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Identifying Practice Facilitation Delays and Barriers in Primary Care Quality Improvement
Jiancheng Ye1, Renwen Zhang1, Jennifer E Bannon1
1From the Feinberg School of Medicine, Northwestern University, Chicago, IL (JY, AAW); Center for Health Information Partnerships (CHiP), Institute of Public Health & Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (JY, JEB, TLW, ANK); Department of Communication Studies, Northwestern University, Evanston, IL (RZ); Division of Health and Biomedical Informatics, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University Chicago, IL (ANK, NDS); Division of General Internal Medicine and Geriatrics, Department of Medicine, Feinberg School of Medicine, Northwestern University Chicago, IL (TLW, ANK).
Objective:
Practice facilitation is an effective approach to implementing quality improvement (QI) interventions in practice-based research networks (PBRNs). Regular facilitator-practice interactions are necessary for successful facilitation, and missed engagements may hinder the process of practice improvement. This study employs a mixed-methods approach to characterize the dynamics of practice facilitation and examine facilitation delays and barriers, as well as their association with the achievement of QI program goals in a PBRN initiative.
Methods:
This study presents a secondary analysis of data from 226 primary care practices that participated in the Healthy Hearts in the Heartland (H3) initiative. We performed a time series analysis to identify delays in facilitation activities, and then qualitatively analyzed practice facilitators' notes (n = 4358) to uncover facilitation barriers. Finally, we assessed the relationship between delays, barriers, and QI intervention completion.
Results:
While most facilitation activities occurred at regular, practice-specific tempos, nearly all practices experienced at least 1 delay. Practices with more delays had lower QI intervention completion rates. Practices with more delays were more likely to have encountered barriers such as lack of time and staff, lack of staff engagement, technical issues, and staff turnover.
Discussion And Conclusion:
This study is the first to quantify irregular intervals between facilitation activities and demonstrate their negative association with project completion. The analytic method can be applied to identify at-risk practices and to accelerate timely interventions in future studies. Our delay detection algorithm could inform the design of a decision support system that notifies facilitators which practices may benefit from timely attention and resources.
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