2022
DOI: 10.1186/s12913-022-08304-8
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Willingness to pay for social health insurance and its associated factors among public servants in Addis Ababa, Ethiopia: a cross-sectional study

Abstract: Background As a means of establishing a sustained and fair health care financing system, Ethiopia has planned and ratified a legal framework to introduce a social health insurance program for employees of the formal sector to protect them against financial and health burdens. However, the implementation has been delayed due to the resistance of public servants to pay the proposed premium. The aim of this study was to estimate the magnitude of willingness to pay the proposed amount of premium se… Show more

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Cited by 6 publications
(4 citation statements)
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“…The motivation behind this interest could be the fact that health professionals felt that the government should pay for their medical bills or that they should not be expected to pay for the healthcare that they provide to others. 27 According to this study, WTP was significantly associated with gender, monthly income, and the presence of children under the age of five. In line with a study done in Nigeria, men participants were 57.4% more likely to be willing to pay than female ones.…”
Section: Discussionmentioning
confidence: 63%
See 1 more Smart Citation
“…The motivation behind this interest could be the fact that health professionals felt that the government should pay for their medical bills or that they should not be expected to pay for the healthcare that they provide to others. 27 According to this study, WTP was significantly associated with gender, monthly income, and the presence of children under the age of five. In line with a study done in Nigeria, men participants were 57.4% more likely to be willing to pay than female ones.…”
Section: Discussionmentioning
confidence: 63%
“…The motivation behind this interest could be the fact that health professionals felt that the government should pay for their medical bills or that they should not be expected to pay for the healthcare that they provide to others. 27 …”
Section: Discussionmentioning
confidence: 99%
“…The WTP for SHI was found to be influenced by sociodemographic factors like education level ( 20 22 , 25 , 31 , 32 ), income ( 17 , 19 21 , 27 , 28 , 31 , 34 ), age ( 26 , 28 , 31 ), marital status ( 28 , 33 ), occupation or job description ( 28 ), family size ( 29 , 30 , 34 ), and job experience ( 16 ); health and illness status such as self-rated healthiness ( 16 ), the presence of acute ( 20 , 21 , 31 ), and chronic illnesses ( 34 ); health service related factors like previous medical bills ( 16 , 18 , 21 , 22 , 24 , 27 , 28 , 30 , 35 ), referral system ( 26 ), regular medical checkup ( 26 ), and health service quality ( 16 , 19 , 24 – 27 ); awareness or knowledge ( 16 18 , 20 23 , 27 , 29 , 30 , 32 , 34 , 35 ); perception ( 24 , 31 ); attitude ( 17 , 21 , 27 , 33 , 34 ); and factors related to the scheme such as trust ( 17 , 23 ), premium amount ( 19 ), and the scope of the benefit packages ( …”
Section: Resultsmentioning
confidence: 99%
“…Consumers with a household size greater than three were more likely to be willing to purchase health apps. One explanation is that families with a larger household size are more likely to have older people, children, and family members with chronic conditions and are thus more willing to invest in health management ( 65 ). For this reason, in addition to allowing personal health management, health apps should also allow users to manage the health needs of their family members, especially those who cannot independently perform health management ( 43 , 66 ).…”
Section: Discussionmentioning
confidence: 99%