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Nundy S, Lu CY, Hogan P, et al. Using Patient-Generated Health Data From Mobile Technologies for Diabetes Self-Management Support: Provider Perspectives From an Academic Medical Center. J Diabetes Sci Technol. 2014;8(1):74-82doi: 10.1177/1932296813511727.
Nundy, S., Lu, C. Y., Hogan, P., Mishra, A., & Peek, M. E. (2014). Using Patient-Generated Health Data From Mobile Technologies for Diabetes Self-Management Support: Provider Perspectives From an Academic Medical Center. Journal of diabetes science and technology, 8(1), 74-82. https://doi.org/10.1177/1932296813511727
Nundy, Shantanu, et al. "Using Patient-Generated Health Data From Mobile Technologies for Diabetes Self-Management Support: Provider Perspectives From an Academic Medical Center." Journal of diabetes science and technology vol. 8,1 (2014): 74-82. doi: https://doi.org/10.1177/1932296813511727
Nundy S, Lu CY, Hogan P, Mishra A, Peek ME. Using Patient-Generated Health Data From Mobile Technologies for Diabetes Self-Management Support: Provider Perspectives From an Academic Medical Center. J Diabetes Sci Technol. 2014 Jan;8(1):74-82. doi: 10.1177/1932296813511727. Epub 2014 Jan 01. PMID: 24876541; PMCID: PMC4454095.
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J Diabetes Sci Technol. 2014 Jan;8(1):74-82. doi: 10.1177/1932296813511727. Epub 2014 Jan 01.

Using Patient-Generated Health Data From Mobile Technologies for Diabetes Self-Management Support: Provider Perspectives From an Academic Medical Center.

Journal of diabetes science and technology

Shantanu Nundy, Chen-Yuan E Lu, Patrick Hogan, Anjuli Mishra, Monica E Peek

Affiliations

  1. Section of General Internal Medicine, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA Chicago Center for Diabetes Translation Research, University of Chicago, Chicago, IL, USA.
  2. University of Chicago Pritzker School of Medicine, Chicago, IL, USA.
  3. Section of General Internal Medicine, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA.
  4. Section of General Internal Medicine, Department of Medicine, University of Chicago Medical Center, Chicago, IL, USA Chicago Center for Diabetes Translation Research, University of Chicago, Chicago, IL, USA Center for Health and Social Sciences, University of Chicago, Chicago, IL, USA Center for the Study of Race, Politics and Culture, University of Chicago, Chicago, IL, USA [email protected].

PMID: 24876541 PMCID: PMC4454095 DOI: 10.1177/1932296813511727

Abstract

BACKGROUND: Mobile health and patient-generated health data are promising health IT tools for delivering self-management support in diabetes, but little is known about provider perspectives on how best to integrate these programs into routine care. We explored provider perceptions of a patient-generated health data report from a text-message-based diabetes self-management program. The report was designed to relay clinically relevant data obtained from participants' responses to self-assessment questions delivered over text message.

METHODS: Likert-type scale response surveys and in-depth interviews were conducted with primary care physicians and endocrinologists who pilot tested the patient-generated health data report in an actual clinical encounter. Interview guides were designed to assess providers' perceptions of the feasibility and utility of patient-generated health data in routine clinical practice. Interviews were audiotaped, transcribed, and analyzed using the constant comparative method.

RESULTS: Twelve providers successfully piloted the summary report in clinic. Although only a minority of providers felt the report changed the care they provided (3 of 12 or 25%), most were willing to use the summary report in a future clinical encounter (9 of 12 or 75%). Perceived benefits of patient-generated health data included agenda setting, assessment of self-care, and identification of patient barriers. Major themes discussed included patient selection, reliability of patient-generated health information, and integration into clinical workflow.

CONCLUSION: Providers perceived multiple benefits of patient-generated health data in overcoming common barriers to self-management support in clinical practice and found the summary report feasible and usable in a clinical context.

© 2014 Diabetes Technology Society.

Keywords: diabetes; electronic health record; electronic medical record; meaningful use; mobile health; mobile phone; patient-generated health data; self-management; self-management support; text messaging

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