Apps for Growth Monitoring and Growth Hormone Treatment: Systematic Search in the Android App Store. JMIR mHealth and uHealth 2020;8(2):e16208 View
  20. Mackay B, Anderson J, Harding T. Mobile technology in clinical teaching. Nurse Education in Practice 2017;22:1 View
  21. Zhang L, Nawijn E, Boshuizen H, Ocké M. Evaluation of the Recipe Function in Popular Dietary Smartphone Applications, with Emphasize on Features Relevant for Nutrition Assessment in Large-Scale Studies. Nutrients 2019;11(1):200 View
  22. Modave F, Bian J, Leavitt T, Bromwell J, Harris III C, Vincent H. Low Quality of Free Coaching Apps With Respect to the American College of Sports Medicine Guidelines: A Review of Current Mobile Apps. JMIR mHealth and uHealth 2015;3(3):e77 View
  23. Yuan S, Chang S, Uyeno K, Almquist G, Wang S. Blood donation mobile applications: are donors ready?. Transfusion 2016;56(3):614 View
  24. Yousaf K, Mehmood Z, Awan I, Saba T, Alharbey R, Qadah T, Alrige M. A comprehensive study of mobile-health based assistive technology for the healthcare of dementia and Alzheimer’s disease (AD). Health Care Management Science 2020;23(2):287 View
  25. Beer J, Smith K, Kennedy T, Mois G, Acena D, Gallerani D, McDonnell K, Owens O. A Focus Group Evaluation of Breathe Easier: A Mindfulness-Based mHealth App for Survivors of Lung Cancer and Their Family Members. American Journal of Health Promotion 2020;34(7):770 View
  26. DeNicola N, Marko K. Connected Health and Mobile Apps in Obstetrics and Gynecology. Obstetrics and Gynecology Clinics of North America 2020;47(2):317 View
  27. Schmidt-Kraepelin M, Toussaint P, Thiebes S, Hamari J, Sunyaev A. Archetypes of Gamification: Analysis of mHealth Apps. JMIR mHealth and uHealth 2020;8(10):e19280 View
  28. Vaghefi I, Tulu B. The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study. JMIR mHealth and uHealth 2019;7(8):e12983 View
  29. 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
  30. Grundy Q, Wang Z, Bero L. Challenges in Assessing Mobile Health App Quality. American Journal of Preventive Medicine 2016;51(6):1051 View
  31. Billings D, Kowalski K, Billings D. There’s an “App” for That: Tips for Preparing Nurses for Roles in Mobile Health. The Journal of Continuing Education in Nursing 2015;46(9):390 View
  32. 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
  33. Mendiola M, Kalnicki M, Lindenauer S. Valuable Features in Mobile Health Apps for Patients and Consumers: Content Analysis of Apps and User Ratings. JMIR mHealth and uHealth 2015;3(2):e40 View
  34. Terhorst Y, Rathner E, Baumeister H, Sander L. «Hilfe aus dem App-Store?»: Eine systematische Übersichtsarbeit und Evaluation von Apps zur Anwendung bei Depressionen. Verhaltenstherapie 2018;28(2):101 View
  35. Jacobs M, Graham A. Iterative development and evaluation methods of mHealth behavior change interventions. Current Opinion in Psychology 2016;9:33 View
  36. Sezgin E, Özkan-Yildirim S, Yildirim S. Investigation of physicians' awareness and use of mHealth apps: A mixed method study. Health Policy and Technology 2017;6(3):251 View
  37. Zhu E, Lilienthal A, Shluzas L, Masiello I, Zary N. Design of Mobile Augmented Reality in Health Care Education: A Theory-Driven Framework. JMIR Medical Education 2015;1(2):e10 View
  38. Sigler B. Investigating the Perceptions of Care Coordinators on Using Behavior Theory-Based Mobile Health Technology With Medicaid Populations: A Grounded Theory Study. JMIR mHealth and uHealth 2017;5(3):e36 View
  39. Berauk V, Murugiah M, Soh Y, Sheng Y, Wong T, Ming L. Mobile Health Applications for Caring of Older People: Review and Comparison. Therapeutic Innovation & Regulatory Science 2018;52(3):374 View
  40. Bardus M, van Beurden S, Smith J, Abraham C. A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1) View
  41. Díaz J, Codern-Bové N, Zomeño M, Lassale C, Schröder H, Grau M. Quantitative and qualitative evaluation of the COMPASS mobile app: a citizen science project. Informatics for Health and Social Care 2021:1 View
  42. Workman A, Jones P, Wheeler A, Campbell S, Williamson G, Lucani C, Bowman D, Cooling N, Johnston F. Environmental Hazards and Behavior Change: User Perspectives on the Usability and Effectiveness of the AirRater Smartphone App. International Journal of Environmental Research and Public Health 2021;18(7):3591 View
  43. Shinozaki N, Murakami K. Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan. Nutrients 2020;12(11):3327 View
  44. Antonenko K, Paciaroni M, Sokolova L, Pezzella F. Digital health in stroke medicine: what are the opportunities for stroke patients?. Current Opinion in Neurology 2021;34(1):27 View
  45. Gimpel H, Manner-Romberg T, Schmied F, Winkler T. Understanding the evaluation of mHealth app features based on a cross-country Kano analysis. Electronic Markets 2021 View
  46. Tomasella F, Morgan H. “Sometimes I don’t have a pulse … and I’m still alive!” Interviews with healthcare professionals to explore their experiences of and views on population-based digital health technologies. DIGITAL HEALTH 2021;7:205520762110183 View

Books/Policy Documents

  1. Hussain J, Lee S. Enhanced Quality of Life and Smart Living. View
  2. Eren P, Gökalp E. Current and Emerging mHealth Technologies. View
  3. Nguyen H, Poo D. Social Computing and Social Media. Applications and Analytics. View
  4. Bregenzer A, Jiménez P. Handbuch Digitale Wirtschaft. View
  5. Pan A, Zhao F. Human-Computer Interaction. Interaction in Context. View
  6. O’ Connor Y, O’ Connor S, Heavin C, Gallagher J, O’ Donoghue J. Applied Computing in Medicine and Health. View
  7. Sezgin E, Yildirim S, Yildirim S. Current and Emerging mHealth Technologies. View
  8. Bregenzer A, Jiménez P. Handbuch Medizinökonomie I. View