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Courtney R. Lyles

Researcher at University of California, San Francisco

Publications -  163
Citations -  4628

Courtney R. Lyles is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Health care & Medicine. The author has an hindex of 31, co-authored 134 publications receiving 3259 citations. Previous affiliations of Courtney R. Lyles include San Francisco General Hospital & University of Washington.

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Communication and Medication Refill Adherence: The Diabetes Study of Northern California

TL;DR: In this article, a cross-sectional analysis of 9377 patients in the Diabetes Study of Northern California (DISTANCE), a race-stratified, random sample of Kaiser Permanente survey respondents was conducted to investigate associations between patient communication ratings and cardiometabolic medication refill adherence.
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Usability of Commercially Available Mobile Applications for Diverse Patients

TL;DR: Investigation of existing mobile health applications for diabetes, depression, and caregiving found current tools are not consistently usable for diverse patients, andpp developers should employ participatory design strategies in order to have an impact on chronic conditions such as diabetes and depression.
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A Pilot Food Bank Intervention Featuring Diabetes-Appropriate Food Improved Glycemic Control Among Clients In Three States

TL;DR: A pilot study enrolled 687 food pantry clients with diabetes in three states in a six-month pilot intervention that provided them with diabetes-appropriate food, blood sugar monitoring, primary care referral, and self-management support and suggests a promising health promotion model for vulnerable populations.
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Barriers and Facilitators to Online Portal Use Among Patients and Caregivers in a Safety Net Health Care System: A Qualitative Study.

TL;DR: A strong need for training and support to assist vulnerable patients with portal registration and use, particularly those with limited health literacy is suggested.
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Selecting and Improving Quasi-Experimental Designs in Effectiveness and Implementation Research.

TL;DR: This work focuses here on commonly used QEDs (prepost designs with nonequivalent control groups, interrupted time series, and stepped-wedge designs) and discusses several variants that maximize internal and external validity at the design, execution and implementation, and analysis stages.