The Impact of Community Based Health Insurance in Enhancing Better Accessibility and Lowering the Chance of Having Financial Catastrophe Due to Health Service Utilization: A Case Study of Savannakhet Province, Laos

Short and longer-term impacts of health insurance on catastrophic health expenditures in Kwara State, Nigeria

BACKGROUND

Out- of-pocket health expenditures (OOPs) constitute a significant proportion of total health expenditures in many low- and middle-income countries (LMICs), leading to an increased likelihood of exposure to financial catastrophe in the event of illness. Health insurance has the potential to reduce catastrophic health expenditures (CHE), but rigorous evidence of its sustained impact is limited, especially in LMICs. This study examined the short- and longer-term effects of a health insurance program in Kwara State, Nigeria on CHE.

METHODS

The analysis is based on a panel dataset consisting of 3 waves of household surveys in program and comparison areas. The balanced data consists of 1,039 households and 3,450 individuals. We employed a difference-in-differences (DiD) regression approach to estimate intention-to-treat effects, and then computed average treatment effects on the treated by combining DiD with propensity score weighting and an instrumental variables analysis. CHE was measured as OOPs exceeding 10% of household consumption and 40% of capacity-to-pay (CTP).

RESULTS

Using 10% of consumption as a CHE measure, we found that living in the program area was associated with a 4.3 percentage point (pp) decrease in CHE occurrence (p < 0.05), while the effect on insured households was 5.7 pp (p < 0.05). The longer-term impact four years after program introduction was not significant. Heterogeneity analyses show a reduction in CHE of 7.2 pp (p < 0.01) in the short-term for the poorest tercile. No significant effects were found for the middle and richest terciles, nor in the longer-term. Households with a chronically ill member experienced a reduction in CHE of 9.4 pp (p < 0.01) in the short-term, but not in the longer-term. Most estimates based on the 40% of CTP measure were not statistically significant.

CONCLUSION

These findings highlight the critical role of health insurance in reducing the likelihood of catastrophic health expenditures, especially for vulnerable populations such as the poor and the chronically ill, and by extension in achieving universal health coverage. They also show that the beneficial impacts of health insurance may attenuate over time, as households potentially adjust their health-seeking behavior to the new scheme.

Towards universal health coverage: The level and determinants of enrollment in the Community-Based Health Insurance (CBHI) scheme in Ethiopia: A systematic review and meta-analysis

Background

Community-based health insurance (CBHI) is a risk-pooling approach that tries to disperse health expenditures across families with varying health profiles to provide greater access to healthcare services by allowing cross-subsidies from wealthy to poor populations. It is crucial to assess the level of CBHI enrolment and its determinants in Ethiopia, where government health spending is limited to less than 5% of GDP, far below the Alma Ata Declaration’s benchmark of 15%. Although various epidemiological studies on CBHI enrolment status and its determinants have been undertaken in Ethiopia, the results have been inconsistent, with significant variability. However, no nationwide study assessing the pooled estimates exists today. Furthermore, the estimated strength of association at the country level varied and was inconsistent across studies. Hence, this systematic review and meta-analysis aimed at estimating the pooled prevalence of CBHI enrolment and its determinants in Ethiopia.

Methods

A comprehensive search of studies was done by using PubMed, EMBASE, Science Direct, HINARI, Scopus, Web of Science, and the Cochrane Library. The database search was complemented by google scholar and some repositories for grey literature. The search was carried out from February 11 to March 12, 2022. The relevant data were extracted using a Microsoft Excel 2013 spreadsheet and analyzed using STATA^TM Version 16. Studies reporting the level and determinants of CBHI enrolment in Ethiopia were considered. A weighted DerSimonian Laired random effect model was applied to estimate the pooled national prevalence of CBHI enrolment. The Cochrane Q test statistics and I² tests were used to assess the heterogeneity of the included studies. A funnel plot, Begg’s and Egger’s tests, were used to check for the presence of publication bias.

Results

Fifteen studies were eligible for this systematic review and meta-analysis with a total of 8418 study participants. The overall pooled prevalence of CBHI enrolment in Ethiopia was 45.5% (95% CI: 32.19, 58.50). Affordability of premium for the scheme[OR = 2.58, 95% CI 1.68, 3.47], knowledge of respondents on the CBHI scheme[OR = 4.35, 95% CI 2.69, 6.01], perceived quality of service[OR = 3.21, 95% CI 2.04, 4.38], trust in the scheme[OR = 2.32, 95% CI 1.57, 3.07], and the presence of a person with a chronic disease in the household [OR = 3.58, 95% CI 2.37, 4.78] were all found to influence CBHI enrolment.

Conclusion

Community health workers (CHWs) need to make a high effort to improve knowledge of CBHI in rural communities by providing health education. To deal with the issue of affordability, due emphasis should be placed on building local solidarity groups and strengthening local initiatives to aid poor members. Stakeholders in the health service delivery points need to focus on the dimensions of high service quality. The financial gap created by the adverse selection of households with chronically ill members should be rectified by implementing targeted subsidies with robust plans.

The influence of the National Health Insurance scheme of the Lao People's Democratic Republic on healthcare access and catastrophic health expenditures for patients with chronic renal disease, and the possibility of integrating organ transplantation into the health financing system

Citizens of the Lao People’s Democratic Republic have difficulties in obtaining proper health services compared to more developed countries, due to the lack of available health facilities and health financing programmes. Haemodialysis (HD) is currently included under the coverage of the National Health Insurance (NHI) scheme. However, there are several technical barriers related to health service utilization. This study aims to analyse the effects of the Lao NHI on issues of accessibility and the possibility of encountering catastrophic health expenditures for patients with chronic kidney disease. In addition, the study provides policy recommendations for policy-makers regarding the provision of organ transplantation under NHI in the future. Savannakhet Province was purposively selected as a study site, where 342 respondents participated in the study. Two logistic regression models are used to assess the effectiveness of the NHI in terms of accessibility and financial protection against catastrophic health expenditures. The Andersen behavioural model is applied as a guideline to identify factors that affect accessibility and economic catastrophe. NHI is found to improve accessibility to health service utilization for household members with chronic kidney disease. However, due to the limited HD services, there are barriers to accessing health services and a risk of financial hardship due to nonmedical expenditures. Chronic conditions, in addition to kidney issues, dramatically increase the chances of suffering catastrophic health expenditures. In the short run, collaboration with neighbouring countries’ hospitals through copayment programmes is strongly recommended for NHI’s policy-makers. For long-term policy guidelines, the government should move forward to include kidney transplantation in the NHI healthcare system.

Willingness to Enroll for Community-Based Health Insurance and Associated Factors in Simada District, North-West, Ethiopia, 2020:A Community-Based Cross-Sectional Study

Background

Community-based health insurance is a not-for-profit type of health insurance that has been used by poor people to protect themselves against the high costs of seeking medical care and treatment for illness. This study aimed to assess communities’ willingness to enroll for community-based health insurance (CBHI) and its associated factors in Simada district, Northwest, Ethiopia.

Methods

A community-based mixed cross-sectional study design was conducted. Multistage simple random and purposive sampling techniques were used for quantitative and qualitative studies, respectively. Data were coded and entered into Epi info version 7.2.0.1 and exported to SPSS 20.0 for data analysis. Inferential statistics were done to determine an association between the outcome and independent variables. Statistically significant variables in binary logistic regression analysis with p-value <0.2 were entered for multivariable binary logistic regression analysis and P-value ≤0.05 was considered as statistically significant. Hosmer and Lemeshow’s goodness of fitness test was fitted and qualitative data were analyzed by using thematic analysis.

Results

Among 510 study participants, 454 (89%) [CI: (86.5%-91.6%)] were willing to enroll for community-based health insurance. Members of social capital [AOR: 7.6 (3.78–15.5)], distance from health facilities [AOR: 10.8 (4.9–23.5)], the experience of chronic illness in the family [AOR: 4.6 (1.88–11.4)], medium family wealth status [AOR: 3.1 (1.3–7.5)], and the number of family members [AOR: 2.25 (1.11–4.6)] were significantly associated with willingness to enroll for community-based health insurance.

Conclusion

Willingness to enroll in community-based health insurance in the study area is high. Members of social capital, the experience of chronic illness in the family, distance from a health facility, the number of family members, and medium family wealth status were factors found to be associated with willingness to enroll for the scheme. Therefore, emphasizing redesigning and planning strategies for better expanding the scheme accordingly.

Enrollment in community based health insurance program and the associated factors among households in Boricha district, Sidama Zone, Southern Ethiopia; a cross-sectional study

Background

In absence of any form of health insurance, out-of-pocket payments for health care lead to decreased use of health services and catastrophic health expenditures. Community-based health insurances has been promised financial model for informal sectors to reduce these problems in many countries. When this comes down to Ethiopia, in the South Nation Nationality People’s Region of the country established 52 schemes including Boricha district, the study area However, there has been little evidence about the enrollment status and the associated factors in the study area in particular elsewhere in general.

Objective

The study aims to assess the current enrollment status of households in community based health insurance and the associated factors in Boricha district of Sidama Zone, Southern Ethiopia.

Methods and materials

A community based cross-sectional study design was employed from February 01, 2019 to March 31, 2019, using a sample of 632 households. Data were collected using interviewer-administered pre-tested questionnaire and entered into EPI-Info 7and transported to SPSSversion20 for analysis. Multi-variable logistic regression analysis along with odds ratio and the corresponding 95% CI was conducted and significance was declared at P-value <0.05.

Results

Current enrollment status of households in community based health insurance was found to be 81 (12.8%). According to this study, educational status; secondary school& above[AOR = 2.749, 95%CI(1.142, 6.618)], timing of collecting premium [AOR = 0.433; 95% CI (0.196, 0.958)], family size ≥5, [AOR = 4.16;95%CI (1.337, 12.944)], no trust on scheme management[AOR = 0.272; 95%CI (0.140, 0.528)], lack of information [AOR = 0.086; 95%CI (0.026, 0.288)], dissatisfaction with health care service received[AOR = 0.303; 95%CI (0.171, 0.537)], no chronic illness in the family[AOR = 0.259; 95%C.I.(0.137, 0.488)] were factors significantly associated with current enrollment status in CBHI.

Conclusions

Households head’s education status, timing of premium collection, family size, no trust on scheme management, lack of information, services dissatisfaction and chronic illness in the family member were the identified factors associated with enrollment in CBHI in the study area. Therefore, to enhance the enrollment and sustainability of CBHI in the study area awareness creation, improving timing of premium collection, strengthening scheme management, improving quality of service are the areas that decision makers needs to intervene.

The impact of National Health Insurance upon accessibility of health services and financial protection from catastrophic health expenditure: a case study of Savannakhet province, the Lao People's Democratic Republic

INTRODUCTION

Many schemes have been implemented by the government of the Lao People's Democratic Republic to provide equity in health service utilisation. Initially, health service utilisations were fully supported by the government and were subsequently followed by the Revolving Drug Fund. In the 2000s, four health financing schemes, namely the Social Security Organization, the State Authority for Social Security, the Health Equity Fund and Community-Based Health Insurance (CBHI), were introduced with various target groups. However, as these voluntary schemes have suffered from a very low enrolment rate, the government decided to pilot the National Health Insurance (NHI) scheme, which offers a flat, co-payment system for health service utilisation. This study aims to assess the effectiveness of the NHI in terms of its accessibility and in providing financial protection from catastrophic health expenditure.

METHODS

The data collection process was implemented in hospitals of two districts of Savannakhet province. A structured questionnaire was used to retrieve all required information from 342 households; the information comprised of the socioeconomics of the household, accessibility to health services and financial payment for both outpatient and inpatient department services. Binary logistic regression models were used to discover the impact of NHI in terms of accessibility and financial protection. The impact of NHI was then compared with the outcomes of the preceding, voluntary CBHI scheme, which had been the subject of earlier studies.

RESULTS

Under the NHI, it was found that married respondents, large households and the level of income significantly increased the probability of accessibility to health service utilisation. Most importantly, NHI significantly improved accessibility for the poorest income quantile. In terms of financial protection, households with an existing chronic condition had a significantly higher chance of suffering financial catastrophe when compared to households with healthy members. As probability of catastrophic expenditure was not affected by income level, it was indicated that NHI is able to provide equity in financial protection.

CONCLUSION

The models found that the NHI significantly enhances accessibility for poor income households, improving health service distribution and accessibility for the various income levels when compared to the CBHI coverage. Additionally, it was also found that NHI had enhanced financial protection since its introduction. However, the NHI policy requires a dramatically high level of government subsidy; therefore, there its long-term sustainability remains to be determined.

Inequities in Access: The Impact of a Segmented Health Insurance System on Physician Visits and Hospital Admissions Among Older Adults in the 2014 China Family Panel Studies

The fragmentation of job-based and community-based insurance plans inevitably undermines health care accessibility in China’s market-oriented health system, especially for uninsured and rural residents. Based on the 2014 China Family Panel Studies, this secondary data analysis examined whether socioeconomic indicators, health-related determinants, and particularly social health insurance status affect physician visits in the past 2 weeks and hospital admissions in the past 12 months among a representative sample of older adults (n = 6,570). Grounded in Andersen’s behavioral framework, 2 series of logistic regression analyses were performed: one was built in a hierarchical manner, assessing blocks of predisposing, enabling, health-need, and lifestyle-behavioral factors; the other was conducted in a cross-referencing manner, comparing uninsured populations with job-based and community-based insurance enrollees. Results show that, after full adjustment, the odds of physician visits were lower among urban insurance enrollees (OR = 0.67, 95% CI: 0.47–0.97) than rural residents. For hospital admissions, both uninsured elders (OR = 0.65, 95% CI: 0.48–0.87) and community-based insurance enrollees (OR = 0.67, 95% CI: 0.47–0.97) had lower use of inpatient care than job-based insurance enrollees, demonstrating inequitable access. This study suggests that policy efforts should unify the social health insurance system to combat existing insurance-related inequities in health care use for underserved aging populations.

Factors affecting the willingness to join community-based health insurance (CBHI) scheme: A case study survey from Savannakhet Province, Lao P.D.R

PURPOSE

Community-based health insurance (CBHI) targets independent worker (self-employed) is currently struggling with inadequate size of risk pooling, low enrollment, and high dropout rate as well as financial sustainability. The objective of this study is to find out the factors that significantly affect the CBHI enrollment incentive. The study applied cross-sectional study design to perform situation analysis, in which the Andersen behavioral model was used as a guideline to identify preliminary characteristics that involved with enrolling incentive.

FINDINGS

The model found that existence of both outpatient department (OPD) and inpatient department (IPD) health service utilization had significant impact on the CBHI enrollment, this statement is strongly related to adverse selection issues. Households resides in Kaysone Phomvihane district had higher probability of joining the scheme in comparison with relatively less-developed Champhone district. Households with no CBHI knowledge were also more likely to enroll the scheme. Occupation was also found to be a significant factors; of which farmers and laborers had lower possibility enrollment.

CONCLUSIONS

Economic condition of the district has a significant impact on enrolment. However, the increase in personal income does not directly enhance the desire for enrolment. Most of the high-income households prefer to use a local, private clinic, and foreign hospitals in Thailand or Vietnam. Households with unemployed heads had the highest possibility of enrolling. The reason is the unemployed respondents include the elderly who stay at home without performing major tasks in exchange for their living. That group of people has the highest probability of either OPD or IPD.

The effect of community based health insurance on catastrophic health expenditure in Northeast Ethiopia: A cross sectional study

INTRODUCTION

Moving towards the goal of universal health coverage requires strengthening service delivery and overcoming significant financial barriers. The Government of Ethiopia is rolling out community based health insurance to protect the rural community from high out of pocket health expenditure and improve health service utilization. We investigated the effect of community based health insurance on catastrophic health expenditure in Northeast Ethiopia.

METHODS

A community based cross sectional study was conducted. A Multi stage sampling technique was used to get a total of 454 (224 insured and 230 uninsured) households. The data were entered using EPI info version 7 and analyzed using SPSS version 20 and STATA version 13 for binary logistic regression analysis and propensity score matching analysis respectively. Wealth status of the households was computed by Principal Component Analysis (PCA). A multivariable logistic regression analysis was done to identify the predictors of catastrophic health expenditure. Propensity score matching analysis was used to determine the effect of community based health insurance on catastrophic health expenditure. The average treatment effect on the treated (ATT) was calculated to compare the means of outcomes across insured and uninsured households.

RESULTS

A total of 454 household heads were included in the study, making a response rate of 91.2%.The total level of catastrophic health expenditure was found to be 20%. Among the households with catastrophic health expenditure, 4.41% were insured, whereas the remaining 15.64% were noninsured. Insured households (AOR = 0.19, 95% CI: 0.11-0.34), rich households (AOR = 1.98; 95% CI: 1.07-3.66), having member with chronic illness (AOR = 2.13, 95% CI: 1.01-4.51) and having member encountered any illness during the past 3 months (AOR = 2.44, 95% CI: 1.35-4.40) were statistically associated with catastrophic health expenditure. Community based health insurance contributed to 23.2% (t = -5.94) (95% CI: -0.31_-0.15) reduction of catastrophic health expenditure.

CONCLUSION

The overall level of catastrophic health expenditure was high among noninsured households. Community based health insurance has significant financial protection from catastrophic health expenditure in northeast Ethiopia. Thus, the government need to scale up community based health insurance to protect the noninsured households from catastrophic health expenditure.

The role of micro health insurance in providing financial risk protection in developing countries--a systematic review

Background

Out of pocket payments are the predominant method of financing healthcare in many developing countries, which can result in impoverishment and financial catastrophe for those affected. In 2010, WHO estimated that approximately 100 million people are pushed below the poverty line each year by payments for healthcare. Micro health insurance (MHI) has been used in some countries as means of risk pooling and reducing out of pocket health expenditure. A systematic review was conducted to assess the extent to which MHI has contributed to providing financial risk protection to low-income households in developing countries, and suggest how the findings can be applied in the Pakistani setting.

Methods

We conducted a systematic search for published literature using the search terms “Community based health insurance AND developing countries”, “Micro health insurance AND developing countries”, “Mutual health insurance AND developing countries”, “mutual OR micro OR community based health insurance” “Health insurance AND impact AND poor” “Health insurance AND financial protection” and “mutual health organizations” on three databases, Pubmed, Google Scholar and Science Direct (Elsevier). Only those records that were published in the last ten years, in English language with their full texts available free of cost, were considered for inclusion in this review. Hand searching was carried out on the reference lists of the retrieved articles and webpages of international organizations like World Bank, World Health Organization and International Labour Organization.

Results

Twenty-three articles were eligible for inclusion in this systematic review (14 from Asia and 9 from Africa). Our analysis shows that MHI, in the majority of cases, has been found to contribute to the financial protection of its beneficiaries, by reducing out of pocket health expenditure, catastrophic health expenditure, total health expenditure, household borrowings and poverty. MHI also had a positive safeguarding effect on household savings, assets and consumption patterns.

Conclusion

Our review suggests that MHI, targeted at the low-income households and tailored to suit the cultural and geographical structures in the various areas of Pakistan, may contribute towards providing protection to the households from catastrophe and impoverishment resulting from health expenditures. This paper emphasizes the need for further research to fill the knowledge gap that exists about the impact of MHI, using robust study designs and impact indicators.