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Citing this Article

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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
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  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
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  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
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  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
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  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
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  16. Maslen S, Lupton D. Enacting chronic illness with and through digital media: a feminist new materialist approach. Information, Communication & Society 2019;:1
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  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 2016;:ocw103
    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
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  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. Chen AT. 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
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  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. Piras EM. 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. Lupton D. 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
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  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. The Journal of Nervous and 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
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  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. Piras EM. 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. Lyall B. 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
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  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
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  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

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

  1. Grimm M, Lampert C, Wolf S. Handbuch der Gesundheitskommunikation. 2019. Chapter 4:43
    CrossRef
  2. Caldeira C, Chen Y. Perspectives on Human-Computer Interaction Research with Older People. 2019. Chapter 5:67
    CrossRef
  3. Grimm M, Lampert C, Wolf S. Handbuch Gesundheitskommunikation. 2018. Chapter 4-1:1
    CrossRef
  4. Chao W, Hass Z. Human Aspects of IT for the Aged Population. Healthy and Active Aging. 2020. Chapter 17:221
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  5. Shadbolt N, O’Hara K, De Roure D, Hall W. The Theory and Practice of Social Machines. 2019. Chapter 4:149
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