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BACKGROUND: Cost-effectiveness analysis provides a crucial means for evidence-informed decision-making on resource allocation. This study aims to elicit individuals' willingness to pay (WTP) for one additional quality-adjusted life-year (QALY) gained from life-saving treatment and associated factors in Kermanshah city, western Iran. METHODS: We conducted a cross-sectional study on a total of 847 adults aged 18 years and above to elicit their WTP for one additional QALY gained by oneself and a family member using a hypothetical life-saving treatment. We used a multistage sampling technique to select the samples, and the Iranian version of EQ-5D-3L, and visual analogue scale (VAS) measures to obtain the participants' health utility value. The Tobit regression model was used to identify the factors affecting WTP per QALY values. RESULTS: The mean WTP value and standard deviation (SD) was US$ 862 (3,224) for the respondents. The mean utility values using EQ-5D-3L and VAS methods for respondents were 0.779 and 0.800, respectively. Besides, the WTP for the additional QALY gained by the individual participants using the EQ-5D-3L and VAS methods were respectively US$ 1,202 and US$ 1,101, while the estimated value of the family members was US$ 1,355 (SD = 3,993). The Tobit regression models indicated that monthly income, education level, sex, and birthplace were statistically significantly associated (p < 0.05) with both the WTP for the extra QALY values using the EQ-5D-3L and the VAS methods. Educational level and monthly income also showed statistically significant relationships with the WTP for the additional QALY gained by the family members (p < 0.05). CONCLUSION: Our findings indicated that the participants' WTP value of the additional QALY gained from the hypothetical life-saving treatment was in the range of 0.20-0.24 of the gross domestic product (GDP) per capita of Iran. This value is far lower than the World Health Organization (WHO) recommended CE threshold value of one. This wide gap reflects the challenges the health system is facing and requires further research for defining the most appropriate CE threshold at the local level.
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BACKGROUND: An unequal distribution of human resources affects access to health-care services. This study aimed to elicit the preferences of medical, dentistry, and pharmacy students about attributes of work contracts in deprived areas of Iran; this is a primary important step to decrease inequity. METHODS: Two-hundred and one students were entered into the study through proportional sample size estimation from Kermanshah University of Medical Sciences in the west of Iran in 2018. The attributes of work contracts were determined using the discrete choice experiment (DCE) method, then possible dual scenarios of work contracts were designed through the D-efficiency method of SAS software and the data were collected using a questionnaire designed by the researchers. The conditional logistic model was used to analyze the data. RESULTS: Salary, workplace, side facilities, scholarship, and workload were considered as important factors for working in the deprived areas (p<0.001). There were differences between the students' preferences regarding their residential areas, majors, and state or tuition-paying education (p<0.001). Higher payments, side facilities, and availability of quota after working in the deprived areas were considered as creators of higher utility, and working in deprived areas and high workload were considered as creators of lower utility (p<0.001). CONCLUSION: This study provides new evidence about the preferences of medical sciences students for work contracts in deprived areas of Iran. According to the findings, money is not the only factor that affects the decisions of medical sciences students related to working contracts in deprived areas of Iran. Designing work contracts that are matched with preferences of the workforce can lead to an improvement in equity, access, and utilization of health-care services.