Configuration of Health Care Networks in the SUS: analysis based on primary and hospital care components.

This study seeks to point out the different configurations of Health Care Networks in primary care (AB) and Hospital Care (AH), dimensioned based on coverage, quality, and resolvability characteristics in health macro-regions. Cross-sectional study used the cluster analysis and segmented 103 macro-regions into different profiles of coverage, quality and resolubility: group 1 (high coverage/AB and medium/AH; low quality AB-AH with high resolubility); group 2 (high coverage/AB and low/AH; low quality AB-AH with medium resolubility) and group 3 (high coverage/AB and medium/AH; high quality AB-AH with high resolubility). Coverage in AB was classified as high for 100% of the Brazilian population and in AH low to 9.

National Program for the Evaluation of Health Services (PNASS) 2015-2016: an analysis on Brazil's hospitals.

Aim: The present work aims to evaluate the performance of hospitals participating on the National Program for the Evaluation of Health Services (Programa Nacional de Avaliação de Serviços de Saúde - PNASS, 2015-2016).

Methods: This is a descriptive cross-sectional quantitative study, which measured the performance of hospitals participating in the program, using data from the first PNASS 2015-2016 evaluation instrument. The processes evaluation questionnaire used in hospitals had 102 items, 17 criteria, grouped into four blocks or dimensions.

[Integration of primary care in the healthcare network: analysis of the components in the external evaluation of the PMAQ-AB].

This cross-sectional study examined the integration of primary care in the healthcare network of the Brazilian Unified National Health System (SUS), using the Gradual Response Model of Item Response Theory. Based on data from 17,202 teams that participated in the National Program for Access and Quality Improvement in Primary Care (PMAQ-AB, 2012), we measured gradients of integration to identify the teams' profile by level of integration. The results show that the items pertaining to matrix support measures (medical consultations, case discussions, shared clinical action, joint elaboration of therapeutic projects, permanent educational activities, work process discussions, interventions in the territory, and visits with primary care professionals) improved the performance of primary care teams.