Marques Carla Adriana, Siqueira Marluce Mechelli de, Portugal Flávia Batista
Programa de Pós-Graduação em Enfermagem, Universidade Federal do Espírito Santo. Av. Marechal Campos 1468, Bonfim. 29047-105, Vitória, ES, Brasil.
Departamento de Enfermagem, Universidade Federal do Espírito Santo. Vitória, ES, Brasil.
Cien Saude Colet. 2020 Mar;25(3):891-900. doi: 10.1590/1413-81232020253.16162018. Epub 2018 Jul 1.
This article aims to analyze the completeness of the dengue fever notifications registered in a small municipality in Brazil, from 2007 to 2015. It involved a descriptive study with a quantitative approach, composed of the totality of records available in the National System of Notifiable Diseases. The absolute number and percentage of non-fulfillment of the key, mandatory and essential variables of the dengue notification forms were analyzed, and a score proposed by Romero e Cunha was used to assess the degree of non-completeness. The non-parametric linear correlation coefficient of Spearman (rs) was calculated, being preceded by the verification of the distribution of the data through the Kolmogorov Smirnov test. The proportion of information ignored was high for most of the variables and for some trends of non-completeness over the years were decreasing and statistically significant. The quality of the data was mostly classified as regular and very poor, making it imperative to establish strategies in the process of qualification of health teams that work in primary care, to raise awareness of the importance of quality in the registration of compulsory notifications.
本文旨在分析2007年至2015年巴西一个小市镇登记的登革热通报的完整性。这是一项采用定量方法的描述性研究，研究对象为国家法定传染病系统中的所有可用记录。分析了登革热通报表格中关键、强制性和基本变量未填写的绝对数量和百分比，并使用罗梅罗·埃·库尼亚提出的评分来评估不完整程度。计算了斯皮尔曼非参数线性相关系数（rs），在此之前通过柯尔莫哥洛夫-斯米尔诺夫检验验证数据分布。大多数变量的信息遗漏比例很高，多年来一些不完整趋势呈下降趋势且具有统计学意义。数据质量大多被归类为一般和非常差，因此必须在基层医疗工作的卫生团队资质认定过程中制定策略，提高对强制通报登记中质量重要性的认识。
