Allyson L Varley1, Sunil Kripalani, Thomas Spain, Amanda S Mixon, Erin Acord, Russell Rothman, Heather M Limper. 1. Birmingham VA Medical Center, Birmingham, Alabama (Dr Varley); Division of Preventive Medicine, University of Alabama at Birmingham (Dr Varley); Department of Medicine (Drs Kripalani, Spain, Mixon, Rothman, and Limper) and MidSouth Practice Transformation Network (Drs Kripalani, Spain, Mixon, Rothman, and Limper and Ms Acord), Vanderbilt University Medical Center, Nashville, Tennessee.
Abstract
BACKGROUND AND OBJECTIVE: Success in choosing and implementing quality metrics, necessary in a value-based care model, depends on quality improvement (QI) capacity-the shared knowledge, understanding, and commitment to continuous improvement. We set out to explore factors influencing QI capacity among ambulatory care practices in the MidSouth Practice Transformation Network. METHODS: As part of network participation, 82 practices submitted a plan for implementing self-selected quality metrics. This plan asked practices to identify factors that would assist or impede successful implementation of interventions to meet metric targets. We used a qualitative thematic analysis approach to explore barriers and facilitators to developing QI capacity among ambulatory care practices. RESULTS: Recurrent facilitators included external change agents, protected time for QI, a framework for improvement, and infrastructure including electronic health record (EHR) capabilities. Frequent barriers included lack of QI knowledge, lack of time, frequent staff turnover, inadequate EHR capabilities, lack of an internal change agent, and a belief that performance was outside of the practice's control. CONCLUSION: These findings provide insight into factors influencing the adoption and implementation of QI metrics across a diverse group of ambulatory care practices and suggest that targeting the Inner Setting of practices may be an appropriate approach for developing practice-level QI capacity, which is necessary for success in a value-based care model.
BACKGROUND AND OBJECTIVE: Success in choosing and implementing quality metrics, necessary in a value-based care model, depends on quality improvement (QI) capacity-the shared knowledge, understanding, and commitment to continuous improvement. We set out to explore factors influencing QI capacity among ambulatory care practices in the MidSouth Practice Transformation Network. METHODS: As part of network participation, 82 practices submitted a plan for implementing self-selected quality metrics. This plan asked practices to identify factors that would assist or impede successful implementation of interventions to meet metric targets. We used a qualitative thematic analysis approach to explore barriers and facilitators to developing QI capacity among ambulatory care practices. RESULTS: Recurrent facilitators included external change agents, protected time for QI, a framework for improvement, and infrastructure including electronic health record (EHR) capabilities. Frequent barriers included lack of QI knowledge, lack of time, frequent staff turnover, inadequate EHR capabilities, lack of an internal change agent, and a belief that performance was outside of the practice's control. CONCLUSION: These findings provide insight into factors influencing the adoption and implementation of QI metrics across a diverse group of ambulatory care practices and suggest that targeting the Inner Setting of practices may be an appropriate approach for developing practice-level QI capacity, which is necessary for success in a value-based care model.
Authors: Laura J Damschroder; David C Aron; Rosalind E Keith; Susan R Kirsh; Jeffery A Alexander; Julie C Lowery Journal: Implement Sci Date: 2009-08-07 Impact factor: 7.327
Authors: Megan K Strother; Elizabeth C Robert; Jared G Cobb; Sumit Pruthi; Irene D Feurer Journal: AJR Am J Roentgenol Date: 2013-11 Impact factor: 3.959
Authors: Juliette F Spelman; Stephanie Peglow; Amy R Schwartz; Lucille Burgo-Black; Katelyn McNamara; William C Becker Journal: Pain Med Date: 2017-12-01 Impact factor: 3.750