Published on in Vol 4, No 1 (2016): Jan-Mar

Tracking Health Data Is Not Enough: A Qualitative Exploration of the Role of Healthcare Partnerships and mHealth Technology to Promote Physical Activity and to Sustain Behavior Change

Tracking Health Data Is Not Enough: A Qualitative Exploration of the Role of Healthcare Partnerships and mHealth Technology to Promote Physical Activity and to Sustain Behavior Change

Tracking Health Data Is Not Enough: A Qualitative Exploration of the Role of Healthcare Partnerships and mHealth Technology to Promote Physical Activity and to Sustain Behavior Change

Journals

  1. Anttila M, Kivistö H, Piirainen A, Kokko K, Malinen A, Pekkonen M, Sjögren T. Cardiac Rehabilitees’ Technology Experiences Before Remote Rehabilitation: Qualitative Study Using a Grounded Theory Approach. Journal of Medical Internet Research 2019;21(2):e10985 View
  2. Miyamoto S, Henderson S, Fazio S, Saconi B, Thiede E, Greenwood D, Young H. Empowering Diabetes Self-Management Through Technology and Nurse Health Coaching. The Diabetes Educator 2019;45(6):586 View
  3. Carrera A, Pifarré M, Vilaplana J, Cuadrado J, Solsona S, Mateo J, Solsona F. BPcontrol. Applied Clinical Informatics 2016;07(04):1120 View
  4. Rönkkö K. An Activity Tracker and Its Accompanying App as a Motivator for Increased Exercise and Better Sleeping Habits for Youths in Need of Social Care: Field Study. JMIR mHealth and uHealth 2018;6(12):e193 View
  5. Häikiö J, Yli-Kauhaluoma S, Pikkarainen M, Iivari M, Koivumäki T. Expectations to data: Perspectives of service providers and users of future health and wellness services. Health and Technology 2020;10(3):621 View
  6. Robertson M, Tsai E, Lyons E, Srinivasan S, Swartz M, Baum M, Basen-Engquist K. Mobile Health Physical Activity Intervention Preferences in Cancer Survivors: A Qualitative Study. JMIR mHealth and uHealth 2017;5(1):e3 View
  7. Wendrich K, van Oirschot P, Martens M, Heerings M, Jongen P, Krabbenborg L. Toward Digital Self-monitoring of Multiple Sclerosis. International Journal of MS Care 2019;21(6):282 View
  8. Biebl J, Huber S, Rykala M, Kraft E, Lorenz A. Attitudes and Expectations of Health Care Professionals Toward App-Based Therapy in Patients with Osteoarthritis of the Hip or Knee: Questionnaire Study. JMIR mHealth and uHealth 2020;8(10):e21704 View
  9. Slevin P, Kessie T, Cullen J, Butler M, Donnelly S, Caulfield B. A qualitative study of chronic obstructive pulmonary disease patient perceptions of the barriers and facilitators to adopting digital health technology. DIGITAL HEALTH 2019;5:205520761987172 View
  10. Jimenez P, Bregenzer A. Integration of eHealth Tools in the Process of Workplace Health Promotion: Proposal for Design and Implementation. Journal of Medical Internet Research 2018;20(2):e65 View
  11. Carter D, Robinson K, Forbes J, Hayes S, Zeeb H. Experiences of mobile health in promoting physical activity: A qualitative systematic review and meta-ethnography. PLOS ONE 2018;13(12):e0208759 View
  12. Olfert , Barr , Hagedorn , Long , Haggerty , Weimer , Golden , Maurer , Cochran , Hendershot , Whanger , Mason , Hodder . Feasibility of a mHealth Approach to Nutrition Counseling in an Appalachian State. Journal of Personalized Medicine 2019;9(4):50 View
  13. Opipari-Arrigan L, Dykes D, Saeed S, Thakkar S, Burns L, Chini B, McPhail G, Eslick I, Margolis P, Kaplan H. Technology-Enabled Health Care Collaboration in Pediatric Chronic Illness: Pre-Post Interventional Study for Feasibility, Acceptability, and Clinical Impact of an Electronic Health Record–Linked Platform for Patient-Clinician Partnership. JMIR mHealth and uHealth 2020;8(11):e11968 View
  14. Alpert J, Manini T, Roberts M, Kota N, Mendoza T, Solberg L, Rashidi P. Secondary care provider attitudes towards patient generated health data from smartwatches. npj Digital Medicine 2020;3(1) View
  15. Tresp V, Marc Overhage J, Bundschus M, Rabizadeh S, Fasching P, Yu S. Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare. Proceedings of the IEEE 2016;104(11):2180 View
  16. Shin G, Jarrahi M, Fei Y, Karami A, Gafinowitz N, Byun A, Lu X. Wearable activity trackers, accuracy, adoption, acceptance and health impact: A systematic literature review. Journal of Biomedical Informatics 2019;93:103153 View
  17. Kaplan H, Thakkar S, Burns L, Chini B, Dykes D, McPhail G, Moore E, Saeed S, Eslick I, Margolis P, Opipari-Arrigan L. Protocol of a Pilot Study of Technology-Enabled Coproduction in Pediatric Chronic Illness Care. JMIR Research Protocols 2017;6(4):e71 View
  18. Payton F, Yarger L, Pinter A. Text Mining Mental Health Reports for Issues Impacting Today’s College Students: Qualitative Study. JMIR Mental Health 2018;5(4):e10032 View
  19. Koch M, Lermann J, van de Roemer N, Renner S, Burghaus S, Hackl J, Dittrich R, Kehl S, Oppelt P, Hildebrandt T, Hack C, Pöhls U, Renner S, Thiel F. RETRACTED ARTICLE: Improving usability and pregnancy rates of a fertility monitor by an additional mobile application: results of a retrospective efficacy study of Daysy and DaysyView app. Reproductive Health 2018;15(1) View
  20. Lentferink A, Oldenhuis H, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen J. Key Components in eHealth Interventions Combining Self-Tracking and Persuasive eCoaching to Promote a Healthier Lifestyle: A Scoping Review. Journal of Medical Internet Research 2017;19(8):e277 View
  21. Osborn C, Hirsch A, Sears L, Heyman M, Raymond J, Huddleston B, Dachis J. One Drop App With an Activity Tracker for Adults With Type 1 Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(9):e16745 View
  22. Yingling L, Allen N, Litchman M, Colicchio V, Gibson B. An Evaluation of Digital Health Tools for Diabetes Self-Management in Hispanic Adults: Exploratory Study. JMIR Diabetes 2019;4(3):e12936 View
  23. Young H, Miyamoto S, Dharmar M, Tang-Feldman Y. Nurse Coaching and Mobile Health Compared With Usual Care to Improve Diabetes Self-Efficacy for Persons With Type 2 Diabetes: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(3):e16665 View
  24. Ng A, Reddy M, Zalta A, Schueller S. Veterans’ Perspectives on Fitbit Use in Treatment for Post-Traumatic Stress Disorder: An Interview Study. JMIR Mental Health 2018;5(2):e10415 View
  25. Young H, Nesbitt T. Increasing the Capacity of Primary Care Through Enabling Technology. Journal of General Internal Medicine 2017;32(4):398 View
  26. Fazio S, Edwards J, Miyamoto S, Henderson S, Dharmar M, Young H. More than A1C: Types of success among adults with type-2 diabetes participating in a technology-enabled nurse coaching intervention. Patient Education and Counseling 2019;102(1):106 View
  27. Swartz M, Lewis Z, Swartz M, Martinez E, Lyons E. Brief Report: Active Ingredients for Adherence to a Tracker-Based Physical Activity Intervention in Older Adults. Journal of Applied Gerontology 2019;38(7):1023 View
  28. Lin T, Bautista J, Core R. Seniors and mobiles: A qualitative inquiry of mHealth adoption among Singapore seniors. Informatics for Health and Social Care 2020;45(4):360 View
  29. Gooding H, Gidding S, Moran A, Redmond N, Allen N, Bacha F, Burns T, Catov J, Grandner M, Harris K, Johnson H, Kiernan M, Lewis T, Matthews K, Monaghan M, Robinson J, Tate D, Bibbins‐Domingo K, Spring B. Challenges and Opportunities for the Prevention and Treatment of Cardiovascular Disease Among Young Adults: Report From a National Heart, Lung, and Blood Institute Working Group. Journal of the American Heart Association 2020;9(19) View
  30. Dugas M, Wang W, Crowley K, Iyer A, Peeples M, Shomali M, Gao G. Engagement and Outcomes Associated with Contextual Annotation Features of a Digital Health Solution. Journal of Diabetes Science and Technology 2022;16(4):804 View
  31. Phillips S, Kanter J, Mueller M, Gulledge A, Ruggiero K, Johnson M, Kelechi T. Feasibility of an mHealth self-management intervention for children and adolescents with sickle cell disease and their families. Translational Behavioral Medicine 2021;11(3):724 View
  32. Kwok R, Leung A, Hui S, Wong C. Virtual trainer system: a tool to increase exercise participation and work productivity. Internet Research 2021;31(3):892 View
  33. Dahri A. SEEDING BIG DATA IN INDONESIAN CORRECTIONAL JUSTICE SYSTEM FOR INTERVENING RESTORATIVE PROGRAM: A CONCEPTUAL PAPER. JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES 2020;15(7) View
  34. Martinez R, Smith B, Etingen B, Houston T, Shimada S, Amante D, Patterson A, Richardson L, Vandenberg G, Cutrona S, Quintiliani L, Frisbee K, Hogan T. Health-Related Goal Setting and Achievement Among Veterans with High Technology Adoption. Journal of General Internal Medicine 2021;36(11):3337 View
  35. Jabour A, Rehman W, Idrees S, Thanganadar H, Hira K, Alarifi M. The Adoption of Mobile Health Applications Among University Students in Health Colleges. Journal of Multidisciplinary Healthcare 2021;Volume 14:1267 View
  36. Masterson Creber R, Turchioe M. Returning Cardiac Rhythm Data to Patients. Cardiac Electrophysiology Clinics 2021;13(3):555 View
  37. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  38. Lee W, Peng L, Lin M, Loh C, Chen L. Active wearable device utilization improved physical performance and IGF-1 among community-dwelling middle-aged and older adults: a 12-month prospective cohort study. Aging 2021;13(15):19710 View
  39. Kim S, Stanton K, Park Y, Thomas S. A Mobile App for Children With Asthma to Monitor Indoor Air Quality (AirBuddy): Development and Usability Study. JMIR Formative Research 2022;6(5):e37118 View
  40. Scarry A, Rice J, O’Connor E, Tierney A. Usage of Mobile Applications or Mobile Health Technology to Improve Diet Quality in Adults. Nutrients 2022;14(12):2437 View
  41. Domin A, Ouzzahra Y, Vögele C. Features and Components Preferred by Adolescents in Smartphone Apps for the Promotion of Physical Activity: Focus Group Study. JMIR Human Factors 2022;9(2):e33972 View
  42. Domin A, Uslu A, Schulz A, Ouzzahra Y, Vögele C. A Theory-Informed, Personalized mHealth Intervention for Adolescents (Mobile App for Physical Activity): Development and Pilot Study. JMIR Formative Research 2022;6(6):e35118 View
  43. Jung J, Cho I. Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials. JMIR mHealth and uHealth 2022;10(1):e30682 View
  44. Rohani D, Springer A, Hollis V, Bardram J, Whittaker S. Recommending Activities for Mental Health and Well-Being: Insights From Two User Studies. IEEE Transactions on Emerging Topics in Computing 2021;9(3):1183 View
  45. Hinze A, Bowen J, König J. Wearable technology for hazardous remote environments: Smart shirt and Rugged IoT network for forestry worker health. Smart Health 2022;23:100225 View
  46. Taylor L, Ranaldi H, Amirova A, Zhang L, Ahmed A, Dibb B. Using virtual representations in mHealth application interventions for health-related behaviour change: A systematic review. Cogent Psychology 2022;9(1) View
  47. Turchioe M, Mangal S, Goyal P, Axsom K, Myers A, Liu L, Lee J, Campion T, Creber R. A RE-AIM Evaluation of a Visualization-Based Electronic Patient-Reported Outcome System. Applied Clinical Informatics 2023;14(02):227 View
  48. Alshagrawi S, Abidi S. Efficacy of an mHealth Behavior Change Intervention for Promoting Physical Activity in the Workplace: Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e44108 View
  49. Coppens I, De Pessemier T, Martens L. Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders. User Modeling and User-Adapted Interaction 2024;34(1):147 View
  50. Cheng C, Lin W, Liu H, Chen Y, Chiang C, Hung K. Implementation of artificial intelligence Chatbot in peritoneal dialysis nursing care: Experience from a Taiwan medical center. Nephrology 2023;28(12):655 View
  51. Yan X, Newman M, Park S, Sander A, Choi S, Miner J, Wu Z, Carlozzi N. Identifying Design Opportunities for Adaptive mHealth Interventions That Target General Well-Being: Interview Study With Informal Care Partners. JMIR Formative Research 2023;7:e47813 View
  52. Lin S, Chuang M, Huang C, Liu C. Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model. SAGE Open 2023;13(4) View
  53. Baines R, Stevens S, Austin D, Anil K, Bradwell H, Cooper L, Maramba I, Chatterjee A, Leigh S. Patient and Public Willingness to Share Personal Health Data for Third-Party or Secondary Uses: Systematic Review. Journal of Medical Internet Research 2024;26:e50421 View
  54. Lau S, Bright L, Connor L, Baum C. Experiences With Mobile Health-Enabled Ambulatory Monitoring Among Stroke Survivors: A Qualitative Study. OTJR: Occupational Therapy Journal of Research 2024 View
  55. Brooks A, Athawale A, Rush V, Yearout A, Ford S, Rejeski W, Strahley A, Fanning J. Successes and lessons learned from a mobile health behavior intervention to reduce pain and improve health in older adults with obesity and chronic pain: a qualitative study. Frontiers in Pain Research 2024;5 View

Books/Policy Documents

  1. Pognan F. Drug-Induced Liver Toxicity. View
  2. Kaufman D, Mirkovic J, Chan C. Cognitive Informatics in Health and Biomedicine. View
  3. Kari T, Sell A, Makkonen M, Wallin S, Walden P, Carlsson C, Frank L, Carlsson J. Human Aspects of IT for the Aged Population. Healthy and Active Aging. View
  4. Partala T, Saar L, Männikkö M, Karhula M, Aschan T. Wireless Mobile Communication and Healthcare. View
  5. Yao C, Ho K. Handbook Integrated Care. View
  6. Yao C, Ho K. Handbook Integrated Care. View
  7. Carlier S, Braun M, De Paepe A, Crombez G, De Backere F, De Turck F. Pervasive Computing Technologies for Healthcare. View