Published on 19.08.15 in Vol 17, No 8 (2015): August
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)
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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
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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
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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
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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)
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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Maslen S, Lupton D. Enacting chronic illness with and through digital media: a feminist new materialist approach. Information, Communication & Society 2020;23(11):1640
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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
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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
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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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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
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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
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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
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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
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. 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
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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
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van Haasteren A, Gille F, Fadda M, Vayena E. Development of the mHealth App Trustworthiness checklist. DIGITAL HEALTH 2019;5:205520761988646
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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
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. Kairotic and chronological knowing: diabetes logbooks in-and-out of the hospital. Data Technologies and Applications 2018;52(1):148
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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
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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
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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
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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
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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
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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
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. How does health feel? Towards research on the affective atmospheres of digital health. DIGITAL HEALTH 2017;3:205520761770127
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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. Beyond self-tracking: Exploring and unpacking four emerging labels of patient data work. Health Informatics Journal 2019;25(3):598
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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
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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
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Mickelson RS, Unertl KM, Holden RJ. Medication Management: The Macrocognitive Workflow of Older Adults With Heart Failure. JMIR Human Factors 2016;3(2):e27
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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
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. Fitness for sale: The value of self-tracking in secondhand exchange. The Information Society 2019;35(3):109
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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
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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
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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
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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
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Aleksić D, Rajković P, Vučković D, Janković D, Milenković A. Data summarization method for chronic disease tracking. Journal of Biomedical Informatics 2017;69:188
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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
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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
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Ratcliff CL, Kaphingst KA, Jensen JD. When Personal Feels Invasive: Foreseeing Challenges in Precision Medicine Communication. Journal of Health Communication 2018;23(2):144
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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
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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
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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
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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
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