TY - JOUR
T1 - Incorporating patient decision aids into standard clinical practice in an integrated delivery system
AU - Hsu, Clarissa
AU - Liss, David T.
AU - Westbrook, Emily O.
AU - Arterburn, David
N1 - Funding Information:
This research was made possible by grants from The Commonwealth Fund (Grant #20080479); The Informed Medical Decisions Foundation (Grant #0103); Group Health Foundation, and in-kind contributions from Health Dialog, Inc. The authors thank the decision aid implementation team: Marc Mora, MD; Chris Cable, MD; Karen Merrikin, JD; Tiffany Nelson, Stan Wanezek, and Charity McCollum; the Research Advisory Panel (Michael Von Korff, ScD; Douglas Conrad, PhD; Carolyn Watts, PhD; Michael Barry, MD; Richard Wexler, MD; and Jeffery N. Katz, MD); and the other Group Health Research Institute employees who helped collect data and develop this manuscript: Sylvia Hoffmeyer; Carol Cahill, MLS; Chris Tachibana, PhD; and Rebecca Hughes. We also thank all the Group Health clinical staff who made time to participate in the interviews and provide their feedback on this manuscript.
PY - 2013/1
Y1 - 2013/1
N2 - Background. Randomized controlled trials show that patient decision aids (DAs) can promote shared decision making and improve decision quality. Despite this evidence, integration of DAs into routine clinical practice has proceeded slowly. Objective. To identify factors that promote or impede integrating DAs into clinical practice in a large health care delivery system. Design. Mixed-methods case study. Setting and Patients. Group Health, an integrated health plan and care delivery system in Washington state. Intervention. The project was carried out in 6 specialty service lines using 12 video-based DAs for preference-sensitive conditions related to elective surgical procedures. Measurements. Process data, site visits, meeting observations, and in-depth interviews conducted with clinical staff, project staff, and health plan leaders in 2009 and 2010. Results. The project established systemwide and clinic-specific processes that facilitated the distribution of approximately 10,000 DAs over 2 years. Several factors were identified as important for success in this implementation, including strong support from senior leaders, establishing a system for previsit ordering and providing timely feedback to teams about distribution rates, engaging providers and staff in development of the implementation process, and finding ways to address concerns about conditions that were perceived as life-threatening and/or time sensitive. Limitations. Limitations included lack of data on patient perspectives, an implementation setting with salaried providers, and frontline provider interviews conducted in only selected service lines. Conclusions. With strong leadership, financial support, and a well-defined implementation strategy, 12 video-based DAs in 6 specialty service lines were integrated into routine practice over 2 years. Findings from this demonstration may advance the ability of other organizations to use DAs effectively and promote widespread adoption of shared decision making in routine patient care.
AB - Background. Randomized controlled trials show that patient decision aids (DAs) can promote shared decision making and improve decision quality. Despite this evidence, integration of DAs into routine clinical practice has proceeded slowly. Objective. To identify factors that promote or impede integrating DAs into clinical practice in a large health care delivery system. Design. Mixed-methods case study. Setting and Patients. Group Health, an integrated health plan and care delivery system in Washington state. Intervention. The project was carried out in 6 specialty service lines using 12 video-based DAs for preference-sensitive conditions related to elective surgical procedures. Measurements. Process data, site visits, meeting observations, and in-depth interviews conducted with clinical staff, project staff, and health plan leaders in 2009 and 2010. Results. The project established systemwide and clinic-specific processes that facilitated the distribution of approximately 10,000 DAs over 2 years. Several factors were identified as important for success in this implementation, including strong support from senior leaders, establishing a system for previsit ordering and providing timely feedback to teams about distribution rates, engaging providers and staff in development of the implementation process, and finding ways to address concerns about conditions that were perceived as life-threatening and/or time sensitive. Limitations. Limitations included lack of data on patient perspectives, an implementation setting with salaried providers, and frontline provider interviews conducted in only selected service lines. Conclusions. With strong leadership, financial support, and a well-defined implementation strategy, 12 video-based DAs in 6 specialty service lines were integrated into routine practice over 2 years. Findings from this demonstration may advance the ability of other organizations to use DAs effectively and promote widespread adoption of shared decision making in routine patient care.
KW - clinical research methodology
KW - decision aids
KW - decision aids - tools
KW - qualitative methods
KW - shared decision making
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U2 - 10.1177/0272989X12468615
DO - 10.1177/0272989X12468615
M3 - Article
C2 - 23300204
AN - SCOPUS:84872361766
VL - 33
SP - 85
EP - 97
JO - Medical Decision Making
JF - Medical Decision Making
SN - 0272-989X
IS - 1
ER -
