Willingness to pay for other individuals' healthcare expenditures

Borges, Ana Pinto; Reis, Ana Maria; Anjos, José Geraldo Xavier dos

doi:10.1016/j.puhe.2016.11.013

Cited by 13 publications

(16 citation statements)

References 26 publications

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“…The finding revealed that those who perceived their health status was poor and good were 8.5 and 1.86 times more likely to accept the proposed SHI than those who perceived that their health status was very good, respectively. This result was comparable with that of a study findings in Portugal in which health-related factor was one of the causes to determine the acceptance of healthcare expenditure [ 29 ]. The possible explanation might be seeking treatment during illness to reduce the economic burden of healthcare show signs of being risk-averse.…”

Section: Discussionsupporting

confidence: 90%

“…People with low health status are more willing to accept HI schemes than healthier ones [ 28 ]. The study conducted in Portugal showed that respondents’ health-related behaviors play an essential role in their willingness to subsidize social well-being through healthcare expenditures [ 29 ]. The research conducted in central Vietnam Chronic disease was related to WTP only at a copayment level of 20% [ 30 ].…”

Section: Introductionmentioning

confidence: 99%

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Acceptance of the proposed social health insurance among government-owned company employees in Northwest Ethiopia: implications for starting social health insurance implementation

et al. 2020

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Background Ethiopia is currently planning to introduce Social Health Insurance (SHI) that will lead to universal health coverage and assist a country to achieve its health system’s objectives and to prevent the catastrophic health expenditure. But there is no evidence until now about the level of acceptance of the proposed SHI among government-owned companies’ employees. Therefore, this study was intended to assess the acceptance of SHI and associated factors among government-owned companies’ employees in northwest Ethiopia. Methods An institution-based cross-sectional study was conducted from February 1 to April 30, 2019. A randomly selected 541 government-owned companies’ employees were participated in the study. A pretested self-administered structured questionnaire was used that consisted sociodemographic and economic, health status-related factors, attitude (measured by 12 items), organizational related factors and knowledge about SHI (measured by 11 items). Finally, binary logistic regression analysis was performed and in the multivariable logistic regression analysis, a significant level at a p-value of < 0.05 and Adjusted Odds Ratio (AOR) with 95% confidence interval (CI) were used to identify factors statistically associated with SHI acceptance. Results Overall, 32% (95% CI: 27.7–36.2) of the government-owned companies’ employees accepted the proposed Ethiopian SHI scheme. Self-perceived health status (AOR: 8.55, 95% CI: 2.69–27.13), heard about SHI (AOR: 1.69, 95% CI: 1.12–2.54), coverage of medical healthcare cost (AOR: 0.60, 95% CI: 0.39–0.92), work experience (AOR: 0.49, 95% CI: 0.26–0.89) and quality of healthcare service at the facilities (AOR: 0.17, 95% CI: 0.04–0.71) were significantly associated with acceptance of SHI among government-owned companies’ employees. Conclusions One-third of the study participants accepted the proposed Ethiopian SHI scheme. Self-perceived health status, quality of healthcare service at health facilities, coverage of the medical cost by their organization, heard about SHI and work experience were the factors that affect acceptance of the proposed SHI among the government-owned company employees. Therefore, policymakers should devise a plan to promote the benefit packages of SHI for the formal sector employees to start the implementation.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Acceptance of the proposed social health insurance among government-owned company employees in Northwest Ethiopia: implications for starting social health insurance implementation

et al. 2020

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“…Increasing ownership of health insurance is the main reason for the strong relationship between health insurance and life expectancy in Indonesia in this study. This result is in line with the findings of Borges et al (2017) that health insurance can improve public health status.…”

Section: Source: Statistics Of Indonesiasupporting

confidence: 92%

Indonesian Life Expectancy: Role of Health Infrastructure and Socio-Economic Status

2019

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The purpose of this study is to analyze the role of health infrastructure and public socio-economic status on life expectancy in Indonesia. Health infrastructure indicators are health personnel, health facilities, and health insurance. Meanwhile, socio-economics indicators are dependency ratio, income inequality, and poverty. The models are estimated using a panel data set for 34 provinces in Indonesia from 2010 to 2016. This research is using a fixed-effect panel data approach. Empirical results show that health personnel and health insurance have a positive relationship with life expectancy. Dependency ratios and poverty also show a negative relationship with life expectancy. On the other hand, the availability of health facilities and income inequality have a weak relationship with life expectancy. This empirical examination result will help Indonesian governments to improve several aspects in order to increase life expectancy in Indonesia. AbstrakTujuan penelitian ini adalah untuk menganalisis peran infrastruktur kesehatan dan status sosial ekonomi masyarakat terhadap angka harapan hidup di Indonesia. Indikator infrastruktur kesehatan diantaranya tenaga kesehatan, fasilitas kesehatan, dan jaminan kesehatan. sedangkan indikator dari sosial ekonomi adalah beban ketergantungan, ketimpangan pendapatan, dan kemisinan. Model diesimasi menggunakan panel data dari 34 provinsi di Indonesia periode tahun 2010 hingga 2016. Pendekatan fixed effect digunakan untuk tujuan penelitian ini. Hasil empiris menunjukkan tenaga kesehatan dan jaminan kesehatan memiliki hubungan positif dan signifikan dengan angka harapan hidup. Beban ketergantungan dan kemiskinan juga memiliki hubungan negatif dan signifikan dengan angka harapan hidup. Pada sisi yang lain ketersediaan fasilitas kesehatan dan ketimpangan pendapatan memiliki hubungan yang lemah denganngka harapan hidup. Hasil empiris ini akan membantu pemerintah Indonsia untuk meningkatkan beberapa aspek dalam rangka untuk meningkatkan angka harapan hidup di Indonesia.Kata Kunci: pembangunan manusia, angka harapan hidup, infrastruktur kesehatan, sosial-ekonomi JEL Code: O15, O18 conclude that there is bi-directional causality between CO2 emissions and economic growth, between health expenditure and economic growth.Likelihood tests and Hausman tests are performed to determine the best approach Signifikan:between Common Effects, Fixed Effects, and Random Effects. The last step is the coefficient of determination (R 2 ) and the t-statistic test to determine the correlation value between variables in this study.

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“…Experimental agecomparative laboratory studies have often revealed a higher degree of prosocial behavior in older compared to younger adults [17][18][19][20][21] , and have shown a linear increase in prosociality, when examining prosociality across the whole adult lifespan [11,22,23] . There are however also studies which did not find such age-related increase in prosocial behaviors, neither in experimental tasks or self-reported prosocial measures when comparing younger and older adults [24,25] , nor when comparing middle-and older age groups [26] , or when looking at age correlations across adulthood [27,28] . Social psychology and neuroscience research suggests that feeling empathy with a person usually results in greater prosocial behavior (for reviews see [29][30][31][32] ) and some previous studies have asked whether this link might be moderated by adult age.…”

Section: Introductionmentioning

confidence: 96%

Investigating Adult Age Differences in real-life Empathy, Prosociality, and Well-being using Experience Sampling

Pollerhoff¹,

Stietz²,

Depow³

et al. 2021

Preprint

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While the importance of social affect and cognition is indisputable throughout the adult lifespan, findings of how empathy and prosociality develop and interact across adulthood are mixed, and real-life data are scarce. Research using ecological momentary assessment recently demonstrated that adults commonly experience empathy in daily life. Furthermore, predictors of empathy were linked to higher prosocial behavior and subjective well-being. However, to date, it is not clear whether there are adult age differences in daily empathy and daily prosociality and whether age moderates the relationship between empathy and prosociality across adulthood. Here we analyzed experience-sampling data collected from participants across the adult lifespan to study age effects on empathy, prosocial behavior, and well-being under real-life circumstances. Linear and quadratic age effects were found for the experience of empathy, with increased empathy across the three younger age groups (18 to 45 years) and a slight decrease in the oldest group (55 years and older). Neither prosocial behavior nor well-being showed significant age-related differences. We discuss these findings with respect to (partially discrepant) results derived from lab-based or traditional survey studies. We conclude that studies linking in-lab experiments with real-life experience-sampling might be a promising venue for future lifespan studies.

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Willingness to pay for other individuals' healthcare expenditures

Cited by 13 publications

References 26 publications

Acceptance of the proposed social health insurance among government-owned company employees in Northwest Ethiopia: implications for starting social health insurance implementation

Acceptance of the proposed social health insurance among government-owned company employees in Northwest Ethiopia: implications for starting social health insurance implementation

Indonesian Life Expectancy: Role of Health Infrastructure and Socio-Economic Status

Investigating Adult Age Differences in real-life Empathy, Prosociality, and Well-being using Experience Sampling

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