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1.
BMC Health Serv Res ; 14: 538, 2014 Nov 20.
Artigo em Inglês | MEDLINE | ID: mdl-25411021

RESUMO

BACKGROUND: In many developing countries, initiatives are underway to strengthen voluntary community based health insurance as a means of expanding access to affordable care among the informal sector. However, increasing coverage with voluntary health insurance in low income settings can prove challenging. There are limited studies on determinants of enrolling in these schemes using mixed methods. This study aims to shed light on the characteristics of those joining a community health fund, a type of community based health insurance, in Tanzania and the reasons for their membership and subsequent drop out using mixed methods. METHODS: A cross sectional survey of households in four rural districts was conducted in 2008, covering a total of 1,225 (524 members of CHF and 701 non-insured) households and 7,959 individuals. In addition, 12 focus group discussions were carried out with CHF members, non-scheme members and members of health facility governing committees in two rural districts. Logistic regression was used to assess the determinants of CHF membership while thematic analysis was done to analyse qualitative data. RESULTS: The quantitative analysis revealed that the three middle income quintiles were more likely to enrol in the CHF than the poorest and the richest. CHF member households were more likely to be large, and headed by a male than uninsured households from the same areas. The qualitative data supported the finding that the poor rather than the poorest were more likely to join as were large families and of greater risk of illness, with disabilities or persons with chronic diseases. Households with elderly members or children under-five years were also more likely to enrol. Poor understanding of risk pooling deterred people from joining the scheme and was the main reason for not renewing membership. On the supply side, poor quality of public care services, the limited benefit package and a lack of provider choice were the main factors for low enrolment. CONCLUSIONS: Determinants of CHF membership are diverse and improving the quality of health services and expanding the benefit package should be prioritised to expand voluntary health insurance coverage.


Assuntos
Serviços de Saúde/economia , Serviços de Saúde/estatística & dados numéricos , Seguro Saúde/economia , Seguro Saúde/estatística & dados numéricos , Pobreza/economia , Pobreza/estatística & dados numéricos , Adulto , Idoso , Idoso de 80 Anos ou mais , Criança , Estudos Transversais , Países em Desenvolvimento/estatística & dados numéricos , Feminino , Grupos Focais , Humanos , Masculino , Pessoa de Meia-Idade , População Rural/estatística & dados numéricos , Fatores Socioeconômicos , Tanzânia
2.
Health Res Policy Syst ; 11: 21, 2013 Jun 13.
Artigo em Inglês | MEDLINE | ID: mdl-23763711

RESUMO

BACKGROUND: The National Health Insurance Fund (NHIF), a compulsory formal sector scheme took over the management of the Community Health Fund (CHF), a voluntary informal sector scheme, in 2009. This study assesses the origins of the reform, its effect on management and reporting structures, financial flow adequacy, reform communication and acceptability to key stakeholders, and initial progress towards universal coverage. METHODS: The study relied on national data sources and an in-depth collective case study of a rural and an urban district to assess awareness and acceptability of the reform, and fund availability and use relative to need in a sample of facilities. RESULTS: The reform was driven by a national desire to expand coverage and increase access to services. Despite initial delays, the CHF has been embedded within the NHIF organisational structure, bringing more intensive and qualified supervision closer to the district. National CHF membership has more than doubled. However, awareness of the reform was limited below the district level due to the reform's top-down nature. The reform was generally acceptable to key stakeholders, who expected that benefits between schemes would be harmonised.The reform was unable to institute changes to the CHF design or district management structures because it has so far been unable to change CHF legislation which also limits facility capacity to use CHF revenue. Further, revenue generated is currently insufficient to offset treatment and administration costs, and the reform did not improve the revenue to cost ratio. Administrative costs are also likely to have increased as a result of the reform. CONCLUSION: Informal sector schemes can benefit from merger with formal sector schemes through improved data systems, supervision, and management support. However, effects will be maximised if legal frameworks can be harmonised early on and a reduction in administrative costs is not guaranteed.


Assuntos
Serviços de Saúde Comunitária/economia , Programas Nacionais de Saúde/economia , Cobertura Universal do Seguro de Saúde/economia , Serviços de Saúde Comunitária/provisão & distribuição , Custo Compartilhado de Seguro/economia , Organização do Financiamento/economia , Organização do Financiamento/organização & administração , Reforma dos Serviços de Saúde , Gastos em Saúde , Política de Saúde/economia , Acessibilidade aos Serviços de Saúde/economia , Acessibilidade aos Serviços de Saúde/organização & administração , Administração de Serviços de Saúde/economia , Humanos , Programas Nacionais de Saúde/organização & administração , Satisfação Pessoal , Tanzânia , Cobertura Universal do Seguro de Saúde/organização & administração
3.
Lancet ; 380(9837): 126-33, 2012 Jul 14.
Artigo em Inglês | MEDLINE | ID: mdl-22591542

RESUMO

BACKGROUND: Universal coverage of health care is now receiving substantial worldwide and national attention, but debate continues on the best mix of financing mechanisms, especially to protect people outside the formal employment sector. Crucial issues are the equity implications of different financing mechanisms, and patterns of service use. We report a whole-system analysis--integrating both public and private sectors--of the equity of health-system financing and service use in Ghana, South Africa, and Tanzania. METHODS: We used primary and secondary data to calculate the progressivity of each health-care financing mechanism, catastrophic spending on health care, and the distribution of health-care benefits. We collected qualitative data to inform interpretation. FINDINGS: Overall health-care financing was progressive in all three countries, as were direct taxes. Indirect taxes were regressive in South Africa but progressive in Ghana and Tanzania. Out-of-pocket payments were regressive in all three countries. Health-insurance contributions by those outside the formal sector were regressive in both Ghana and Tanzania. The overall distribution of service benefits in all three countries favoured richer people, although the burden of illness was greater for lower-income groups. Access to needed, appropriate services was the biggest challenge to universal coverage in all three countries. INTERPRETATION: Analyses of the equity of financing and service use provide guidance on which financing mechanisms to expand, and especially raise questions over the appropriate financing mechanism for the health care of people outside the formal sector. Physical and financial barriers to service access must be addressed if universal coverage is to become a reality. FUNDING: European Union and International Development Research Centre.


Assuntos
Organização do Financiamento/economia , Acessibilidade aos Serviços de Saúde/economia , Cobertura Universal do Seguro de Saúde/economia , Financiamento Pessoal/economia , Gana , Gastos em Saúde/estatística & dados numéricos , Instalações de Saúde/economia , Instalações de Saúde/provisão & distribuição , Humanos , Renda , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , África do Sul , Tanzânia , Impostos/economia
4.
Health Policy Plan ; 27 Suppl 1: i46-54, 2012 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-22388500

RESUMO

In Ghana, Tanzania and South Africa, health care financing is progressive overall. However, out-of-pocket payments and health insurance for the informal sector are regressive. The distribution of health care benefits is generally pro-rich. This paper explores the factors influencing these distributions in the three countries. Qualitative data were collected through focus group discussions and in-depth interviews with insurance scheme members, the uninsured, health care providers and managers. Household surveys were also conducted in all countries. Flat-rate contributions contributed to the regressivity of informal sector voluntary schemes, either by design (in Tanzania) or due to difficulties in identifying household income levels (in Ghana). In all three countries, the regressivity of out-of-pocket payments is due to the incomplete enforcement of exemption and waiver policies, partial or no insurance cover among poorer segments of the population and limited understanding of entitlements among these groups. Generally, the pro-rich distribution of benefits is due to limited access to higher level facilities among poor and rural populations, who rely on public primary care facilities and private pharmacies. Barriers to accessing health care include medical and transport costs, exacerbated by the lack of comprehensive insurance coverage among poorer groups. Service availability problems, including frequent drug stock-outs, limited or no diagnostic equipment, unpredictable opening hours and insufficient skilled staff also limit service access. Poor staff attitudes and lack of confidence in the skills of health workers were found to be important barriers to access. Financing reforms should therefore not only consider how to generate funds for health care, but also explicitly address the full range of affordability, availability and acceptability barriers to access in order to achieve equitable financing and benefit incidence patterns.


Assuntos
Acessibilidade aos Serviços de Saúde , Disparidades em Assistência à Saúde , Financiamento da Assistência à Saúde , Financiamento Pessoal , Gana , Serviços de Saúde/estatística & dados numéricos , Acessibilidade aos Serviços de Saúde/economia , Acessibilidade aos Serviços de Saúde/organização & administração , Disparidades em Assistência à Saúde/economia , Cobertura do Seguro , Seguro Saúde , África do Sul , Tanzânia
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