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

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

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

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

Journals

  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 J, 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 View
  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 View
  3. Holmen H, Wahl A, 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 View
  4. McKinney P, Cox A, 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 View
  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) View
  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 View
  7. Gorman R, Wellbeloved-Stone C, Valdez R. Uncovering the invisible patient work system through a case study of breast cancer self-management. Ergonomics 2018;61(12):1575 View
  8. Almalki M, Gray K, Martin-Sanchez F. Refining the Concepts of Self-quantification Needed for Health Self-management. Methods of Information in Medicine 2017;56(01):46 View
  9. Mirkovic J, Jessen S, Kristjansdottir O, Krogseth T, Koricho A, Ruland C. Developing Technology to Mobilize Personal Strengths in People with Chronic Illness: Positive Codesign Approach. JMIR Formative Research 2018;2(1):e10774 View
  10. Lomborg S, Langstrup H, Andersen T. Interpretation as luxury: Heart patients living with data doubt, hope, and anxiety. Big Data & Society 2020;7(1):205395172092443 View
  11. Torous J, Nicholas J, Larsen M, 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 View
  12. Elaine Southard M, Bark L, Erickson M, Monsen K. Feasibility of using the Omaha System to represent Nurse Coaching practice. Kontakt 2017;19(1):e4 View
  13. Pedersen S, Schmidt T, Skovbakke S, Wiil U, Egstrup K, Smolderen K, Spertus J. 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 View
  14. Granja C, Janssen W, Johansen M. Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature. Journal of Medical Internet Research 2018;20(5):e10235 View
  15. von Storch K, Schlomann A, Rietz C, Polidori M, Woopen C. Wearables zur Unterstützung des Selbstmanagements von älteren Menschen mit chronischen Erkrankungen. Zeitschrift für Gerontologie und Geriatrie 2018;51(7):791 View
  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 View
  17. Roberts K, Boland M, Pruinelli L, Dcruz J, Berry A, Georgsson M, Hazen R, Sarmiento R, Backonja U, Yu K, Jiang Y, Brennan P. 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 View
  18. Barbarin A, Klasnja P, Veinot T. 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 View
  19. 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
  20. Issom D, Henriksen A, Woldaregay A, 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 View
  21. Chen A, Kaplan S, 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 View
  22. Turner K, Clary A, Hong Y, Alishahi Tabriz A, Shea C. Patient Portal Barriers and Group Differences: Cross-Sectional National Survey Study. Journal of Medical Internet Research 2020;22(9):e18870 View
  23. Rosenbloom S, Smith J, Bowen R, Burns J, Riplinger L, Payne T. Updating HIPAA for the electronic medical record era. Journal of the American Medical Informatics Association 2019;26(10):1115 View
  24. Despins L, Wakefield B. 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 View
  25. Reading Turchioe M, Burgermaster M, Mitchell E, Desai P, 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 View
  26. Chen A. 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 View
  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 View
  28. van Haasteren A, Gille F, Fadda M, Vayena E. Development of the mHealth App Trustworthiness checklist. DIGITAL HEALTH 2019;5:205520761988646 View
  29. Costa Figueiredo M, Caldeira C, Eikey E, Mazmanian M, Chen Y. Engaging with Health Data. Proceedings of the ACM on Human-Computer Interaction 2018;2(CSCW):1 View
  30. Piras E. Kairotic and chronological knowing: diabetes logbooks in-and-out of the hospital. Data Technologies and Applications 2018;52(1):148 View
  31. Vassli L, Farshchian B. 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 View
  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 View
  33. Cowey A, Potts H. 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 View
  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 View
  35. Featherall J, Lapin B, Chaitoff A, Havele S, 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 View
  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 View
  37. Lupton D. How does health feel? Towards research on the affective atmospheres of digital health. DIGITAL HEALTH 2017;3:205520761770127 View
  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 View
  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 View
  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 View
  41. Torous J, Firth J, Huckvale K, Larsen M, Cosco T, 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 View
  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 View
  43. Adu M, Malabu U, Malau-Aduli A, Malau-Aduli B, 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 View
  44. Bhattarai P, Newton-John T, Phillips J. 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 View
  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 View
  46. Torous J, Powell A, Knable M. Quality Assessment of Self-Directed Software and Mobile Applications for the Treatment of Mental Illness. Psychiatric Annals 2016;46(10):579 View
  47. Rooks R, Kapral C, Mathis A. 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 View
  48. Searcy R, Summapund J, Estrin D, Pollak J, Schoenthaler A, Troxel A, Dodson J. Mobile Health Technologies for Older Adults with Cardiovascular Disease: Current Evidence and Future Directions. Current Geriatrics Reports 2019;8(1):31 View
  49. Piras E. Beyond self-tracking: Exploring and unpacking four emerging labels of patient data work. Health Informatics Journal 2019;25(3):598 View
  50. Giunti G, Rivera-Romero O, Kool J, Bansi J, Sevillano J, 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 View
  51. Giordanengo A, Årsand E, Woldaregay A, Bradway M, Grottland A, Hartvigsen G, Granja C, Torsvik T, Hansen A. 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 View
  52. Mickelson R, Unertl K, Holden R. Medication Management: The Macrocognitive Workflow of Older Adults With Heart Failure. JMIR Human Factors 2016;3(2):e27 View
  53. Wakefield B, 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 View
  54. Lyall B. Fitness for sale: The value of self-tracking in secondhand exchange. The Information Society 2019;35(3):109 View
  55. Wallace D, Perry J, Yu J, Mehta J, Hunter P, Cross K. Assessing the Need for Mobile Health (mHealth) in Monitoring the Diabetic Lower Extremity. JMIR mHealth and uHealth 2019;7(4):e11879 View
  56. Hohenstein J, Baumer E, Reynolds L, Murnane E, 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 View
  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 View
  58. Whitney R, Ward D, Marois M, Schmid C, Sim I, Kravitz R. 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 View
  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 View
  60. Andersen T, 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 View
  61. Holden R, Karanam Y, Cavalcanti L, Parmar T, Kodthala P, Fowler N, Bateman D. Health information management practices in informal caregiving: An artifacts analysis and implications for IT design. International Journal of Medical Informatics 2018;120:31 View
  62. Ratcliff C, Kaphingst K, Jensen J. When Personal Feels Invasive: Foreseeing Challenges in Precision Medicine Communication. Journal of Health Communication 2018;23(2):144 View
  63. Torres-Mallma C, Runzer-Colmenares F, Parodi J. 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 View
  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 View
  65. Epstein D, Caldeira C, Figueiredo M, Lu X, Silva L, Williams L, Lee J, Li Q, Ahuja S, Chen Q, Dowlatyari P, Hilby C, Sultana S, Eikey E, 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 View
  66. Costa Figueiredo M, Su H, Chen Y. Using Data to Approach the Unknown. Proceedings of the ACM on Human-Computer Interaction 2021;4(CSCW3):1 View
  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 View
  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 View
  69. Turner K, Jo A, Wei G, Tabriz A, Clary A, Jim H. Sharing patient-generated data with healthcare providers: findings from a 2019 national survey. Journal of the American Medical Informatics Association 2021;28(2):371 View
  70. Ilhan A, Feng Y, Fietkiewicz K, Eikey E. 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) View
  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 View
  72. Bhat K, Kumar N. Sociocultural Dimensions of Tracking Health and Taking Care. Proceedings of the ACM on Human-Computer Interaction 2020;4(CSCW2):1 View
  73. Jones S, Hue W, Kelly R, 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 View
  74. Morton E, Torous J, Murray G, Michalak E. Using apps for bipolar disorder – An online survey of healthcare provider perspectives and practices. Journal of Psychiatric Research 2021;137:22 View
  75. Dinsmore J, Hannigan C, Smith S, Murphy E, Kuiper J, 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 View
  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 View
  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 View
  78. Stampe K, Kishik S, Müller S. 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 View
  79. Eikey E, Caldeira C, Figueiredo M, Chen Y, Borelli J, Mazmanian M, Zheng K. Beyond self-reflection: introducing the concept of rumination in personal informatics. Personal and Ubiquitous Computing 2021;25(3):601 View
  80. Koopman W, LaDonna K, Anne Kinsella E, Venance S, Watling C. Getting airtime: Exploring how patients shape the stories they tell health practitioners. Medical Education 2021;55(10):1142 View
  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 View
  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 View
  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 View
  84. Rogers C, Moutinho Jr T, Liu X, Valdez R. 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 View
  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 Á, 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 View
  86. Trupia D, Mathieu-Fritz A, Duong T. 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 View
  87. Castillo A, Davis A, 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 View
  88. Ancker J, Benda N, Reddy M, Unertl K, Veinot T. Guidance for publishing qualitative research in informatics. Journal of the American Medical Informatics Association 2021;28(12):2743 View
  89. Buhr L, Kaufmann P, 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 View
  90. Costa Figueiredo M, Caldeira C, Reynolds T, Victory S, Zheng K, Chen Y. Self-Tracking for Fertility Care. Proceedings of the ACM on Human-Computer Interaction 2017;1(CSCW):1 View
  91. Wang H, Manning S, Ho A, 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 View
  92. Nourse R, Lobo E, McVicar J, Kensing F, Islam S, 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 View
  93. Sung M, He J, Zhou Q, Chen Y, Ji J, 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 View
  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 View
  95. Thomas S, Pulman A, Dogan H, Jiang N, Passmore D, Pretty K, Fairbanks B, Davies Smith A, Thomas P. 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 View
  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 View
  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 View
  98. van Oirschot P, Heerings M, Wendrich K, den Teuling B, Dorssers F, van Ee R, Martens M, Jongen P. A Two-Minute Walking Test With a Smartphone App for Persons With Multiple Sclerosis: Validation Study. JMIR Formative Research 2021;5(11):e29128 View
  99. Tyler J, Boldi M, Cherubini M. Contemporary self-reflective practices: A large-scale survey. Acta Psychologica 2022;230:103768 View
  100. Grundy Q. A Review of the Quality and Impact of Mobile Health Apps. Annual Review of Public Health 2022;43(1):117 View
  101. Oh C, Luo Y, St. Jean B, Choe E. 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 View
  102. Jo E, Park S, Bang H, Hong Y, Kim Y, Choi J, Kim B, Epstein D, 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 View
  103. Pharabod A. « Faire ses 10 000 pas », vraiment ?. Réseaux 2019;n° 216(4):157 View
  104. Tan Y, Lattie E, 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 View
  105. Kruzan K, Reddy M, Washburn J, Mohr D. 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 View
  106. Zaman S, Khan R, Evans R, Thrift A, Maddison R, Islam S. 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 View
  107. Rohde N. It’s Understandable If It Destroys You, Right?—Grades, Students’ Self-Images, and Quantification. Journal of Contemporary Ethnography 2023;52(5):607 View
  108. Baumann M, 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 View
  109. Evers L, Peeters J, Bloem B, Meinders M. Need for personalized monitoring of Parkinson’s disease: the perspectives of patients and specialized healthcare providers. Frontiers in Neurology 2023;14 View
  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 2024;28(3):333 View
  111. Ezekiel L, Veiga J, 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 View
  112. Orlu G, Abdullah R, Zaremohzzabieh Z, Jusoh Y, Asadi S, Qasem Y, Nor R, Mohd Nasir W. 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 View
  113. Wróbel-Lachowska M, Dominiak J, Woźniak M, Bartłomiejczyk N, Diethei D, Wysokińska A, Niess J, Grudzień K, Woźniak P, 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 View
  114. Kabir K, 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 View
  115. Vojjala M, Wysota C, Oketunbi O, King Q, Rogers E, 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 View
  116. Cajamarca G, Proust V, Herskovic V, Cádiz R, Verdezoto N, Fernández F. Technologies for Managing the Health of Older Adults with Multiple Chronic Conditions: A Systematic Literature Review. Healthcare 2023;11(21):2897 View
  117. Choi S. Personal Health Tracking: A Paradigm Shift in the Self-Care Models in Nursing. JMIR Nursing 2023;6:e50991 View
  118. Patra B, Sun Z, Cheng Z, Kumar P, 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 View
  119. Choi S, Sajib M, Manzano J, Chlebek C. mHealth Technology Experiences of Middle-Aged and Older Individuals with Visual Impairments: A Qualitative Analysis (Preprint). JMIR Formative Research 2023 View
  120. Weitzman E, Minegishi M, Cox R, Wisk L. 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 View
  121. Moore-Bouchard C, Martel M, Develay E, Côté J, Durand M, Pagé M. Prioritizing chronic pain self-management amid coexisting chronic illnesses: An exploratory qualitative study. International Journal of Nursing Studies Advances 2024;6:100175 View
  122. Carmichael L, Hall W, Boniface M. Personal data store ecosystems in health and social care. Frontiers in Public Health 2024;12 View
  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) View
  124. Tahsin F, Bahr T, Shaw J, Shachak A, Gray C. The relationship between treatment burden and the use of telehealth technologies among patients with chronic conditions: A scoping review. Health Policy and Technology 2024;13(2):100855 View
  125. Tang C, Shuva I, Thelen M, Zhu L, Miller N. Exploring the Strategies People with Parkinson's Disease Use to Self-track Symptoms and Medications. ACM Transactions on Accessible Computing 2024;17(1):1 View
  126. 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
  127. Whitman S, Pine K, Thorsteinsdottir B, Organick-Lee P, Thota A, Espinoza Suarez N, Johnston E, Boehmer K. 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 View
  128. Fundoiano-Hershcovitz ‪, Ritholz M, Horwitz D, 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 View
  129. Post E, Hall D, Bloem B. Reply to “An Apple a Day Will Not Keep the (Parkinson's Disease) Doctor at Bay!”. Annals of Neurology 2024;95(5):1013 View
  130. Choi S. 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 View
  131. Su Z, Kamath S, Tirakitsoontorn P, Chen Y. The Hidden Burden: Encountering and Managing (Unintended) Stigma in Children with Serious Illnesses. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  132. Kolovson S, So S, Munson S. Using Speculative Design to Understand Preferred Futures for the Design and Use of Tracking Data in U.S. College Sport Teams. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW1):1 View
  133. Ong M, Foong P, Tan S, Xia X, Koh G. Hearing, sharing and applying: a qualitative study of the experiences of family caregivers’ end-of-life decision-making in Singapore. BMJ Public Health 2024;2(1):e000646 View
  134. Fakolade A, Jackson A, Cardwell K, Finlayson M, O'Sullivan T, Tomasone J, Pilutti L. DigiTRAC: Qualitative insights from knowledge users to inform the development of a Digital Toolkit for enhancing resilience among multiple sclerosis caregivers. Multiple Sclerosis and Related Disorders 2024;88:105736 View

Books/Policy Documents

  1. Grimm M, Lampert C, Wolf S. Handbuch der Gesundheitskommunikation. View
  2. Caldeira C, Chen Y. Perspectives on Human-Computer Interaction Research with Older People. View
  3. Grimm M, Lampert C, Wolf S. Handbuch Gesundheitskommunikation. View
  4. Chao W, Hass Z. Human Aspects of IT for the Aged Population. Healthy and Active Aging. View
  5. Shadbolt N, O’Hara K, De Roure D, Hall W. The Theory and Practice of Social Machines. View
  6. Issom D. Sickle Cell Disease. View
  7. . Household Self-Tracking during a Global Health Crisis. View
  8. Ongwere T, Stolterman E, Shih P, James C, Connelly K. Pervasive Computing Technologies for Healthcare. View
  9. Smirnova S. Communication and Health. View
  10. Bojan K, Christogianni A, Mukaetova-Ladinska E. Handbook of Research on Promoting Economic and Social Development Through Serious Games. View
  11. Nadarajah S, Pedersen P, Skovfoged M, Ziadeh H, Knoche H. Pervasive Computing Technologies for Healthcare. View
  12. Andersen T, Fritsch J, Matthiesen S. Pervasive Computing Technologies for Healthcare. View