Monetary valuation of COVID-19 informal care: caregivers' willingness to pay and willingness to accept.

BACKGROUND: Informal care can reduce hospitalization frequency and time, elevate bed turnover, and increase the health systems' capacity. This type of care has shown meaningful value in managing many cases through the COVID-19 pandemic. The present study aimed to identify determinants of monetary valuation of informal care and the burden of this care on the COVID-19 patients' caregivers. METHODS: Through a cross-sectional phone survey from June to September 2021 in Sanandaj city, the west of Iran, COVID-19 patients and their caregivers (Each Group No. 425) were separately interviewed. A simple probabilistic sampling method was applied. Two questionnaires were developed and used after validation. Monetary valuation of informal caregivers was done using Willingness to pay (WTP) and willingness to accept (WTA). Double hurdle regressions were used to determine related variables to WTP/WTA. R software was used for the data analysis. RESULTS: The total mean (Standard Deviation) of WTP and WTA were $12.02(28.73), $10.30(15.43) USD. Most respondents put a zero value on informal care by WTA (243(57.18%) and WTP [263 (61.88%)]. Caregivers' Employment, and being spouse/child of the care recipient increased the probability of reporting a positive value for WTP (p-value < 0.0001, p-value = 0.011 respectively) and WTA (p-value = 0.004, p-value < 0.0001 respectively). An increase in the number of caring days decreased the probability of reporting positive WTA (p-value = 0.001) and increased the mean of lnWTP (p-value = 0.044). Perceived difficulty in doing indoor activities and perceived difficulty in doing outdoor activities decreased lnWTA mean (p-value = 0.002) and lnWTP mean (p-value = 0.043) respectively. CONCLUSIONS: Increasing caregivers' self-efficacy and facilitating their involvement in the caring process could be facilitated through flexible work status, educational programs, and interventions on decreasing their burnout.

Eliciting preferences of patients about the quality of hospital services in the west of Iran using discrete choice experiment analysis.

OBJECTIVES: Knowing about accurate customer expectations is the most important step in defining and delivering high-quality services. This study aimed to evaluate the preferences of patients referring to two hospitals in Kermanshah, Iran. METHOD: Discrete choice experiment (DCE) method used to elicit preferences of 328 patients who were admitted in two hospitals of Kermanshah city in the west of Iran. Literature review and experts opinion were used to identify a candidate list of attributes related to the quality of cares in hospitals. The final study attributes were quality of physician care, quality of nursing care, waiting time for admission, cleaning of wards and toilets, and behavior of staff. Experimental design applied to extract choice sets of hospitals. The data was analyzed by a conditional logit regression. RESULTS: The regression results showed the most important predictors of hospital selection by respondents was the good quality of physician care (aOR: 3.18, 95% CI 2.61, 3.87), followed by friendly behavior of staffs (aOR: 2.03, 95% CI 1.81, 2.27), cleanness of wards and toilet (aOR: 1.61, 95% CI 1.40, 1.85), and finally quality of nursing cares (aOR: 1.13, 95% CI 0.89, 1.44). However, increasing waiting time made disutility in the study participants (aOR: 0.69, 95% CI 0.60, 0.80). CONCLUSIONS: Our study finding emphasized some potential opportunity of quality augmentation in hospital sector by paying attention to different quality attributes including quality of physician, friendly behavior of staffs, cleanness of hospital environment and finally quality of nursing cares. Considering patients preferences in decision making process could lead to substantial satisfaction improvement.

Decomposition of gendered socioeconomic-related inequality in outpatient health care utilization: A cross-sectional study from Iran.

INTRODUCTION: Unequal access to required health care services could deteriorate inequality in health outcomes and increase mortality and morbidity, especially among disadvantaged groups. One of the most debated factors in shaping health care inequalities is gender. This study aimed to measure and explains gendered socioeconomic-related inequality in outpatient health care utilization in Iran. METHODS: This is a cross-sectional research conducted at a national level in Iran. The required data was obtained from an Iranian health care utilization household survey conducted in 2015. Erreygers Concentration Index (ECI) was used to measure the socioeconomic inequality in outpatient health care utilization. A regression-based decomposition analysis was also used to explain socioeconomic-related inequalities. RESULTS: There was a significant pro-rich inequality in outpatient health care utilization between males (ECI = 0.115, SE = 0.014) and females (ECI = 0.083 SE = 0.011) indicating that utilization of these services was concentrated on the better-offs. The decomposition analysis revealed that economic status (males = 50.58%, females = 37.42%) was the main contributor to the observed inequality. Location of residence, health insurance and education were other main driver of these inequalities. CONCLUSIONS: Different factors have different contribution to socioeconomic-related inequality in utilization of outpatient health care services and these could be diversified considering gender. Hence, it seems that policy makers could be able to address these inequalities effectively through gender-oriented policies.

World one-hundred days after COVID-19 outbreak: Incidence, case fatality rate, and trend.

BACKGROUND: The prevalence of viral diseases is on the rise and has caused many problems for public health. COVID-19 is a new viral outbreak in the world. This study aimed to investigate the trends of incidence and case fatality rate (CFR) of COVID-19 in the world by April 30, 2020. METHODS: This was a descriptive-analytical study. We investigated the number of cases and deaths in 35 selected countries and regions of the WHO that had at least 10,000 cases by the time of the study. In addition, the incidence and CFR of COVID-19 were investigated. Finally, time trends of the number of cases, deaths, and CFR were investigated using ordinary least squares regression models. RESULTS: The total number of confirmed cases of COVID-19 was 3,090,184. The European region had the highest number of COVID-19 patients (1,434,649 [46.43%]). Ukraine with 10,406 and the USA with 1,003,974 cases have reported the lowest and highest confirmed cases, respectively. In addition, the European region and the African region with 157.13 and 2.50 patients per 100,000 population had the highest and the lowest incidence rate, respectively. India (2.44) and Spain (455.69) had the lowest and the highest incidence rate per 100,000 population, respectively. In the world, 217,759 deaths have happened, of which 135,961 (62.44%) were reported in the European region. Furthermore, the USA had the highest number of deaths (52,428) due to COVID-19. CFR was 7.05% in the world, which ranged from 3.74% in the African region and 9.48% in the European region. The number of patients and deaths due to COVID-19 had increasing trends in all countries, and the trend of CFR just for Iran and Ukraine was negative. CONCLUSION: The countries had different trends in the morbidity and mortality of COVID-19. However, regarding the increasing trend of the disease in the world, it will be more important to rely on public prevention strategies. It is necessary to apply and continue public health policies at national and global levels till the control of the disease.

Preferences of Iranian average risk population for colorectal cancer screening tests.

PURPOSE: The purpose of this paper is to explore the preferences of the average risk Iranian population for colorectal cancer (CRC) screening tests. DESIGN/METHODOLOGY/APPROACH: A standard stated-preferences method with discrete choice models was used to identify the preferences. Data about socio-demographic status, health status and preferences for CRC screening tests were collected by a structured questionnaire that was completed by 500 people aged 50-75 years. Mixed logit model was used to analyze the preferences. FINDINGS: The regression model showed that the test process, pain, place, frequency, preparation, sensitivity, complication risk, mortality rate and cost were the final attributes; that had a statistically significant correlation with the preferences of the people in choosing CRC screening tests. The socio-demographic and health status of participants had no significant correlation with the individuals' preferences. PRACTICAL IMPLICATIONS: This study provides insight into how different characteristics of a CRC screening test might influence the preferences of individuals about that test. ORIGINALITY/VALUE: This was the first study of this type in Iran to elicit the preferences of the average risk population for CRC screening tests using a discrete choice model.