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协作评分是否反映了不同患者群体在感知到的共同决策方面的差异?来自美国一项大规模患者体验调查的证据。

Do collaboRATE Scores Reflect Differences in Perceived Shared Decision-Making Across Diverse Patient Populations? Evidence From a Large-Scale Patient Experience Survey in the United States.

作者信息

Forcino Rachel C, Thygeson Marcus, O'Malley A James, Meinders Marjan J, Westert Gert P, Elwyn Glyn

机构信息

The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA.

Bind Benefits, Minneapolis, MN, USA.

出版信息

J Patient Exp. 2020 Oct;7(5):778-787. doi: 10.1177/2374373519891039. Epub 2019 Dec 1.

Abstract

Patient characteristics have been linked to prevalence and quality of shared decision-making (SDM) behaviors across diverse studies of varied size and focus. We aim to evaluate the extent to which patient characteristics are associated with patient-rated SDM scores as measured by RATE and whether or not RATE varies at the provider group level. We used the 2017 California Patient Assessment Survey data set, which included adult patients of 153 California-based medical groups receiving services between January and October 2016. Mixed-effects logistic regression evaluated relationships between RATE scores and patient characteristics. We analyzed 31 265 total survey responses. Among included covariates, patients' health status, race, primary language, and mode of survey response were significantly associated with RATE scores. Case-mix adjustment is common in healthcare quality measurement and can be useful in pay-for-performance systems. For those use cases, we recommend adjusting RATE scores by patients' age, health status, gender, race, and language spoken at home, and survey response mode. However, when case-mix adjustment is not required, we suggest highlighting observed disparities across diverse patient populations to improve attention to inequities in patient experience.

摘要

在各种规模和重点各异的研究中,患者特征已与共同决策(SDM)行为的患病率和质量相关联。我们旨在评估患者特征与通过RATE衡量的患者自评SDM得分之间的关联程度,以及RATE在医疗服务提供者群体层面是否存在差异。我们使用了2017年加利福尼亚患者评估调查数据集,该数据集包括2016年1月至10月期间接受服务的153个加利福尼亚医疗集团的成年患者。混合效应逻辑回归评估了RATE得分与患者特征之间的关系。我们分析了总共31265份调查回复。在纳入的协变量中,患者的健康状况、种族、主要语言和调查回复方式与RATE得分显著相关。病例组合调整在医疗质量测量中很常见,并且在绩效付费系统中可能有用。对于那些用例,我们建议根据患者的年龄、健康状况、性别、种族、在家中使用的语言以及调查回复方式对RATE得分进行调整。然而,当不需要病例组合调整时,我们建议突出不同患者群体中观察到的差异,以提高对患者体验不平等问题的关注。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5eac/7705838/f6fa98c55d37/10.1177_2374373519891039-fig1.jpg

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