Analysis of Access to Health Insurance Coverage in Uganda: A Secondary Data Analysis

The association and relationship between socio-demographic, media and economic factors affecting the access to health insurance coverage in Uganda was considered. The obtained data and analysis went through data cleaning, manipulation, coding and statistical analysis using the SATA 15, sample survey weighted results, univariate analysis for mean, standard errors and confidence intervals, and Scot-Rao Adjusted Chi-square tests for bivariate analysis and complementary log-log regression model to examine the relationship of various study variables on access to health insurance. The study findings revealed that out of 18,506 respondents, 23.5% were aware of health insurance, of these 18.8% ever considered joining a health insurance scheme while, 1.4% of the respondents reported to be on a health insurance scheme. Demographic findings indicated that 43.7% were below 25 years, 60.6% were married and 40.2% were self-employed in agricultural sector. Similarly, obtained results revealed that access to health insurance increases with age.

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Publication Details

Journal
Financial Engineering
Published
2025-01-16
DOI
https://doi.org/10.37394/232032.2025.3.10
Citations
1
Primary Topic
Healthcare Systems and Reforms
Type
article
Field-Weighted Citation Impact
2.21
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article

Analysis of Access to Health Insurance Coverage in Uganda: A Secondary Data Analysis

Anselm O. Oyem, Symon Wandiembe, Felix Wamono, Nicholas Keinerugaba
1 citations
Financial Engineering
Healthcare Systems and Reforms
2.21
article

Analysis of Access to Health Insurance Coverage in Uganda: A Secondary Data Analysis

Anselm O. Oyem, Symon Wandiembe, Felix Wamono, Nicholas Keinerugaba
article en
1 citations

Abstract

The association and relationship between socio-demographic, media and economic factors affecting the access to health insurance coverage in Uganda was considered. The obtained data and analysis went through data cleaning, manipulation, coding and statistical analysis using the SATA 15, sample survey weighted results, univariate analysis for mean, standard errors and confidence intervals, and Scot-Rao Adjusted Chi-square tests for bivariate analysis and complementary log-log regression model to examine the relationship of various study variables on access to health insurance. The study findings revealed that out of 18,506 respondents, 23.5% were aware of health insurance, of these 18.8% ever considered joining a health insurance scheme while, 1.4% of the respondents reported to be on a health insurance scheme. Demographic findings indicated that 43.7% were below 25 years, 60.6% were married and 40.2% were self-employed in agricultural sector. Similarly, obtained results revealed that access to health insurance increases with age.

Financial EngineeringVol. 3
Busitema University (UG)
Openalex Percentile: Top 18%
Healthcare Systems and Reforms
2.21
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