A systematic review of factors that affect uptake of community-based health insurance in low-income and middle-income countries

Equity in health insurance schemes enrollment in low and middle-income countries: A systematic review and meta-analysis

Background

Ensuring access to essential quality health services and reducing financial hardship for all individuals regardless of their ability to pay are the main goals of universal health coverage. Various health insurance schemes have been recently implemented in low- and middle-income countries (LMICs) to achieve both of these objectives. We systematically reviewed all available literature to assess the extent to which current health insurance schemes truly reach the poor and underserved populations in LMICs.

Methods

In the systematic review, we searched on PubMed, Web of Science, EconLit and Google Scholar to identify eligible studies which captured health insurance enrollment information in LMICs from 2010 up to September 2019. Two authors independently selected studies, extracted data, and appraised included studies. The primary outcome of interest was health insurance enrollment of the most vulnerable populations relative to enrollment of the best-off subgroups. We classified households both with respect to their highest educational attainment and their relative wealth and used random-effects meta-analysis to estimate average enrollment gaps.

Results

48 studies from 17 countries met the inclusion criteria. The average enrollment rate into health insurance schemes for vulnerable populations was 36% with an inter-quartile range of 26%. On average, across countries, households from the wealthiest subgroup had 61% higher odds (95% CI: 1.49 to 1.73) of insurance enrollment than households in the poorest group in the same country. Similarly, the most educated groups had 64% (95% CI: 1.32 to 1.95) higher odds of enrollment than the least educated groups.

Conclusion

The results of this study show that despite major efforts by governments, health insurance schemes in low-and middle-income countries are generally not reaching the targeted underserved populations and predominantly supporting better-off population groups. Current health insurance designs should be carefully scrutinized, and the extent to which health insurance can be used to support the most vulnerable populations carefully re-assessed by countries, which are aiming to use health insurance schemes as means to reach their UHC goals. Furthermore, studies exploring best practices to include vulnerable groups in health insurance schemes are needed.

Registration

Not available

Supplementary Information

The online version contains supplementary material available at 10.1186/s12939-021-01608-x.

Suburban Road Networks to Explore COVID-19 Vulnerability and Severity

The Delta variant of COVID-19 has been found to be extremely difficult to contain worldwide. The complex dynamics of human mobility and the variable intensity of local outbreaks make measuring the factors of COVID-19 transmission a challenge. The inter-suburb road connection details provide a reliable proxy of the moving options for people between suburbs for a given region. By using such data from Greater Sydney, Australia, this study explored the impact of suburban road networks on two COVID-19-related outcomes measures. The first measure is COVID-19 vulnerability, which gives a low score to a more vulnerable suburb. A suburb is more vulnerable if it has the first COVID-19 case earlier and vice versa. The second measure is COVID-19 severity, which is proportionate to the number of COVID-19-positive cases for a suburb. To analyze the suburban road network, we considered four centrality measures (degree, closeness, betweenness and eigenvector) and core-periphery structure. We found that the degree centrality measure of the suburban road network was a strong and statistically significant predictor for both COVID-19 vulnerability and severity. Closeness centrality and eigenvector centrality were also statistically significant predictors for COVID-19 vulnerability and severity, respectively. The findings of this study could provide practical insights to stakeholders and policymakers to develop timely strategies and policies to prevent and contain any highly infectious pandemics, including the Delta variant of COVID-19.

A Comparative Cross-Sectional Study of the Prevalence and Determinants of Health Insurance Coverage in Nigeria and South Africa: A Multi-Country Analysis of Demographic Health Surveys

Background: The core Universal Health Coverage (UHC) objectives are to ensure universal access to healthcare services by reducing all forms of inequalities. However, financial constraints are major barriers to accessing healthcare, especially in countries such as Nigeria and South Africa. The findings of this study may aid in informing and communicating health policy to increase financial access to healthcare and its utilization in South Africa and Nigeria. Nigeria-South Africa bilateral relations in terms of politics, economics and trade are demonstrated in the justification of the study setting selection. The objectives were to estimate the prevalence of health insurance coverage, and to explore the socio-demographic factors associated with health insurance in South Africa and Nigeria. Methods: This was a cross-sectional study using the 2018 Nigeria Demographic Health Survey and the 2016 South Africa Demographic Health Survey. The 2018 Nigeria Demographic Health Survey data on 55,132 individuals and the 2016 South Africa Demographic Health Survey on 12,142 individuals were used to investigate the prevalence of health insurance associated with socio-demographic factors. Percentages, frequencies, Chi-square and multivariate logistic regression were e mployed, with a significance level of p < 0.05. Results: About 2.8% of the Nigerian population and 13.3% of the South African population were insured (Nigeria: males-3.4%, females-2.7% vs. South Africa: males-13.9%, females-12.8%). The multivariate logistic regression analyses showed that higher education was significantly more likely to be associated with health insurance, independent of other socio-demographic factors in Nigeria (Model I: OR: 1.43; 95% CI: 0.34-1.54, p < 0.05; Model II: OR: 1.34; 95% CI: 0.28-1.42, p < 0.05) and in South Africa (Model I: OR: 1.33; 95% CI: 0.16-1.66, p < 0.05; Model II: OR: 1.76; 95% CI: 0.34-1.82, p < 0.05). Respondents with a higher wealth index and who were employed were independently associated with health insurance uptake in Nigeria and South Africa (p < 0.001). Females were more likely to be insured (p < 0.001) than males in both countries, and education had a significant impact on the likelihood of health insurance uptake in high wealth index households among both male and females in Nigeria and South Africa. Conclusion: Health insurance coverage was low in both countries and independently associated with socio-demographic factors such as education, wealth and employment. There is a need for continuous sensitization, educational health interventions and employment opportunities for citizens of both countries to participate in the uptake of wide health insurance coverage.

Factors Affecting Payment Compliance of the Indonesia National Health Insurance Participants

Background

The study aims to explore factors that affect the compliance of Indonesia National Health Insurance (INHI) in paying the premiums.

Methods

The study design was qualitative with grounded theory research approach and constructivism paradigm. The study was conducted in 2018 and carried out for 3 months. We recruited 22 respondents from four different cities/districts. Triangulation was carried out through 26 informants from various stakeholders. Data were analyzed through coding, categorizing and pattern matching to obtain substantive theory.

Results

The resulting substantive theory consists of 6 constructs and 14 categories. Compliance with paying insurance premium depends on the intention to pay for contribution. Meanwhile, the intention to pay is related to internal and external factors of INHI participants. To improve payment contribution of independent participants, INHI program has to pay attention for factors originating internally from the participants themselves (understanding of INHI program, financial ability and self-attitude) and also externally such as operational system and the quality of health care.

Conclusion

Compliance of paying insurance premium is related to internal and external factors of participants. Thus, interventions to improve compliance to pay premium should take these factors into account, and not merely on increasing the knowledge of participants.

Increasing Health Insurance Enrollment in Low- and Middle-Income Countries: What Works, What Does Not, and Research Gaps: A Scoping Review

Health insurance programs have the potential to shield individuals in low- and middle-income countries from catastrophic health expenses and reduce their vulnerability to poverty. However, the uptake of insurance programs remains low in these countries. We reviewed existing evidence from experimental studies on approaches that researchers have tested in order to raise the uptake. In the 12 studies we synthesized, educational programs and subsidies were the dominant interventions. Consistent with findings from previous studies on other health products, subsidies were effective in raising the uptake of insurance programs in many contexts. Conversely, education interventions-in their current forms-were largely ineffective, although they bolstered the effect of subsidies. Other strategies, such as the use of microfinance institutions and social networks for outreach and enrollment, showed mixed results. Additional research is needed on effective approaches to raise the uptake of insurance programs, including tools from behavioral economics that have shown promise in other areas of health behavior.

The Triangular Axes of Universal Health Coverage Achievement: The Success Factors Behind Korean Community-Based Health Insurance Expansion

Though it has passed over 30 years, Korea’s community-based health insurance (CBHI) expansion can provide useful policy implications to developing countries with similar conditions, that is, lack of fiscal resources, health infrastructure, and medical resources to expand coverage to the informal sector. We summarized three groups of success factors through in-depth interviews and narrative analysis: system design, system operation, and public perception of the system. Korean CBHI could expand to the informal sector with the same system design as the formal sector such as mandatory enrolment, compulsory designation of medical service providers along with the low-benefit, low-contribution, and a low-payment system. However, expansion to the informal sector was somewhat different, as the CBHI exercised and operated the scheme with flexibility, semi-autonomy and leadership to fit for local context in terms of operation. Moreover, cultural factors that encouraged public awareness and increased participation significantly contributed in appealing to the informal sector. Overall, the systemic, operational, and cultural factors interacted with each other and created a synergy effect that local members in the informal sector found attractive.

Best Practices in Achieving Universal Health Coverage: A Scoping Review

Background: The Universal Health Coverage (UHC) is a very important and effective policy in the health system of countries worldwide. Using the experiences and learning from the best practices of successful countries in the UHC can be very helpful. Therefore, the aim of the present study is to provide a scoping review of successful global interventions and practices in achieving UHC. Methods: This is a scoping review study that has been conducted using the Arkesy and O'Malley framework. To gather information, Embase, PubMed, The Cochrane Library, Scopus, Scientific Information Database, and MagIran were searched using relevant keywords from 2000 to 2019. Studies about different reforms in health systems and case studies, which have examined successful interventions and reforms on the path to UHC, were included. Articles and abstracts presented at conferences and congresses were excluded. Framework Analysis was also used to analyze the data. Results: Out of 4257 articles, 57 finally included in the study. The results showed that of the 40 countries that had successful interventions, most were Asian. The interventions were financial protection (40 interventions that were categorized into 14 items), service coverage (31 interventions categorized into 7 items), population coverage (36 interventions categorized into 9 items), and quality (18 interventions categorized into 7 items), respectively. Also, the positive results of interventions on the way to achieving UHC were financial protection (14 interventions), service coverage (7 interventions), population coverage (9 interventions), and quality (7 interventions), respectively. Conclusion: This study provides a comprehensive and clear view of successful interventions in achieving the UHC. Therefore, with consideration to lessons learned from successful interventions, policymakers can design appropriate interventions for their country.

Socioeconomic inequality in premiums for a community-based health insurance scheme in Rwanda

Community-based health insurance (CBHI) has gained popularity in many low- and middle-income countries, partly as a policy response to calls for low-cost, pro-poor health financing solutions. In Africa, Rwanda has successfully implemented two types of CBHI systems since 2005, one of which with a flat rate premium (2005-10) and the other with a stratified premium (2011-present). Existing CBHI evaluations have, however, tended to ignore the potential distributional aspects of the household contributions made towards CBHI. In this paper, we investigate the pattern of socioeconomic inequality in CBHI household premium contributions in Rwanda within the implementation periods. We also assess gender differences in CBHI contributions. Using the 2010/11 and 2013/14 rounds of national survey data, we quantify the magnitude of inequality in CBHI payments, decompose the concentration index of inequality, calculate Kakwani indices and implement unconditional quantile regression decomposition to assess gender differences in CBHI expenditure. We find that the CBHI with stratified premiums is less regressive than CBHI with a flat rate premium system. Decomposition analysis indicates that income and CBHI stratification explain a large share of the inequality in CBHI payments. With respect to gender, female-headed households make lower contributions towards CBHI expenditure, compared with male-headed households. In terms of policy implications, the results suggest that there may be a need for increasing the premium bracket for the wealthier households, as well as for the provision of more subsidies to vulnerable households.

Dropping out of voluntary community-based health insurance in rural Uganda: Evidence from a cross-sectional study in rural south-western Uganda

AIM

Community Based Health Insurance (CBHI) schemes have become central to health systems financing as avenues of achieving universal health coverage in developing countries. Yet, while emphasis in research and policy has mainly concentrated on enrolment, very little has been apportioned to high rates of dropping out after initial enrolment. The main aim of this study is to understand the factors behind CBHI dropping out through a cross-sectional quantitative research design to gain insights into curtailing the drop out of CBHI in Uganda.

METHODS

The survey for the quantitative research component took place between August 2015 and March 2016 covering 464 households with under-5 children in south-western Uganda. To understand the factors associated with dropping out of CBHI, we employ a multivariate logistic regression on a subsample of 251 households who were either currently enrolled or had enrolled at one time and later dropped out.

RESULTS

Overall, we find that 25.1 percent of the households that had ever enrolled in insurance reported dropping out. Household socioeconomic status (wealth) was one of the key factors that associated with dropping out. Larger household sizes and distance from the hospital were significantly associated with dropping out. More socially connected households were less likely to drop out revealing the influence of community social capital in keeping households insured.

CONCLUSION

The findings have implications for addressing equity and inclusion concerns in community-based health insurance programmes such as one in south-western Uganda. Even when community based informal system aim for inclusion of the poorest, they are not enough and often the poorest of the poor slip into the cracks and remain uninsured or drop out. Moreover, policy interventions toward curtailing high dropout rates should be considered to ensure financial sustainability of CBHI schemes.

Barriers to uptake of community-based health insurance in sub-Saharan Africa: a systematic review

In the past two decades, community-based Health Insurance (CBHI) is expanding in most of sub-Saharan African countries with the aim of improving equitable access to health services for the informal sector population. However, population enrolment into CBHI and membership renewals thereafter remains stubbornly low. The purpose of this systematic review is to generate an evidence to better understand barriers to uptake of CBHI in sub-Saharan African countries. We systematically searched for relevant studies from databases: PubMed, Scopus, Cumulative Index of Nursing and Allied Health Literature (CINAHL), PsychInfo, ProQest, Excerpta Medica dataBASE (EMBASE) and Africa-Wide Information. The search strategy combined detailed terms related to (i) CBHI, (ii) enrolment/renewal and (iii) sub-Saharan African countries. A narrative synthesis of findings was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The protocol for this systematic review was registered with International Prospective Register of Systematic Reviews (PROSPERO) (ref: CRD42020183959). The database search identified 4055 potential references from which 15 articles reporting on 17 studies met the eligibility criteria. The findings revealed that barriers to uptake of CBHI in sub-Saharan Africa were multidimensional in nature. Lack of awareness about the importance of health insurance, socio-economic factors, health beliefs, lack of trust towards scheme management, poor quality of health services, perceived health status and limited health benefit entitlements were reported as barriers that affect enrolments into CBHI and membership renewals. The methodological quality of studies included in this review has been found to be mostly suboptimal. The overall findings of this systematic review identified major barriers of CBHI uptake in sub-Saharan African countries which may help policymakers to make evidence-informed decisions. Findings of this review also highlighted that further research with a robust methodological quality, depth and breadth is needed to help better understand the factors that limit CBHI uptake at individual, societal and structural levels in sub-Saharan Africa.

Multilevel population and socioeconomic variation in health insurance coverage in India

OBJECTIVES

This study explores population-level variation in different types of health insurance coverage in India. We aimed to estimate the extent to which contextual factors at community, district, and state levels may contribute to place-based inequalities in coverage after accounting for household-level socioeconomic factors.

METHODS

We used data from the 2015-2016 National Family Health Survey in India, which provides the most recent and comprehensive information available on reports of different types of household health insurance coverage. We used multilevel regression models to estimate the relative contribution of different population levels to variation in coverage by national, state, and private health insurance schemes.

RESULTS

Among 601,509 households in India, 29% reported having coverage in 2015-2016. Variation in each type of coverage existed between population levels before and after adjusting for differences in the distribution of household socioeconomic and demographic factors. For example, the state level accounted for 36% of variation in national scheme coverage and 41% of variation in state scheme coverage after adjusting for household characteristics. In contrast, the community level was the largest contextual source of variation in private insurance coverage (accounting for 24%). Each type of coverage was associated with higher socioeconomic status and urban location.

CONCLUSIONS

Contextual factors at community, district, and state levels contribute to variation in household health insurance coverage even after accounting for socioeconomic and demographic factors. Opportunities exist to reduce disparities in coverage by focusing on drivers of place-based differences at multiple population levels. Future research should assess whether new insurance schemes exacerbate or reduce place-based disparities in coverage.

Factors associated with enrollment for community-based health insurance scheme in Western Ethiopia: Case-control study

INTRODUCTION

Modern health services utilization in developing countries has continued low. Financial shortage to access health-care services might be averted by stirring from out-of-pocket payment for health care at the time of use. The government of Ethiopia; depend greatly on foreign aid (50%) and out-of-pocket payments (34%) to fund health services for its population. This study was aimed to identify factors associated with households' enrollment to CBHI scheme membership.

METHODS

Case-control study design was conducted from May 18-July 27, 2019 among 332 participants (166 enrolled and 166 non-enrolled to CBHI scheme). Simple random sampling technique was used to select the study participants. Bi-variable and multivariable logistic regression model were fitted to identify factors associated with enrollment to community based health insurance. Adjusted odds ratio (AOR) with 95% CI was used to report association and significance was declared at P<0.05.

RESULT

A total of 332 (100% response rate) were involved in the study. Educational status (College and above, AOR = 3.90, 95%CI; 1.19, 12.75), good awareness about CBHI scheme (AOR = 21.595, 95% CI; 7.561, 61.681), affordability of premium payment (AOR = 3.403, 95% CI; 5.638-4.152), wealth index {(Poor, AOR = 2.59, 95%CI; 1.08, 6.20), (Middle, AOR = 4.13, 95%CI; 1.11, 15.32)} perceived health status (AOR = 5.536; 95% CI; 1.403-21.845), perceived quality of care (AOR: 21.014 95%CI; 4.178, 105.686) and treatment choice (AOR = 2.94, 95%CI; 1.47, 5.87) were factors significantly associated with enrollment to CBHI.

CONCLUSION

Enrolment to CBHI schemes is influenced by educational level, awareness level, affordability of premium, wealth index, perceived health status, perceived quality of care and treatment choice. Implementation strategies aimed at raising community awareness, setting affordable premium, and providing quality healthcare would help in increasing enrollment of all eligible community groups to the CBHI scheme.

MARCOS technique under intuitionistic fuzzy environment for determining the COVID-19 pandemic performance of insurance companies in terms of healthcare services

Assessing and ranking private health insurance companies provides insurance agencies, insurance customers, and authorities with a reliable instrument for the insurance decision-making process. Moreover, because the world’s insurance sector suffers from a gap of evaluation of private health insurance companies during the COVID-19 outbreak, the need for a reliable, useful, and comprehensive decision tool is obvious. Accordingly, this article aims to identify insurance companies’ priority ranking in terms of healthcare services in Turkey during the COVID-19 outbreak through a multi-criteria performance evaluation methodology. Herein, alternatives are evaluated and then ranked as per 7 criteria and assessments of 5 experts. Experts’ judgments and assessments are full of uncertainties. We propose a Measurement of Alternatives and Ranking according to the Compromise Solution (MARCOS) technique under an intuitionistic fuzzy environment to rank insurance companies. The outcomes yielded ten insurance companies ranking in terms of healthcare services in the era of COVID-19. The payback period, premium price, and network are determined as the most crucial factors. Finally, a comprehensive sensitivity analysis is performed to verify the proposed methodology’s stability and effectiveness. The introduced approach met the insurance assessment problem during the COVID-19 pandemic very satisfactory manner based on sensitivity analysis findings.

Barriers and Facilitators of Community-Based Health Insurance Policy Renewal in Low- and Middle-Income Countries: A Systematic Review

PURPOSE

A growing number of low- and middle-income countries are implementing small-scale community-based health insurance schemes to tackle the burdens posed by direct out-of-pocket payments. Apart from a few successful experiences, such schemes suffer from the problem of persistent low membership which could be attributed to either initial low enrollment or low renewal rate. However, there is a lack of comprehensive information on the factors that influence subscribers' policy renewal decisions. Hence, we systematically synthesize information to answer the review question "what are the barriers and facilitators of community-based health insurance policy renewal in low and middle-income countries?".

METHODS

We searched PubMed, Scopus, and Hinari electronic databases in line with the PRISMA guidelines. Our search was limited to studies published from January 2005 to February 2020 in the English language. Additional studies and grey literature were searched using Google Scholar. We included quantitative, qualitative, and mixed-method studies in the review. We assessed the methodological quality of the studies using standardized appraisal tools. The findings were synthesized inductively using a thematic analysis approach.

RESULTS

Our searches retrieved 2386 records among which 27 were included in the review. The thematic synthesis identified six major themes that influence the decision to renew scheme policy: socio-demographic factors; scheme-related awareness and understanding; participation in scheme and other voluntary groupings, need and benefit factors; health-care quality; and scheme operation and policy.

CONCLUSION

Lower socioeconomic status, poor quality of health care, lack of benefit from the scheme, lack of trust in scheme management, and dissatisfaction with scheme services are important barriers for community-based health insurance policy renewal. Better education, understanding the principles of the scheme, active participation in the scheme, and long-term illness experience of member households facilitate renewal decisions. These are important areas of intervention for governments and other relevant stakeholders to retain members and maintain the sustainability of the schemes.

REGISTRATION

The review protocol was registered in PROSPERO international prospective register of systematic reviews (ID = CRD42020168971).

Examining the level and inequality in health insurance coverage in 36 sub-Saharan African countries

INTRODUCTION

Low/middle-income countries (LMICs) in sub-Saharan Africa (SSA) are increasingly turning to public contributory health insurance as a mechanism for removing financial barriers to access and extending financial risk protection to the population. Against this backdrop, we assessed the level and inequality of population coverage of existing health insurance schemes in 36 SSA countries.

METHODS

Using secondary data from the most recent Demographic and Health Surveys, we computed mean population coverage for any type of health insurance, and for specific forms of health insurance schemes, by country. We developed concentration curves, computed concentration indices, and rich-poor differences and ratios to examine inequality in health insurance coverage. We decomposed the concentration index using a generalised linear model to examine the contribution of household and individual-level factors to the inequality in health insurance coverage.

RESULTS

Only four countries had coverage levels with any type of health insurance of above 20% (Rwanda-78.7% (95% CI 77.5% to 79.9%), Ghana-58.2% (95% CI 56.2% to 60.1%), Gabon-40.8% (95% CI 38.2% to 43.5%), and Burundi 22.0% (95% CI 20.7% to 23.2%)). Overall, health insurance coverage was low (7.9% (95% CI 7.8% to 7.9%)) and pro-rich; concentration index=0.4 (95% CI 0.3 to 0.4, p<0.001). Exposure to media made the greatest contribution to the pro-rich distribution of health insurance coverage (50.3%), followed by socioeconomic status (44.3%) and the level of education (41.6%).

CONCLUSION

Coverage of health insurance in SSA is low and pro-rich. The four countries that had health insurance coverage levels greater than 20% were all characterised by substantial funding from tax revenues. The other study countries featured predominantly voluntary mechanisms. In a context of high informality of labour markets, SSA and other LMICs should rethink the role of voluntary contributory health insurance and instead embrace tax funding as a sustainable and feasible mechanism for mobilising resources for the health sector.

Willingness to join and pay for community-based health insurance and associated determinants among urban households of Cameroon: case of Douala and Yaounde

Background

The risks associated with direct health spending are high in Cameroon, where almost all household income is spent on health care. Moreover, there is no real social security in Cameroon because of the lack of a universal social protection system.

Objectives

This study aimed to assess the willingness of Cameroonian urban dwellers to subscribe and the amount to pay for voluntary (VCHI) or compulsory community-based health insurance (CCHI).

Methods

A cross-sectional study based on a three-stage stratified cluster random sampling design using a bidding game style based on the contingent valuation approach was performed to in the two largest urban areas of Cameroon (Douala and Yaoundé) evaluate the willingness to pay for the VCHI and CCHI.

Results

The results shown that 46% of respondent were willing to join the CCHI and 41% for VCHI. Furthermore, household income, working sector, chronic disease, health priority, and family size were factors mostly associated (p < 0.001) with the willingness to join CCHI or VCHI. Increase in household income has a positive effect on household's desire for both CCHI and VCHI. While for VCHI, increase of children number resulted in an increment of the premium, contrary to the occurrence of chronic ailment which led in the decrease of the bid.

Conclusions

From the results, it is clear that city dwellers in Cameroon are ready to join and pay for community health insurance. This willingness was related to their financial power which resulted in an average insurance premium of 9.03 USD and 8.17 USD, respectively for CCHI and VCHI. That bid was found to be enough for an implementation of these types of health insurance in Cameroon.

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.

Community-Based Health Insurance Membership Dropout Rate and Associated Factors in Dera District, Northwest Ethiopia

Background

Community-based health insurance is an emerging strategy for providing financial protection against health-related poverty. They have developed into alternative health financing mechanisms for out-of-pocket expenses in low- and middle-income countries. Hence, the aim of this study was to assess the drop-out rate of community-based health insurance membership and associated factors in Dera district, Northwest Ethiopia, 2020.

Methods

Through systematic random sampling techniques, a community-based cross-sectional study was conducted on 584 participants. A structured interviewer-based administered questionnaire was used for data collection. EpI data is used for data entry, while SPSS 20 version is used for analysis. P-value <0.2 binary logistic regression was entered into multivariable logistic regression. Variables with a P-value of <0.05 and a 95% confidence level were considered to be significantly associated with the outcome variable.

Results

The CBHI dropout rate in the district is calculated to be 37.3% (95% CI: 34, 41%) in the district. Length of enrollment, ≥4 years in the CBHI program (AOR=0.39, 95% CI: 0.26, 0.59), households visit the health facilities 4–6 times a year (AOR=1.92, 95% CI: 1.10, 3.32), have no access to the hospital (AOR=1.68, 95% CI: 1.02, 2.77), knowledge of CBHI (AOR=1.93, 95% CI: 1.32, 2.82) and official position holder for decision-making in the households (AOR=2.07, 95% CI: 1.33, 3.23) were factors associated with CBHI dropout rate in the scheme.

Conclusion

This finding confirmed that the CBHI dropout rate in the district was high. Length of enrollment, health facility visit, hospital accessibility, knowledge of CBHI, and official position holders used for decision-making are significantly associated with the CBHI dropout rate. Therefore, emphasis should be given on improving members’ understanding of the CBHI package of benefits; increasing access to hospitals and empowering women will increase the utilization of CBHI. In addition, the quality of care for CBHI patients can be improved when they had access to health services.

Perceived Quality of Healthcare and Availability of Supplies Determine Household-Level Willingness to Join a Community-Based Health Insurance Scheme in Amhara Region, Ethiopia

Purpose

The Ethiopian health system has been challenged by a shortage of funds and is heavily reliant on foreign donation. However, voluntary community-based health insurance (CBHI) has been implemented to reach and cover the very large agricultural sector since 2010. Thus, the level of acceptability of the scheme needs to be regularly assessed through households’ willingness to join before the nationwide rollout of the scheme. This study was intended to assess the level of willingness to join in community-based health insurance and associated factors in northwest Ethiopia.

Patients and Methods

Using a pretested structured questionnaire, a cross-sectional community-based study was conducted in 2017 in Amhara Region, northwest Ethiopia. Using a multi-stage sampling method, from 15 clusters in which CBHI was implemented, 1,179 households without CBHI membership were included as a sample for the study. Bivariable and multivariable logistic regression was fitted to assess the association between predictor variables and the outcome of interest.

Results

Out of the total (1,179) participants, 60.5% (713) were willing to join the scheme. Households’ occupation (AOR=2.26; 95% CI:=1.12–5.07), perceived good (AOR=2.21; 95% CI:=1.53−3.21), and medium (AOR=1.44; 95% CI=1.22–2.0) healthcare quality and richer wealth status (AOR=1.72; 95% CI=1.08–2.73) were associated with higher odds of willingness to join the scheme.

Conclusion

As The study revealed that level of willingness to join is lower compared to other studies. Therefore, social protection activities for the low-income population and enhancement of the capacity of health facilities are crucial.

Willingness to Pay for Community-Based Health Insurance Scheme and Associated Factors Among Rural Communities in Gemmachis District, Eastern Ethiopia

Background

In sub-Saharan Africa, out-of-pocket expenditures constitute approximately 40% of total healthcare expenditures, imposing huge financial burdens on the poor. To tackle the effects of out-of-pocket payment for healthcare services, Ethiopia has been focusing on implementation and expansion of a community-based health insurance (CBHI) program since 2011. This study assessed willingness to pay for CBHI scheme and associated factors among rural communities in Gemmachis district, eastern Ethiopia.

Methods

Community-based cross-sectional study was conducted among 446 randomly selected participants in Gemmachis district from April 1 to April 30, 2019. Data were collected from participants using pretested structured questionnaires through face-to-face interview. Data were entered into EpiData version 3.1 and analyzed using SPSS version 24. Bivariable and multivariable logistic regression analyses were conducted to identify factors associated with willingness to pay for CBHI.

Results

A total of 440 (98.7%) participants were involved in the study. Three in every four (74.8%) participants were willing to pay for CBHI (95% CI: 70.7%, 78.9%). Primary education (AOR=5.1, 95% CI: 2.4, 11.1), being merchant (AOR=0.23, 95% CI: 0.10, 0.51), housewife (AOR=3.8, 95% CI: 1.3, 11.0), poor (AOR=2.5, 95% CI: 1.3, 4.7), illness in the last one year (AOR=3.1, 95% CI, 1.9, 5.2), good knowledge about CBHI (AOR=2.3, 95% CI: 1.5, 3.6) and access to public health facility (AOR=2.0,95% CI: 1.1, 3.7) were all significantly associated with willingness to pay for CBHI.

Conclusion

A significant proportion of participants were willing to pay for CBHI scheme. Education, occupation, wealth status, illness in the last one year, knowledge about CBHI and access to healthcare facility were factors significantly associated with willingness to pay for CBHI. If the scheme is to serve as a means to provide access to health service, the premium for membership should be tailored and customized by individual socioeconomic factors.

Determinants of enrollment in community based health insurance among Households in Tach-Armachiho Woreda, North Gondar, Ethiopia, 2019

BACKGROUND

Recently in Ethiopia, there is an increasing movement to implement community based health insurance scheme as integral part of health care financing and remarkable movements has resulted in the spread of the scheme in different parts of the country. Despite such increasing effort, recent empirical evidence shows enrolment has remained low. To identify determinants of enrollment in community based health insurance among households in Tach-Armachiho Woreda, North Gondar, Ethiopia, 2019.

METHODS

A community based unmatched case control study was conducted Tach-Armachiho Woreda from March to May 2019 among 262 participants (88 cases and 174 controls with case control ratio of 1:2). Study subjects were selected using multi-stage sampling technique. Data were collected using a pretested, structured interviewer administered questioner. Data were entered to Epi-info 7 and exported to SPSS version 20 for analysis. Bivariable and multivariable logistic regression model were used to see the determinants of enrollment in community based health insurance. Adjusted odds ratio with 95% CI at p-value <0.05 in multivariable logistics regression analysis factors were identified as statistically significantly associated.

RESULT

Female headed households (AOR = 2.79, 95% CI = 1.16, 6.69), Increase in Age (AOR = 1.09, 95% CI = 1.05, 1.13) and negative perception towards community based health insurance (AOR = 0.062, 95% CI = .030, .128) were found to be significant predictors.

CONCLUSION

This study provides evidence that the decision to enroll in the scheme is shaped by age and a combination of household head sex and perception towards community based health insurance. Implementers aimed at enhancing enrolment ought to act on the bases of this findings.

Monitoring Process Barriers and Enablers Towards Universal Health Coverage Within the Sustainable Development Goals: A Systematic Review and Content Analysis

BACKGROUND

This study builds on previous successes of using tracer indicators in tracking progress towards Universal Health Coverage (UHC) and complements them by offering a more detailed tool that would allow us to identify potential process barriers and enablers towards such progress.

PURPOSE

This tool was designed accounting for possibly available data in low- and middle-income counties.

METHODOLOGY

A systematic review of relevant studies was carried out using PubMed, ISI Web of Science, Embase, Scopus, and ProQuest databases with no time restriction. The search was complemented by a scoping review of grey literature, using the World Bank and the World Health Organization (WHO) official reports depositories. Next, an inductive content analysis identified determinants influencing the progress towards UHC and its relevant indicators. The conceptual proximity between indicators and categorized themes was explored through three focus group discussion with 18 experts in UHC. Finally, a comprehensive list of indicators was converted into an assessment tool and refined following three consecutive expert panel discussions and two rounds of email surveys.

RESULTS

A total of 416 themes (including indicators and determinants factors) were extracted from 166 eligible articles and documents. Based on conceptual proximity, the number of factors was reduced to 119. These were grouped into eight domains: social infrastructure and social sustainability, financial and economic infrastructures, population health status, service delivery, coverage, stewardship/governance, and global movements. The final assessment tool included 20 identified subcategories and 88 relevant indicators.

CONCLUSION

Identified factors in progress towards UHC are interrelated. The developed tool can be adapted and used in whole or in part in any country. Periodical use of the tool is recommended to understand potential factors that impede or advance progress towards UHC.

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.

Health Care Utilization and Expenditure in War Survivors

Background: To describe the utilization and out-of-pocket (OOP) payments of war survivors receiving health care services and its determinants. Methods: A cross-sectional study was carried out by systematic random sampling at national level (n = 3079) on healthcare utilization in war survivors on their last received services. A validated questionnaire was used to gather the information of inpatient and outpatient healthcare services and OOP payment. The data were analyzed to indicate the determinants of health utilization and expenses. Results: Health care utilization was reported in 91.6% (n = 2822). The majority (82.5%) received one or two services in their last visits, mostly related to physician visits and medications (65.97%). Health care utilization was higher than general population annually, especially in physician visit (6.6 versus 4.89), medication (5.1 versus 3.6), and hospitalization (0.78 versus 0.15). About 20.2% (n = 599) of the study population paid out of their pocket for their last medical care services. The frequency of OOP payment was greater for physician visit and medication. Payment for hospitalization, imaging, and lab tests were more significantly associated with proceeding to reimburse the expenses (P<0.001). The median OOP payment was US$10.8 (interquartile range US$20.6). Gender (P=0.003), area of residence (P=0.01) and being war victims (P=0.005) were the significant determinants for both OOP payments and reclaiming the expenditure. Higher amount of payments (P<0.001) and more received health services (P=0.002) were also important factors in reclaiming the expenditure. Conclusion: Both outpatient services and hospital admission are more frequent among war survivors compared to the general Iranian population. Future studies should attempt to explore the reasons.

Determinants of enrollment decision in the community-based health insurance, North West Ethiopia: a case-control study

OBJECTIVE

To identify the determinants for enrollment decision in the community-based health insurance program among informal economic sector-engaged societies, North West Ethiopia.

METHOD

Unmatched case-control study was conducted on 148 cases (member-to-insurance) and 148 controls (not-member-to-insurance program) from September 1 to October 30,2016. To select the villages and households, stratified then simple random sampling method was employed respectively. The data were entered in to Epi-info version 7 and exported to SPSS version 20 for analysis. Descriptive statistics, bi-variable, and multi-variable logistic regression analyses were computed to describe the study objectives and identify the determinants of enrolment decision for the insurance program. Odds ratio at 95% CI was used to describe the association between the independent and outcome variables.

RESULTS

A total of 296 respondents (148 cases and 148 controls) were employed. The mean age for both cases and controls were 42 ± 11.73 and 40 ± 11.37 years respectively. Majority of respondents were males (87.2% for cases and 79% for controls). Family size between 4 and 6 (AOR = 2.26; 95% CI: 1.04, 4.89), history of illness by household (AOR = 3.24; 95% CI: 1.68, 6.24), perceived amount of membership contribution was medium (AOR = 2.3; 95% CI: 1.23, 4.26), being married (AOR = 6; 95% CI:1.43, 10.18) and trust on program (AOR = 4.79; 95% CI: 2.40, 9.55) were independent determinants for increased enrollment decision in the community-based health insurance. While, being merchant (AOR = 0.07; 95% CI: 0.09, 0.6) decreased the enrollment decision.

CONCLUSION

Societies' enrollment decision to community-based health insurance program was determined by demographic, social, economic and political factors. Households with large family sizes and farmers in the informal sector should be given maximal attention for intensifying enrollment decision in the insurance program.

Determinants of antenatal care utilisation in sub-Saharan Africa: a systematic review

OBJECTIVES

To identify the determinants of antenatal care (ANC) utilisation in sub-Saharan Africa.

DESIGN

Systematic review.

DATA SOURCES

Databases searched were PubMed, OVID, EMBASE, CINAHL and Web of Science.

ELIGIBILITY CRITERIA

Primary studies reporting on determinants of ANC utilisation following multivariate analysis, conducted in sub-Saharan Africa and published in English language between 2008 and 2018.

DATA EXTRACTION AND SYNTHESIS

A data extraction form was used to extract the following information: name of first author, year of publication, study location, study design, study subjects, sample size and determinants. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist for reporting a systematic review or meta-analysis protocol was used to guide the screening and eligibility of the studies. The Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies was used to assess the quality of the studies while the Andersen framework was used to report findings.

RESULTS

74 studies that met the inclusion criteria were fully assessed. Most studies identified socioeconomic status, urban residence, older/increasing age, low parity, being educated and having an educated partner, being employed, being married and Christian religion as predictors of ANC attendance and timeliness. Awareness of danger signs, timing and adequate number of antenatal visits, exposure to mass media and good attitude towards ANC utilisation made attendance and initiation of ANC in first trimester more likely. Having an unplanned pregnancy, previous pregnancy complications, poor autonomy, lack of husband's support, increased distance to health facility, not having health insurance and high cost of services negatively impacted the overall uptake, timing and frequency of antenatal visits.

CONCLUSION

A variety of predisposing, enabling and need factors affect ANC utilisation in sub-Saharan Africa. Intersectoral collaboration to promote female education and empowerment, improve geographical access and strengthened implementation of ANC policies with active community participation are recommended.

Determinants of health insurance enrolment in Ghana: evidence from three national household surveys

In 2003, Ghana implemented a National Health Insurance Scheme (NHIS) to move towards Universal Health Coverage. NHIS enrolment is mandatory for all Ghanaians, but the most recent estimates show that coverage stands under 40%. The evidence on the relationship between socio-economic characteristics and NHIS enrolment is mixed, and comes mainly from studies conducted in a few areas. Therefore, in this study we investigate the socio-economic determinants of NHIS enrolment using three recent national household surveys. We used data from the Ghanaian Demographic and Health Survey conducted in 2014, the Multiple Indicator Cluster Survey conducted in 2011 and the sixth wave of the Ghana Living Standard Survey conducted in 2012-13. Given the multilevel nature of the three databases, we use multilevel logistic regression models to estimate the probability of enrolment for women and men separately. We used three levels of analysis: geographical clusters, household and individual units. We found that education, wealth, marital status-and to some extent-age were positively associated with enrolment. Furthermore, we found that enrolment was correlated with the type of occupation. The analyses of three national household surveys highlight the challenges of understanding the complex dynamics of factors contributing to low NHIS enrolment rates. The results indicate that current policies aimed at identifying and subsidizing underprivileged population groups might insufficiently encourage health insurance enrolment.

Determinants of Enrolment and Renewing of Community-Based Health Insurance in Households With Under-5 Children in Rural South-Western Uganda

BACKGROUND

The desire for universal health coverage in developing countries has brought attention to communitybased health insurance (CBHI) schemes in developing countries. The government of Uganda is currently debating policy for the national health insurance programme, targeting the integration of existing CBHI schemes into a larger national risk pool. However, while enrolment has been largely studied in other countries, it remains a generally under-covered issue from a Ugandan perspective. Using a large CBHI scheme, this study, therefore, aims at shedding more light on the determinants of households' decisions to enrol and renew membership in these schemes.

METHODS

We collected household data from 464 households in 14 villages served by a large CBHI scheme in southwestern Uganda. We then estimated logistic and zero-inflated negative binomial (ZINB) regressions to understand the determinants of enrolment and renewing membership in CBHI, respectively.

RESULTS

Results revealed that household's socioeconomic status, husband's employment in rural casual work (odds ratio [OR]: 2.581, CI: 1.104-6.032) and knowledge of health insurance premiums (OR: 17.072, CI: 7.027-41.477) were significant predictors of enrolment. Social capital and connectivity, assessed by the number of voluntary groups a household belonged to, was also positively associated with CBHI participation (OR: 5.664, CI: 2.927-10.963). More positive perceptions on insurance (OR: 2.991, CI: 1.273-7.029), access to information were also associated with enrolment and renewing among others. Burial group size and number of burial groups in a village, were all significantly associated with increased the likelihood of renewing CBHI.

CONCLUSION

While socioeconomic factors remain important predictors of participation in insurance, mechanisms to promote inclusion should be devised. Improving the participation of communities can enhance trust in insurance and eventual coverage. Moreover, for households already insured, access to correct information and strengthening their social network information pathways enhances their chances of renewing.

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.

Social Determinants and Disparities in Active Aging Among Older Taiwanese

This study assesses equity in active aging across social determinants among older Taiwanese. The data were collected from face-to-face interviews with adults aged 55 years or more in Taiwan in 2017 (n = 738). A total of 30 individual-level Taiwan active aging indicators were chosen, and the relationship between social determinants and active aging indicators were analyzed by logistic regression models. Women were more likely to participate in volunteering and other social groups and in lifelong learning activities, whereas men were more likely to be employed, to engage in physical activity, to feel safe from violence, and to use preventive care. Higher education was related to higher employment, social participation, independent living, lifelong learning, and a lower likelihood of poverty and severe cognitive impairment. Those living in rural areas were more likely to be employed, perform physical activity, feel physically safe, have better mental well-being, and have higher social respect and social integration ratings, whereas living in urban areas was related to greater access to medical care, owning assets, less severe cognitive impairment, greater likelihood of using information and communications technology, higher level of education, and higher access to convenient transportation. The significant disparities that exist in active aging may suggest inequality.

Primary healthcare system performance in low-income and middle-income countries: a scoping review of the evidence from 2010 to 2017

INTRODUCTION

The 2018 Astana Declaration reaffirmed global commitment to primary healthcare (PHC) as a core strategy to achieve universal health coverage. To meet this potential, PHC in low-income and middle-income countries (LMIC) needs to be strengthened, but research is lacking and fragmented. We conducted a scoping review of the recent literature to assess the state of research on PHC in LMIC and understand where future research is most needed.

METHODS

Guided by the Primary Healthcare Performance Initiative (PHCPI) conceptual framework, we conducted searches of the peer-reviewed literature on PHC in LMIC published between 2010 (the publication year of the last major review of PHC in LMIC) and 2017. We also conducted country-specific searches to understand performance trajectories in 14 high-performing countries identified in the previous review. Evidence highlights and gaps for each topic area of the PHCPI framework were extracted and summarised.

RESULTS

We retrieved 5219 articles, 207 of which met final inclusion criteria. Many PHC system inputs such as payment and workforce are well-studied. A number of emerging service delivery innovations have early evidence of success but lack evidence for how to scale more broadly. Community-based PHC systems with supportive governmental policies and financing structures (public and private) consistently promote better outcomes and equity. Among the 14 highlighted countries, most maintained or improved progress in the scope of services, quality, access and financial coverage of PHC during the review time period.

CONCLUSION

Our findings revealed a heterogeneous focus of recent literature, with ample evidence for effective PHC policies, payment and other system inputs. More variability was seen in key areas of service delivery, underscoring a need for greater emphasis on implementation science and intervention testing. Future evaluations are needed on PHC system capacities and orientation toward social accountability, innovation, management and population health in order to achieve the promise of PHC.

Determinants of community-based health insurance implementation in west Gojjam zone, Northwest Ethiopia: a community based cross sectional study design

BACKGROUND

In most developing countries, healthcare cost is mainly paid at the time of sickness and out-of-pocket at the point of service delivery which potentially could inhibit access. The total economic cost of illness for households is also estimated to be frequently above 10% of household income which is categorized as catastrophic. The purpose of this study was to assess factors that determine decisions to join the community based health insurance in West Gojjam zone.

METHODS

A community based cross sectional survey was conducted to collect data from 690 household heads using a multistage sampling technique. A binary logistic regression was used to identify the determinants of household decisions for CBHI enrollment.

RESULTS

Out of the participants, 58% were CBHI members. Besides, family size (AOR = 1.17; CI = 1.02-1.35), average health status (AOR = .380; CI = .179-.805), chronic disease (AOR = 3.42; CI = 1.89-6.19); scheme benefit package adequacy (AOR = 2.17; CI = 1.20-3.93), perceived health service quality (AOR = 3.69; CI = 1.77-7.69), CBHI awareness (AOR = 4.90; CI = 1.65-14.4); community solidarity (AOR = 3.77; CI = 2.05-6.92) and wealth (AOR = 3.62; CI = 1.67-7.83) were significant determinant factors for enrolment in the community based health insurance scheme.

CONCLUSION

CBHI awareness, family health status, community solidarity, quality of service of health institutions, and wealth were major factors that most determine the household decisions to enroll in the system. Therefore, in-depth and sustainable awareness creation programs on the scheme; stratified premium- based on economic status of households; incorporation of social capital factors, particularly building community solidarity in the scheme implementation are vital to enhance sustainable enrollment. As perceived family health status and the existence of chronic disease were also found significant determinants of enrollment, the Government might have to look for options to make the scheme mandatory.

Willingness to pay for Community Health Insurance among taxi drivers in Kampala City, Uganda: a contingent evaluation

BACKGROUND

Community Health Insurance (CHI) schemes have improved the utilization of health services by reducing out-of-pocket payments (OOP). This study assessed income quintiles for taxi drivers and the minimum amount of premium a driver would be willing to pay for a CHI scheme in Kampala City, Uganda.

METHODS

A cross-sectional study design using contingent evaluation was employed to gather primary data on willingness to pay (WTP). The respondents were 312 randomly and 9 purposively selected key informants. Qualitative data were analyzed using conceptual content analysis while quantitative data were analyzed using MS Excel 2016 to generate the relationship of socio-demographic variables and WTP.

RESULTS

Close to a half (47.9%) of the respondents earn above UGX 500,000 per month (fifth quintile), followed by 24.5% earning a monthly average of UGX 300,001-500,000 and the rest (27.5%) earn less. Households in the fourth and fifth quintiles (38.4% and 20%, respectively) are more willing to join and pay for CHI. A majority of the respondents (29.9%) are willing to pay UGX, 6,001-10,000 while 22.3% are willing to pay between UGX 11,001 and UGX 20,000 and 23.2% reported willing to pay between UGX 20,001 and UGX 50,000 per person per month. Only 18.8% of the respondents recorded WTP at least UGX 5,000 and 5.8% reported being able to pay above UGX 50,000 per month (1 USD=UGX 3,500). Reasons expressed for WTP included perceived benefits such as development of health care infrastructure, risk protection, and reduced household expenditures. Reasons for not willing to pay included corruption, mistrust, inadequate information about the scheme, and low involvement of the members.

CONCLUSION

There is a possibility of embracing the scheme by the taxi drivers and the rest of the informal sector of Uganda if the health sector creates adequate awareness.

Sociodemographic determinants of health insurance enrolment and dropout in urban district of Ghana: a cross-sectional study

BACKGROUND

Earlier studies have found significant associations between sociodemographic factors and enrolment in the National Health Insurance Scheme (NHIS) in Ghana. These studies were mainly household surveys in relatively rural areas with high incidence of poverty. To expand the scope of existing evidence, this paper examines policy design factors associated with enrolment and dropout of the scheme in an urban poor district using routine secondary data.

METHODS

This study is a cross-sectional quantitative analysis of 2014-2016 NHIS enrolment data of the Ashiedu Keteke district office. Descriptive and multivariate logistic regression analyses were performed to examine sociodemographic factors associated with NHIS enrolment and dropout.

RESULTS

A total of 215,724 individuals enrolled in the NHIS over the period under study, of which 98,232 (46%) were new members. About 41% of existing members in 2014 dropped out of the NHIS in 2015 and 53% of those in 2015 dropped out in 2016. The indigents (core poor) are significantly more likely to enrol and to drop out of the NHIS. However, the males, informal sector employees, social security and national insurance trust (SSNIT) contributors, and the aged (70+ years) are significantly less likely to enrol in the NHIS but more likely to retain coverage.

CONCLUSIONS

A considerable number of members are dropping out of the NHIS. The indigents in particular, are increasingly enrolling in and dropping out of the NHIS whilst the males, informal sector employees, SSNIT contributors and the aged are not enrolling as expected but increasingly retaining coverage. Policy reforms to ensuring continued growth towards realization of universal health coverage should take these factors into consideration.

Is enrolment in the national health insurance scheme in Ghana pro-poor? Evidence from the Ghana Living Standards Survey

OBJECTIVES

This article examines equity in enrolment in the Ghana National Health Insurance Scheme (NHIS) to inform policy decisions on progress towards realisation of universal health coverage (UHC).

DESIGN

Secondary analysis of data from the sixth round of the Ghana Living Standards Survey (GLSS 6).

SETTING

Household based.

PARTICIPANTS

A total of 16 774 household heads participated in the GLSS 6 which was conducted between 18 October 2012 and 17 October 2013.

ANALYSIS

Equity in enrolment was assessed using concentration curves and bivariate and multivariate analyses to determine associated factors.

MAIN OUTCOME MEASURE

Equity in NHIS enrolment.

RESULTS

Survey participants had a mean age of 46 years and mean household size of four persons. About 71% of households interviewed had at least one person enrolled in the NHIS. Households in the poorest wealth quintile (73%) had enrolled significantly (p<0.001) more than those in the richest quintile (67%). The concentration curves further showed that enrolment was slightly disproportionally concentrated among poor households, particularly those headed by males. However, multivariate logistic analyses showed that the likelihood of NHIS enrolment increased from poorer to richest quintile, low to high level of education and young adults to older adults. Other factors including sex, household size, household setting and geographic region were significantly associated with enrolment.

CONCLUSIONS

From 2012 to 2013, enrolment in the NHIS was higher among poor households, particularly male-headed households, although multivariate analyses demonstrated that the likelihood of NHIS enrolment increased from poorer to richest quintile and from low to high level of education. Policy-makers need to ensure equity within and across gender as they strive to achieve UHC.

Looking at the bigger picture: how the wider health financing context affects the implementation of the Tanzanian Community Health Funds

In Tanzania, the health financing system is extremely fragmented with strategies in place to supplement funds provided from the central level. One of these strategies is the Community Health Fund (CHF), a voluntary health insurance scheme for the informal rural sector. As its implementation has been challenging, we investigated different CHF implementation practices and how these practices and the wider health financing context affect CHF implementation and potentially enrolment. Two councils were purposively selected for this study. Routine data relevant for understanding CHF implementation in the wider health financing context were collected at council and public health facility level. Additionally, an economic costing approach was used to estimate CHF administration cost and analyse its financing sources. Our results showed the importance of considering different CHF implementation practices and the wider health financing context when looking at CHF performance. Exemption policies and healthcare-seeking behaviour influenced negatively the maximum potential enrolment rate of the voluntary CHF scheme. Higher revenues from user fees, user fee policies and fund pooling mechanisms might have furthermore set incentives for care providers to prioritize user fees over CHF revenues. Costing results clearly pointed out the lack of financial sustainability of the CHF. The financial analysis however also showed that thanks to significant contributions from other health financing mechanisms to CHF administration, the CHF could be left with more than 70% of its revenues for financing services. To make the CHF work, major improvements in CHF implementation practices would be needed, but given the wider health financing context and healthcare-seeking behaviours, it is questionable whether such improvements are feasible, scalable and value for money. Thus, our results call for a reconsideration of approaches taken to address the challenges in health financing and demonstrate that the CHF cannot be looked at as a stand-alone system.

Willingness to pay for community-based health insurance and associated factors among rural households of Bugna District, Northeast Ethiopia

OBJECTIVE

Community based health insurance schemes are becoming recognized as powerful method to achieve universal health coverage and reducing the financial catastrophic shock of the community. Therefore, this study aimed to assess willingness to pay for community-based health insurance and associated factors among rural households of Bugna District, Ethiopia.

RESULTS

A total of 532 study participants were included in the study. The finding indicated that 77.8% of the households were willing to pay for the community-based health insurance. The average amount of money the households were willing to pay per household per annum was 233 ETB ($11.12 USD). The result of the study also revealed that attending formal education[ß = 3.20; 95% CI = 1.87, 4.53], history of illness [ß = 2.52; 95% CI = 1.29, 3.75], household size [ß = 0.408; 95% CI = 0.092, 0.724], awareness about the scheme [ß = 2.96; 95% CI = 1.61, 4.30], and wealth status [ß = 5.55; 95% CI = 4.19, 6.90] were factors significantly associated with willingness to pay. Therefore, enhancing awareness of the community about the scheme, considering the amount of premium as per household family size and wealth status might increase household's willingness to pay for community-based health insurance.

Potential demand for voluntary community-based health insurance improvement in rural Lao People's Democratic Republic: A randomized conjoint experiment

INTRODUCTION

In Lao People's Democratic Republic (PDR), community-based health insurance (CBHI) is the only voluntary insurance scheme; it typically targets self-employed people, most of whom reside in rural areas and are dependent on agricultural activities for subsistence. However, until very recently, the enrollment rate has fallen short and failed to reach a large percentage of the target group. To promote the CBHI scheme and increase demand, some supporting components should be considered for inclusion together with the health infrastructure component.

OBJECTIVES

This paper provides empirical evidence that the benefit package components of hypothetical CBHI schemes have causal effects on enrollment probabilities. Furthermore, we examine the distribution of willingness to pay (WTP) in response to policy changes based on a sample of 5,800 observations.

METHODS

A randomized conjoint experiment is conducted in rural villages in Savannakhet Province, Lao PDR, to elicit stated preference data. Each respondent ranks three options-two hypothetical alternatives and the CBHI status quo scheme. The levels of seven attributes-insurance coverage for medical consultations, hospitalizations, traffic accidents, pharmaceuticals and transportation; premiums; and prepaid discounts-are randomly and simultaneously assigned to the two alternatives.

RESULTS

The findings suggest that the average WTP is at least as large as 10.9% of the per capita income of those who live in rural areas, which is higher than the WTP for health insurance averaged across low- and middle-income countries (LMICs) in the literature. The component of round-trip transportation insurance coverage has a significant effect on WTP distribution, particularly increasing the share of the highest bin.

CONCLUSION

Therefore, the low CBHI scheme enrollment rate in Lao PDR does not necessarily imply low demand among the targeted population, as the finding from the WTP analysis illustrates potential demand for the CBHI scheme. Specifically, if transportation is addressed, enrollment is likely to significantly increase.

Electronic health record system in the public health care sector of South Africa: A systematic literature review

BACKGROUND

 South Africa is planning to implement the National Health Insurance (NHI) scheme in the near future. The NHI is intended to improve the accessibility of quality health care services for all South African citizens. For the NHI to achieve this objective, an electronic health record (EHR) system to register and track patients who visit different health care providers will have to be developed.

AIM

 To identify critical success factors for the implementation of EHRs in South Africa's public health care sector.

SETTING

 This study reviewed studies on EHR implementation in African countries published between 2006 and 2017.

METHODS

 The study made use of a systematic literature review to identify barriers to the implementation of EHRs in the public health care sector.

RESULTS

 Fifteen articles were included in the study. The study identified technical, social and environmental barriers to the implementation of EHRs. The barriers could further be broken down into lack of supporting infrastructure; user training and commitment; political influence or strategy; legislation and regulations; and the lack of a framework for implementation and management of EHRs. The study suggests six main recommendations for the successful implementation of EHRs in South Africa's public health care sector.

CONCLUSION

 The study recommended investing in alternative infrastructure facilities, incentivising the health informatics field to attract and retain information and communication technology professionals and to encourage the participation of all stakeholders in the development process to develop context-relevant e-health implementation strategies, legislation and frameworks. Government should also allocate separate budgets for e-health projects.

How does membership in local savings groups influence the determinants of national health insurance demand? A cross-sectional study in Kisumu, Kenya

BACKGROUND

Rotating savings and credit associations (ROSCAs) are highly active in many sub-Saharan African countries, serving as an important gateway for coping with financial risk. In light of the Kenya's National Hospital Insurance Fund's (NHIF's) strategy of targeting ROSCAs for membership enrolment, this study sought to estimate how ROSCA membership influences the determinants of voluntary health insurance enrolment.

METHODS

A cross-sectional survey of 444 households was carried out in Kisumu City between July and August 2016. A structured questionnaire was administered on health insurance membership, household attributes, headship characteristics and health-seeking behaviour. We assessed the influence of ROSCA membership on the associations between NHIF enrolment and the explanatory variables using univariate logistic regression.

RESULTS

The study found that education was associated with NHIF demand regardless of ROSCA membership. Both ROSCA and non-ROSCA households with high socioeconomic status showed stronger health insurance demand compared with poorer households; there was, however, no evidence that the strength of this association was influenced by ROSCA status (p-value = 0.47). Participants who were self-employed were significantly less likely to enrol into the NHIF if they did not belong to a ROSCA (interaction test p-value = 0.03). NHIF enrolment was found to be lower among female-headed households. There was a borderline effect of ROSCA membership on this association, with a lower odds ratio amongst non-ROSCA members (p-value = 0.09): the low treatment numbers amongst the insured infers that ROSCA membership may play a role on the association between gender and NHIF demand.

CONCLUSIONS

Our findings suggest that ROSCA membership may play a role in increasing health insurance demand amongst some traditionally under-represented groups such as women and the self-employed. However, the strategy of targeting ROSCAs to increase national health insurance enrolment may yield exiguous results, given that ROSCA membership is itself influenced by several non-observable factors - such as time-availability and self-selection. It is therefore important to anchor outreach to ROSCAs within a broader, multi-pronged approach that targets households within their social, economic and political realities.

Trends and characteristics of enrolment in the National Health Insurance Scheme in Ghana: a quantitative analysis of longitudinal data

Background

In 2004, Ghana started experimenting a National Health Insurance Scheme (NHIS) to reduce  out-of-pocket payment for healthcare. Like many other social health insurance schemes in Africa, the NHIS is striving for universal health coverage (UHC). This paper examines trends and characteristics of enrolment in the scheme to inform policy decisions on attainment of UHC.

Methods

We conducted trend analysis of longitudinal enrolment data of the NHIS for the period, 2010-2017. Descriptive statistics were used to examine trends and characteristics of enrolment by geographical region and member groups.

Results

Over the 8-year period, the population enrolled in the scheme increased from 33% (8.2 million) to 41% (11.3 million) between 2010 and 2015 and dropped to 35% (10.3 million) in 2017. Members who renewed their membership increased from 44% to 75.4% between 2010 and 2013 and then dropped to 73% in 2017. On average, the urban regions had significantly higher number of new enrolments than the rural ones. Similarly, the urban and peri-urban regions recorded significantly higher number of renewals than the other regions. In addition, persons below the age of 18 years and the informal sector workers had significantly higher number of enrolment than any other member group.

Conclusions

Enrolment in the NHIS is declining and there are significant differences among geographical regions and member groups. Managers of the NHIS need to enforce the mandatory enrolment provision in the Act governing the scheme, employ innovative strategies such as mobile phone application for registration and renewals and address delays in healthcare provider claims to improve enrolment.

Barriers and facilitators to implementation of essential health benefits package within primary health care settings in low-income and middle-income countries: A systematic review

BACKGROUND

One of the key requirements for achieving universal health coverage is the proper design and implementation of essential health benefits package (EHPs). We systematically reviewed the evidence on barriers and facilitators to the implementation of EHPs within primary health care settings in low-income and middle-income countries.

METHODS

We searched multiple databases and the gray literature. Two reviewers completed independently and in duplicate data selection, data extraction, and quality assessment. We synthesized the findings according to the following health systems arrangement levels: governance, financial, and delivery arrangements.

RESULTS

Ten studies met the eligibility criteria. At the governance level, key reported barriers were insufficient policymaker-implementer interactions, limited involvement of consumers and stakeholders, sub-optimal primary health care network arrangement, poor marketing and promotion of package, and insufficient coordination with community network. The key reported facilitator was the presence of a legal policy framework for package implementation. At the financial level, barriers included delays and inadequate remunerations to health care providers while facilitators included government and donor commitments to financing of package and flexibility in exploring new funding mechanisms. At the delivery level, barriers included inadequate supervision, poor facility infrastructure, limited availability of equipment and supplies, and shortages of workers. Facilitators included proper training and management of workforce, availability of female health workers, presence of clearly defined packages, and continuum of care, including referrals to promote comprehensive service delivery.

CONCLUSION

We identified a set of barriers and facilitators that need to be addressed to ensure proper implementation of EHPs within primary health care settings.

Correlates of sedentary behavior in the general population: A cross-sectional study using nationally representative data from six low- and middle-income countries

Background

Sedentary behavior (SB) is associated with adverse health outcomes independent of levels of physical activity. However, data on its correlates are scarce from low- and middle-income countries (LMICs). Thus, we assessed the correlates of SB in six LMICs (China, Ghana, India, Mexico, Russia, South Africa) using nationally representative data.

Methods

Cross-sectional, community-based data on 42,469 individuals aged ≥18 years from the World Health Organization’s Study on Global Ageing and Adult Health were analyzed. Self-reported time spent sedentary per day was the outcome. High SB was defined as ≥8 hours of SB per day. The correlates (sociodemographic and health-related) of high SB were estimated by multivariable logistic regression analyses.

Results

The overall prevalence (95%CI) of high SB was 8.3% (7.1–9.7%). In the overall sample, the most important sociodemographic correlates of high SB were unemployment and urban residence. Physical inactivity, morbid obesity (BMI≥30.0 kg/m²), higher number of chronic conditions, poor self-reported health, higher disability levels, and worse health status in terms of mobility, pain/discomfort, affect, sleep/energy and cognition were associated with high SB. Several between-country differences were found.

Conclusion

The current data provides important guidance for future interventions across LMICs to assist sedentary people to reduce their SB levels.

Effect of informal financial support for health care on health Insurance uptake: Evidence from a mixed-methods study in Tamale metropolis of northern Ghana

Attempts to study the determinants of health insurance enrollment in resource-poor settings have often given less consideration to the potential influence of informal risk-sharing systems on individuals and households' decisions about health insurance. This paper contributes to existing discussions in this area by examining the effect of informal financial support for health care, an example of informal risk-sharing arrangement, on enrollment in the Ghana National Health Insurance Scheme (NHIS). It is based on a mixed-methods research in Tamale metropolis of northern Ghana. The study found widespread availability and reliance on informal support among low-income households to finance out-of-pocket health-care expenditure. Informal financial support for enrollment into the NHIS was noted to be less available. The study further found less strong but suggestive evidence that the perceived availability of informal financial support for health care by individuals diminishes their enrollment in the NHIS. The paper emphasizes the need for theory and policy on health insurance uptake in resource-constrained settings to consider existing informal risk-sharing arrangements as much as other known determinants of enrollment.

Adverse selection and supply-side factors in the enrollment in community-based health insurance in Northwest Ethiopia: A mixed methodology

BACKGROUND

Since 2010, the Ethiopian government introduced different measures to implement community-based health insurance (CBHI) schemes to improve access to health service and reduce the catastrophic effect of health care costs.

OBJECTIVES

The aim of this study was to examine the determinants of enrollment in CBHI in Northwest Ethiopia.

METHODS

In this study, we utilized a mix of quantitative (multivariate logistic regression applied to population survey linked with health facility survey) and qualitative (focus group discussion and in-depth interview) methods to better understand the factors that affect CBHI enrollment.

RESULTS

The study revealed important factors, such as household, informal association, and health facility, as barriers to CBHI enrollment. Age and educational status, self-rated health status, perceived quality of health services, knowledge, and information (awareness) about CBHI were among the characteristics of individual household head, affecting enrollment. Household size and participation in an informal association, such as local credit associations, were also positively associated with CBHI enrollment. Additionally, health facility factors like unavailability of laboratory tests were the main factor that hinders CBHI enrollment.

CONCLUSIONS

This study showed a possibility of adverse selection in CBHI enrollment. Additionally, perceived quality of health services, knowledge, and information (awareness) are positively associated with CBHI enrollment. Therefore, policy interventions to mitigate adverse selection as well as provision of social marketing activities are crucial to increase enrollment in CBHI. Furthermore, policy interventions that enhance the capacity of health facilities and schemes to provide the promised services are necessary.

Social capital as a key determinant of willingness to join community-based health insurance: a household survey in Nepal

OBJECTIVES

Although community-based health insurance (CBHI) schemes have been considered as an intermediate stage to achieve universal health coverage (UHC) in low-resource settings, there is a knowledge gap on ways to make it better.

STUDY DESIGN

More than 4000 Nepalese households were randomly selected and surveyed.

METHODS

Logistic and multivariate multinomial regressions were estimated.

RESULTS

Overall, 88% of included household heads were willing to join CBHI, 61% were willing to pay annual premium less than 600 Nepalese rupees (US$5.6) per household, and more than a half (53%) responded that the government should subsidize a significant portion of the premium. Results showed that a higher level of social capital was significantly related with an increase in odds of accepting higher premiums, while individuals' health status and age did not have such associations. Individuals with bonding social capital were more likely to be inclined to join CBHI. Persons who said they can lend money for a living expense (bonding capital) did not want the government to subsidize the scheme, while this negative association would be reversed if persons had both bonding and bridging social capitals.

CONCLUSION

We found significantly positive relationships between social capital and willingness to join and willingness to pay for CBHI in Nepal. Policymakers, aiming to achieve UHC, should be advised that bonding and bridging social capital have differing relationships with willingness to cooperate the external funding sources.

Investigating the Willingness to Pay for a Contributory National Health Insurance Scheme in Saudi Arabia: A Cross-sectional Stated Preference Approach

BACKGROUND

The Saudi Healthcare System is universal, financed entirely from government revenue principally derived from oil, and is 'free at the point of delivery' (non-contributory). However, this system is unlikely to be sustainable in the medium to long term. This study investigates the feasibility and acceptability of healthcare financing reform by examining households' willingness to pay (WTP) for a contributory national health insurance scheme.

METHODS

Using the contingent valuation method, a pre-tested interviewer-administered questionnaire was used to collect data from 1187 heads of household in Jeddah province over a 5-month period. Multi-stage sampling was employed to select the study sample. Using a double-bounded dichotomous choice with the follow-up elicitation method, respondents were asked to state their WTP for a hypothetical contributory national health insurance scheme. Tobit regression analysis was used to examine the factors associated with WTP and assess the construct validity of elicited WTP.

RESULTS

Over two-thirds (69.6%) indicated that they were willing to participate in and pay for a contributory national health insurance scheme. The mean WTP was 50 Saudi Riyal (US$13.33) per household member per month. Tobit regression analysis showed that household size, satisfaction with the quality of public healthcare services, perceptions about financing healthcare, education and income were the main determinants of WTP.

CONCLUSIONS

This study demonstrates a theoretically valid WTP for a contributory national health insurance scheme by Saudi people. The research shows that willingness to participate in and pay for a contributory national health insurance scheme depends on participant characteristics. Identifying and understanding the main influencing factors associated with WTP are important to help facilitate establishing and implementing the national health insurance scheme. The results could assist policy-makers to develop and set insurance premiums, thus providing an additional source of healthcare financing.

Assessing the feasibility of community health insurance in Uganda: A mixed-methods exploratory analysis

Community health insurance (CHI) aims to provide financial protection and facilitate health care access among poor rural populations. Given common operational challenges that hamper the full development of the scheme, there is need to undertake systematic feasibility studies. These are scarce in the literature and usually they do not provide a comprehensive analysis of the local context. The present research intends to adopt a mixed-methods approach to assess ex-ante the feasibility of CHI. In particular, eight preconditions are proposed to inform the viability of introducing the micro insurance. A case study located in rural northern Uganda is presented to test the effectiveness of the mixed-methods procedure for the feasibility purpose. A household survey covering 180 households, 8 structured focus group discussions, and 40 key informant interviews were performed between October and December 2016 in order to provide a complete and integrated analysis of the feasibility preconditions. Through the data collected at the household level, the population health seeking behaviours and the potential insurance design were examined; econometric analyses were carried out to investigate the perception of health as a priority need and the willingness to pay for the scheme. The latter component, in particular, was analysed through a contingent valuation method. The results validated the relevant feasibility preconditions. Econometric estimates demonstrated that awareness of catastrophic health expenditures and the distance to the hospital play a critical influence on household priorities and willingness to pay. Willingness is also significantly affected by socio-economic status and basic knowledge of insurance principles. Overall, the mixed-methods investigation showed that a comprehensive feasibility analysis can shape a viable CHI model to be implemented in the local context.