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Determinants of Willingness to pay for Employment-Based Health Insurance Among Governmental School Workers in Saudi Arabia

Bibliographic Data

ID13775391
AuthorsNouf Alharbi (0000-0002-4431-3303, King Saud University, corresponding author)
Year2021
Volume58
Pages469580211060790-469580211060790
Publication date2021-01-01
Open AccessYes
TypeARTICLE
VenueINQUIRY The Journal of Health Care Organization Provision and Financing (JOURNAL)
Journal identifiersISSN: 0046-9580 • E-ISSN: 1945-7243
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/00469580211060790
PMID34798799
OpenAlexW3211833605
LanguageEN
Citations received2
References cited20

School workers constitute the bulk of public workers in Saudi Arabia. Most of these workers seek public health care services through the Ministry of Health, which is characterised by an overloaded service. Consequently, the government is planning to introduce employment-based health insurance. However, government employees' willingness to pay (WTP) for health insurance was not investigated. This study explores the feasibility and acceptability of employment-based health insurance by examining public school workers' WTP. Methods: six hundred and twenty-second number participants from Riyadh city were interviewed from September to October 2020 using an online structured questionnaire. The contingent valuation method with a payment card was used to assess WTP among the participants. This study also determined the association between the willingness to participate and WTP for health insurance respondents' demographic and socio-economic characteristics. Chi-square and multiple linear regression analyses were used to analyse the data. The majority (76%) with an average monthly mean of 77.9 Saudi Riyal (SAR) ($20.7) per capita. Male, had higher educated, and those diagnosed with chronic disease were more likely to report a willingness to participate and/or pay for health insurance ( P > .005). This study demonstrates that WTP for employment-based health insurance depends on workers' characteristics. The results of this study may be of use to policymakers to help with a set insurance premium, priority setting and fund allocation

Actuarial science · Business · Contingent valuation · Economic growth · Economics · Environmental health · Government (linguistics · Health care · Health insurance · Payment · Per capita · Population · Public health · Willingness to pay · Finance · Global Health Care Issues · Healthcare Policy and Management · Healthcare Systems and Reforms · Medicine · Nursing

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Citations per year0.67
Citation span2023 - 2026 (4)
Highly citedNo

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