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一种基于注册的医疗保健成本和结果评估方法学方法。

A methodological approach for register-based evaluation of cost and outcomes in health care.

机构信息

National Institute for Health and Welfare, Centre for Health and Social Economics, Helsinki, Finland.

出版信息

Ann Med. 2011 Jun;43 Suppl 1:S4-13. doi: 10.3109/07853890.2011.586364.

Abstract

INTRODUCTION

In health care, measures of performance are needed at producer level for improving the treatment processes and at system level for steering purposes. In addition, measures that enable reliable comparisons of producers with respect to each other should encourage them to develop their treatment processes to attain better positioning in benchmarking.

METHODS

The main innovation of the Performance, Effectiveness, and Costs of Treatment episodes (PERFECT) project is to measure performance using existing linkable information available from registers within well-defined care episodes in a whole population. Finnish health care and related registers are used for constructing the disease-specific databases, with rich content on treatment processes and complete follow-up data.

RESULTS

The PERFECT project has developed numerous performance indicators that can be used to evaluate health policy actions as well as to create regional and hospital-level benchmarking data. In PERFECT, the idea is to eliminate individual-level variation from the performance indicators by using individual-level data and proper risk adjustment methods. The focus of our interest is in the variation at the producer or regional level.

CONCLUSIONS

Our experience shows that the utilization of population-level health care registers with an episode-of-care approach enables a continual system and producer-level performance measurement.

摘要

简介

在医疗保健领域,需要在生产者层面衡量绩效,以改善治疗过程;需要在系统层面衡量绩效,以指导决策。此外,还需要制定能够可靠比较生产者绩效的衡量标准,鼓励他们改进治疗过程,在基准比较中获得更好的定位。

方法

“治疗结果、疗效和成本的绩效评估(PERFECT)”项目的主要创新之处在于,利用整个人群中特定于疾病的明确界定的治疗期内现有可链接信息来衡量绩效。芬兰的医疗保健和相关登记处用于构建特定疾病的数据库,这些数据库包含丰富的治疗过程内容和完整的随访数据。

结果

PERFECT 项目已经开发了许多绩效指标,可用于评估卫生政策行动,以及创建区域和医院层面的基准数据。在 PERFECT 项目中,我们的想法是通过使用个体层面的数据和适当的风险调整方法,从绩效指标中消除个体层面的差异。我们关注的重点是生产者或区域层面的差异。

结论

我们的经验表明,利用基于治疗期的人群健康保健登记处,可以实现持续的系统和生产者层面的绩效衡量。

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