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Asthma in the Primary Care Setting

Adapting community based participatory research (CBPR) methods to the implementation of an asthma shared decision making intervention in ambulatory practices

, PhD, , PA-C, , MS, , MS, , MS, , PhD, , BA, , MD & , MD, PhD show all
Pages 380-390 | Received 12 Feb 2013, Accepted 12 Dec 2013, Published online: 24 Jan 2014
 

Abstract

Objective: Translating research findings into clinical practice is a major challenge to improve the quality of healthcare delivery. Shared decision making (SDM) has been shown to be effective and has not yet been widely adopted by health providers. This paper describes the participatory approach used to adapt and implement an evidence-based asthma SDM intervention into primary care practices. Methods: A participatory research approach was initiated through partnership development between practice staff and researchers. The collaborative team worked together to adapt and implement a SDM toolkit. Using the RE-AIM framework and qualitative analysis, we evaluated both the implementation of the intervention into clinical practice, and the level of partnership that was established. Analysis included the number of adopting clinics and providers, the patients’ perception of the SDM approach, and the number of clinics willing to sustain the intervention delivery after 1 year. Results: All six clinics and physician champions implemented the intervention using half-day dedicated asthma clinics while 16% of all providers within the practices have participated in the intervention. Themes from the focus groups included the importance of being part the development process, belief that the intervention would benefit patients, and concerns around sustainability and productivity. One year after initiation, 100% of clinics have sustained the intervention, and 90% of participating patients reported a shared decision experience. Conclusions: Use of a participatory research process was central to the successful implementation of a SDM intervention in multiple practices with diverse patient populations.

Acknowledgements

We would like to acknowledge Andrea Desantis, Cheryl Courtland, Preeti Matkins, Animita Saha, Shay Philips, Maria Serbert, Nick Wilkins, Kristen Wade, Lisa Hebert, and the other members of the implementation team for their assistance with this work.