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医院绩效监测数据收集的成本:一项系统评价方案

The cost of data collection for performance monitoring in hospitals: protocol for a systematic review.

作者信息

Gannon Brenda, Jones Cheryl, Wakai Abel, O'Sullivan Ronan

机构信息

Centre for Health Economics, The University of Manchester, Oxford Road, M13 9PL Manchester, UK.

出版信息

Syst Rev. 2014 Jun 16;3:65. doi: 10.1186/2046-4053-3-65.

DOI:10.1186/2046-4053-3-65
PMID:24934212
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4065583/
Abstract

BACKGROUND

Key performance indicators (KPIs) are used to identify where organisational performance is meeting desired standards and where performance requires improvement. Valid and reliable KPIs depend on the availability of high-quality data, specifically, the relevant minimum data set (MDS; the core data identified as the minimum required to measure performance for a KPI) elements. However, the feasibility of collecting the relevant MDS elements is always a limitation of performance monitoring using KPIs. Preferably, data should be integrated into service delivery, and where additional data are required that are not currently collected as part of routine service delivery, there should be an economic evaluation to determine the cost of data collection. The aim of this systematic review is to synthesise the evidence base concerning the costs of data collection in hospitals for performance monitoring using KPIs, and to identify hospital data collection systems that have proven to be cost minimising.

METHODS/DESIGN: Electronic databases will be systematically searched for publications in English that examine the cost of data collection within a hospital context. The database searches will be supplemented by searching through citations and references. Screening of both titles and abstracts will be done by two independent reviewers. All disagreements will be resolved by an independent third reviewer. Data analysis will be completed and reported in a narrative review.

DISCUSSION

This review will cohere the evidence base regarding cost-minimising hospital data collections systems for performance monitoring and if these are associated with potential benefits for patients.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42014007450.

摘要

背景

关键绩效指标(KPI)用于确定组织绩效在何处达到预期标准以及何处需要改进。有效且可靠的KPI取决于高质量数据的可用性,具体而言,取决于相关的最小数据集(MDS;被确定为衡量KPI绩效所需的最低核心数据)要素。然而,收集相关MDS要素的可行性始终是使用KPI进行绩效监测的一个限制因素。理想情况下,数据应整合到服务提供过程中,对于当前作为常规服务提供的一部分未收集的额外数据,应进行经济评估以确定数据收集成本。本系统评价的目的是综合有关医院使用KPI进行绩效监测时数据收集成本的证据基础,并确定已被证明能将成本降至最低的医院数据收集系统。

方法/设计:将系统检索电子数据库,查找以英文发表的、在医院背景下研究数据收集成本的文献。通过查阅参考文献对数据库检索进行补充。由两名独立评审人员对标题和摘要进行筛选。所有分歧将由一名独立的第三方评审人员解决。数据分析将在叙述性综述中完成并报告。

讨论

本综述将整合有关用于绩效监测的成本最低的医院数据收集系统的证据基础,以及这些系统是否与对患者的潜在益处相关。

系统评价注册

PROSPERO CRD42014007450。

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引用本文的文献

1
A systematic review of the cost of data collection for performance monitoring in hospitals.医院绩效监测数据收集成本的系统评价。
Syst Rev. 2015 Apr 1;4:38. doi: 10.1186/s13643-015-0013-7.

本文引用的文献

1
Consolidated Health Economic Evaluation Reporting Standards (CHEERS) statement.一致性健康经济评估报告标准(CHEERS)声明。
Clin Ther. 2013 Apr;35(4):356-63. doi: 10.1016/j.clinthera.2013.03.003. Epub 2013 Mar 25.