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Citing this Article

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Published on 20.01.16 in Vol 4, No 1 (2016): Jan-Mar

This paper is in the following e-collection/theme issue:

Works citing "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"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.4814):

(note that this is only a small subset of citations)

  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
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  3. Carrera A, Pifarré M, Vilaplana J, Cuadrado J, Solsona S, Mateo J, Solsona F. BPcontrol. Applied Clinical Informatics 2016;07(04):1120
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  4. . 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
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  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
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  6. Robertson MC, Tsai E, Lyons EJ, Srinivasan S, Swartz MC, Baum ML, Basen-Engquist KM. Mobile Health Physical Activity Intervention Preferences in Cancer Survivors: A Qualitative Study. JMIR mHealth and uHealth 2017;5(1):e3
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  7. Wendrich K, van Oirschot P, Martens MB, Heerings M, Jongen PJ, Krabbenborg L. Toward Digital Self-monitoring of Multiple Sclerosis. International Journal of MS Care 2019;21(6):282
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  8. Biebl JT, 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
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  9. Slevin P, Kessie T, Cullen J, Butler MW, Donnelly SC, 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
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  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
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  11. Carter DD, 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
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  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
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  13. Opipari-Arrigan L, Dykes DMH, Saeed SA, Thakkar S, Burns L, Chini BA, McPhail GL, Eslick I, Margolis PA, Kaplan HC. 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
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  14. Alpert JM, Manini T, Roberts M, Kota NSP, Mendoza TV, Solberg LM, Rashidi P. Secondary care provider attitudes towards patient generated health data from smartwatches. npj Digital Medicine 2020;3(1)
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  15. Tresp V, Marc Overhage J, Bundschus M, Rabizadeh S, Fasching PA, Yu S. Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare. Proceedings of the IEEE 2016;104(11):2180
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  17. Kaplan HC, Thakkar SN, Burns L, Chini B, Dykes DM, McPhail GL, Moore E, Saeed SA, Eslick I, Margolis PA, Opipari-Arrigan L. Protocol of a Pilot Study of Technology-Enabled Coproduction in Pediatric Chronic Illness Care. JMIR Research Protocols 2017;6(4):e71
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  18. Payton FC, Yarger LK, Pinter AT. Text Mining Mental Health Reports for Issues Impacting Today’s College Students: Qualitative Study. JMIR Mental Health 2018;5(4):e10032
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  19. Koch MC, Lermann J, van de Roemer N, Renner SK, Burghaus S, Hackl J, Dittrich R, Kehl S, Oppelt PG, Hildebrandt T, Hack CC, Pöhls UG, Renner SP, Thiel FC. 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)
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  20. Lentferink AJ, Oldenhuis HK, de Groot M, Polstra L, Velthuijsen H, van Gemert-Pijnen JE. 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
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  21. Osborn CY, Hirsch A, Sears LE, 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
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  22. Yingling L, Allen NA, Litchman ML, Colicchio V, Gibson BS. An Evaluation of Digital Health Tools for Diabetes Self-Management in Hispanic Adults: Exploratory Study. JMIR Diabetes 2019;4(3):e12936
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  23. Young HM, 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
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  24. Ng A, Reddy M, Zalta AK, Schueller SM. Veterans’ Perspectives on Fitbit Use in Treatment for Post-Traumatic Stress Disorder: An Interview Study. JMIR Mental Health 2018;5(2):e10415
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  25. Young HM, Nesbitt TS. Increasing the Capacity of Primary Care Through Enabling Technology. Journal of General Internal Medicine 2017;32(4):398
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  26. Fazio S, Edwards J, Miyamoto S, Henderson S, Dharmar M, Young HM. 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
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  27. Swartz MC, Lewis ZH, Swartz MD, Martinez E, Lyons EJ. Brief Report: Active Ingredients for Adherence to a Tracker-Based Physical Activity Intervention in Older Adults. Journal of Applied Gerontology 2019;38(7):1023
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  28. Lin TT, Bautista JR, Core R. Seniors and mobiles: A qualitative inquiry of mHealth adoption among Singapore seniors. Informatics for Health and Social Care 2020;45(4):360
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  29. Gooding HC, Gidding SS, Moran AE, Redmond N, Allen NB, Bacha F, Burns TL, Catov JM, Grandner MA, Harris KM, Johnson HM, Kiernan M, Lewis TT, Matthews KA, Monaghan M, Robinson JG, 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)
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  30. Dugas M, Wang W, Crowley K, Iyer AK, 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
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  31. Phillips S, Kanter J, Mueller M, Gulledge A, Ruggiero K, Johnson M, Kelechi TJ. 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
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  32. Kwok RC, Leung ACM, Hui SS, Wong CC. Virtual trainer system: a tool to increase exercise participation and work productivity. Internet Research 2021;31(3):892
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  33. . 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)
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  34. Martinez RN, Smith BM, Etingen B, Houston TK, Shimada SL, Amante DJ, Patterson A, Richardson LM, Vandenberg G, Cutrona SL, Quintiliani LM, Frisbee KL, Hogan TP. Health-Related Goal Setting and Achievement Among Veterans with High Technology Adoption. Journal of General Internal Medicine 2021;36(11):3337
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  35. Jabour AM, Rehman W, Idrees S, Thanganadar H, Hira K, Alarifi MA. The Adoption of Mobile Health Applications Among University Students in Health Colleges. Journal of Multidisciplinary Healthcare 2021;Volume 14:1267
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  36. Masterson Creber R, Turchioe MR. Returning Cardiac Rhythm Data to Patients. Cardiac Electrophysiology Clinics 2021;13(3):555
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  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
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  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
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  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
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  40. Scarry A, Rice J, O’Connor EM, Tierney AC. Usage of Mobile Applications or Mobile Health Technology to Improve Diet Quality in Adults. Nutrients 2022;14(12):2437
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  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
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  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
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  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
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  44. Rohani DA, Springer A, Hollis V, Bardram JE, 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
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  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
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  46. Taylor L, Ranaldi H, Amirova A, Zhang L, Ahmed AA, Dibb B. Using virtual representations in mHealth application interventions for health-related behaviour change: A systematic review. Cogent Psychology 2022;9(1)
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  47. Turchioe MR, Mangal S, Goyal P, Axsom K, Myers A, Liu LG, Lee J, Campion TR, Creber RM. A RE-AIM Evaluation of a Visualization-Based Electronic Patient-Reported Outcome System. Applied Clinical Informatics 2023;14(02):227
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  48. Alshagrawi S, Abidi ST. 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
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  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
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  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
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  51. Yan X, Newman MW, Park SY, Sander A, Choi SW, 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
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  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)
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  53. Baines R, Stevens S, Austin D, Anil K, Bradwell H, Cooper L, Maramba ID, 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
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  54. Lau SC, Bright L, Connor LT, Baum CM. Experiences With Mobile Health-Enabled Ambulatory Monitoring Among Stroke Survivors: A Qualitative Study. OTJR: Occupational Therapy Journal of Research 2024;
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According to Crossref, the following books are citing this article (DOI 10.2196/mhealth.4814):

  1. . Drug-Induced Liver Toxicity. 2018. Chapter 2:21
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  2. Kaufman DR, Mirkovic J, Chan C. Cognitive Informatics in Health and Biomedicine. 2017. Chapter 13:271
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  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. 2020. Chapter 23:310
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  4. Partala T, Saar L, Männikkö M, Karhula M, Aschan T. Wireless Mobile Communication and Healthcare. 2020. Chapter 22:281
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  5. Yao CA, Ho K. Handbook Integrated Care. 2017. Chapter 7:113
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  6. Yao CA, Ho K. Handbook Integrated Care. 2021. Chapter 30:507
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  7. Carlier S, Braun M, De Paepe A, Crombez G, De Backere F, De Turck F. Pervasive Computing Technologies for Healthcare. 2022. Chapter 28:452
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