Dataset Information

Provider payment in community-based health insurance schemes in developing countries: a systematic review.

ABSTRACT:

Objectives

Community-based health insurance (CBI) is a common mechanism to generate financial resources for health care in developing countries. We review for the first time provider payment methods used in CBI in developing countries and their impact on CBI performance.

Methods

We conducted a systematic review of the literature on provider payment methods used by CBI in developing countries published up to January 2010.

Results

Information on provider payment was available for a total of 32 CBI schemes in 34 reviewed publications: 17 schemes in South Asia, 10 in sub-Saharan Africa, 4 in East Asia and 1 in Latin America. Various types of provider payment were applied by the CBI schemes: 17 used fee-for-service, 12 used salaries, 9 applied a coverage ceiling, 7 used capitation and 6 applied a co-insurance. The evidence suggests that provider payment impacts CBI performance through provider participation and support for CBI, population enrolment and patient satisfaction with CBI, quantity and quality of services provided and provider and patient retention. Lack of provider participation in designing and choosing a CBI payment method can lead to reduced provider support for the scheme.

Conclusion

CBI schemes in developing countries have used a wide range of provider payment methods. The existing evidence suggests that payment methods are a key determinant of CBI performance and sustainability, but the strength of this evidence is limited since it is largely based on observational studies rather than on trials or on quasi-experimental research. According to the evidence, provider payment can affect provider participation, satisfaction and retention in CBI; the quantity and quality of services provided to CBI patients; patient demand of CBI services; and population enrollment, risk pooling and financial sustainability of CBI. CBI schemes should carefully consider how their current payment methods influence their performance, how changes in the methods could improve performance, and how such effects could be assessed with scientific rigour to increase the strength of evidence on this topic.

SUBMITTER: Robyn PJ

PROVIDER: S-EPMC3584992 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:Community-based health insurance (CBHI) has evolved as an alternative health financing mechanism to out of pocket payments in low- and middle-income countries (LMICs), particularly in areas where government or employer-based health insurance is minimal. This systematic review aimed to assess the barriers and facilitators to implementation, uptake and sustainability of CHBI schemes in LMICs. METHODS:We searched six electronic databases and grey literature. We included both quantitative and qualitative studies written in English language and published after year 1992. Two reviewers worked in duplicate and independently to complete study selection, data abstraction, and assessment of methodological features. We synthesized the findings based on thematic analysis and categorized according to the ecological model into individual, interpersonal, community and systems levels. RESULTS:Of 15,510 citations, 51 met the eligibility criteria. Individual factors included awareness and understanding of the concept of CBHI, trust in scheme and scheme managers, perceived service quality, and demographic characteristics, which influenced enrollment and sustainability. Interpersonal factors such as household dynamics, other family members enrolled in the scheme, and social solidarity influenced enrollment and renewal of membership. Community-level factors such as culture and community involvement in scheme development influenced enrollment and sustainability of scheme. Systems-level factors encompassed governance, financial and delivery arrangement. Government involvement, accountability of scheme management, and strong policymaker-implementer relation facilitated implementation and sustainability of scheme. Packages that covered outpatient and inpatient care and those tailored to community needs contributed to increased enrollment. Amount and timing of premium collection was reported to negatively influence enrollment while factors reported as threats to sustainability included facility bankruptcy, operating on small budgets, rising healthcare costs, small risk pool, irregular contributions, and overutilization of services. At the delivery level, accessibility of facilities, facility environment, and health personnel influenced enrollment, service utilization and dropout rates. CONCLUSION:There are a multitude of interrelated factors at the individual, interpersonal, community and systems levels that drive the implementation, uptake and sustainability of CBHI schemes. We discuss the implications of the findings at the policy and research level. TRIAL REGISTRATION:The review protocol is registered in PROSPERO International prospective register of systematic reviews (ID?=? CRD42015019812 ).

Project description:IntroductionThis research article reports on factors influencing initial voluntary uptake of community-based health insurance (CBHI) schemes in low- and middle-income countries (LMIC), and renewal decisions.MethodsFollowing PRISMA protocol, we conducted a comprehensive search of academic and gray literature, including academic databases in social science, economics and medical sciences (e.g., Econlit, Global health, Medline, Proquest) and other electronic resources (e.g., Eldis and Google scholar). Search strategies were developed using the thesaurus or index terms (e.g., MeSH) specific to the databases, combined with free text terms related to CBHI or health insurance. Searches were conducted from May 2013 to November 2013 in English, French, German, and Spanish. From the initial search yield of 15,770 hits, 54 relevant studies were retained for analysis of factors influencing enrolment and renewal decisions. The quantitative synthesis (informed by meta-analysis) and the qualitative analysis (informed by thematic synthesis) were compared to gain insight for an overall synthesis of findings/statements.ResultsMeta-analysis suggests that enrolments in CBHI were positively associated with household income, education and age of the household head (HHH), household size, female-headed household, married HHH and chronic illness episodes in the household. The thematic synthesis suggests the following factors as enablers for enrolment: (a) knowledge and understanding of insurance and CBHI, (b) quality of healthcare, (c) trust in scheme management. Factors found to be barriers to enrolment include: (a) inappropriate benefits package, (b) cultural beliefs, (c) affordability, (d) distance to healthcare facility, (e) lack of adequate legal and policy frameworks to support CBHI, and (f) stringent rules of some CBHI schemes. HHH education, household size and trust in the scheme management were positively associated with member renewal decisions. Other motivators were: (a) knowledge and understanding of insurance and CBHI, (b) healthcare quality, (c) trust in scheme management, and (d) receipt of an insurance payout the previous year. The barriers to renewal decisions were: (a) stringent rules of some CBHI schemes, (b) inadequate legal and policy frameworks to support CBHI and (c) inappropriate benefits package.Conclusion and policy implicationsThe demand-side factors positively affecting enrolment in CBHI include education, age, female household heads, and the socioeconomic status of households. Moreover, when individuals understand how their CBHI functions they are more likely to enroll and when people have a positive claims experience, they are more likely to renew. A higher prevalence of chronic conditions or the perception that healthcare is of good quality and nearby act as factors enhancing enrolment. The perception that services are distant or deficient leads to lower enrolments. The second insight is that trust in the scheme enables enrolment. Thirdly, clarity about the legal or policy framework acts as a factor influencing enrolments. This is significant, as it points to hitherto unpublished evidence that governments can effectively broaden their outreach to grassroots groups that are excluded from social protection by formulating supportive regulatory and policy provisions even if they cannot fund such schemes in full, by leveraging people's willingness to exercise voluntary and contributory enrolment in a community-based health insurance.

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Project description:BackgroundGhana introduced capitation payment method in 2012 but was faced with resistance from provider groups and civil society organizations for its perceived negative effects on quality care delivery. This study seeks to explore the views of providers to understand their preferred payment method for the various types of services they provide in order to inform the discussion and negotiations during this period of reform. Findings will not only aid the National Health Insurance Authority (NHIA) to improve the implementation arrangements but also provide useful inputs for other low and middle-income countries (LMICs) in their quest to reform their provider payment systems.Materials and methodsWe conducted a cross-sectional survey of 200 credentialed health care providers' in the three regions of Ghana on providers' preference for payment method. We administered closed-ended questionnaires employing 5-point Likert scales for measurement of payment method preference. Descriptive and regression analysis were performed to examine healthcare providers' background characteristics and their association with preferred payment method for primary care.ResultsIn general, health care providers prefer the Ghana-Diagnosis-Related Grouping (G-DRG) payment method to fee-for-service and capitation payment methods. Result of bivariate analyses showed that healthcare providers' preference for payment method for primary outpatient services differed significantly by their region of residence (p<0.001). The multinomial logic model showed that being a female (p = 0.013) or healthcare provider in the Volta region (p = 0.008) was significantly associated with health provider preference for G-DRG payment method relative to fee-for-service. Similarly, being a healthcare provider in the Volta region (p = 0.026) or Medical Assistant (p = 0.032) was significantly associated with capitation relative to fee-for-service payment method.ConclusionWe conclude that the most preferred payment method across all regions is the G-DRG. However, whereas providers in the Volta region are not willing to accept capitation as payment method, this was not the case in Ashanti and Central regions. Capitation payment method as an option for primary care services in Ghana should, therefore, not be ruled out of the discussion.

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Project description:BackgroundSeveral countries including Tanzania, have established voluntary non-profit insurance schemes, commonly known as community-based health insurance schemes (CBHIs), that typically target rural populations and the informal sector. This paper considers the importance of household perceptions towards CBHIs in Tanzania and their role in explaining the enrolment decision of households.MethodsThis was a cross-sectional household survey that involved 722 households located in Bahi and Chamwino districts in the Dodoma region. A three-stage sampling procedure was used, and the data were analyzed using both factor analysis (FA) and principal component analysis (PCA). Statistical tests such as Bartlett's test of sphericity, Kaiser-Meyer-Olkin (KMO) for sampling adequacy, and Cronbach's alpha test for internal consistency and scale reliability were performed to examine the suitability of the data for PCA and FA. Finally, multivariate logistic regressions were run to determine the associations between the identified factors and the insurance enrolment status.ResultsThe PCA identified seven perception factors while FA identified four factors. The quality of healthcare services, preferences (social beliefs), and accessibility to insurance scheme administration (convenience) were the most important factors identified by the two methods. Multivariate logistic regressions showed that the factors identified from the two methods differed somewhat in importance when considered as independent predictors of the enrollment status. The most important perception factors in terms of strength of association (odds ratio) and statistical significance were accessibility to insurance scheme administration (convenience), preferences (beliefs), and the quality of health care services. However, age and income were the only socio-demographic characteristics that were statistically significant.ConclusionHousehold perceptions were found to influence households' decisions to enroll in CBHIs. Policymakers should recognize and consider these perceptions when designing policies and programs that aim to increase the enrolment into CBHIs.

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