PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 1, 20260 citationsOpen Access

Health Insurance Adoption Among Low-Income Families in Lagos, Nigeria: A Qualitative Exploration

View Full Paper
COChika OkoliOEObioma EzealuOAOsita Anyaoku

Key Points

  • The research aims to explore the factors influencing health insurance adoption among low-income families in Lagos, Nigeria.
  • Qualitative research design
  • Semi-structured interviews with 50 low-income families
  • Data analysis using thematic content analysis
  • Affordability identified as the primary barrier to health insurance adoption
  • Majority of respondents willing to enroll if premiums decreased by at least 30%
  • Findings underscore the need for subsidies and affordable health insurance schemes targeted at low-income families

Abstract

Health insurance adoption rates among low-income families in urban areas of Nigeria have been under-researched, despite its potential to improve access to healthcare and alleviate financial burdens. The study employs a qualitative research design, utilising semi-structured interviews with 50 low-income families as participants. Data analysis is conducted through thematic content analysis. Findings suggest that affordability remains the primary barrier to health insurance adoption, with majority of respondents indicating willingness to enroll if premiums were reduced by at least 30%. The findings highlight the importance of addressing financial barriers and engaging community stakeholders in designing more affordable health insurance schemes for low-income families. Recommendation is made for policymakers to consider subsidizing or offering subsidies for healthcare services, alongside developing comprehensive health insurance programmes targeted at vulnerable populations.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Okoli et al. (2004) studied this question.

synapsesocial.com/papers/69a3d887ec16d51705d2f84fhttps://doi.org/10.5281/zenodo.18800380
Ask AI
Helpful
Bookmark
Share
View Full Paper