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Ethiop J Health Sci ; 30(1): 135-142, 2020 Jan.
Article in English | MEDLINE | ID: mdl-32116442

ABSTRACT

BACKGROUND: Healthcare costs and poverty are significant barriers to achieving universal access to healthcare. Thus, Community-Based Health Insurance Schemes (CBHIS) are regarded as an influential instrument for providing access to healthcare. For this purpose, this study was carried out in order to assess the community's Willingness to Pay (WTP) for CBHIS and its determinants among the residents of Lahore City. METHODS: A cross-sectional study was adopted during the period of May 2018 to August 2018 to conduct a standardized questionnaire survey among targeted population of Lahore. A total of 250 households from lower, middle and upper-middle-class areas were approached randomly from which 200 participated in the survey, rendering a response rate of 90.9%. Sample size was determined by using single population proportion formula assuming 5% margin of error and 95% Confidence Interval (CI). Moreover, multiple regression analysis, Pearson's correlation and t-test were employed to determine relationships between different variables affecting WTP. RESULTS: Sixty-four percent of the respondents were willing to pay for CBHIS. Among the remaining thirty-six% of unwilling the community, income level (p< 0.05, CI=0.34 to 1.11) and education level (p< 0.05, CI=0.52-1.37) were significant predictors of WTP. Moreover, strong positive relation (p<0.05) between people's awareness and WTP for CBHIS was witnessed. The findings further suggested that the larger population of the willing community was not willing to pay more than 5000 Rs annually. CONCLUSION: Henceawareness level of the community regarding the benefits of CBHIS is a major hindrance. The key policy priority is to increase the community's awareness regarding the benefits of CBHIS and to increase willingness to pay rate among public.


Subject(s)
Community-Based Health Insurance/economics , Financing, Personal , Health Services Accessibility/economics , Patient Acceptance of Health Care/statistics & numerical data , Adult , Cities , Cross-Sectional Studies , Family Characteristics , Female , Humans , Male , Multivariate Analysis , Pakistan , Patient Acceptance of Health Care/psychology , Poverty/economics , Poverty/psychology , Regression Analysis , Social Class , Surveys and Questionnaires
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