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量化患者在医疗保健方面的体验在群体水平上的差异程度。

Quantifying Magnitude of Group-Level Differences in Patient Experiences with Health Care.

机构信息

RAND Corporation, Santa Monica, CA.

RAND Corporation, Pittsburgh, PA.

出版信息

Health Serv Res. 2018 Aug;53 Suppl 1(Suppl Suppl 1):3027-3051. doi: 10.1111/1475-6773.12828. Epub 2018 Feb 12.

Abstract

OBJECTIVE

Review approaches assessing magnitude of differences in patient experience scores between different providers.

DATA SOURCES

1990-2016 literature.

STUDY DESIGN

Systematic literature review.

DATA EXTRACTION METHODS

Of 812 articles mentioning "CAHPS," "patient experience," "patient satisfaction," "important(ce)," "difference," or "significance," we identified 79 possible articles, yielding 35 for data abstraction. We included 22 articles measuring magnitude of differences in patient experiences.

PRINCIPAL FINDINGS

We identified three main ways of estimating magnitude of differences in patient experience scores: (1) by distribution/range of patient experience variable, (2) against external anchor, and (3) comparing a difference in patient experience on one covariate to differences in patient experience on other covariates.

CONCLUSIONS

We suggest routine estimation of magnitude in patient experience research. More work is needed documenting magnitude of differences between providers to make patient experience data more interpretable and usable.

摘要

目的

回顾评估不同提供者之间患者体验评分差异程度的方法。

数据来源

1990 年至 2016 年文献。

研究设计

系统文献回顾。

数据提取方法

在提到“CAHPS”、“患者体验”、“患者满意度”、“重要性”、“差异”或“意义”的 812 篇文章中,我们确定了 79 篇可能的文章,得出 35 篇用于数据提取。我们纳入了 22 篇测量患者体验差异程度的文章。

主要发现

我们确定了三种估计患者体验评分差异程度的主要方法:(1)通过患者体验变量的分布/范围,(2)与外部基准进行比较,以及(3)将一个协变量上的患者体验差异与其他协变量上的患者体验差异进行比较。

结论

我们建议在患者体验研究中常规估计差异程度。需要进一步开展工作来记录提供者之间的差异程度,以使患者体验数据更具可解释性和可用性。

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