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Citing this Article

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Published on 21.08.15 in Vol 17, No 8 (2015): August

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

Works citing "More Than Telemonitoring: Health Provider Use and Nonuse of Life-Log Data in Irritable Bowel Syndrome and Weight Management"

Chia-Fang Chung, Jonathan Cook, Elizabeth Bales, Jasmine Zia, Sean A Munson

J Med Internet Res 2015 (Aug 21); 17(8):e203 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.4364):

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

  1. Holtz B, Vasold K, Cotten S, Mackert M, Zhang M. Health Care Provider Perceptions of Consumer-Grade Devices and Apps for Tracking Health: A Pilot Study. JMIR mHealth and uHealth 2019;7(1):e9929
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  2. Otiono J, Olaosebikan M, Shaer O, Nov O, Ball MP. Understanding Users Information Needs and Collaborative Sensemaking of Microbiome Data. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1
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  3. Lee J, Kwon H. Redundancy Analysis and Elimination on Access Patterns of the Windows Applications Based on I/O Log Data. IEEE Access 2020;8:40640
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  4. Schroeder J, Karkar R, Murinova N, Fogarty J, Munson SA. Examining Opportunities for Goal-Directed Self-Tracking to Support Chronic Condition Management. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(4):1
    CrossRef
  5. Lordon RJ, Mikles SP, Kneale L, Evans HL, Munson SA, Backonja U, Lober WB. How patient-generated health data and patient-reported outcomes affect patient–clinician relationships: A systematic review. Health Informatics Journal 2020;26(4):2689
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  6. Grando A, Ivanova J, Hiestand M, Soni H, Murcko A, Saks M, Kaufman D, Whitfield MJ, Dye C, Chern D, Maupin J. Mental health professional perspectives on health data sharing: Mixed methods study. Health Informatics Journal 2020;26(3):2067
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  7. Korhonen O, Väyrynen K, Krautwald T, Bilby G, Broers HAT, Giunti G, Isomursu M. Data-Driven Personalization of a Physiotherapy Care Pathway: Case Study of Posture Scanning. JMIR Rehabilitation and Assistive Technologies 2020;7(2):e18508
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  8. Chung C, Wang Q, Schroeder J, Cole A, Zia J, Fogarty J, Munson SA. Identifying and Planning for Individualized Change. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(1):1
    CrossRef
  9. Jacob C, Sanchez-Vazquez A, Ivory C. Factors Impacting Clinicians’ Adoption of a Clinical Photo Documentation App and its Implications for Clinical Workflows and Quality of Care: Qualitative Case Study. JMIR mHealth and uHealth 2020;8(9):e20203
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  10. Bellei EA, Biduski D, Lisboa HRK, De Marchi ACB. Development and Assessment of a Mobile Health Application for Monitoring the Linkage Among Treatment Factors of Type 1 Diabetes Mellitus. Telemedicine and e-Health 2020;26(2):205
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  11. Summers C, Curtis K. Novel Digital Architecture of a “Low Carb Program” for Initiating and Maintaining Long-Term Sustainable Health-Promoting Behavior Change in Patients with Type 2 Diabetes. JMIR Diabetes 2020;5(1):e15030
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  12. Häikiö J, Yli-Kauhaluoma S, Pikkarainen M, Iivari M, Koivumäki T. Expectations to data: Perspectives of service providers and users of future health and wellness services. Health and Technology 2020;10(3):621
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  13. 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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  14. Kim Y, Lee B, Choe EK. Investigating data accessibility of personal health apps. Journal of the American Medical Informatics Association 2019;26(5):412
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  15. Jacob C, Sanchez-Vazquez A, Ivory C. Social, Organizational, and Technological Factors Impacting Clinicians’ Adoption of Mobile Health Tools: Systematic Literature Review. JMIR mHealth and uHealth 2020;8(2):e15935
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  16. Zia JK, Chung C, Schroeder J, Munson SA, Kientz JA, Fogarty J, Bales E, Schenk JM, Heitkemper MM. The feasibility, usability, and clinical utility of traditional paper food and symptom journals for patients with irritable bowel syndrome. Neurogastroenterology & Motility 2017;29(2)
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  17. Wang H, Gao Y, Ji L, Bai W. Soleus muscle H-reflex monitoring in endoscopic surgery under general anesthesia percutaneous interlaminar approach. Experimental and Therapeutic Medicine 2018;
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  18. Helsel BC, Williams JE, Lawson K, Liang J, Markowitz J. Telemedicine and Mobile Health Technology Are Effective in the Management of Digestive Diseases: A Systematic Review. Digestive Diseases and Sciences 2018;63(6):1392
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  19. Schroeder J, Karkar R, Fogarty J, Kientz JA, Munson SA, Kay M. A Patient-Centered Proposal for Bayesian Analysis of Self-Experiments for Health. Journal of Healthcare Informatics Research 2019;3(1):124
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  20. 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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  21. . Practice patterns of nurse practitioners related to weight management in primary care. Journal of the American Association of Nurse Practitioners 2019;31(4):236
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  22. Ng A, Reddy M, Zalta AK, Schueller SM. Veterans’ Perspectives on Fitbit Use in Treatment for Post-Traumatic Stress Disorder: An Interview Study. JMIR Mental Health 2018;5(2):e10415
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  23. Karkar R, Kocielnik R, Zhang X, Zia J, Ioannou GN, Munson SA, Fogarty J. Beacon. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;2(3):1
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  24. Zia J, Chung C, Xu K, Dong Y, Schenk J, Cain K, Munson S, Heitkemper M. Inter-Rater Reliability of Provider Interpretations of Irritable Bowel Syndrome Food and Symptom Journals. Journal of Clinical Medicine 2017;6(11):105
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  25. Hallgren KA, Bauer AM, Atkins DC. Digital technology and clinical decision making in depression treatment: Current findings and future opportunities. Depression and Anxiety 2017;34(6):494
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  26. Irfan Khan A, Gill A, Cott C, Hans PK, Steele Gray C. mHealth Tools for the Self-Management of Patients With Multimorbidity in Primary Care Settings: Pilot Study to Explore User Experience. JMIR mHealth and uHealth 2018;6(8):e171
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  27. Ng A, Kornfield R, Schueller SM, Zalta AK, Brennan M, Reddy M. Provider Perspectives on Integrating Sensor-Captured Patient-Generated Data in Mental Health Care. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1
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  28. Albrecht U, Afshar K, Illiger K, Becker S, Hartz T, Breil B, Wichelhaus D, von Jan U. Expectancy, usage and acceptance by general practitioners and patients: exploratory results from a study in the German outpatient sector. DIGITAL HEALTH 2017;3:205520761769513
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  29. Jones SL, Kelly R. Dealing With Information Overload in Multifaceted Personal Informatics Systems. Human–Computer Interaction 2018;33(1):1
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  30. Berry AB, Lim CY, Hartzler AL, Hirsch T, Ludman E, Wagner EH, Ralston JD. "It's good to know you're not a stranger every time". Proceedings of the ACM on Human-Computer Interaction 2017;1(CSCW):1
    CrossRef
  31. Gay V, Leijdekkers P. Bringing Health and Fitness Data Together for Connected Health Care: Mobile Apps as Enablers of Interoperability. Journal of Medical Internet Research 2015;17(11):e260
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  32. Munson SA, Schroeder J, Karkar R, Kientz JA, Chung C, Fogarty J. The Importance of Starting With Goals in N-of-1 Studies. Frontiers in Digital Health 2020;2
    CrossRef
  33. 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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  34. Schmalz O, Jacob C, Ammann J, Liss B, Iivanainen S, Kammermann M, Koivunen J, Klein A, Popescu RA. Digital Monitoring and Management of Patients With Advanced or Metastatic Non-Small Cell Lung Cancer Treated With Cancer Immunotherapy and Its Impact on Quality of Clinical Care: Interview and Survey Study Among Health Care Professionals and Patients. Journal of Medical Internet Research 2020;22(12):e18655
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  35. Bhat KS, Kumar N. Sociocultural Dimensions of Tracking Health and Taking Care. Proceedings of the ACM on Human-Computer Interaction 2020;4(CSCW2):1
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  36. Dunn MA, Kappus MR, Bloomer PM, Duarte-Rojo A, Josbeno DA, Jakicic JM. Wearables, Physical Activity, and Exercise Testing in Liver Disease. Seminars in Liver Disease 2021;41(02):128
    CrossRef
  37. Kumar D, Jeuris S, Bardram JE, Dragoni N. Mobile and Wearable Sensing Frameworks for mHealth Studies and Applications. ACM Transactions on Computing for Healthcare 2021;2(1):1
    CrossRef
  38. Pichon A, Schiffer K, Horan E, Massey B, Bakken S, Mamykina L, Elhadad N. Divided We Stand. Proceedings of the ACM on Human-Computer Interaction 2021;4(CSCW3):1
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  39. Luo Y, Oh CY, Jean BS, Choe EK. Interrelationships Between Patients’ Data Tracking Practices, Data Sharing Practices, and Health Literacy: Onsite Survey Study. Journal of Medical Internet Research 2020;22(12):e18937
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  40. Ozkaynak M, Valdez R, Hannah K, Woodhouse G, Klem P. Understanding Gaps Between Daily Living and Clinical Settings in Chronic Disease Management: Qualitative Study. Journal of Medical Internet Research 2021;23(2):e17590
    CrossRef
  41. 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
  42. Yoo DW, Ernala SK, Saket B, Weir D, Arenare E, Ali AF, Van Meter AR, Birnbaum ML, Abowd GD, De Choudhury M. Clinician Perspectives on Using Computational Mental Health Insights From Patients’ Social Media Activities: Design and Qualitative Evaluation of a Prototype. JMIR Mental Health 2021;8(11):e25455
    CrossRef
  43. Rüther DF, Sebode M, Lohse AW, Wernicke S, Böttinger E, Casar C, Braun F, Schramm C. Mobile app requirements for patients with rare liver diseases: A single center survey for the ERN RARE-LIVER‬‬‬. Clinics and Research in Hepatology and Gastroenterology 2021;45(6):101760
    CrossRef
  44. Papoutsaki A, So S, Kenderova G, Shapiro B, Epstein DA. Understanding Delivery of Collectively Built Protocols in an Online Health Community for Discontinuation of Psychiatric Drugs. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1
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  45. Kim J, Park M. A New Body Weight Lifelog Outliers Generation Method: Reflecting Characteristics of Body Weight Data. Applied Sciences 2022;12(9):4726
    CrossRef
  46. Su Z, He L, Jariwala SP, Zheng K, Chen Y. "What is Your Envisioned Future?": Toward Human-AI Enrichment in Data Work of Asthma Care. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1
    CrossRef
  47. Rutjes H, Willemsen MC, Feijt MA, IJsselsteijn WA. The Influence of Personal Health Data on the Health Coaching Process. Frontiers in Big Data 2022;5
    CrossRef
  48. Gligoric K, Ðordevic I, West R. Biased Bytes: On the Validity of Estimating Food Consumption from Digital Traces. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1
    CrossRef
  49. Raj S, Newman MW, Lee JM, Ackerman MS. Understanding Individual and Collaborative Problem-Solving with Patient-Generated Data. Proceedings of the ACM on Human-Computer Interaction 2017;1(CSCW):1
    CrossRef
  50. Seok JW, Kwon Y, Lee H. Feasibility and efficacy of TouchCare system using application for older adults living alone: a pilot pre-experimental study. BMC Geriatrics 2022;22(1)
    CrossRef
  51. 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
  52. Jung H, Kim Y, Lee J, Lee SI, Choe EK, Huang M. Envisioning the use of in-situ arm movement data in stroke rehabilitation: Stroke survivors’ and occupational therapists’ perspectives. PLOS ONE 2022;17(10):e0274142
    CrossRef
  53. 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
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  54. Abdolkhani R, Gray K, Borda A, DeSouza R. Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study. JMIR mHealth and uHealth 2023;11:e35917
    CrossRef
  55. Lee JGW, Lee K, Lee B, Choi S, Seo J, Choe EK. Personal Health Data Tracking by Blind and Low-Vision People: Survey Study. Journal of Medical Internet Research 2023;25:e43917
    CrossRef
  56. Gregory ME, Cao W, Rahurkar S, Jonnalagadda P, Stock JC, Ghazi SM, Reid E, Berk AL, Hebert C, Li L, Addison D. Exploring the Incorporation of a Novel Cardiotoxicity Mobile Health App Into Care of Patients With Cancer: Qualitative Study of Patient and Provider Perspectives. JMIR Cancer 2023;9:e46481
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  57. Cao W, Li L, Mathur P, Thompson J, Milks MW. A mobile health application for patients eligible for statin therapy: app development and qualitative feedback on design and usability. BMC Medical Informatics and Decision Making 2023;23(1)
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  58. 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
  59. Guardado-Medina S, Karampela M, Isomursu M, Grundstrom C. Patient-Generated Health Data from Consumer-Grade Devices: Are Healthcare Professionals Using it in the Clinic? A Systematic Review (Preprint). Journal of Medical Internet Research 2023;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.4364):

  1. 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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  2. Stephani V, Geissler A, Busse R. Kooperation und Integration – das unvollendete Projekt des Gesundheitssystems. 2017. Chapter 10:215
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  3. Tong H, Zhang M, Soleimaninejadian P, Zhang Q, Wu K, Liu Y, Ma S. Information Retrieval. 2018. Chapter 5:55
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  4. Choe EK, Klasnja P, Pratt W. Biomedical Informatics. 2021. Chapter 19:637
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  5. Nadarajah SG, Pedersen PW, Skovfoged MM, Ziadeh H, Knoche H. Pervasive Computing Technologies for Healthcare. 2023. Chapter 41:619
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