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Published on 19.08.15 in Vol 17, No 8 (2015): August

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

Works citing "“You Get Reminded You’re a Sick Person”: Personal Data Tracking and Patients With Multiple Chronic Conditions"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4209):

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

  1. Torous J, Wisniewski H, Bird B, Carpenter E, David G, Elejalde E, Fulford D, Guimond S, Hays R, Henson P, Hoffman L, Lim C, Menon M, Noel V, Pearson J, Peterson R, Susheela A, Troy H, Vaidyam A, Weizenbaum E, Naslund JA, Keshavan M. Creating a Digital Health Smartphone App and Digital Phenotyping Platform for Mental Health and Diverse Healthcare Needs: an Interdisciplinary and Collaborative Approach. Journal of Technology in Behavioral Science 2019;4(2):73
    CrossRef
  2. Weiner K, Will C, Henwood F, Williams R. Everyday curation? Attending to data, records and record keeping in the practices of self-monitoring. Big Data & Society 2020;7(1):205395172091827
    CrossRef
  3. Holmen H, Wahl AK, Cvancarova Småstuen M, Ribu L. Tailored Communication Within Mobile Apps for Diabetes Self-Management: A Systematic Review. Journal of Medical Internet Research 2017;19(6):e227
    CrossRef
  4. McKinney P, Cox AM, Sbaffi L. Information Literacy in Food and Activity Tracking Among Parkrunners, People With Type 2 Diabetes, and People With Irritable Bowel Syndrome: Exploratory Study. Journal of Medical Internet Research 2019;21(8):e13652
    CrossRef
  5. Riggare S, Scott Duncan T, Hvitfeldt H, Hägglund M. “You have to know why you're doing this”: a mixed methods study of the benefits and burdens of self-tracking in Parkinson's disease. BMC Medical Informatics and Decision Making 2019;19(1)
    CrossRef
  6. West P, Van Kleek M, Giordano R, Weal M, Shadbolt N. Information Quality Challenges of Patient-Generated Data in Clinical Practice. Frontiers in Public Health 2017;5
    CrossRef
  7. Gorman RK, Wellbeloved-Stone CA, Valdez RS. Uncovering the invisible patient work system through a case study of breast cancer self-management. Ergonomics 2018;61(12):1575
    CrossRef
  8. Almalki M, Gray K, Martin-Sanchez FJ. Refining the Concepts of Self-quantification Needed for Health Self-management. Methods of Information in Medicine 2017;56(01):46
    CrossRef
  9. Mirkovic J, Jessen S, Kristjansdottir OB, Krogseth T, Koricho AT, Ruland CM. Developing Technology to Mobilize Personal Strengths in People with Chronic Illness: Positive Codesign Approach. JMIR Formative Research 2018;2(1):e10774
    CrossRef
  10. Lomborg S, Langstrup H, Andersen TO. Interpretation as luxury: Heart patients living with data doubt, hope, and anxiety. Big Data & Society 2020;7(1):205395172092443
    CrossRef
  11. Torous J, Nicholas J, Larsen ME, Firth J, Christensen H. Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements. Evidence Based Mental Health 2018;21(3):116
    CrossRef
  12. Elaine Southard M, Bark L, Erickson M, Monsen KA. Feasibility of using the Omaha System to represent Nurse Coaching practice. Kontakt 2017;19(1):e4
    CrossRef
  13. Pedersen SS, Schmidt T, Skovbakke SJ, Wiil UK, Egstrup K, Smolderen KG, Spertus JA. A Personalized and Interactive Web-Based Health Care Innovation to Advance the Quality of Life and Care of Patients With Heart Failure (ACQUIRE-HF): A Mixed Methods Feasibility Study. JMIR Research Protocols 2017;6(5):e96
    CrossRef
  14. Granja C, Janssen W, Johansen MA. Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature. Journal of Medical Internet Research 2018;20(5):e10235
    CrossRef
  15. von Storch K, Schlomann A, Rietz C, Polidori MC, Woopen C. Wearables zur Unterstützung des Selbstmanagements von älteren Menschen mit chronischen Erkrankungen. Zeitschrift für Gerontologie und Geriatrie 2018;51(7):791
    CrossRef
  16. Maslen S, Lupton D. Enacting chronic illness with and through digital media: a feminist new materialist approach. Information, Communication & Society 2020;23(11):1640
    CrossRef
  17. Roberts K, Boland MR, Pruinelli L, Dcruz J, Berry A, Georgsson M, Hazen R, Sarmiento RF, Backonja U, Yu K, Jiang Y, Brennan PF. Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics. Journal of the American Medical Informatics Association 2017;24(e1):e185
    CrossRef
  18. Barbarin AM, Klasnja P, Veinot TC. Good or bad, ups and downs, and getting better: Use of personal health data for temporal reflection in chronic illness. International Journal of Medical Informatics 2016;94:237
    CrossRef
  19. 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
    CrossRef
  20. Issom D, Henriksen A, Woldaregay AZ, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599
    CrossRef
  21. Chen AT, Kaplan SJ, Carriere R. A constant conversation: tuning into and harmonizing the needs and priorities of the body and mind. International Journal of Qualitative Studies on Health and Well-being 2017;12(1):1350550
    CrossRef
  22. Turner K, Clary A, Hong Y, Alishahi Tabriz A, Shea CM. Patient Portal Barriers and Group Differences: Cross-Sectional National Survey Study. Journal of Medical Internet Research 2020;22(9):e18870
    CrossRef
  23. Rosenbloom ST, Smith JRL, Bowen R, Burns J, Riplinger L, Payne TH. Updating HIPAA for the electronic medical record era. Journal of the American Medical Informatics Association 2019;26(10):1115
    CrossRef
  24. Despins LA, Wakefield BJ. Making sense of blood glucose data and self‐management in individuals with type 2 diabetes mellitus: A qualitative study. Journal of Clinical Nursing 2020;29(13-14):2572
    CrossRef
  25. Reading Turchioe M, Burgermaster M, Mitchell EG, Desai PM, Mamykina L. Adapting the stage-based model of personal informatics for low-resource communities in the context of type 2 diabetes. Journal of Biomedical Informatics 2020;110:103572
    CrossRef
  26. . The Relationship Between Health Management and Information Behavior Over Time: A Study of the Illness Journeys of People Living With Fibromyalgia. Journal of Medical Internet Research 2016;18(10):e269
    CrossRef
  27. Baptista S, Wadley G, Bird D, Oldenburg B, Speight J. User Experiences With a Type 2 Diabetes Coaching App: Qualitative Study. JMIR Diabetes 2020;5(3):e16692
    CrossRef
  28. van Haasteren A, Gille F, Fadda M, Vayena E. Development of the mHealth App Trustworthiness checklist. DIGITAL HEALTH 2019;5:205520761988646
    CrossRef
  29. Costa Figueiredo M, Caldeira C, Eikey EV, Mazmanian M, Chen Y. Engaging with Health Data. Proceedings of the ACM on Human-Computer Interaction 2018;2(CSCW):1
    CrossRef
  30. . Kairotic and chronological knowing: diabetes logbooks in-and-out of the hospital. Data Technologies and Applications 2018;52(1):148
    CrossRef
  31. Vassli LT, Farshchian BA. Acceptance of Health-Related ICT among Elderly People Living in the Community: A Systematic Review of Qualitative Evidence. International Journal of Human–Computer Interaction 2018;34(2):99
    CrossRef
  32. Firth J, Torous J, Nicholas J, Carney R, Pratap A, Rosenbaum S, Sarris J. The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials. World Psychiatry 2017;16(3):287
    CrossRef
  33. Cowey AE, Potts HWW. What can we learn from second generation digital natives? A qualitative study of undergraduates’ views of digital health at one London university. DIGITAL HEALTH 2018;4:205520761878815
    CrossRef
  34. Almalki M, Gray K, Martin-Sanchez F. Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies. Journal of Medical Internet Research 2016;18(5):e131
    CrossRef
  35. Featherall J, Lapin B, Chaitoff A, Havele SA, Thompson N, Katzan I. Characterization of Patient Interest in Provider-Based Consumer Health Information Technology: Survey Study. Journal of Medical Internet Research 2018;20(4):e128
    CrossRef
  36. Hirvonen N, Enwald H, Känsäkoski H, Eriksson-Backa K, Nguyen H, Huhta A, Huvila I. Older adults’ views on eHealth services: a systematic review of scientific journal articles. International Journal of Medical Informatics 2020;135:104031
    CrossRef
  37. . How does health feel? Towards research on the affective atmospheres of digital health. DIGITAL HEALTH 2017;3:205520761770127
    CrossRef
  38. Paliakaitė B, Daukantas S, Marozas V. Assessment of pulse arrival time for arterial stiffness monitoring on body composition scales. Computers in Biology and Medicine 2017;85:135
    CrossRef
  39. Paterson C, Primeau C, Lauder W. What Are the Experiences of Men Affected by Prostate Cancer Participating in an Ecological Momentary Assessment Study?. Cancer Nursing 2020;43(4):300
    CrossRef
  40. Paré G, Leaver C, Bourget C. Diffusion of the Digital Health Self-Tracking Movement in Canada: Results of a National Survey. Journal of Medical Internet Research 2018;20(5):e177
    CrossRef
  41. Torous J, Firth J, Huckvale K, Larsen ME, Cosco TD, Carney R, Chan S, Pratap A, Yellowlees P, Wykes T, Keshavan M, Christensen H. The Emerging Imperative for a Consensus Approach Toward the Rating and Clinical Recommendation of Mental Health Apps. Journal of Nervous & Mental Disease 2018;206(8):662
    CrossRef
  42. Gabriels K, Moerenhout T. Exploring Entertainment Medicine and Professionalization of Self-Care: Interview Study Among Doctors on the Potential Effects of Digital Self-Tracking. Journal of Medical Internet Research 2018;20(1):e10
    CrossRef
  43. Adu MD, Malabu UH, Malau-Aduli AEO, Malau-Aduli BS, Borsci S. Users’ preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives. PLOS ONE 2018;13(12):e0208942
    CrossRef
  44. Bhattarai P, Newton-John TR, Phillips JL. Apps for pain self-management of older people’s arthritic pain, one size doesn’t fit all: A qualitative study. Archives of Gerontology and Geriatrics 2020;89:104062
    CrossRef
  45. Kılınç S, Campbell C, Guy A, van Wersch A. Negotiating the boundaries of the medical model: Experiences of people with epilepsy. Epilepsy & Behavior 2020;102:106674
    CrossRef
  46. Torous J, Powell A, Knable MB. Quality Assessment of Self-Directed Software and Mobile Applications for the Treatment of Mental Illness. Psychiatric Annals 2016;46(10):579
    CrossRef
  47. Rooks RN, Kapral CG, Mathis AL. Chronic Conditions May Be More Important Than Race or Ethnicity in Relation to Health Information Seeking and Use. Journal of Aging and Health 2019;31(4):611
    CrossRef
  48. Searcy RP, Summapund J, Estrin D, Pollak JP, Schoenthaler A, Troxel AB, Dodson JA. Mobile Health Technologies for Older Adults with Cardiovascular Disease: Current Evidence and Future Directions. Current Geriatrics Reports 2019;8(1):31
    CrossRef
  49. . Beyond self-tracking: Exploring and unpacking four emerging labels of patient data work. Health Informatics Journal 2019;25(3):598
    CrossRef
  50. Giunti G, Rivera-Romero O, Kool J, Bansi J, Sevillano JL, Granja-Dominguez A, Izquierdo-Ayuso G, Giunta D. Evaluation of More Stamina, a Mobile App for Fatigue Management in Persons with Multiple Sclerosis: Protocol for a Feasibility, Acceptability, and Usability Study. JMIR Research Protocols 2020;9(8):e18196
    CrossRef
  51. Giordanengo A, Årsand E, Woldaregay AZ, Bradway M, Grottland A, Hartvigsen G, Granja C, Torsvik T, Hansen AH. Design and Prestudy Assessment of a Dashboard for Presenting Self-Collected Health Data of Patients With Diabetes to Clinicians: Iterative Approach and Qualitative Case Study. JMIR Diabetes 2019;4(3):e14002
    CrossRef
  52. Mickelson RS, Unertl KM, Holden RJ. Medication Management: The Macrocognitive Workflow of Older Adults With Heart Failure. JMIR Human Factors 2016;3(2):e27
    CrossRef
  53. Wakefield BJ, Alexander G, Dohrmann M, Richardson J. Design and Evaluation of a Web-Based Symptom Monitoring Tool for Heart Failure. CIN: Computers, Informatics, Nursing 2017;35(5):248
    CrossRef
  54. . Fitness for sale: The value of self-tracking in secondhand exchange. The Information Society 2019;35(3):109
    CrossRef
  55. Wallace D, Perry J, Yu J, Mehta J, Hunter P, Cross KM. Assessing the Need for Mobile Health (mHealth) in Monitoring the Diabetic Lower Extremity. JMIR mHealth and uHealth 2019;7(4):e11879
    CrossRef
  56. Hohenstein JC, Baumer EP, Reynolds L, Murnane EL, O'Dell D, Lee S, Guha S, Qi Y, Rieger E, Gay G. Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition. JMIR Human Factors 2018;5(1):e9
    CrossRef
  57. Schmitt Z, Yarosh S. Participatory Design of Technologies to Support Recovery from Substance Use Disorders. Proceedings of the ACM on Human-Computer Interaction 2018;2(CSCW):1
    CrossRef
  58. Whitney RL, Ward DH, Marois MT, Schmid CH, Sim I, Kravitz RL. Patient Perceptions of Their Own Data in mHealth Technology–Enabled N-of-1 Trials for Chronic Pain: Qualitative Study. JMIR mHealth and uHealth 2018;6(10):e10291
    CrossRef
  59. Aleksić D, Rajković P, Vučković D, Janković D, Milenković A. Data summarization method for chronic disease tracking. Journal of Biomedical Informatics 2017;69:188
    CrossRef
  60. Andersen TO, Langstrup H, Lomborg S. Experiences With Wearable Activity Data During Self-Care by Chronic Heart Patients: Qualitative Study. Journal of Medical Internet Research 2020;22(7):e15873
    CrossRef
  61. Holden RJ, Karanam YL, Cavalcanti LH, Parmar T, Kodthala P, Fowler NR, Bateman DR. Health information management practices in informal caregiving: An artifacts analysis and implications for IT design. International Journal of Medical Informatics 2018;120:31
    CrossRef
  62. Ratcliff CL, Kaphingst KA, Jensen JD. When Personal Feels Invasive: Foreseeing Challenges in Precision Medicine Communication. Journal of Health Communication 2018;23(2):144
    CrossRef
  63. Torres-Mallma C, Runzer-Colmenares FM, Parodi JF. Uso de aplicaciones relacionadas con salud en dispositivos móviles y su asociación con comorbilidades en adultos mayores. Revista Española de Geriatría y Gerontología 2018;53(1):54
    CrossRef
  64. Kelly L, Jenkinson C, Morley D. Experiences of Using Web-Based and Mobile Technologies to Support Self-Management of Type 2 Diabetes: Qualitative Study. JMIR Diabetes 2018;3(2):e9
    CrossRef
  65. Epstein DA, Caldeira C, Figueiredo MC, Lu X, Silva LM, Williams L, Lee JH, Li Q, Ahuja S, Chen Q, Dowlatyari P, Hilby C, Sultana S, Eikey EV, Chen Y. Mapping and Taking Stock of the Personal Informatics Literature. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2020;4(4):1
    CrossRef
  66. Costa Figueiredo M, Su HI, Chen Y. Using Data to Approach the Unknown. Proceedings of the ACM on Human-Computer Interaction 2021;4(CSCW3):1
    CrossRef
  67. Burchert S, Kerber A, Zimmermann J, Knaevelsrud C, Nater-Mewes R. Screening accuracy of a 14-day smartphone ambulatory assessment of depression symptoms and mood dynamics in a general population sample: Comparison with the PHQ-9 depression screening. PLOS ONE 2021;16(1):e0244955
    CrossRef
  68. Issom D, Hardy-Dessources M, Romana M, Hartvigsen G, Lovis C. Toward a Conversational Agent to Support the Self-Management of Adults and Young Adults With Sickle Cell Disease: Usability and Usefulness Study. Frontiers in Digital Health 2021;3
    CrossRef
  69. Turner K, Jo A, Wei G, Tabriz AA, Clary A, Jim HSL. Sharing patient-generated data with healthcare providers: findings from a 2019 national survey. Journal of the American Medical Informatics Association 2021;28(2):371
    CrossRef
  70. Ilhan A, Feng Y, Fietkiewicz KJ, Eikey EV. Opportunities and challenges of self‐tracking technologies: Understanding information, technology, and users through the lens of information science. Proceedings of the Association for Information Science and Technology 2020;57(1)
    CrossRef
  71. Jaana M, Paré G. Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey. JMIR mHealth and uHealth 2020;8(11):e24718
    CrossRef
  72. Bhat KS, Kumar N. Sociocultural Dimensions of Tracking Health and Taking Care. Proceedings of the ACM on Human-Computer Interaction 2020;4(CSCW2):1
    CrossRef
  73. Jones SL, Hue W, Kelly RM, Barnett R, Henderson V, Sengupta R. Determinants of Longitudinal Adherence in Smartphone-Based Self-Tracking for Chronic Health Conditions. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2021;5(1):1
    CrossRef
  74. Morton E, Torous J, Murray G, Michalak EE. Using apps for bipolar disorder – An online survey of healthcare provider perspectives and practices. Journal of Psychiatric Research 2021;137:22
    CrossRef
  75. Dinsmore J, Hannigan C, Smith S, Murphy E, Kuiper JML, O'Byrne E, Galvin M, Jacobs A, Sillevis Smitt M, van Leeuwen C, McAleer P, Tompkins L, Brady A, McCarron M, Doyle J. A Digital Health Platform for Integrated and Proactive Patient-Centered Multimorbidity Self-management and Care (ProACT): Protocol for an Action Research Proof-of-Concept Trial. JMIR Research Protocols 2021;10(12):e22125
    CrossRef
  76. Beck A, Schulze-Hagen T, Domogalla L, Herr R, Benecke J, Schmieder A. Effect of a disease-monitoring smartphone application in combination with a patient educational program on mental health of patients with psoriasis: A randomized intervention study. Journal of the American Academy of Dermatology 2021;85(6):1628
    CrossRef
  77. Vafeiadou J, Vasalou A, Roussos G. Self-tracking in Parkinson's The Lived Efforts of Self-management. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1
    CrossRef
  78. Stampe K, Kishik S, Müller SD. Mobile Health in Chronic Disease Management and Patient Empowerment: Exploratory Qualitative Investigation Into Patient-Physician Consultations. Journal of Medical Internet Research 2021;23(6):e26991
    CrossRef
  79. Eikey EV, Caldeira CM, Figueiredo MC, Chen Y, Borelli JL, Mazmanian M, Zheng K. Beyond self-reflection: introducing the concept of rumination in personal informatics. Personal and Ubiquitous Computing 2021;25(3):601
    CrossRef
  80. Koopman WJ, LaDonna KA, Anne Kinsella E, Venance SL, Watling CJ. Getting airtime: Exploring how patients shape the stories they tell health practitioners. Medical Education 2021;55(10):1142
    CrossRef
  81. Doyle J, Murphy E, Gavin S, Pascale A, Deparis S, Tommasi P, Smith S, Hannigan C, Sillevis Smitt M, van Leeuwen C, Lastra J, Galvin M, McAleer P, Tompkins L, Jacobs A, M Marques M, Medina Maestro J, Boyle G, Dinsmore J. A Digital Platform to Support Self-management of Multiple Chronic Conditions (ProACT): Findings in Relation to Engagement During a One-Year Proof-of-Concept Trial. Journal of Medical Internet Research 2021;23(12):e22672
    CrossRef
  82. Feng S, Mäntymäki M, Dhir A, Salmela H. How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review. Journal of Medical Internet Research 2021;23(9):e25171
    CrossRef
  83. Domogalla L, Beck A, Schulze-Hagen T, Herr R, Benecke J, Schmieder A. Impact of an eHealth Smartphone App on the Mental Health of Patients With Psoriasis: Prospective Randomized Controlled Intervention Study. JMIR mHealth and uHealth 2021;9(10):e28149
    CrossRef
  84. Rogers CC, Moutinho Jr TJ, Liu X, Valdez RS. Designing Consumer Health Information Technology to Support Biform and Articulation Work: A Qualitative Study of Diet and Nutrition Management as Patient Work. JMIR Human Factors 2021;8(3):e27452
    CrossRef
  85. Ramírez E, Romero‐Jiménez R, Hernández‐Muniesa B, Fernández‐Pacheco M, Calvo A, Chamorro‐de‐Vega E, Herrero N, Úbeda B, Morell A, Ais‐Larisgoitia A, Lobato‐Matilla E, Muñoz , Casado A, Casado M, Escudero‐Vilaplana V. Evaluation of the hospital care quality perceived by patients with immune‐mediated inflammatory diseases from the pharmacy service. SACVINFA study. Journal of Clinical Pharmacy and Therapeutics 2022;47(12):2020
    CrossRef
  86. Trupia DV, Mathieu-Fritz A, Duong TA. The Sociological Perspective of Users’ Invisible Work: A Qualitative Research Framework for Studying Digital Health Innovations Integration. Journal of Medical Internet Research 2021;23(11):e25159
    CrossRef
  87. Castillo AF, Davis AL, Fischhoff B, Krishnamurti T. Digital medicines for adherence support: A conceptual framework and qualitative study of adherence among chronically ill patients. Health Informatics Journal 2021;27(5):146045822110594
    CrossRef
  88. Ancker JS, Benda NC, Reddy M, Unertl KM, Veinot T. Guidance for publishing qualitative research in informatics. Journal of the American Medical Informatics Association 2021;28(12):2743
    CrossRef
  89. Buhr L, Kaufmann PLM, Jörß K. Attitudes of Patients With Chronic Heart Failure Toward Digital Device Data for Self-documentation and Research in Germany: Cross-sectional Survey Study. JMIR Cardio 2022;6(2):e34959
    CrossRef
  90. Costa Figueiredo M, Caldeira C, Reynolds TL, Victory S, Zheng K, Chen Y. Self-Tracking for Fertility Care. Proceedings of the ACM on Human-Computer Interaction 2017;1(CSCW):1
    CrossRef
  91. Wang H, Manning SE, Ho AF, Sambamoorthi U. Factors Associated with Reducing Disparities in Electronic Personal Heath Records Use Among Non-Hispanic White and Hispanic Adults. Journal of Racial and Ethnic Health Disparities 2023;10(3):1201
    CrossRef
  92. Nourse R, Lobo E, McVicar J, Kensing F, Islam SMS, Kayser L, Maddison R. Characteristics of Smart Health Ecosystems That Support Self-care Among People With Heart Failure: Scoping Review. JMIR Cardio 2022;6(2):e36773
    CrossRef
  93. Sung M, He J, Zhou Q, Chen Y, Ji JS, Chen H, Li Z. Using an Integrated Framework to Investigate the Facilitators and Barriers of Health Information Technology Implementation in Noncommunicable Disease Management: Systematic Review. Journal of Medical Internet Research 2022;24(7):e37338
    CrossRef
  94. Wendrich K, Krabbenborg L. Digital Self-monitoring of Multiple Sclerosis: Interview Study With Dutch Health Care Providers on the Expected New Configuration of Roles and Responsibilities. JMIR mHealth and uHealth 2022;10(4):e30224
    CrossRef
  95. Thomas S, Pulman A, Dogan H, Jiang N, Passmore D, Pretty K, Fairbanks B, Davies Smith A, Thomas PW. Creating a Digital Toolkit to Reduce Fatigue and Promote Quality of Life in Multiple Sclerosis: Participatory Design and Usability Study. JMIR Formative Research 2021;5(12):e19230
    CrossRef
  96. Zou N, Chi Y, He D, Xie B, Wang Z. Together they shall not fade away: Opportunities and challenges of self-tracking for dementia care. Information Processing & Management 2022;59(5):103024
    CrossRef
  97. Coşkun A, Karahanoğlu A. Data Sensemaking in Self-Tracking: Towards a New Generation of Self-Tracking Tools. International Journal of Human–Computer Interaction 2023;39(12):2339
    CrossRef
  98. van Oirschot P, Heerings M, Wendrich K, den Teuling B, Dorssers F, van Ee R, Martens MB, Jongen PJ. A Two-Minute Walking Test With a Smartphone App for Persons With Multiple Sclerosis: Validation Study. JMIR Formative Research 2021;5(11):e29128
    CrossRef
  99. Tyler J, Boldi M, Cherubini M. Contemporary self-reflective practices: A large-scale survey. Acta Psychologica 2022;230:103768
    CrossRef
  100. . A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117
    CrossRef
  101. Oh CY, Luo Y, St. Jean B, Choe EK. Patients Waiting for Cues: Information Asymmetries and Challenges in Sharing Patient-Generated Data in the Clinic. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1
    CrossRef
  102. Jo E, Park S, Bang H, Hong Y, Kim Y, Choi J, Kim BN, Epstein DA, Hong H. GeniAuti: Toward Data-Driven Interventions to Challenging Behaviors of Autistic Children through Caregivers' Tracking. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW1):1
    CrossRef
  103. . « Faire ses 10 000 pas », vraiment ?. Réseaux 2019;n° 216(4):157
    CrossRef
  104. Tan Y, Lattie EG, Qiu Y, Teng Z, Wu C, Tang H, Chen J. Accessibility of mental health support in China and preferences on web-based services for mood disorders: A qualitative study. Internet Interventions 2021;26:100475
    CrossRef
  105. Kruzan KP, Reddy M, Washburn JJ, Mohr DC. Developing a Mobile App for Young Adults with Nonsuicidal Self-Injury: A Prototype Feedback Study. International Journal of Environmental Research and Public Health 2022;19(23):16163
    CrossRef
  106. Zaman SB, Khan RK, Evans RG, Thrift AG, Maddison R, Islam SMS. Exploring Barriers to and Enablers of the Adoption of Information and Communication Technology for the Care of Older Adults With Chronic Diseases: Scoping Review. JMIR Aging 2022;5(1):e25251
    CrossRef
  107. . It’s Understandable If It Destroys You, Right?—Grades, Students’ Self-Images, and Quantification. Journal of Contemporary Ethnography 2023;52(5):607
    CrossRef
  108. Baumann MF, Weinberger N, Maia M, Schmid K. User types, psycho-social effects and societal trends related to the use of consumer health technologies. DIGITAL HEALTH 2023;9:205520762311639
    CrossRef
  109. Evers LJW, Peeters JM, Bloem BR, Meinders MJ. Need for personalized monitoring of Parkinson’s disease: the perspectives of patients and specialized healthcare providers. Frontiers in Neurology 2023;14
    CrossRef
  110. Wendrich K, Krabbenborg L. Negotiating with digital self-monitoring: A qualitative study on how patients with multiple sclerosis use and experience digital self-monitoring within a scientific study. Health: An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine 2023;:136345932311753
    CrossRef
  111. Ezekiel L, Veiga JJD, Ward T, Dawes H, Collett J. Exploring the usability of a smartphone application to monitor fatigue and activity for people with acquired brain injury. British Journal of Occupational Therapy 2023;86(11):767
    CrossRef
  112. Orlu GU, Abdullah RB, Zaremohzzabieh Z, Jusoh YY, Asadi S, Qasem YAM, Nor RNH, Mohd Nasir WMHB. A Systematic Review of Literature on Sustaining Decision-Making in Healthcare Organizations Amid Imperfect Information in the Big Data Era. Sustainability 2023;15(21):15476
    CrossRef
  113. Wróbel-Lachowska M, Dominiak J, Woźniak MP, Bartłomiejczyk N, Diethei D, Wysokińska A, Niess J, Grudzień K, Woźniak PW, Romanowski A. ‘That’s when I put it on’: stakeholder perspectives in large-scale remote health monitoring for older adults. Personal and Ubiquitous Computing 2023;27(6):2193
    CrossRef
  114. Kabir KS, Wiese J. A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics Systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(3):1
    CrossRef
  115. Vojjala M, Wysota CN, Oketunbi O, King Q, Rogers ES, Ward K. Integrating the “Quit and Stay Quit Monday” Model into Smoking Cessation Services for Smokers with Mental Health Conditions: A Pilot Randomized Controlled Trial. Journal of Smoking Cessation 2023;2023
    CrossRef
  116. Cajamarca G, Proust V, Herskovic V, Cádiz RF, Verdezoto N, Fernández FJ. Technologies for Managing the Health of Older Adults with Multiple Chronic Conditions: A Systematic Literature Review. Healthcare 2023;11(21):2897
    CrossRef
  117. . Personal Health Tracking: A Paradigm Shift in the Self-Care Models in Nursing. JMIR Nursing 2023;6:e50991
    CrossRef
  118. Patra BG, Sun Z, Cheng Z, Kumar PKRJ, Altammami A, Liu Y, Joly R, Jedlicka C, Delgado D, Pathak J, Peng Y, Zhang Y. Automated classification of lay health articles using natural language processing: a case study on pregnancy health and postpartum depression. Frontiers in Psychiatry 2023;14
    CrossRef
  119. Choi S, Sajib MRUZ, Manzano J, Chlebek CJ. mHealth Technology Experiences of Middle-Aged and Older Individuals with Visual Impairments: A Qualitative Analysis (Preprint). JMIR Formative Research 2023;
    CrossRef
  120. Weitzman ER, Minegishi M, Cox R, Wisk LE. Associations Between Patient-Reported Outcome Measures of Physical and Psychological Functioning and Willingness to Share Social Media Data for Research Among Adolescents With a Chronic Rheumatic Disease: Cross-Sectional Survey. JMIR Pediatrics and Parenting 2023;6:e46555
    CrossRef
  121. Moore-Bouchard C, Martel M, Develay E, Côté J, Durand M, Pagé MG. Prioritizing chronic pain self-management amid coexisting chronic illnesses: An exploratory qualitative study. International Journal of Nursing Studies Advances 2024;6:100175
    CrossRef
  122. Carmichael L, Hall W, Boniface M. Personal data store ecosystems in health and social care. Frontiers in Public Health 2024;12
    CrossRef
  123. Bertolazzi A, Quaglia V, Bongelli R. Barriers and facilitators to health technology adoption by older adults with chronic diseases: an integrative systematic review. BMC Public Health 2024;24(1)
    CrossRef
  124. Tahsin F, Bahr T, Shaw J, Shachak A, Gray CS. The relationship between treatment burden and the use of telehealth technologies among patients with chronic conditions: A scoping review. Health Policy and Technology 2024;:100855
    CrossRef
  125. Tang C, Shuva IK, Thelen M, Zhu L, Miller NS. Exploring the Strategies People with Parkinson's Disease Use to Self-track Symptoms and Medications. ACM Transactions on Accessible Computing 2024;17(1):1
    CrossRef
  126. 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;
    CrossRef
  127. Whitman SA, Pine KH, Thorsteinsdottir B, Organick-Lee P, Thota A, Espinoza Suarez NR, Johnston EW, Boehmer KR. Bodily Experiences of Illness and Treatment as Information Work: The Case of Chronic Kidney Disease. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1
    CrossRef
  128. Fundoiano-Hershcovitz , Ritholz MD, Horwitz DL, Behar E, Manejwala O, Goldstein P. The Impact of Digital Self-Monitoring of Weight on Improving Diabetes Clinical Outcomes: Quasi-Randomized Study. Journal of Medical Internet Research 2024;26:e54940
    CrossRef
  129. Post E, Hall DA, Bloem BR. Reply to “An Apple a Day Will Not Keep the (Parkinson's Disease) Doctor at Bay!”. Annals of Neurology 2024;
    CrossRef
  130. . Comparison of Self-Tracking Health Practices, eHealth Literacy, and Subjective Well-Being Between College Students With and Without Disabilities: Cross-Sectional Survey. JMIR Formative Research 2024;8:e48783
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  1. Grimm M, Lampert C, Wolf S. Handbuch der Gesundheitskommunikation. 2019. Chapter 4:43
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  2. Caldeira C, Chen Y. Perspectives on Human-Computer Interaction Research with Older People. 2019. Chapter 5:67
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