The scope of this study was to review the literature on the methods used to assess the completeness of the data in health information systems. Searches were conducted in the Medline, SciELO and Lilacs databases using the key words "quality," "data quality," "quality of information" and "information systems." It included articles, dissertations and theses that assessed the fulfillment of variables. In the 19 studies reviewed, the epidemiological rationality systems were the most evaluated (90.5%). Studies on completeness are still scarce (one per year on average). Methods vary from isolated analysis to the evaluation of more than one dimension of quality. The term completeness is the word most used to characterize the fulfillment of variables. The Romero and Cunha score is the most frequent. The SIS databases and Datasus site were the sources and means of access to the most common data. Studies with data from the Southeast of Brazil were predominant. The indicators that measure the completeness vary from simple relative frequency to indices and synthesis-indicators. The heterogeneity of methods lacks standardization and dissemination of information to enable comparisons between the studies.

Abstract

The scope of this study was to evaluate the accuracy of the data recorded in the Hiperdia system assessed by geographical area, type of field and information consistency between related variables. It involved an observational, descriptive and cross-sectional investigation. The sample of 287 registration forms was randomly and proportionally obtained from the five health regions. Variables relating to blocks of registration and attendance data were selected using the percentage of inaccuracy as an indicator and classification was then made using the Romero and Cunha score (2007). The percentages between the health macro regions was compared using the chi-square test and the completion consistency was assessed using the Kappa coefficient. Of the 32 variables studied, 68.7% revealed good to excellent accuracy. In 62.5% of the variables, the accuracy of the data of the 2nd health macroregion was marked. The percentages of inaccuracy of mandatory data were higher than those for non-mandatory data. Although most of the variables revealed good usage conditions, greater involvement of managers and health professionals in the information production process is required in order to generate more accurate and reliable data.

Objetivo: Avaliar o nível de conhecimento nutricional e associação deste com o estado nutricional e o consumo alimentar de hipertensos e/ou diabéticos de uma Unidade Básica de Saúde de Maceió, Alagoas, Brasil. Métodos: Estudo transversal com amostra de indivíduos de idade entre 18 e 59 anos. Foram coletadas informações demográficas, socioeconômicas, antropométricas (índice de massa corporal; circunferência da cintura e; circunferência do pescoço), de estilo de vida, dietéticas e sobre o conhecimento nutricional. Os dados dietéticos foram coletados por meio do questionário de frequência de consumo de alimentar. O escore de conhecimento nutricional foi estratificado em “baixo conhecimento”, “conhecimento intermediário” e “conhecimento suficiente”. Realizou-se analise descritiva das variáveis e a associação entre o conhecimento nutricional geral, estado nutricional e, o consumo alimentar foi verificada através de análise de variâncias, teste de comparações múltiplas de TuKey e correlação de Pearson. Foi considerado significante p <0,05. As análises foram realizadas no software R. Resultados: Foram estudados 52 pacientes dos quais 73,1% eram do sexo feminino; 50% da classe econômica C2; 80,8% sedentários. 53,8% apresentaram obesidade, 82,7% adiposidade androide e 80,8% circunferência do pescoço elevada. O consumo de porções de legumes e verduras (1,78 porções) e laticínios (2,0 porções) foi abaixo do recomendado (3 porções). 76,9% dos indivíduos apresentaram conhecimento nutricional “intermediário”. Um maior conhecimento nutricional associou-se com a circunferência do pescoço dentro da normalidade e maior consumo de frutas, legumes e verduras. Conclusão: O maior conhecimento nutricional apresentou associação com perfil mais saudável na alimentação e no parâmetro antropométrico circunferência do pescoço.