Hospitalizations for cardiovascular diseases and the coverage by the family health strategy

Abstract

Objective: to verify the correlation between the rates of hospitalization for primary care-sensitive cardiovascular diseases and the coverage by the Family Health Strategy of residents of the State of Paraná, by regional health divisions, from 2000 to 2011. Method: ecological study developed from data of the Hospital Information System of the Brazilian Unified Health System (SUS) and the Department of Primary Care of the Ministry of Health. The rates of hospitalization for cardiovascular diseases were correlated with the annual coverage by the Family Health Strategy using Pearson's and Spearman's correlation coefficients. Result: there was a strong and negative correlation in the State of Paraná (r=-0.91; p <0.001) and in most regional health divisions, with the highest correlations observed in the Metropolitan and Toledo (r =-0.93; p<0.001) and Paranaguá (r=-0.92, p<0.001) regional health divisions. Conclusion: the results suggest that the increase in the coverage by the Family Health Strategy was an important factor for decrease in the hospitalizations for cardiovascular conditions among residents of the State of Paraná and in most regional health divisions. Other studies should be performed to analyze the factors and causes in regional health divisions where there was no correlation with increase in the Family Health Strategy.

Hospitalizations and hospital cost from cardiovascular diseases in Brazil

“…This information related to the costs of hospitalizations are usually obtained by DATASUS, a database where there is a high quantity of hospitalizations for CVDs, exceeding the average for other types of diseases and thus alerting SUS managers to develop health indicators to enable adoption of measures to reduce them [8,9].…”

Estratégia Saúde Da Família E Internações Por Condições Sensíveis À Atenção Primária: Uma Revisão Sistemática

“…Embora os diferentes trabalhos tenham apontado resultados semelhantes, ou seja, um decréscimo dessas internações coincidente com a maior cobertura da ESF, suas conclusões divergiram. Para Lentsck e Mathias, 14 o aumento da cobertura populacional pela ESF pode ter sido um fator importante para a diminuição das ICSAP cardiovasculares de sua população. Já Batista et al 15 trouxeram uma discussão interessante, após observarem que municípios próximos à capital e da região metropolitana apresentaram maiores taxas de internação, enquanto os de piores condições socioeconômicas, a menor taxa média.…”

“…Em síntese, houve uma distribuição igualitária dos estudos selecionados para esta revisão quanto às suas conclusões. Dos 20 trabalhos (n=20), 10 (n=10; 50,0%) concluíram que houve correlação inversa entre a cobertura da ESF e as taxas de ICSAP, ou seja, uma maior cobertura desta estratégia da atenção primária ou o acompanhamento regular pela ESF resultou em menores coeficientes por essas internações 3,5,7,11,13,14,17,20,22,23 , enquanto outros 10 trabalhos (n=10; 50,0%) não encontram a mesma relação ou essa relação não foi significativa. 2,4,8,12,15,16,18,19,21,24…”

Risk factors for developing cardiovascular disease in women

“…The authors attribute this reduction to PHC's expansion, covering more than 60% of the population, improving access to healthcare and the significant reduction for prevalence of smoking in Brazil, from 34.8% (1989) to 8.7% (2014). 1,3 But in our study region it is necessary to be attentive, a survey that assessed rates of hospitalization for cardiovascular disease sensitive to PHC and coverage of the FHS for residents in the State of Paraná, showed that in our region there was no significant reduction of hospitalizations, revealing little stability or falls in these rates, 26 indicating that even with greater coverage by the FHS there are still no improvements in the indicators, being needed a better performance of the nursing team and other health professionals with setting targets based on the Strategic Action Plan for Confronting the CNTD. 2 And further studies in order to identify likely factors and causes that have influenced the results, such as access and quality of service.…”