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1.
Glob Pediatr Health ; 10: 2333794X231159792, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-36922939

RESUMO

Background. The affordability of health care services by households within a country is determined by the health care financing methods used by her citizens. In accordance with World Health Organization (WHO), health services must be delivered equitably and without imposing financial hardship on the citizens. Aim. This study aimed to determine the pattern of households health care financing method and relate it to the social-background, economic implication and clinical outcome of care in pediatric emergency situations. Method: It is a cross-sectional descriptive study. Result. 210 children from different households were recruited. Majority (75.9%) of the children were aged 0 to 5 years, males (61.2%) and belonged to the low socio-economic status (95.7%). The overall median (IQR) cost of care, income and percentage of income spent on care were ₦10 700 (₦7580-₦19 700), ₦ 65000(₦38000-₦110 000) and 17.6% (7.1%-39.7%) respectively. Though 70 (34.8%) of the respondents were aware of health insurance scheme, only 12.8% were enrolled. There were significant differences in the households' health care financing methods with respect to the socioeconomic status (P = .010), paternal level of education (P < .001), maternal occupation (P = .020), paternal occupation (P = .030) and distribution of income (P < .001). Catastrophic spending was experienced by 67.4% of the household, all of whom paid via out-of-pocket payment (OOPP) (P < .001), catastrophic health spending (CHS) was significantly associated with death and discharge against medical advice (DAMA) (P = .023). All cases of mortality and 93% cases of DAMA occurred with paying out of pocket (OOP) (P = .168). Conclusion. health care services were majorly paid for OOP among households in this study and CHS are high among these households. Clinical and financial outcomes were worse when health care services were paid through OOP.

2.
An. Fac. Cienc. Méd. (Asunción) ; 54(3): 51-60, Dec. 2021.
Artigo em Espanhol | LILACS | ID: biblio-1352907

RESUMO

Introducción: Ante el COVID-19 se reorganizaron hospitales en el sistema de salud de Paraguay donde el financiamiento predominante es el gasto de bolsillo. Objetivos: Analizar el gasto de bolsillo en el hospital respiratorio integrado de Encarnación. Materiales y métodos: Estudio cuantitativo, observacional, descriptivo entre agosto 2020 y febrero 2021. Incluyó una muestra no aleatoria de 95 casos. Se aplicó una encuesta telefónica a un informante clave. Las variables dependientes fueron: gasto de bolsillo, razón gasto/ingreso y razón gasto/días de internación. Las independientes fueron: sexo, adulto mayor, ingreso a UTI, seguro médico y diagnóstico de COVID-19. El gasto excesivo se definió como mayor a 0,1 del ingreso y el catastrófico como mayor a 0,25 del ingreso. La asociación significativa se determinó mediante pruebas de Chi2 y Mann-Whitney (p<0,05). Resultados: El 97,8% tuvo gasto de bolsillo principalmente por medicamentos y descartables. El gasto total promedio fue 1,98 millones Gs, el gasto diario promedio 215,4 mil Gs y la razón gasto/ingreso 1,13. En cuidados intensivos el gasto total promedio fue 7,18 millones Gs (el máximo fue 18,41 millones Gs), el gasto diario promedio 666,8 mil Gs (el máximo fue 2,85 millones Gs diarios) y la razón gasto/ingreso 3,83. El gasto fue excesivo en el 87% de los casos y catastrófico en el 52% de los casos. El gasto se asoció significativamente con la edad mayor a 60 años, el haber ingresado a UTI y el diagnóstico de COVID-19, no así con el sexo ni con la tenencia de seguro. Conclusión: Los mecanismos de protección financiera fueron insuficientes para evitar gastos excesivos y catastróficos durante la hospitalización.


Introduction: Faced with COVID-19, hospitals were reorganized in the Paraguayan health system where the predominant financing is out-of-pocket expenses. Objectives: To analyze the out-of-pocket expenditure in the Encarnacion integrated respiratory hospital. Materials and methods: Quantitative, observational, descriptive study between August 2020 and February 2021. It included a non-random sample of 95 cases. A telephone survey was applied to a key informant. The dependent variables were: out-of-pocket expense, expense / income ratio, and expense / hospital days ratio. The independent ones were: sex, elderly, admission to ICU, medical insurance and diagnosis of COVID-19. Excessive spending was defined as greater than 0.1 of income and catastrophic as greater than 0.25 of income. The significant association was determined by Chi2 and Mann-Whitney tests (p <0.05). Results: 97.8% had out-of-pocket expenses mainly for medications and disposables. The average total expense was Gs 1.98 million, the average daily expense was Gs 215.4 thousand and the expense / income ratio was 1.13. In intensive care, the average total expenditure was 7.18 million Gs (the maximum was 18.41 million Gs), the average daily expenditure was 666.8 thousand Gs (the maximum was 2.85 million Gs per day) and the expense / income ratio 3.83. The expense was excessive in 87% of the cases and catastrophic in 52% of the cases. The expense was significantly associated with age over 60 years, having been admitted to the ICU and the diagnosis of COVID-19, not with sex or with insurance. Conclusion: The financial protection mechanisms were insufficient to avoid excessive and catastrophic expenses during hospitalization.


Assuntos
COVID-19 , Gastos em Saúde , Hospitais , Pessoas
3.
Trop Med Int Health ; 26(10): 1285-1295, 2021 10.
Artigo em Inglês | MEDLINE | ID: mdl-34181806

RESUMO

OBJECTIVES: This study explores population-level variation in different types of health insurance coverage in India. We aimed to estimate the extent to which contextual factors at community, district, and state levels may contribute to place-based inequalities in coverage after accounting for household-level socioeconomic factors. METHODS: We used data from the 2015-2016 National Family Health Survey in India, which provides the most recent and comprehensive information available on reports of different types of household health insurance coverage. We used multilevel regression models to estimate the relative contribution of different population levels to variation in coverage by national, state, and private health insurance schemes. RESULTS: Among 601,509 households in India, 29% reported having coverage in 2015-2016. Variation in each type of coverage existed between population levels before and after adjusting for differences in the distribution of household socioeconomic and demographic factors. For example, the state level accounted for 36% of variation in national scheme coverage and 41% of variation in state scheme coverage after adjusting for household characteristics. In contrast, the community level was the largest contextual source of variation in private insurance coverage (accounting for 24%). Each type of coverage was associated with higher socioeconomic status and urban location. CONCLUSIONS: Contextual factors at community, district, and state levels contribute to variation in household health insurance coverage even after accounting for socioeconomic and demographic factors. Opportunities exist to reduce disparities in coverage by focusing on drivers of place-based differences at multiple population levels. Future research should assess whether new insurance schemes exacerbate or reduce place-based disparities in coverage.


Assuntos
Seguro Saúde/economia , Seguro Saúde/estatística & dados numéricos , Fatores Socioeconômicos , Adulto , Idoso , Estudos Transversais , Características da Família , Feminino , Humanos , Índia/epidemiologia , Masculino , Pessoa de Meia-Idade , Modelos Econômicos , Fatores de Risco
4.
Global Health ; 13(1): 16, 2017 03 15.
Artigo em Inglês | MEDLINE | ID: mdl-28298226

RESUMO

BACKGROUND: The incidence of diabetes and tuberculosis co-morbidity is rising, yet little work has been done to understand potential implications for health systems, healthcare providers and individuals. Kyrgyzstan is a priority country for tuberculosis control and has a 5% prevalence of diabetes in adults, with many health system challenges for both conditions. METHODS: Patient exit interviews collected data on demographic and socio-economic characteristics, health spending and care seeking for people with diabetes, tuberculosis and both diabetes and tuberculosis. Qualitative data were collected through semi-structured interviews with healthcare workers involved in diabetes and tuberculosis care, to understand delivery of care and how providers view effectiveness of care. RESULTS: The experience of co-affected individuals within the health system is different than those just with tuberculosis or diabetes. Co-affected patients do not receive more care and also have different care for their tuberculosis than people with only tuberculosis. Very high levels of catastrophic spending are found among all groups despite these two conditions being included in the Kyrgyz state benefit package especially for medicines. CONCLUSIONS: This study highlights that different patterns of service provision by disease group are found. Although Kyrgyzstan has often been cited as an example in terms of health reforms and developing Primary Health Care, this study highlights the challenge of managing conditions that are viewed as "too complicated" for non-specialists and the impact this has on costs and management of individuals.


Assuntos
Diabetes Mellitus/epidemiologia , Pesquisas sobre Atenção à Saúde , Tuberculose/epidemiologia , Comorbidade , Efeitos Psicossociais da Doença , Diabetes Mellitus/economia , Diabetes Mellitus/terapia , Gastos em Saúde/estatística & dados numéricos , Pessoal de Saúde , Humanos , Quirguistão/epidemiologia , Prevalência , Tuberculose/economia , Tuberculose/terapia
5.
Int J Equity Health ; 15(1): 182, 2016 11 10.
Artigo em Inglês | MEDLINE | ID: mdl-27832821

RESUMO

BACKGROUND: Out-of-pocket expenditure to pay for health services could result in financial catastrophe. The purpose of this study was to identify the incidence and determinants of catastrophic out-of-pocket payments for healthcare in Colombia. The underlying hypotheses are that low-income and non-insured population in Colombia, and households living in isolated and high level of rurality regions, are more likely to incur catastrophic healthcare expenses. METHODS: This study used data from the Quality of Life National Survey conducted in Colombia in 2011. The presence of catastrophic healthcare spending was calculated using the methodology proposed by the World Health Organization in 2005. Households were classified as having catastrophic health spending when their out-of-pocket health payments were over 20 % of their payment capacity. All other households were classified as not having catastrophic health spending. A probit model was estimated aimed at determining what factors influence the probability of catastrophic healthcare spending. RESULTS: Study findings show that 9.6 % of Colombian households had catastrophic expenditure. The incidence was higher in households in the Pacífica and Atlántica regions, extended and nuclear families, households with children or elderly adults, located in rural areas, and not insured under the healthcare system. The ratio of household members who work seems to reduce the risk of catastrophic healthcare spending, but the occurrence of any in-patient event increases it. So, there is no statistical evidence for rejecting the hypotheses under study. CONCLUSIONS: Results indicate the importance of establishing intervention mechanisms in order to improve equity in access and payment for health care, protect vulnerable groups against financial risk, and, consequently, reduce the incidence of catastrophic healthcare spending. For this, it is essential to achieve universal health coverage through standardized and improved health services packages for vulnerable age groups and implement healthcare campaigns for households in rural areas where the incidence of out-of-pocket payments is higher.


Assuntos
Financiamento Pessoal/economia , Gastos em Saúde/estatística & dados numéricos , Disparidades em Assistência à Saúde , Seguro Saúde/estatística & dados numéricos , Pobreza/estatística & dados numéricos , Adulto , Idoso , Criança , Colômbia , Características da Família , Feminino , Serviços de Saúde/economia , Humanos , Incidência , Masculino , Qualidade de Vida , População Rural/estatística & dados numéricos , Cobertura Universal do Seguro de Saúde
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