[Review of data quality dimensions and applied methods in the evaluation of health information systems].
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.
Lima
Claudia Risso de Araujo
CR
Ministério da Saúde, Rio de Janeiro, Brasil. crisso@datasus.gov.br
Schramm
Joyce Mendes de Andrade
JM
Coeli
Claudia Medina
CM
da Silva
Márcia Elizabeth Marinho
ME
D001938:Brazil; D003625:Data Collection / Q000592:standards*; D016208:Databases, Factual / Q000592:standards; D006302:Health Services Research / Q000592:standards*; D006801:Humans; D007256:Information Systems / Q000592:standards*; D015203:Reproducibility of Results