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1.
Clin Pract ; 12(4): 513-526, 2022 Jul 08.
Artigo em Inglês | MEDLINE | ID: mdl-35892441

RESUMO

(1) Background: Quality of life (QOL) is used as a health indicator to assess the effectiveness and impact of therapies in certain groups of patients. This study aimed to analyze the QOL of patients with acute coronary syndrome (ACS) who received medical treatment by a public or private health care system. (2) Methods: This observational, prospective, longitudinal study was carried out in four referral hospitals providing cardiology services in Sergipe, Brazil. QoL was evaluated using the Medical Outcomes Study 36-Item Short-Form Health Survey. The volunteers were divided into two groups (public or private health care group) according to the type of health care provided. Multiple linear regression models were used to evaluate QoL at 180 days after ACS. (3) Results: A total of 581 patients were eligible, including 44.1% and 55.9% for public and private health care, respectively. At 180 days after ACS, the public health care group had lower QoL scores for all domains (functional capacity, physical aspects, pain, general health status, vitality, social condition, emotional profile, and health) (p < 0.05) than the private group. The highest QoL level was associated with male sex (p < 0.05) and adherence to physical activity (p ≤ 0.003) for all assessed domains. (4) Conclusions: This shows that social factors and health status disparities influence QoL after ACS in Sergipe.

2.
Lancet Reg Health Am ; 13: 100311, 2022 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-35789692

RESUMO

Background: Data regarding the geographical distribution of cases and risk factors for COVID-19 death in children and adolescents are scarce. We describe the spatial distribution of COVID-19 cases and deaths in paediatric population and their association with social determinants of health in Brazil. Methods: This is a population-based ecological study with a spatial analysis of all cases and deaths due to COVID-19 in Brazil among children and adolescents aged 0-19 years from March 2020 to October 2021. The units of analysis were the 5570 municipalities. Data on COVID-19 cases and deaths, social vulnerability, health inequities, and health system capacity were obtained from publicly available databases. Municipalities were stratified from low to very high COVID-19 incidence and mortality using K-means clustering procedures, and spatial clusters and relative risks were estimated using spatial statistics with Poisson probability models. The relationship between COVID-19 estimates and social determinants of health was explored by using multivariate Beta regression techniques. Findings: A total of 33,991 COVID-19 cases and 2424 deaths among children and adolescents aged 0-19 years were recorded from March 2020 to October 2021. There was a spatial dependence for the crude mortality coefficient per 100,000 population in the paediatric population aged 0-19 years (I Moran 0·10; P < 0·001). Forty municipalities had higher mortality rates, of which 20 were in states from the Northeast region. Seven spatial clusters were identified for COVID-19 mortality, with four clusters in the Northeast region and three in the North region. Municipalities with higher social inequality and vulnerability had higher COVID-19 mortality in the paediatric population. Interpretation: The main clusters of risk for mortality among children and adolescents were identified in municipalities in the North and Northeast regions, which are the regions with the worst socioeconomic indicators and greatest health disparities in the country. Our findings confirmed the higher burden of COVID-19 for Brazilian paediatric population in municipalities with higher social inequality and vulnerability and worse socioeconomic indicators. To reduce the burden of COVID-19 on children, mass immunisation is necessary. Funding: None.

3.
Lancet Reg Health Am ; 3: 100076, 2021 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-34541570

RESUMO

BACKGROUND: Detailed information on how socio-economic characteristics are related to COVID-19 incident cases and maternal deaths is needed. We investigated the spatial distribution of COVID-19 cases and maternal deaths in Brazil and their association with social determinants of health. METHODS: This was a population-based ecological study with a spatial analysis of all cases and deaths of COVID-19 in the obstetric population. Data on COVID-19 cases and deaths in the obstetric population, social vulnerability, health inequities, and health system capacity at the municipal level were obtained from several publicly sources in Brazil. A Bayesian empirical local model was used to identify fluctuations of the indicators. Spatial statistic tests were used to identity the spatial clusters and measure the municipalities' risk of COVID-19 in the obstetric population. Beta regression was used to characterise the association between socio-economic indicators and the burden of COVID-19. FINDINGS: A total of 13,858 cases and 1,396 deaths due to COVID-19 were recorded in Brazil from March 2020 to June 2021. There was a variation in the number of cases per municipality, with 105 municipalities with rates from 2,210 to 3,884 cases and 45 municipalities with rates from 3,884 to 7,418 cases per 100,000 live births. The maternal mortality ratio also varied widely across municipalities. There was a spatial dependence on smoothed maternal mortality rates (I Moran 0•10; P = 0•010), and 15 municipalities had higher risk of maternal deaths. Municipalities characterized by lower health resources and higher socioeconomic inequalities presented the highest rates of incidence and maternal mortality by COVID-19. INTERPRETATION: In Brazil, COVID-19 cases and deaths in the obstetric population had a heterogeneous geographical distribution, with well-defined spatial clusters mostly located in the countryside. Municipalities with a high degree of socioeconomic dissimilarities showed higher maternal mortality rates than areas with better social and infrastructure indicators. FUNDING: None.

4.
Rev. Bras. Saúde Mater. Infant. (Online) ; 20(1): 129-135, Jan.-Mar. 2020. tab
Artigo em Inglês | Sec. Est. Saúde SP, LILACS | ID: biblio-1136410

RESUMO

Abstract Objectives: to analyze sociodemographic and obstetric factors that may influence the occurrence of low birth weight in the context of early pregnancy. Methods: the sample consisted of 232 pregnant teenagers, aged 10-19 years old, were assisted at a public maternity hospital in Aracaju-SE during the period of August 2012 to July 2016. The data collection was conducted through a structured questionnaire. Results: low birth weight was observed in 41.38% of the newborns and there was a statistical association between the educational level and the marital status with the occurrence of low birth weight in newborns among teenage mothers, with p=0.0286 and p=0.0247, respectively. Conclusions: the socioeconomic factors may contribute to the occurrence of low birth weight in newborns of teenage mothers and teenage pregnancy at this age represents a serious public health problem.


Resumo Objetivos: analisar os fatores sociodemográficos e obstétricos que podem influenciar na ocorrência do baixo peso ao nascer no contexto da gravidez precoce. Métodos: amostra constou de 232 adolescentes grávidas, na faixa etária de 10 a 19 anos, atendidas em uma maternidade pública de Aracaju-SE, Brasil, durante o período de agosto de 2012 a julho de 2016. A coleta de dados foi realizada através de um questionário estruturado. Resultados: observou-se baixo peso em 41,38% dos recém-nascidos e que o nível de escolaridade e o tipo de vínculo com o parceiro tiveram relevância estatística para a ocorrência do baixo peso em recém-nascidos de mães adolescentes, com p=0,0286 e p=0,0247, respectivamente. Conclusões: os fatores socioeconômicos podem contribuir para a ocorrência de baixo peso em recém-nascidos de mães adolescentese que a gravidez nesta faixa etária constitui grave problema de saúde pública de natureza multifatorial.


Assuntos
Humanos , Feminino , Gravidez , Criança , Adolescente , Adulto , Gravidez na Adolescência/estatística & dados numéricos , Gravidez não Desejada , Brasil/epidemiologia , Recém-Nascido de Baixo Peso , Fatores de Risco , Gravidez não Planejada , Fatores Socioeconômicos , Causalidade , Impacto Psicossocial
5.
Cien Saude Colet ; 23(8): 2763-2770, 2018 Aug.
Artigo em Português | MEDLINE | ID: mdl-30137145

RESUMO

Alarming data on the part of health care providers on the increase of the claim rate and its potential risk has emerged. It is a descriptive study, with the objective of understanding the changes in the healthcare provider sector in recent years, using the temporal analysis of historical series related to the sector. The variables selected for this study were the claim rate, the coverage rate, and the number of private healthcare providers in activity, observed from 2003 to 2014. The method used for evaluation of the temporal trend was Linear Regression. The claim rate and the coverage rate show an upward trend in the period, while the number of operators in Brazil showed a decreasing trend during the same period. These results show that even with the increase in demand, there was a decrease in the number of operators active in the country. The claim rate is one of the possible causes observed this inverse relationship because the increased offers risks of survival and the opening of new operators. Moreover, the decrease in the number of providers, is leading the country to an oligopolistic industry with an increasing demand in the number of beneficiaries. This decrease is also associated with regulatory processes, which regulates the sector's relationship with the beneficiary.


Dados alarmantes vêm surgindo por parte das operadoras de saúde sobre o aumento da sinistralidade e seu potencial risco. Estudo descritivo, com o objetivo de compreender as mudanças ocorridas no setor de saúde suplementar nos últimos anos, através da análise temporal de séries históricas relacionadas ao setor. As variáveis escolhidas para este trabalho foram a sinistralidade, a taxa de cobertura e o quantitativo de operadoras em atividade, observadas de 2003 a 2014. O método utilizado para a avaliação da tendência temporal foi a Regressão Linear. A sinistralidade e a taxa de cobertura apresentaram uma tendência de crescimento no período, enquanto a quantidade de operadoras no Brasil apresentou uma tendência de decrescimento no mesmo período. Esses resultados apontam que, mesmo com o aumento da demanda, houve uma diminuição do número de operadoras em atividade no país. A sinistralidade é uma das possíveis causas de observarmos essa relação inversa, pois o seu aumento oferece riscos à sobrevida e à abertura de novas operadoras. Ademais, a diminuição do número de operadoras está conduzindo o país a uma oligopolização do setor com uma demanda crescente do número de beneficiários. Essa diminuição pode estar também associada aos processos regulatórios que normatizam a relação do setor com o beneficiário.


Assuntos
Atenção à Saúde/estatística & dados numéricos , Setor de Assistência à Saúde/estatística & dados numéricos , Pessoal de Saúde/estatística & dados numéricos , Setor Privado/estatística & dados numéricos , Brasil , Atenção à Saúde/tendências , Setor de Assistência à Saúde/tendências , Pessoal de Saúde/tendências , Humanos , Modelos Lineares , Setor Privado/tendências
6.
Ciênc. Saúde Colet. (Impr.) ; 23(8): 2763-2770, Aug. 2018. tab, graf
Artigo em Português | LILACS | ID: biblio-952728

RESUMO

Resumo Dados alarmantes vêm surgindo por parte das operadoras de saúde sobre o aumento da sinistralidade e seu potencial risco. Estudo descritivo, com o objetivo de compreender as mudanças ocorridas no setor de saúde suplementar nos últimos anos, através da análise temporal de séries históricas relacionadas ao setor. As variáveis escolhidas para este trabalho foram a sinistralidade, a taxa de cobertura e o quantitativo de operadoras em atividade, observadas de 2003 a 2014. O método utilizado para a avaliação da tendência temporal foi a Regressão Linear. A sinistralidade e a taxa de cobertura apresentaram uma tendência de crescimento no período, enquanto a quantidade de operadoras no Brasil apresentou uma tendência de decrescimento no mesmo período. Esses resultados apontam que, mesmo com o aumento da demanda, houve uma diminuição do número de operadoras em atividade no país. A sinistralidade é uma das possíveis causas de observarmos essa relação inversa, pois o seu aumento oferece riscos à sobrevida e à abertura de novas operadoras. Ademais, a diminuição do número de operadoras está conduzindo o país a uma oligopolização do setor com uma demanda crescente do número de beneficiários. Essa diminuição pode estar também associada aos processos regulatórios que normatizam a relação do setor com o beneficiário.


Abstract Alarming data on the part of health care providers on the increase of the claim rate and its potential risk has emerged. It is a descriptive study, with the objective of understanding the changes in the healthcare provider sector in recent years, using the temporal analysis of historical series related to the sector. The variables selected for this study were the claim rate, the coverage rate, and the number of private healthcare providers in activity, observed from 2003 to 2014. The method used for evaluation of the temporal trend was Linear Regression. The claim rate and the coverage rate show an upward trend in the period, while the number of operators in Brazil showed a decreasing trend during the same period. These results show that even with the increase in demand, there was a decrease in the number of operators active in the country. The claim rate is one of the possible causes observed this inverse relationship because the increased offers risks of survival and the opening of new operators. Moreover, the decrease in the number of providers, is leading the country to an oligopolistic industry with an increasing demand in the number of beneficiaries. This decrease is also associated with regulatory processes, which regulates the sector's relationship with the beneficiary.


Assuntos
Humanos , Pessoal de Saúde/estatística & dados numéricos , Setor Privado/estatística & dados numéricos , Setor de Assistência à Saúde/estatística & dados numéricos , Atenção à Saúde/estatística & dados numéricos , Brasil , Modelos Lineares , Pessoal de Saúde/tendências , Setor Privado/tendências , Setor de Assistência à Saúde/tendências , Atenção à Saúde/tendências
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