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从医生绩效数据中进行系统学习。

Systems Learning from Physician Performance Data.

作者信息

Parkerton Patricia H, Feldbau Gary A, Straley Hugh L

出版信息

Perm J. 2004 Spring;8(2):60-5. doi: 10.7812/TPP/04.958.

Abstract

CONTEXT

Data collected in 1998 on primary physician performance, including Health Plan Employer Data and Information Set (HEDIS) measures, were the basis of reports distributed quarterly to 194 primary care physicians at 25 medical centers in Group Health Cooperative. Here, we summarize results of research designed to assess reliability of measures of physician performance and to identify practice components which influence patient outcome. Various aspects of these results are published in Medical Care, The Journal of General Internal Medicine, and Family Medicine.

DESIGN

Summary of results from studies that used retrospective analysis of administrative data on physician performance measures and practice structures.

MAIN OUTCOME MEASURES

Twenty-three HEDIS measures of physician performance, both individual and grouped into aggregate measures: cancer screening, diabetic management, patient satisfaction, and ambulatory costs.

ANALYSIS

Bivariate and sequential sets of multiple regression models controlled for selected patient panel and physician characteristics.

RESULTS

Although individual HEDIS measures were reliable when used to assess physician performance, aggregated measures were more reliable. Physician continuity was not associated with patient outcome, but practice coordination (measured by shared practice, years of team tenure, and medical clinic size) was significantly associated with improvement in cancer screening, diabetic management, and patient satisfaction. Performance assessment of physicians with reduced appointment hours or part-time status was associated with improved cancer screening and diabetic management.

CONCLUSIONS

Assessing physician performance data on individuals yielded useful collective clinical practice information. Analyzing physician performance data collectively can identify effective primary care practice structures and processes and benefit patient care.

摘要

背景

1998年收集的关于初级医师绩效的数据,包括健康计划雇主数据与信息集(HEDIS)指标,是每季度分发给Group Health Cooperative的25个医疗中心的194名初级保健医师的报告依据。在此,我们总结了旨在评估医师绩效指标可靠性并确定影响患者预后的实践组成部分的研究结果。这些结果的各个方面发表在《医疗保健》《普通内科杂志》和《家庭医学》上。

设计

对医师绩效指标和实践结构的行政数据进行回顾性分析的研究结果总结。

主要结局指标

23项HEDIS医师绩效指标,包括个体指标以及汇总指标:癌症筛查、糖尿病管理、患者满意度和门诊费用。

分析

采用双变量和系列多元回归模型,对选定的患者群体和医师特征进行控制。

结果

尽管单独使用HEDIS指标评估医师绩效时是可靠的,但汇总指标更可靠。医师连续性与患者预后无关,但实践协调性(通过共享实践、团队任期年限和医疗诊所规模衡量)与癌症筛查、糖尿病管理和患者满意度的改善显著相关。对预约时间减少或兼职的医师进行绩效评估与癌症筛查和糖尿病管理的改善相关。

结论

评估个体医师绩效数据可产生有用的集体临床实践信息。集体分析医师绩效数据可识别有效的初级保健实践结构和流程,并使患者护理受益。

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本文引用的文献

2
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