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衡量护理连续性:基于索赔方法的比较。

Measuring Care Continuity: A Comparison of Claims-based Methods.

作者信息

Pollack Craig E, Hussey Peter S, Rudin Robert S, Fox D Steven, Lai Julie, Schneider Eric C

机构信息

*Johns Hopkins School of Medicine †Johns Hopkins Bloomberg School of Public Health, Baltimore, MD ‡RAND Corporation, Santa Monica, CA §Division of General Medicine and Primary Care, Brigham and Women's Hospital ∥Harvard Medical School ¶Harvard School of Public Health, Boston, MA.

出版信息

Med Care. 2016 May;54(5):e30-4. doi: 10.1097/MLR.0000000000000018.

Abstract

BACKGROUND

Assessing care continuity is important in evaluating the impact of health care reform and changes to health care delivery. Multiple measures of care continuity have been developed for use with claims data.

OBJECTIVE

This study examined whether alternative continuity measures provide distinct assessments of coordination within predefined episodes of care.

RESEARCH DESIGN AND SUBJECTS

This was a retrospective cohort study using 2008-2009 claims files for a national 5% sample of beneficiaries with congestive heart failure, chronic obstructive pulmonary disease, and diabetes mellitus.

MEASURES

Correlations among 4 measures of care continuity-the Bice-Boxerman Continuity of Care Index, Herfindahl Index, usual provider of care, and Sequential Continuity of Care Index-were derived at the provider- and practice-levels.

RESULTS

Across the 3 conditions, results on 4 claims-based care coordination measures were highly correlated at the provider-level (Pearson correlation coefficient r=0.87-0.98) and practice-level (r=0.75-0.98). Correlation of the results was also high for the same measures between the provider- and practice-levels (r=0.65-0.92).

CONCLUSIONS

Claims-based care continuity measures are all highly correlated with one another within episodes of care.

摘要

背景

评估医疗连续性对于评估医疗改革的影响以及医疗服务提供方式的变化非常重要。已经开发了多种医疗连续性测量方法用于索赔数据。

目的

本研究检验了替代连续性测量方法是否能在预先定义的医疗事件中对协调性提供不同的评估。

研究设计与对象

这是一项回顾性队列研究,使用了2008 - 2009年索赔文件,样本为全国5%的充血性心力衰竭、慢性阻塞性肺疾病和糖尿病受益患者。

测量方法

在提供者和医疗机构层面得出了4种医疗连续性测量方法之间的相关性,这4种方法分别是比塞 - 博克斯曼医疗连续性指数、赫芬达尔指数、常规医疗提供者以及连续医疗连续性指数。

结果

在这3种疾病中,基于索赔的4种医疗协调测量方法在提供者层面(皮尔逊相关系数r = 0.87 - 0.98)和医疗机构层面(r = 0.75 - 0.98)的结果高度相关。相同测量方法在提供者层面和医疗机构层面之间的结果相关性也很高(r = 0.65 - 0.92)。

结论

基于索赔的医疗连续性测量方法在医疗事件中彼此之间都高度相关。

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