46th NAPCRG annual meeting 2018

American Primary Care Research Group (NAPCRG) Annual Meeting | November 9-13, 2018

46th NAPCRG annual meeting 2018

Upcoming: American Primary Care Research Group (NAPCRG) Annual Meeting

Chicago, IL | November 9-13, 2018

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Is Burnout a Characteristic of Primary Care Practices?

Authors: Samuel Edwards, Miguel Marino, Leif Solberg

Findings: Practice membership has a moderate effect on individual reported burnout, and agreement among practice members on burnout level is adequate to support aggregation at the practice level, but substantial individual variation in burnout remains. Interventions to improve burnout should target practices as well as individuals within practices.


Implications of Staff Turnover on Primary Care Practice Engagement in Quality Improvement

Authors: Andrea Baron, Jennifer R. Hemler, Shannon M. Sweeney, Tanisha Tate Woodson, Allison Cuthel, Benjamin F. Crabtree, Debora Cohen

Findings: Turnover potentially presents major barriers to practices engaging in and sustaining QI initiatives.  Practice facilitators and interventionists should include efforts to assist practices in preventing or rapidly recovering from turnover so that practices are better able to focus on quality and improving care for patients.


(Dis)agreement between practice members in practices’ capability for implementing change

Authors: Bijal Balasubramanian, Steele Valenzuela, Miguel Marino, Rikki Ward, Leah Gordon, Leif Solberg, Bryan Weiner, William Miller, Benjamin Crabtree, Deborah Cohen

Findings: Mean AR was a stable measure of practice capability for change regardless of the role of the respondent; however, level of disagreement within practice on AR may be an important indicator of disharmony, limiting practice capability for implementing innovations.


R You Shiny: An Interactive Web-based Tool to Facilitate Real-Time Mixed-Methods Analysis

Authors: Steele Valenzuela, Rikki Ward, Miguel Marino, Deborah Cohen, Benjamin Crabtree, Rachel Springer, Leah Gordon, William Miller, Leif Solberg

Findings: The tool allowed the mixed-methods research team to interactively address AR data together by assessing varying response rates, individual- and practice-level characteristics, and psychometric properties in relation to the interview and fieldnote data. It transformed static image scatterplots into interactive “click-able” scatterplots, where each dot represented a practice. Upon clicking on a practice, the research team was able to review practice-level data. The tool allowed the team to: (1) engage with individually-tailored AR data visualizations to stimulate research questions based on qualitative insights; (2) identify practices from the qualitative dataset to triangulate findings from mixed-methods data sources; and (3) preliminarily explore research questions in real time rather than waiting for additional analysis.