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

Participatory Medicine & E-Patients (773) Quantified Self and Wellness (77) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Design and Usability of Medical Devices (98) Focus Groups and Qualitative Research for Human Factors Research (851)

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

Authors of this article:

Jessica S Ancker1 Author Orcid Image ;   Holly O Witteman2, 3, 4 Author Orcid Image ;   Baria Hafeez1 Author Orcid Image ;   Thierry Provencher5 Author Orcid Image ;   Mary Van de Graaf1 Author Orcid Image ;   Esther Wei6 Author Orcid Image
Article Authors Cited by (180) Tweetations (150) Metrics

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  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
  135. Myin-Germeys I, Schick A, Ganslandt T, Hajdúk M, Heretik A, Van Hoyweghen I, Kiekens G, Koppe G, Marelli L, Nagyova I, Weermeijer J, Wensing M, Wolters M, Beames J, de Allegri M, di Folco S, Durstewitz D, Katreniaková Z, Lievevrouw E, Nguyen H, Pecenak J, Barne I, Bonnier R, Brenner M, Čavojská N, Dancik D, Kurilla A, Niebauer E, Sotomayor-Enriquez K, Schulte-Strathaus J, de Thurah L, Uyttebroek L, Schwannauer M, Reininghaus U. The experience sampling methodology as a digital clinical tool for more person-centered mental health care: an implementation research agenda. Psychological Medicine 2024;54(11):2785 View
  136. Colby H, Popovich D, Stovall T. How Much Information Is Too Much? An Experimental Examination of How Information Disclosures May Unintentionally Encourage the Withholding of Health Information. Medical Decision Making 2024;44(8):880 View
  137. Klein C, Hollmann K, Kühnhausen J, Alt A, Pascher A, Seizer L, Primbs J, Ilg W, Thierfelder A, Severitt B, Passon H, Wörz U, Lautenbacher H, Bethge W, Löchner J, Holderried M, Swoboda W, Kasneci E, Giese M, Ernst C, Barth G, Conzelmann A, Menth M, Gawrilow C, Renner T. Lessons learned from a multimodal sensor-based eHealth approach for treating pediatric obsessive-compulsive disorder. Frontiers in Digital Health 2024;6 View
  138. Corbett J, Rahman H, Peters A, Eastham M, Valdez R. Self-Management Tasks of Adult Patients with Phenylketonuria: Needs Assessment for a Food Tracking Application. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2019;63(1):787 View
  139. Boerner K, Dudarev V, Pearl-Dowler L, Wharton M, Siden H, Holsti L, Oberlander T. The Living Lab at Home: Feasibility and Acceptability of Multimodal In-Home Data Collection Among Youth Across the Developmental Spectrum. Journal of Developmental & Behavioral Pediatrics 2024 View
  140. Zehrung R, Reddy M, Chen Y. Transitioning Together: Collaborative Work in Adolescent Chronic Illness Management. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View
  141. Rajeshkumar L, Mishkind M, Coleman J, Pahwa M, LaPreze D, Solenske S, Wright J. Computer-assisted Cognitive Behavior Therapy and Mobile Apps for Depression and Anxiety: Evidence-based Digital Tools for Clinical Practice. Journal of Psychiatric Practice 2024 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