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[健康信息系统评估中的数据质量维度及应用方法综述]

[Review of data quality dimensions and applied methods in the evaluation of health information systems].

作者信息

Lima Claudia Risso de Araujo, Schramm Joyce Mendes de Andrade, Coeli Claudia Medina, da Silva Márcia Elizabeth Marinho

机构信息

Ministério da Saúde, Rio de Janeiro, Brasil.

出版信息

Cad Saude Publica. 2009 Oct;25(10):2095-109. doi: 10.1590/s0102-311x2009001000002.

Abstract

In Brazil, quality monitoring of data from the various health information systems does not follow a regular evaluation plan. This paper reviews quality evaluation initiatives related to the Brazilian information systems, identifying the selected quality dimensions and the method employed. The SciELO and LILACS databases were searched, as were the bibliographical references from articles identified in the search. 375 articles were initially identified, leaving a final total of 78 after exclusions. The four most frequent dimensions in articles totaled approximately 90% of the analyses. The studies prioritized certain quality dimensions: reliability, validity, coverage, and completeness. Half of the studies were limited to data from Rio de Janeiro and São Paulo. The limited number of studies on some systems and their unequal distribution between regions of the country hinder a comprehensive quality assessment of Brazil's health information systems. The importance of accurate information highlights the need to implement a data management policy for health information systems in Brazil.

摘要

在巴西,对来自各种卫生信息系统的数据进行质量监测并未遵循常规评估计划。本文回顾了与巴西信息系统相关的质量评估举措,确定了所选的质量维度和采用的方法。检索了科学电子图书馆在线数据库(SciELO)和拉丁美洲及加勒比地区卫生科学文献数据库(LILACS)以及检索中识别出的文章的参考文献。最初识别出375篇文章,排除后最终共有78篇。文章中最常见的四个维度总计约占分析的90%。这些研究优先考虑了某些质量维度:可靠性、有效性、覆盖范围和完整性。一半的研究仅限于来自里约热内卢和圣保罗的数据。对一些系统的研究数量有限以及它们在该国各地区之间分布不均,阻碍了对巴西卫生信息系统进行全面的质量评估。准确信息的重要性凸显了在巴西实施卫生信息系统数据管理政策的必要性。

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