Using Patient-Generated Health Data From Mobile Technologies for Diabetes Self-Management Support: Provider Perspectives From an Academic Medical Center.
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Date
2014-05-30
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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
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Keywords
Client, Facility-based health worker, Community-based health worker, Access to information or data, Continuity of care, Feasibility, Diabetes, Chronic care, Treatment adherence, Disease management, SMS, Text