Willingness to Pay for Community-Based Healthcare Insurance Schemes in Developing Countries: A Case of Lahore, Pakistan
| Autor: | Akhtar Sana, Mehmood Masooma, Zulfqar Ayesha, Akhtar Kalsoom, Fatima Rida, Ishaq Tayyaba |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male Financing Personal Population Developing country Health Services Accessibility 03 medical and health sciences 0302 clinical medicine Willingness to pay Environmental health Surveys and Questionnaires Health care Population proportion Humans Community-Based Health Insurance Pakistan Lahore and Questionnaire 030212 general & internal medicine Cities education Poverty education.field_of_study Family Characteristics business.industry 030503 health policy & services Questionnaire General Medicine Community Based Health Insurance System (CBHIS) Patient Acceptance of Health Care Awareness Cross-Sectional Studies Social Class Willingness to Pay (WTP) Sample size determination Multivariate Analysis Regression Analysis Female Original Article 0305 other medical science business Psychology |
| Zdroj: | Ethiopian Journal of Health Sciences |
| ISSN: | 2413-7170 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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