Leaving no one behind? Social inclusion of health insurance in low- and middle-income countries: a systematic review.

BACKGROUND: One way to achieve universal health coverage (UHC) in low- and middle-income countries (LMIC) is the implementation of health insurance schemes. A robust and up to date overview of empirical evidence assessing and substantiating health equity impact of health insurance schemes among specific vulnerable populations in LMICs beyond the more common parameters, such as income level, is lacking. We fill this gap by conducting a systematic review of how social inclusion affects access to equitable health financing arrangements in LMIC. METHODS: We searched 11 databases to identify peer-reviewed studies published in English between January 1995 and January 2018 that addressed the enrolment and impact of health insurance in LMIC for the following vulnerable groups: female-headed households, children with special needs, older adults, youth, ethnic minorities, migrants, and those with a disability or chronic illness. We assessed health insurance enrolment patterns of these population groups and its impact on health care utilization, financial protection, health outcomes and quality of care. RESULTS: The comprehensive database search resulted in 44 studies, in which chronically ill were mostly reported (67%), followed by older adults (33%). Scarce and inconsistent evidence is available for individuals with disabilities, female-headed households, ethnic minorities and displaced populations, and no studies were yielded reporting on youth or children with special needs. Enrolment rates seemed higher among chronically ill and mixed or insufficient results are observed for the other groups. Most studies reporting on health care utilization found an increase in health care utilization for insured individuals with a disability or chronic illness and older adults. In general, health insurance schemes seemed to prevent catastrophic health expenditures to a certain extent. However, reimbursements rates were very low and vulnerable individuals had increased out of pocket payments. CONCLUSION: Despite a sizeable literature published on health insurance, there is a dearth of good quality evidence, especially on equity and the inclusion of specific vulnerable groups in LMIC. Evidence should be strengthened within health care reform to achieve UHC, by redefining and assessing vulnerability as a multidimensional process and the investigation of mechanisms that are more context specific.

Does a provider payment method affect membership retention in a health insurance scheme? a mixed method study of Ghana's capitation payment for primary care.

BACKGROUND: Ghana introduced a National Health Insurance Scheme (NHIS) in 2003 applying fee-for-service method for paying NHIS-credentialed health care providers. The National Health Insurance Authority (NHIA) later introduced diagnosis-related-grouping (DRG) payment to contain cost without much success. The NHIA then introduced capitation payment, a decision that attracted complaints of falling enrolment and renewal rates from stakeholders. This study was done to provide evidence on this trend to guide policy debate on the issue. METHODS: We applied mixed method design to the study. We did a trend analysis of NHIS membership data in Ashanti, Volta and Central regions to assess growth rate; performed independent-sample t-test to compare sample means of the three regions and analysed data from individual in-depth interviews to determine any relationship between capitation payment and subscribers' renewal decision. RESULTS: Results of new enrolment data analysis showed differences in mean growth rates between Ashanti (M = 30.15, SE 3.03) and Volta (M = 40.72, SE 3.10), p = 0.041; r = 0. 15; and between Ashanti and Central (M = 47.38, SE6.49) p = 0.043; r = 0. 42. Analysis of membership renewal data, however, showed no significant differences in mean growth rates between Ashanti (M = 65.47, SE 6.67) and Volta (M = 69.29, SE 5.04), p = 0.660; r = 0.03; and between Ashanti and Central (M = 50.51, SE 9.49), p = 0.233. Analysis of both new enrolment and renewal data also showed no significant differences in mean growth rates between Ashanti (M = - 13.76, SE 17.68) and Volta (M = 5.48, SE 5.50), p = 0.329; and between Ashanti and Central (M = - 6.47, SE 12.68), p = 0.746. However, capitation payment had some effect in Ashanti compared with Volta (r = 0. 12) and Central (r = 0. 14); but could not be sustained beyond 2012. Responses from the in-depth interviews did not also show that capitation payment is a key factor in subscribers' renewal decision. CONCLUSION: Capitation payment had a small but unsustainable effect on membership growth rate in the Ashanti region. Factors other than capitation payment may have played a more significant role in subscribers' enrolment and renewal decisions in the Ashanti region of Ghana.

Perception of quality health care delivery under capitation payment: a cross-sectional survey of health insurance subscribers and providers in Ghana.

BACKGROUND: Ghana introduced capitation payment method in 2012 but was faced with resistance for its perceived poor quality of care. This paper assesses National Health Insurance Scheme subscribers and care providers' perception of quality of care under the capitation payment method. METHODS: This is a cross-sectional survey of subscribers and care providers perception of quality of care in three administrative regions of Ghana using a 5-point Likert scale for the assessment based on a set of quality of care measures. We performed descriptive analysis to determine average perception of quality of care scores for each of the measures used. Bivariate and multivariate analyses were also performed to examine relationships between respondent's characteristics and their perception of quality of care. RESULTS: In general, subscribers expressed positive perception about the quality of care though subscribers in Ashanti were less positive compared to those in the Central region. A chi-square analysis, however, showed significant differences in subscribers' perception of quality of care by occupation (p = 0.002), region (p = 0.007) length of NHIS membership (p = 0.006), and age (p = 0.014). Multivariate logistic regression analysis also showed that different factors, other than region of residence, were significantly associated with perceived good quality of care. Analysis of health care providers' responses also showed significant differences in their perception of quality of care by region (p = 0.001). Multivariate logistic model showed that health care providers in the Volta region (OR = 0.14, 95% CI: 0.03-0.58) were significantly less likely to perceive quality of care as good compared to those in the Ashanti region. CONCLUSION: Subscribers and care providers across the three regions have relatively good perception of the quality of health care in general though subscribers in Ashanti were less positive than those in the Central region. It is, therefore, plausible that capitation payment may have influenced the relatively low perception of quality of care in the Ashanti region.

Can health insurance protect against out-of-pocket and catastrophic expenditures and also support poverty reduction? Evidence from Ghana's National Health Insurance Scheme.

BACKGROUND: Ghana since 2004, begun implementation of a National Health Insurance Scheme (NHIS) to minimize financial barriers to health care at point of use of service. Usually health insurance is expected to offer financial protection to households. This study aims to analyze the effect health insurance on household out-of-pocket expenditure (OOPE), catastrophic expenditure (CE) and poverty. METHODS: We conducted two repeated household surveys in two regions of Ghana in 2009 and 2011. We first analyzed the effect of OOPE on poverty by estimating poverty headcount before and after OOPE were incurred. We also employed probit models and use of instrumental variables to analyze the effect of health insurance on OOPE, CE and poverty. RESULTS: Our findings showed that between 7-18 % of insured households incurred CE as a result of OOPE whereas this was between 29-36 % for uninsured households. In addition, between 3-5 % of both insured and uninsured households fell into poverty due to OOPE. Our regression analyses revealed that health insurance enrolment reduced OOPE by 86 % and protected households against CE and poverty by 3.0 % and 7.5 % respectively. CONCLUSION: This study provides evidence that high OOPE leads to CE and poverty in Ghana but enrolment into the NHIS reduces OOPE, provides financial protection against CE and reduces poverty. These findings support the pro-poor policy objective of Ghana's National Health Insurance Scheme and holds relevance to other low and middle income countries implementing or aiming to implement insurance schemes.

Does capitation payment under national health insurance affect subscribers' trust in their primary care provider? a cross-sectional survey of insurance subscribers in Ghana.

BACKGROUND: Ghana introduced capitation payment for primary care in 2012 with the view to containing escalating claims expenditure. This shift in provider payment method raised issues about its potential impact on patient-provider trust relationship and insured-patients' trust in the Ghana National Health Insurance Scheme. This paper presents findings of a study that explored insured-patients' perception about, and attitude towards capitation payment in Ghana; and determined whether capitation payment affect insured-patients' trust in their preferred primary care provider and the National Health Insurance Scheme in general. METHODS: We adopted a survey design for the study. We administered closed-ended questionnaires to collect data from insurance card-bearing members aged 18 years and above. We performed both descriptive statistics to determine proportions of observations relating to the variables of interest and chi-square test statistics to determine differences within gender and setting. RESULTS: Sixty-nine per cent (69 %) out of 344 of respondents selected hospital level of care as their primary care provider. The two most important motivations for the choice of a provider were proximity in terms of geographical access (40 %) and perceived quality of care (38 %). Eighty-eight per cent (88 %) rated their trust in their provider as (very) high. Eighty-two per cent (82 %) actively selected their providers. Eighty-eight per cent (88 %) had no intention to switch provider. A majority (91 %) would renew their membership when it expires. Female respondents (91 %; n = 281) were more likely to renew their membership than males (87 %; n = 63). Notwithstanding capitation payment experience, 81 % of respondents would recommend to their peers to enrol with the NHIS with rural dwellers (87 %; n = 156) being more likely to do so than urban dwellers (76 %; n = 188). Almost all respondents (92 %) rated the NHIS as (very) good. CONCLUSION: Health Insurance subscribers in Ghana have high trust in their primary care provider giving them quality care under capitation payment despite their negative attitude towards capitation payment. They are guided by proximity and quality of care considerations in their choice of provider. The NHIA would, however, have to address itself to the negative perceptions about the capitation payment policy.

Community concepts of poverty: an application to premium exemptions in Ghana's National Health Insurance Scheme.

BACKGROUND: Poverty is multi dimensional. Beyond the quantitative and tangible issues related to inadequate income it also has equally important social, more intangible and difficult if not impossible to quantify dimensions. In 2009, we explored these social and relativist dimension of poverty in five communities in the South of Ghana with differing socio economic characteristics to inform the development and implementation of policies and programs to identify and target the poor for premium exemptions under Ghana's National Health Insurance Scheme. METHODS: We employed participatory wealth ranking (PWR) a qualitative tool for the exploration of community concepts, identification and ranking of households into socioeconomic groups. Key informants within the community ranked households into wealth categories after discussing in detail concepts and indicators of poverty. RESULTS: Community defined indicators of poverty covered themes related to type of employment, educational attainment of children, food availability, physical appearance, housing conditions, asset ownership, health seeking behavior, social exclusion and marginalization. The poverty indicators discussed shared commonalities but contrasted in the patterns of ranking per community. CONCLUSION: The in-depth nature of the PWR process precludes it from being used for identification of the poor on a large national scale in a program such as the NHIS. However, PWR can provide valuable qualitative input to enrich discussions, development and implementation of policies, programs and tools for large scale interventions and targeting of the poor for social welfare programs such as premium exemption for health care.

The impact of health insurance in Africa and Asia: a systematic review.

OBJECTIVE: To evaluate the impact of health insurance on resource mobilization, financial protection, service utilization, quality of care, social inclusion and community empowerment in low- and lower-middle-income countries in Africa and Asia. METHODS: A systematic search for randomized controlled trials, quasi-experimental and observational studies published before the end of 2011 was conducted in 20 literature databases, reference lists of relevant studies, web sites and the grey literature. Study quality was assessed with a quality grading protocol. FINDINGS: Inclusion criteria were met by 159 studies - 68 in Africa and 91 in Asia. Most African studies reported on community-based health insurance (CBHI) and were of relatively high quality; social health insurance (SHI) studies were mostly Asian and of medium quality. Only one Asian study dealt with private health insurance (PHI). Most studies were observational; four had randomized controls and 20 had a quasi-experimental design. Financial protection, utilization and social inclusion were far more common subjects than resource mobilization, quality of care or community empowerment. Strong evidence shows that CBHI and SHI improve service utilization and protect members financially by reducing their out-of-pocket expenditure, and that CBHI improves resource mobilization too. Weak evidence points to a positive effect of both SHI and CBHI on quality of care and social inclusion. The effect of SHI and CBHI on community empowerment is inconclusive. Findings for PHI are inconclusive in all domains because of insufficient studies. CONCLUSION: Health insurance offers some protection against the detrimental effects of user fees and a promising avenue towards universal health-care coverage.

Costs, equity, efficiency and feasibility of identifying the poor in Ghana's National Health Insurance Scheme: empirical analysis of various strategies.

OBJECTIVES: To analyse the costs and evaluate the equity, efficiency and feasibility of four strategies to identify poor households for premium exemptions in Ghana's National Health Insurance Scheme (NHIS): means testing (MT), proxy means testing (PMT), participatory wealth ranking (PWR) and geographic targeting (GT) in urban, rural and semi-urban settings in Ghana. METHODS: We conducted the study in 145-147 households per setting with MT as our gold standard strategy. We estimated total costs that included costs of household surveys and cost of premiums paid to the poor, efficiency (cost per poor person identified), equity (number of true poor excluded) and the administrative feasibility of implementation. RESULTS: The cost of exempting one poor individual ranged from US$15.87 to US$95.44; exclusion of the poor ranged between 0% and 73%. MT was most efficient and equitable in rural and urban settings with low-poverty incidence; GT was efficient and equitable in the semi-urban setting with high-poverty incidence. PMT and PWR were less equitable and inefficient although feasible in some settings. CONCLUSION: We recommend MT as optimal strategy in low-poverty urban and rural settings and GT as optimal strategy in high-poverty semi-urban setting. The study is relevant to other social and developmental programmes that require identification and exemptions of the poor in low-income countries.

A snapshot of the organization and provision of primary care in Turkey.

BACKGROUND: This WHO study aimed to support Turkey in its efforts to strengthen the primary care (PC) system by implementing the WHO Primary Care Evaluation Tool (PCET). This article provides an overview of the organization and provision of primary care in Turkey. METHODS: The WHO Primary Care Evaluation Tool was implemented in two provinces (Bolu and Eskisehir) in Turkey in 2007/08. The Tool consists of three parts: a national questionnaire concerning the organisation and financing of primary care; a questionnaire for family doctors; and a questionnaire for patients who visit a family health centre. RESULTS: Primary care has just recently become an official health policy priority with the introduction of a family medicine scheme. Although the supply of family doctors (FDs) has improved, they are geographically uneven distributed, and nationwide shortages of primary care staff remain. Coordination of care could be improved and quality control mechanisms were lacking. However, patients were very satisfied with the treatment by FDs. CONCLUSIONS: The study provides an overview of the current state of PC in Turkey for two provinces with newly introduced family medicine, by using a structured approach to evaluate the essential functions of PC, including governance, financing, resource generation, as well as the characteristics of a "good" service delivery system (as being accessible, comprehensive, coordinated and continuous).

Identification of poor households for premium exemptions in Ghana's National Health Insurance Scheme: empirical analysis of three strategies.

OBJECTIVES: To evaluate the effectiveness of three alternative strategies to identify poor households: means testing (MT), proxy means testing (PMT) and participatory wealth ranking (PWR) in urban, rural and semi-urban settings in Ghana. The primary motivation was to inform implementation of the National Health Insurance policy of premium exemptions for the poorest households. METHODS: Survey of 145-147 households per setting to collect data on consumption expenditure to estimate MT measures and of household assets to estimate PMT measures. We organized focus group discussions to derive PWR measures. We compared errors of inclusion and exclusion of PMT and PWR relative to MT, the latter being considered the gold standard measure to identify poor households. RESULTS: Compared to MT, the errors of exclusion and inclusion of PMT ranged between 0.46-0.63 and 0.21-0.36, respectively, and of PWR between 0.03-0.73 and 0.17-0.60, respectively, depending on the setting. CONCLUSION: Proxy means testing and PWR have considerable errors of exclusion and inclusion in comparison with MT. PWR is a subjective measure of poverty and has appeal because it reflects community's perceptions on poverty. However, as its definition of the poor varies across settings, its acceptability as a uniform strategy to identify the poor in Ghana may be questionable. PMT and MT are potential strategies to identify the poor, and their relative societal attractiveness should be judged in a broader economic analysis. This study also holds relevance to other programmes that require identification of the poor in low-income countries.

Provider preference for payment method under a national health insurance scheme: A survey of health insurance-credentialed health care providers in Ghana.

BACKGROUND: Ghana 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 METHODS: We 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. RESULTS: In 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. CONCLUSION: We 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.

Correction: Provider preference for payment method under a national health insurance scheme: A survey of health insurance-credentialed health care providers in Ghana.

[This corrects the article DOI: 10.1371/journal.pone.0221195.].

Effects of capitation payment on utilization and claims expenditure under National Health Insurance Scheme: a cross-sectional study of three regions in Ghana.

INTRODUCTION: Ghana introduced capitation payment under National Health Insurance Scheme (NHIS), beginning with pilot in the Ashanti region, in 2012 with a key objective of controlling utilization and related cost. This study sought to analyse utilization and claims expenditure data before and after introduction of capitation payment policy to understand whether the intended objective was achieved. METHODS: The study was cross-sectional, using a non-equivalent pre-test and post-test control group design. We did trend analysis, comparing utilization and claims expenditure data from three administrative regions of Ghana, one being an intervention region and two being control regions, over a 5-year period, 2010-2014. We performed multivariate analysis to determine differences in utilization and claims expenditure between the intervention and control regions, and a difference-in-differences analysis to determine the effect of capitation payment on utilization and claims expenditure in the intervention region. RESULTS: Findings indicate that growth in outpatient utilization and claims expenditure increased in the pre capitation period in all three regions but slowed in post capitation period in the intervention region. The linear regression analysis showed that there were significant differences in outpatient utilization (p = 0.0029) and claims expenditure (p = 0.0003) between the intervention and the control regions before implementation of the capitation payment. However, only claims expenditure showed significant difference (p = 0.0361) between the intervention and control regions after the introduction of capitation payment. A difference-in-differences analysis, however, showed that capitation payment had a significant negative effect on utilization only, in the Ashanti region (p < 0.007). Factors including availability of district hospitals and clinics were significant predictors of outpatient health care utilization. CONCLUSION: We conclude that outpatient utilization and related claims expenditure increased in both pre and post capitation periods, but the increase in post capitation period was at slower rate, suggesting that implementation of capitation payment yielded some positive results. Health policy makers in Ghana may, therefore, want to consider capitation a key provider payment method for primary outpatient care in order to control cost in health care delivery.

A narrative synthesis of illustrative evidence on effects of capitation payment for primary care: lessons for Ghana and other low/middle-income countries.

OBJECTIVE: To analyse and synthesize available international experiences and information on the motivation for, and effects of using capitation as provider payment method in country health systems and lessons and implications for low/middle-income countries. METHODS: We did narrative review and synthesis of the literature on the effects of capitation payment on primary care. RESULTS: Eleven articles were reviewed. Capitation payment encourages efficiency: drives down cost, serves as critical source of income for providers, promotes adherence to guidelines and policies, encourages providers to work better and give health education to patients. It, however, induces reduction in the quantity and quality of care provided and encourages skimming on inputs, underserving of patients in bad state of health, "dumping" of high risk patients and negatively affect patient-provider relationship. CONCLUSION: The illustrative evidence adduced from the review demonstrates that capitation payment in primary care can create positive incentives but could also elicit un-intended effects. However, due to differences in country context, policy makers in Ghana and other low/middle-income countries may only be guided by the illustrative evidence in their design of a context-specific capitation payment for primary care. FUNDING: Netherlands Fellowship Programme (NFP), Fellowship number: NFP-PhD.12/352.

Household perceptions and their implications for enrollment in the National Health Insurance Scheme in Ghana.

OBJECTIVE: This paper identifies, ranks and compares perceptions of insured and uninsured households in Ghana on health care providers (quality of care, service delivery adequacy, staff attitudes), health insurance schemes (price, benefits and convenience) and community attributes (health 'beliefs and attitudes' and peer pressure). In addition, it explores the association of these perceptions with household decisions to voluntarily enroll and remain in insurance schemes. METHODS: First, data from a household survey of 3301 households and 13,865 individuals were analysed using principal component analysis to evaluate respondents' perceptions. Second, percentages of maximum attainable scores were computed for each cluster of perception factors to rank them according to their relative importance. Third, a multinomial logistic regression was run to determine the association of identified perceptions on enrollment. RESULTS: Our study demonstrates that scheme factors have the strongest association with voluntary enrollment and retention decisions in the National Health Insurance Scheme (NHIS). Specifically these relate to benefits, convenience and price of NHIS. At the same time, while households had positive perceptions with regards to technical quality of care, benefits of NHIS, convenience of NHIS administration and had appropriate community health beliefs and attitudes, they were negative about the price of NHIS, provider attitudes and peer pressure. The uninsured were more negative than the insured about benefits, convenience and price of NHIS. CONCLUSIONS: Perceptions related to providers, schemes and community attributes play an important role, albeit to a varying extent in household decisions to voluntarily enroll and remain enrolled in insurance schemes. Scheme factors are of key importance. Policy makers need to recognize household perceptions as potential barriers or enablers to enrollment and invest in understanding them in their design of interventions to stimulate enrollment.

Equity aspects of the National Health Insurance Scheme in Ghana: Who is enrolling, who is not and why?

To improve equity in the provision of health care and provide risk protection to poor households, low-income countries are increasingly moving to social health insurance. Using data from a household survey of 3301 households conducted in 2009 this study aims to evaluate equity in enrollment in the National Health Insurance Scheme (NHIS) in Ghana and assess determinants of demand across socio-economic groups. Specifically by looking at how different predisposing (age, gender, education, occupation, family size, marital status, peer pressure and health beliefs etc) enabling (income, place of residence) need (health status) and social factors (perceptions) affect household decision to enrol and remain in the NHIS. Equity in enrollment is assessed by comparing enrollment between consumption quintiles. Determinants of enrolling in and dropping out from NHIS are assessed using a multinomial logit model after using PCA to evaluate respondent's perceptions relating to schemes, providers and community health 'beliefs and attitudes'. We find evidence of inequity in enrollment in the NHIS and significant differences in determinants of current and previous enrollment across socio-economic quintiles. Both current and previous enrollment is influenced by predisposing, enabling and social factors. There are, however, clear differences in determinants of enrollment between the rich and the poor. Policy makers need to recognize that extending enrollment will require recognition of all these complex factors in their design of interventions to stimulate enrollment.

Efficiency, equity and feasibility of strategies to identify the poor: an application to premium exemptions under National Health Insurance in Ghana.

OBJECTIVES: This paper outlines the potential strategies to identify the poor, and assesses their feasibility, efficiency and equity. Analyses are illustrated for the case of premium exemptions under National Health Insurance (NHI) in Ghana. METHODS: A literature search in Medline search was performed to identify strategies to identify the poor. Models were developed including information on demography and poverty, and costs and errors of in- and exclusion of these strategies in two regions in Ghana. RESULTS: Proxy means testing (PMT), participatory welfare ranking (PWR), and geographic targeting (GT) are potentially useful strategies to identify the poor, and vary in terms of their efficiency, equity and feasibility. Costs to exempt one poor individual range between US$11.63 and US$66.67, and strategies may exclude up to 25% of the poor. Feasibility of strategies is dependent on their aptness in rural/urban settings, and administrative capacity to implement. A decision framework summarizes the above information to guide policy making. CONCLUSIONS: We recommend PMT as an optimal strategy in relative low poverty incidence urbanized settings, PWR as an optimal strategy in relative low poverty incidence rural settings, and GT as an optimal strategy in high incidence poverty settings. This paper holds important lessons not only for NHI in Ghana but also for other countries implementing exemption policies.