Perception and Satisfaction of Patients Toward Dental Insurance Coverage in Saudi Arabia. A Cross Sectional Study

Saudi Arabia's healthcare regulatory entities are encouraging health insurance among their population, specifically dental treatment coverage.  The government is striving to provide efficient dental treatment services to all its citizens. In this context, the purpose of this paper is to measure the perception and satisfaction levels of patients towards dental insurance coverage in the Saudi context. There is a lack of anecdotal and objective evidence among dental patients as to whether their perception and satisfaction levels differ with their insurance reportage. The design of this study is cross-sectional and descriptive. A survey was conducted among the Saudi adult’ population to develop evidence-based perspectives of patients' awareness, expectations, perceived values, and degree of confidence towards dental insurance coverage in Saudi Arabia. The research model was assessed with PLS-SEM and necessary condition analysis with a survey of 542 participants. On the impact of dental policy awareness, expectations, perceived value and degree of confidence. The data was collected from 542 participants on questions regarding dental insurance, the findings show that dental policy awareness, expectations, perceived values have positive and statistically significant effect, It was also found that satisfaction and perceived values have positive and statistically significant effects on degree of confidence. Importance performance MAP showed that satisfaction, perceived values have highest total effect on degree of confidence for dental patients, IPMAP for satisfaction shows that highest total effect is of expectations followed by perceived value. The model showed good predictive power using Akaike, CVPAT analysis.

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Publication Details

Journal
African Journal of Biomedical Research
Published
2024-09-20
DOI
https://doi.org/10.53555/ajbr.v27i4s.4444
Primary Topic
Healthcare Policy and Management
Type
article
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article

Perception and Satisfaction of Patients Toward Dental Insurance Coverage in Saudi Arabia. A Cross Sectional Study

Mohammed K. Al-Sadoon
African Journal of Biomedical Research
Healthcare Policy and Management
article

Perception and Satisfaction of Patients Toward Dental Insurance Coverage in Saudi Arabia. A Cross Sectional Study

Mohammed K. Al-Sadoon
article en

Abstract

Saudi Arabia's healthcare regulatory entities are encouraging health insurance among their population, specifically dental treatment coverage.  The government is striving to provide efficient dental treatment services to all its citizens. In this context, the purpose of this paper is to measure the perception and satisfaction levels of patients towards dental insurance coverage in the Saudi context. There is a lack of anecdotal and objective evidence among dental patients as to whether their perception and satisfaction levels differ with their insurance reportage. The design of this study is cross-sectional and descriptive. A survey was conducted among the Saudi adult’ population to develop evidence-based perspectives of patients' awareness, expectations, perceived values, and degree of confidence towards dental insurance coverage in Saudi Arabia. The research model was assessed with PLS-SEM and necessary condition analysis with a survey of 542 participants. On the impact of dental policy awareness, expectations, perceived value and degree of confidence. The data was collected from 542 participants on questions regarding dental insurance, the findings show that dental policy awareness, expectations, perceived values have positive and statistically significant effect, It was also found that satisfaction and perceived values have positive and statistically significant effects on degree of confidence. Importance performance MAP showed that satisfaction, perceived values have highest total effect on degree of confidence for dental patients, IPMAP for satisfaction shows that highest total effect is of expectations followed by perceived value. The model showed good predictive power using Akaike, CVPAT analysis.

African Journal of Biomedical Research
Decent work and economic growth
Openalex Percentile: Top 73%
Healthcare Policy and Management
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