Causes of dropout from health insurance program: An experience from Lumbini Province, Nepal

Factors influencing the utilisation of National health insurance program in urban areas of Nepal: Insights from qualitative study

Health insurance has been recognised as a crucial policy measure to enhance citizens' well-being by reducing the financial burden globally. Nepal has also adopted this scheme to support achieving universal health coverage. Various factors influence the overall performance of the program in Nepal. However, there is a lack of evidence on how different factors have influenced the insurance program in the Nepalese context. Therefore, this study aims to explore facilitators and barriers to the utilisation of national health insurance services among service users and other stakeholders. A qualitative study was conducted by interviewing both demand-side participants and supply-side participants in the Bhaktapur District of Nepal. Thematic network analysis was used to analyse data using RQDA software. The socio-ecological model guides the presentation of the identified factors. The study followed the COREQ guidelines to ensure standard reporting of the results. Factors that encourage the use of health insurance services involve individual, community, and policy-related factors. These factors encompass changes in seeking treatment, assistance during enrollment and renewal by enrollment assistant, proximity to the initial point of contact for care, and policy features like individual cards, contribution amount and cashless treatment system. Likewise, lack of physical infrastructure, poor staff management, long waiting times, poor medicine availability, and delays in budget reimbursement were perceived as organisational barriers. At the interpersonal level, obstacles encompass challenges related to staff behaviour, interpersonal relationships, and the information provided by service providers. Identified health services delivery barriers at different levels emphasised the critical need for improving the quality of healthcare and services delivery mechanisms. Overcoming these obstacles is essential for realising health insurance scheme objectives and progressing toward Universal Health Coverage (UHC).

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

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

Dropout rate and associated factors of community-based health insurance beneficiaries in Ethiopia: a systematic review and meta-analysis

BACKGROUND

Ethiopia aims to achieve universal healthcare using health insurance. To do so, it has been implementing community-based health insurance since 2011. However, the retention of members by the scheme has not yet been evaluated nationally. The systematic review and meta-analysis aimed to evaluate the dropout rate and associated factors among the scheme's beneficiaries in Ethiopia.

METHODS

On December 19, 2022, searches were conducted in Scopus, Hinari, PubMed, Semantic Scholar, and Google Scholar. Searches were also conducted on the general web and electronic repositories, including the Ethiopian Health Insurance Service, the International Institute for Primary Health Care-Ethiopia, and various higher education institutions. The Joanna Briggs Institute's tools and the "preferred reporting items for systematic reviews and meta-analyses 2020 statement" were used to evaluate bias and frame the review, respectively. Data were analyzed using Stata 17 and RevMan 5. To assess heterogeneity, we conducted subgroup analysis and used a random model to calculate odds ratios with a p value less than 0.05 and a 95% CI.

RESULTS

In total, 14 articles were included in the qualitative synthesis, of which 12 were selected for the quantitative analysis. The pooled estimate revealed that the dropout rate of beneficiaries from the scheme was 34.0% (95% CI: 23-44%), provided that the renewal rate was 66.0%, and was found to be influenced by socio-demographic, health status, length of enrolment, knowledge, attitude, the scheme, and health service-related variables. The southern and Oromia regions reported the lowest and highest dropout rates, with 27.0% (95% CI: 24-29%) and 48.0% (95% CI: 18-78%), respectively. The dropout rates increased from 12.3% in 2012-2015 to 34.4% in 2020-2021.

CONCLUSION

More than one-third of the scheme's beneficiaries were found to have dropped out, and this has been found to increase over time, dictating that a community-based strategy and intervention, from the supply, insurer, and demand sides, seem indispensable in minimizing this huge dropout rate.