Predictors of health insurance enrolment and wealth-related inequality in Nepal: evidence from Multiple Indicator Cluster Survey (MICS) 2019

User satisfaction with the National Health Insurance Program: A community-based survey from the Ilam district of Nepal

BACKGROUND

The Government of Nepal initiated a family-based National Health Insurance Program (NHIP) in April 2016, aiming to ensure universal health coverage (UHC) by enhancing access to and utilization of quality health services. However, NHIP, in its initial years of implementation, encountered challenges such as low population coverage, a high dropout rate, and concerns among the insured regarding the quality of healthcare services. There is a dearth of information regarding user satisfaction with the NHIP in Nepal. This study aimed to assess user satisfaction with NHIP at the household level in Nepal.

METHODS

We conducted a cross-sectional study among 347 households in the Ilam district using a multi-stage random sampling method. Face-to-face interviews were conducted with household heads enrolled in NHIP. A semi-structured questionnaire was used to collect the data. The multivariable logistic regression analysis was done to identify the predictors of satisfaction level.

RESULTS

Overall, 53.6% of the insured were satisfied with the NHIP, while 31.1% had comprehensive knowledge about the NHIP. Factors such as gender (AOR: 1.80, 95% CI: 1.08-3.00), distance to the first point of contact (AOR: 2.15, 95% CI: 1.24-3.74), waiting time (AOR: 2.02, 95% CI: 1.20-3.42), availability of diagnostic services (AOR: 1.90, 95% CI: 1.05-3.45), availability of prescribed medicine (AOR: 3.90, 95% CI: 1.97-7.69), perceived service quality (AOR: 2.20, 95% CI: 1.15-4.20), and the behavior of service providers (AOR: 3.48, 95% CI: 1.04-11.63) were significantly associated with user satisfaction.

CONCLUSION

The satisfaction level among NHIP users was deemed moderate. This study highlighted several factors, such as gender, distance to the first point of contact, waiting time, availability of diagnostic services and prescribed medicine, perceived service quality, and the behavior of service providers, as key determinants impacting user satisfaction. Recognizing the pivotal role of user satisfaction, health insurance stakeholders must prioritize it to ensure higher retention rates and coverage within NHIP.

A Comparative Analysis of Factors Influencing the Sustainability of the Abia State Health Insurance Agency: Insights From Rural-Urban Abia State

The goal of the Abia State Health Insurance Agency (ABSHIA) has been to increase coverage since its implementation. However, the sustainability of the scheme is crucial to continue providing affordable healthcare in the State. This study aimed to identify and compare factors that influence the sustainability of ABSHIA in rural-urban areas of Abia State. The study used a mixed-method cross-sectional design that involved collecting data through a questionnaire on enrollment, satisfaction, and willingness to renew membership. Key informant interviews and focus group discussions were also conducted to obtain qualitative data from healthcare providers and ward development committees. The collected data were analyzed using appropriate statistical tests. The results showed a higher enrollment in rural areas compared to urban areas, with no significant difference in satisfaction and willingness to renew membership between the 2 locations. The study also identified factors that positively influenced willingness to renew membership, but it was found that traveling a distance of 15 min or more decreased willingness to renew membership in urban Abia. Furthermore, poor health status was found to have a low influence on willingness to renew membership in rural Abia. Among other barriers to renewal, poor quality of care and, nonpayment of health workers' capitation was identified as significant factors. It is crucial to prioritize the sustainability of ABSHIA to achieve the sustainable development goal of health for all in the State.

Predictors of national health insurance membership among the poor with different education levels in Indonesia

BACKGROUND

Indonesia has made significant progress in expanding universal health coverage (UHC) through its National Health Insurance (NHI) mechanism. However, in the context of NHI implementation in Indonesia, socioeconomic disparities caused its subpopulations to have different literacy of NHI concepts and procedures, increasing the risk of healthcare access inequities. Hence, the study aimed to analyse the predictors of NHI membership among the poor with different education levels in Indonesia.

METHODS

This study used the secondary dataset of the nationwide survey "Abilities and Willingness to Pay, Fee, and Participant Satisfaction in implementing National Health Insurance in Indonesia in 2019" by The Ministry of Health of the Republic of Indonesia. The study population was the poor population in Indonesia and included a weighted sample of 18,514 poor people. The study used NHI membership as a dependent variable. Meanwhile, the study analysed seven independent variables: wealth, residence, age, gender, education, employment, and marital status. In the final step of the analysis, the study used binary logistic regression.

RESULTS

The results show that the NHI membership among the poor population tends to be higher among those who have higher education, live in urban areas, are older than 17 years old, are married and are wealthier. The poor population with higher education levels is more likely to become NHI members than those with lower education. Their residence, age, gender, employment, marital status, and wealth also predicted their NHI membership. Poor people with primary education are 1.454 times more likely to be NHI members than those without education (AOR 1.454; 95% CI 1.331-1.588). Meanwhile, those with secondary education are 1.478 times more likely to be NHI members than those with no education (AOR 1.478; 95% CI 1.309-1.668). Moreover, higher education is 1.724 times more likely to result in being an NHI member than no education (AOR 1.724; 95% CI 1.356-2.192).

CONCLUSION

Education level, residence, age, gender, employment, marital status, and wealth predict NHI membership among the poor population. Since significant differences exist in all of those predictors among the poor population with different education levels, our findings highlighted the importance of government investment in NHI, which must be supported with investment in the poor population's education.

Evaluation of the National Health Insurance Program of Nepal: are political promises translated into actions?

BACKGROUND

Despite political promise to reduce out-of-pocket (OOP) expenditure on healthcare through the National Health Insurance Program (NHIP) of Nepal, its implementation is challenging with low enrolment and high drop-out rates. Program performance can often be linked with political economy considerations and interests of stakeholders. This study aimed to develop an in-depth understanding of organizational and systemic challenges in implementing NHIP.

METHODS

We conducted a structured narrative review of available literature on the NHIP in Nepal. We analysed data using a political economy analysis for health financing reform framework. The findings were explained under six broad categories: interest groups, bureaucracy, budgets, leadership, beneficiary and external actors. In addition, we triangulated and further presented the literature review findings using expert opinions (views expressed in public forums).

RESULTS

Nepal has formulated acts, rules, regulations, and policies to implement NHIP. Under this program, the Health Insurance Board (HIB) is the purchaser of health services, and health facilities under the Ministry of Health and Population (MoHP) are the providers. The NHIP has been rolled out in all 77 districts. Several challenges have hindered the performance of NHIP at the policy and implementation levels. Challenges under interest groups included inadequate or delayed reimbursement and drop-out of hospitals in implementing the programme. Bureaucracy-related challenges were hegemony of provider over the purchaser, and inadequate staff (delay in the approval of organogram of HIB). There was inadequate monitoring of premium collection, and claim reimbursement was higher than collected premium. Challenges under leadership included high political commitments but weak translation into action, consideration of health insurance as poor return on investment, and intention of leaders to privatize the NHIP. Beneficiaries experienced compromised quality of care or lack of services when needed, high drop-out rates and low interest in renewal of premiums. External actors provided technical assistance in policy design but limited support in implementation.

CONCLUSIONS

Despite enabling a policy environment, the NHIP faced many challenges in implementation. There is an urgent need for institutional arrangements (e.g. digitalization of claims and reimbursement, endorsement of organogram of HIB and recruitment of staff), increased coverage of financial protection and service (increased benefit package and introduction of cost-sharing/co-payment model), legislative reforms (e.g. legal provision for cost-sharing mechanism, integration of fragmented schemes, tripartite agreement to reimburse claims and accreditation of health facilities to ensure quality healthcare), and leveraging technical support from the external actors. High levels of commitment and accountability among political leaders and bureaucrats are required to strengthen financial sustainability and implementation.

Occupational and geographical differentials in financial protection against healthcare out-of-pocket payments in Nepal: Evidence for universal health coverage

BACKGROUND

The low-and middle-income countries, including Nepal, aim to address the financial hardship against healthcare out-of-pocket (OOP) payments through various health financing reforms, for example, risk-pooling arrangements that cover different occupations. World Health Organization (WHO) has recommended member states to establish pooling arrangements so that the financial risks owing to health uncertainty can be spread across population. This study aims to analyse the situation of financial protection across occupations and geography using nationally representative annual household survey (AHS) in Nepal.

METHODS

We measured catastrophic health expenditure (CHE) due to OOP using two popular approaches-budget share and capacity-to-pay, and impoverishment impact at absolute and relative poverty lines. This study is the first of its kind from south-east Asia to analyse disaggregated estimates of financial protection across occupations and geography. The inequality in financial risk protection was measured using concentration index. Data were extracted from AHS 2014-15 -a cross-sectional survey that used standard consumption measurement tool (COICOP) and International Standard Classification of Occupations (ISCO).

RESULTS

We found a CHE of 10.7% at 10% threshold and 5.2% at 40% threshold among households belonging to agricultural workers. The corresponding figures were 10% and 4.8% among 'plant operators and craft workers'. Impoverishment impact was also higher among these households at all poverty lines. In addition, CHE was higher among unemployed households. A negative concentration index was observed for CHE and impoverishment impact among agricultural workers and 'plant operators and craft workers'. In rural areas, we found a CHE of 11.5% at 10% threshold and a high impoverishment impact. Across provinces, CHE was 12% in Madhesh and 14.3% in Lumbini at 10% threshold, and impoverishment impact was 1.9% in Madhesh, Karnali and Sudurpachim at US $1.90 a day poverty line.

CONCLUSION

Households belonging to informal occupations were more prone to CHE and impoverishment impact due to healthcare OOP payments. Impoverishment impact was disproportionately higher among elementary occupations, agricultural workers, and 'plant operators and craft workers'. Similarly, the study found a wide urban/rural and provincial gap in financial protection. The results can be useful to policymakers engaged in designing health-financing reforms to make progress toward UHC.

Poor and non-poor gap in under-five child nutrition: a case from Nepal using Blinder-Oaxaca decomposition approach

INTRODUCTION

Many low-and middle-income countries (LMICs) have improved health indicators in the past decades, however, there is a differential in outcomes between socioeconomic groups. Systematic analysis of drivers of child nutrition gap between non-poor and poor groups has a policy relevance in Nepal and other countries to make progress towards universal health coverage (UHC). The objective of this paper was to estimate the mean height-for-age z scores (HAZ) gap between under-five children belonging to non-poor and poor groups, divide the gap into components (endowments, coefficients and interaction), and identify the factors that contributed most to each of the component.

METHODS

Information about 6277 under-five children was extracted from the most recent nationally representative Nepal Multiple Indicator Cluster Survey (MICS) 2019. HAZ was used to assess nutritional status of children. Wealth index was used to categorize children into non-poor and poor. Mean HAZ gap between groups was decomposed using Blinder-Oaxaca technique into components: endowments (group difference in levels of predictors), coefficients (group difference in effects of predictors), and interaction (group difference due to interaction between levels and effects of predictors). Detailed decomposition was carried out to identify the factors that contributed most to each component.

RESULTS

There was a significant non-poor and poor gap in nutrition outcome measured in HAZ (0.447; p < 0.001) among under-five children in Nepal. The between-group mean differences in the predictors of study participants (endowments) contributed 0.210 (47%) to the gap. Similarly, the between-group differences in effects of the predictors (coefficients) contributed 0.308 (68.8%) towards the gap. The interaction contributed -0.071 (15.8%) towards minimizing the gap. The predictors/variables that contributed most towards the gap due to (i) endowments were: maternal education, province (Karnali, Sudurpaschim, Madhesh), residence (rural/urban), type of toilet facility and ethnic group (Dalit and Muslim); (ii) coefficients were: number of under-five children in family, ethnic group (Dalit and Muslim), type of toilet facility, maternal age and education.

CONCLUSION

Decomposition of the child nutrition gap revealed that narrowing the inequality between wealth groups depends not only on improving the level of the predictors (endowments) in the poor group but also on reducing differential effects of the predictors (coefficients).

The effects of individual and community-level factors on community-based health insurance enrollment of households in Ethiopia

Introduction

Community-based health insurance (CBHI) is a type of volunteer health insurance that has been adopted all over the world in which people of the community pool funds to protect themselves from the high costs of seeking medical care and treatment for the disease. In Ethiopia, healthcare services are underutilized due to a lack of resources in the healthcare system. The study aims to identify the individual and community level factors associated with community-based health insurance enrollment of households in Ethiopia.

Methods

Data from the Ethiopian mini demographic and health survey 2019 were used to identify factors associated with community-based health insurance enrollment of households in Ethiopia. Multilevel logistic regression analysis was used on a nationally representative sample of 8,663 households nested within 305 communities, considering the data’s layered structure. We used a p-value<0.05 with a 95% confidence interval for the results.

Result

The prevalence of community-based health insurance enrollment in Ethiopia was 20.2%. The enrollment rate of households in the scheme was high in both Amhara (57.9), and Tigray (57.9%) regions and low (3.0%) in the Afar region. At the individual level; the age of household heads, number of children 5 and under, number of household members, has land for agriculture, has a mobile telephone, receiving cash of food from the safety Net Program, Owning livestock, and herds of farm animals, wealth index, and at the community level; the region had a significant association with community-based health insurance enrollment.

Conclusion

Both individual and community-level characteristics were significant predictors of community-based health insurance enrollment in households. Furthermore, the ministry of health, health bureaus, and other concerning bodies prioritize clusters with low health insurance coverage to strengthen health system financing and intervene in factors that negatively affect the CBHI enrollment of households.

Socioeconomic and demographic correlates of child nutritional status in Nepal: an investigation of heterogeneous effects using quantile regression

Background

Child undernutrition continues to be a major public health problem in many countries, including Nepal. The repercussions of undernutrition are not only limited to the affected children and families but also transcend to the national and global economy. Earlier studies from Nepal have predominantly used either ordinary least squares (OLS) regression or binary regression to analyse the socioeconomic and demographic correlates of the nutritional outcome. In this study, quantile regression was used to understand a complete and more precise estimate of the effects of the covariates on the child nutritional status.

Methods

This study was based on the most recent nationally representative Nepal Multiple Indicator Cluster Survey (MICS) 2019. Height-for-age z scores (HAZ) were used as an indicator for assessing the nutritional status of under-five children. Quantile regression was used to examine the heterogeneous association of covariates with conditional HAZ distribution across the different quantiles (0.10, 0.30, 0.50, 0.85). As a comparison, the effects of covariates at conditional mean of HAZ using OLS regression was also analysed. The graphs were plotted to visualize the changes in the coefficients for each regressor across the entire conditional HAZ distribution.

Results

Age of children, sex of children, province and wealth had a consistent and statistically significant association with HAZ in both OLS and quantile regression. Improved toilet facility was positively correlated with HAZ at the lower tails (tenth and thirtieth percentiles). Ethnicity (Janajati and Newer) was positively correlated with HAZ at the lower tail (thirtieth percentile) and mean (OLS regression). Maternal education was a significant predictor of improved height-for-age across conditional quantiles, except at the tenth percentile. Maternal age, number of under-five children in household, number of household members, and improved source of drinking water showed heterogeneous effects across different quantiles of conditional HAZ distribution.

Conclusion

Use of quantile regression approach showed that the effect of different factors differed across the conditional distribution of HAZ. Policymakers should consider the heterogeneous effect of different factors on HAZ so that the targeted intervention could be implemented to maximize the nutritional benefits to children.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12992-022-00834-4.