Implementing team-based primary care models: a mixed-methods comparative case study in a large, integrated health care system.
Implementing team-based primary care models: a mixed-methods comparative case study in a large, integrated health care system.
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实施基于团队的初级保健模式:大型综合医疗保健系统中的混合方法比较案例研究。
DOI:
10.1007/s11606-018-4611-7
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发表时间:
2018
影响因子:
5.7
通讯作者:
Stange,KurtC
中科院分区:
文献类型:
--
作者:
Misra-Hebert,AnitaD;Perzynski,Adam;Rothberg,MichaelB;Fox,Jaqueline;Mercer,MaryBeth;Liu,Xiaobo;Hu,Bo;Aron,DavidC;Stange,KurtC
BackgroundSuccessful implementation of new care models within a health system is likely dependent on contextual factors at the individual sites of care.ObjectiveTo identify practice setting components contributing to uptake of new team-based care models.DesignConvergent mixed-methods design.ParticipantsEmployees and patients of primary care practices implementing two team-based models in a large, integrated health system.Main measuresField observations of 9 practices and 75 interviews, provider and staff surveys to assess adaptive reserve and burnout, analysis of quality metrics, and patient panel comorbidity scores. The data were collected simultaneously, then merged, thematically analyzed, and interpreted by a multidisciplinary team.Key resultsBased on analysis of observations and interviews, the 9 practices were categorized into 3 groups—high, partial, and low uptake of new team-based models. Uptake was related to (1) practices’ responsiveness to change and (2) flexible workflow as related to team roles. Strength of local leadership and stable staffing mediated practices’ ability to achieve high performance in these two domains. Higher performance on several quality metrics was associated with high uptake practices compared to the lower uptake groups. Mean Adaptive Reserve Measure and Maslach Burnout Inventory scores did not differ significantly between higher and lower uptake practices.ConclusionUptake of new team-based care delivery models is related to practices’ ability to respond to change and to adapt team roles in workflow, influenced by both local leadership and stable staffing. Better performance on quality metrics may identify high uptake practices. Our findings can inform expectations for operational and policy leaders seeking to implement change in primary care practices.