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ABSTRACT OBJECTIVE To analyze the association between municipal rates of ambulatory care sensitive conditions (ACSC) hospitalization and the quality of primary health care (PHC), socioeconomic, and demographic variables and those related to local characteristics of the health system from 2010 to 2019. METHOD Ecological time series study in Brazilian municipalities analyzing the correlation of ACSC hospitalization rates with PHC quality measured by the three cycles of the Primary Care Access and Program for improving primary care access and quality (PMAQ-AB). The study included municipalities whose teams participated in 80% or more of at least two PMAQ-AB cycles. The correlation between standardized ACSC hospitalization rates and PHC quality and other variables was analyzed. Spearman’s test was used between the response variable and numerical explanatory variables. Generalized equations estimation was used as a multivariate model associating ACSC hospitalization rates with the other variables over the years. RESULTS A total of 3,500 municipalities were included in the models. The quality of PHC (PMAQ-AB score) showed an inverse association with the variation in ACSC hospitalization rates. Hospitalization rates fell by -2% per year every ten-point increase in the PMAQ-AB score, adjusted by the remaining variables. A one-unit increase in the beds per 1,000 inhabitants variable had an impact of approximately +6.4% on ACSC hospitalization rates. Regarding population size, larger municipalities had lower ACSC hospitalization rates. Increased PHC coverage and lower socioeconomic inequality were also associated with the reduction in hospitalizations. CONCLUSIONS The reduction in ACSC hospitalization rates over time was associated with an increase in the quality of PHC. It was also associated with a reduction in the number of hospital beds and municipalities with better socioeconomic indicators.

OBJECTIVE To analyze whether the level of institutional and matrix support is associated with better certification of primary healthcare teams.METHODS In this cross-sectional study, we evaluated two kinds of primary healthcare support – 14,489 teams received institutional support and 14,306 teams received matrix support. Logistic regression models were applied. In the institutional support model, the independent variable was “level of support” (as calculated by the sum of supporting activities for both modalities). In the matrix support model, in turn, the independent variables were the supporting activities. The multivariate analysis has considered variables with p < 0.20. The model was adjusted by the Hosmer-Lemeshow test.RESULTS The teams had institutional and matrix supporting activities (84.0% and 85.0%), respectively, with 55.0% of them performing between six and eight activities. For the institutional support, we have observed 1.96 and 3.77 chances for teams who had medium and high levels of support to have very good or good certification, respectively. For the matrix support, the chances of their having very good or good certification were 1.79 and 3.29, respectively. Regarding to the association between institutional support activities and the certification, the very good or good certification was positively associated with self-assessment (OR = 1.95), permanent education (OR = 1.43), shared evaluation (OR = 1.40), and supervision and evaluation of indicators (OR = 1.37). In regards to the matrix support, the very good or good certification was positively associated with permanent education (OR = 1.50), interventions in the territory (OR = 1.30), and discussion in the work processes (OR = 1.23).CONCLUSIONS In Brazil, supporting activities are being incorporated in primary healthcare, and there is an association between the level of support, both matrix and institutional, and the certification result.

ABSTRACT OBJECTIVE Analyze the quality of the National Program for Primary Care Access and Quality Improvement variables to evaluate the coordination of primary care. METHODS A cross-sectional study based on data from 17,202 primary care teams that participated in the National Program for Primary Care Access and Quality Improvement in 2012. Based on the Item Response Theory, Samejima’s Gradual Response Model was used to estimate the score related to the level of coordination. The Cronbach’s alpha and Spearman’ coefficients and the point-biserial correlation were used to analyze the internal consistency and the correlation between the items and between the items and the total score. We evaluated the assumptions of unidimensionality and local independence of the items. Cloud-type word charts aided in the interpretation of coordination levels. RESULTS The Program items with the greatest discrimination in coordination level were: telephone/Internet existence, institutional communication flows, and matrix support actions. The specialists’ contact frequency with the primary care and integrated electronic medical record required a greater level of coordination among the teams. The Cronbach’ alpha was 0.8018. The institutional communication flows and telephone/Internet items had a higher correlation with the total score. Coordination scores ranged from -2.67 (minimum) to 2.83 (maximum). More communication, information exchange, matrix support, health care in the territory and the domicile had a significant influence on the levels of coordination. CONCLUSIONS The ability to provide information and the frequency of contact among professionals are important elements for a comprehensive, continuous and high-quality care.

Valendo-se de um sistema de informações sobre hospitalizações no Município de Ribeirão Preto, SP (Brasil) foram estudadas as características clínico-epidemiológicas referidas dos pacientes internados, em 1986, por doenças cardíacas e vasculares-cerebrais (DCVC). De 43.499 hospitalizações ocorridas naquele ano, 4.673 foram ocasionadas por doenças cardíacas e vasculares-cerebrais. Utilizando a fonte de financiamento da internação como indicador do estrato social ao qual pertence o paciente, foram compostos 4 grupos de estudo: particulares, "outros", previdenciários e "não pagantes"; estes grupos apresentaram diferenças significativas quanto a coeficiente de internações por DCVC, média e mediana de idade na hospitalização, perfil ocupacional, duração da internação, freqüência dos sub-grupos diagnósticos, coeficientes de mortalidade e a idade média e mediana nos casos de óbitos. Estas diferenças foram atribuídas às disparidades sociais no nível de vida e condições de trabalho dos grupos estudados o que determina diferenças no adoecer, ser assistido e no morrer.The clinical and epidemiological characteristics of hospitalizations due to cardiac and cerebral-vascular diseases (CCVD - ICD 390 - 438), which occurred in 1986, were studied on the basis of data from an information system relating to medical care in the City of Ribeirão Preto, State of S. Paulo, Brazil. These causes accounted for 4,673 of the annual total of 43,449 hospital admissions. Using the sources of payment of the hospitalization as an indicator of the patients' social strata, the following four study groups were defined: private, social insurance, non-paying and "others". These groups showed significant differences in relation to the following variables: hospitalization rates due to CCVD, mean and median age at admission and time of death, occupation, average length of stay in the hospital, mortality rates and relative frequencies of specific sub-group diagnosis. These differences are attributed to inequalities in the standard of living and in the working conditions of the groups, which determine diverse patterns of disease, medical care and mortality.