Albuquerque Ana Coelho de, Cesse Eduarda Ângela Pessoa, Felisberto Eronildo, Samico Isabella Chagas, Frias Paulo Germano de
Instituto Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, Brasil.
Grupo de Estudos de Gestão e Avaliação em Saúde, Instituto de Medicina Integral Professor Fernando Figueira, Recife, Brasil.
Cad Saude Publica. 2019 Aug 12;35Suppl 2(Suppl 2):e00065218. doi: 10.1590/0102-311X00065218.
This study aimed to assess the performance of health surveillance regionalization with different levels of development in Brazil. A cross-sectional quantitative approach was used with data collected through a structured questionnaire, prepared on the basis of three study dimensions (Policy, Structure, and Organization), applied to 31 key actors in health surveillance in the selected Health Regions and municipalities. The measure of central tendency was mean score, and synthetic indices were obtained for each dimension and attribute. Three cutoff points were assigned to assess performance: values less than or equal to 4.99 were considered unsatisfactory; from 5.00 to 6.99, intermediate; and greater than or equal to 7.00, satisfactory. The study found that regionalization performance in health surveillance was only satisfactory in one region, intermediate in four, and unsatisfactory in one. Among the three dimensions, Policy and Organization showed the best performance and Structure showed the worst. In conclusion, in general, the higher the level of socioeconomic development and services supply, the better the performance in regionalization of health surveillance. The evaluation portrays the complexity of contexts in different regions of Brazil, thus contributing to understanding the dynamics of health surveillance regionalization in Brazil.
本研究旨在评估巴西不同发展水平地区健康监测区域化的成效。采用横断面定量研究方法，通过一份基于三个研究维度（政策、结构和组织）编制的结构化问卷收集数据，该问卷应用于选定健康区域和城市的31位健康监测关键行动者。集中趋势的度量指标为平均得分，并针对每个维度和属性得出综合指数。设定了三个临界点来评估成效：小于或等于4.99的值被视为不满意；5.00至6.99为中等；大于或等于7.00为满意。研究发现，健康监测区域化成效在一个地区为满意，四个地区为中等，一个地区为不满意。在这三个维度中，政策和组织表现最佳，结构表现最差。总之，一般而言，社会经济发展水平和服务供应越高，健康监测区域化成效越好。该评估描绘了巴西不同地区情况的复杂性，从而有助于理解巴西健康监测区域化的动态。
