ArticleThe East African health research journal2024
Factors Related to Client Satisfaction with Community Based Health Insurance Services During COVID-19 Pandemic in Central Uganda: A Mixed Methods Healthcare Facility Based Study.
Article in The East African health research journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: During the COVID-19 lockdowns, healthcare services were disrupted and community-based health insurance (CBHI) schemes could not operate efficiently. This study assessed the level of client satisfaction with CBHI schemes, associated factors, and service provider perspectives in central Uganda. Methods: This was an explanatory sequential mixed-methods (quantitative - qualitative) study that was conducted between March and September 2021. In the first phase, a cross-sectional study among the 365 clients of the CBHI schemes who were aged ≥18 years old. The participants were recruited consecutively as they reported to the healthcare facility. Quantitative data were collected at patient exit using a piloted semi-structured interviewer-administered questionnaire. In the second phase, qualitative data were collected through 11 key informant interviews. These data were analyzed using a deductive thematic analysis approach. Modified Poisson regression was used to assess factors associated with client satisfaction and a p-value ≤0.05 at a 95% confidence interval was considered to be statistically significant. Findings: Of the total number of participants, 38.9% (142/365) were "satisfied" with the CBHI services. Less satisfaction was associated with secondary level of education or above (adjPR = 0.55, 95% CI: 0.36-0.85, Conclusions: Satisfaction was considerably low during the lockdown. Lockdowns due to pandemics interrupt healthcare services and subsequently affect the satisfaction of CBHI clients with scheme services. Scheme managers need to identify facilities that are closer to enrolees and invest in technologies that reduce waiting time in the healthcare facility.
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