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1.
Braz. J. Psychiatry (São Paulo, 1999, Impr.) ; 41(5): 433-436, Sept.-Oct. 2019. tab
Article in English | LILACS | ID: biblio-1039109

ABSTRACT

Objective: To evaluate the association between social and health contextual variables, and between major depressive episodes (MDE) and suicidal thoughts in Brazilian adults. Methods: This population-based cross-sectional study used data from the 2013 National Health Survey (Pesquisa Nacional de Saúde). The Patient Health Questionnaire was used to evaluate the presence of MDE and suicidal thoughts. We used number of Family Health Strategy teams (FHS) per 20,000 state population, number of Psychosocial Care Centers (Centros de Atenção Psicossocial [CAPS]) per 1,000 state population, gross domestic product (GDP), and Gini index for each Brazilian state as contextual variables. Multilevel logistic regression models were used to calculate OR and the intraclass correlation coefficient (ICC). Results: Prevalence of MDE and suicidal thoughts was 4.1% (95%CI 3.8-4.4) and 3.8% (95%CI 3.5-4.1), respectively. Multilevel regression models showed an ICC of 1.1% for MDE (95%CI 0.5-2.3) and 1.3% for suicidal thoughts (95%CI 0.6-2.6). Neither GDP, Gini, FHS, or CAPS showed evidence of association with the outcomes. Conclusions: In general, contextual variables, within each Brazilian state, do not seem to affect the prevalence of MDE and suicidal thoughts.


Subject(s)
Humans , Male , Female , Adolescent , Adult , Aged , Young Adult , Depressive Disorder, Major/etiology , Depressive Disorder, Major/epidemiology , Suicidal Ideation , Socioeconomic Factors , Brazil/epidemiology , Logistic Models , Prevalence , Cross-Sectional Studies , Surveys and Questionnaires , Risk Factors , Health Surveys , Sex Distribution , Age Distribution , Multilevel Analysis , Middle Aged
2.
Cad. saúde colet., (Rio J.) ; 26(4): 453-461, out.-dez. 2018. tab
Article in Portuguese | LILACS | ID: biblio-984149

ABSTRACT

Resumo Introdução A gestão hospitalar é uma área complexa da administração, pois compreende um conjunto organizacional em que todos os setores são interdependentes e funcionam ao mesmo tempo. Um dos principais objetivos dessas organizações é proporcionar serviços de qualidade com os recursos disponíveis para a melhoria contínua da qualidade dos serviços por meio de aprimoramentos no ambiente. Objetivo Analisar a relação dos indicadores econômicos e financeiros com os índices de qualidade hospitalar. Método Estudo de caráter descritivo, documental e de abordagem quantitativa, baseada em hospitais do terceiro setor do Sul do país, com a utilização dos relatórios gerenciais, de enfermaria e de internação, para os indicadores de qualidade, e dos demonstrativos contábeis, para os indicadores financeiros. Para a análise, foram empregados testes de estatística univariada (descritiva e correlação de Pearson). Resultados A relação entre os índices demonstra a existência de correlação significativa entre os indicadores analisados, apresentando quais indicadores que devem ser observados pelo gestor hospitalar. Conclusão Considera-se que, quanto mais as entidades hospitalares prestarem um serviço de qualidade, maior será o retorno financeiro e, portanto, maiores serão os recursos para investimentos, no intuito de aprimorar a qualidade dos serviços.


Abstract Background Hospital management is a complex area of ​​administration since it has an organizational set where all sectors are interdependent and work at the same time. One of the main goals of these organizations is to provide quality services with the resources available to continuously improve the quality of services through improvements in the environment. Objective To analyze the relationship between economic and financial indicators with hospital quality indices. Method This is a descriptive, documentary and quantitative study based on the third sector hospitals in the south of the country. Management, nursing, and hospitalization reports are used for the quality indicators and the financial statements for the financial indicators. Univariate statistical tests (descriptive and Pearson correlation) were used for the analysis. Results The relationship between the indexes shows the existence of a significant correlation between the analyzed indicators, demonstrating which indicators should be observed by the hospital manager. Conclusion the more hospital entities providing a quality service, the greater the financial return, and therefore the greater the resources for investments to improve the quality of services.

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