Assessing health determinants worldwide: Econometric analysis of the Global Burden of Diseases Study 2000-18 - Highlighting impactful factors on DALY, YLL, and YLD indicators.

Background: As the health status of a population is influenced by a variety of health determinants, we sought to assess their impact on health outcomes, both at the global and regional levels. Methods: This ecological study encompassed all 194 member countries of the World Health Organization (WHO) from 2000 to 2018. We first identified all health determinants and then retrieved the related data from various global databases. We additionally considered three indicators - disability-adjusted life years (DALYs), years of life lost (YLL), and years lived with disability (YLD) - in evaluating health outcomes; we extracted their data from the Global Burden of Disease (GBD) 2019 study. We then applied econometric analyses using a multilevel mixed-effects linear regression model. Results: The analysis using the DALY indicator showed that the variables of sexually transmitted infections, injuries prevalence, and urbanisation had the highest effect size or regression coefficients (ß) for health outcomes. The variables of sexually transmitted infection (ß = 0.75, P < 0.001) in the African region; drinking water (ß = -0.60, P < 0.001), alcohol use (ß = 0.20, P < 0.001), and drug use (ß = 0.05, P = 0.036) in the Americas region; urbanisation (ß = -0.34, P < 0.001) in the Eastern Mediterranean region; current health expenditure (ß = -0.21, P < 0.001) in the Europe region; injuries (ß = 0.65, P < 0.001), air pollution (ß = 0.29, P < 0.001), and obesity (ß = 0.92, P < 0.001) in the South-East Asia region; and gross domestic product (ß = -0.25, P < 0.001), education (ß = -0.90, P < 0.001), and smoking (ß = 0.28, P < 0.001) in the Western Pacific region had the most significant role in explaining global health outcomes. Except for the drug use variable in regional findings, the role of other variables in explaining the YLL indicator was greater than that of the YLD indicator. Conclusions: To address global health disparities and optimise resource allocation, global and interregional policymakers should focus on determinants that had the highest ß with health outcomes in each region compared to other regions. These determinants likely have a higher marginal health product, and investing in them is likely to be more cost-effective.

The Effect of COVID-19 Pandemic on Households' Utilization of Rehabilitation Services: National Evidence from Iran Health System.

Background: The coronavirus disease-2019 (COVID-19) pandemic has affected the pattern of utilization of healthcare services. This study aimed to investigate the utilization of rehabilitation services before and after the COVID-19 pandemic in the health system of Iran. Methods: This descriptive-analytical study used data from the Household Income and Expenditure Surveys of the Iran Statistics Center in 2018-2019 (before COVID-19) and 2020 (after COVID-19). The patterns of utilization and expenditures of rehabilitation services before and after this pandemic were investigated in different household sub-groups. The multilevel logistic regression model was used to investigate the effect of COVID-19 on the utilization of health services by households. Results: Although 258 (0.66%) households used rehabilitation services before the COVID-19 pandemic, only 175 (0.47%) households utilized them after the pandemic. Additionally, the average total rehabilitation costs per utilized household were 3,438,185 Iranian Rials (IRR) in 2018-2019 and 2,996,511 IRR in 2020-2021. Sex, age, education, size of household, place of residence, health insurance coverage, and income significantly affected the utilization of rehabilitation services by households during the study period (p < 0.001). Furthermore, the average use of rehabilitation services decreased by 22% (odds ratio = 0.78, p < 0.01) after the pandemic. Conclusion: In Iranian households, the utilization and average expenditure of rehabilitation services significantly decreased after the COVID-19 pandemic. These findings strongly recommend health system policymakers to develop comprehensive plans to address future shocks arising from pandemics and other emergencies.

Socioeconomic inequality in informal payments for health services among Iranian households: a national pooled study.

BACKGROUND: There is limited evidence on the prevalence and socioeconomic inequality in informal payments (IP) of households in the Iranian health system. This study was conducted to investigate the prevalence of IP and related socioeconomic inequalities among Iranian households in all provinces. METHOD: Data on Household Income and Expenditure Surveys (HIES) for 91,360 households were used to examine the prevalence and inequality in informal health sector payments in the years 2016 to 2018. The Normalized Concentration Index (NC) was used to examine inequality in these payments and the decomposition analysis by the Wagstaff approach was used to determine the share of variables affecting the measured inequality. RESULTS: Of the total households, 7,339 (7.9%) reported IP for using health services. Urban households had higher IP (10%) compared to rural ones (5.42%). Also, the proportion of households with IP in 2016 (11.69%) was higher than in 2017 (9.9%), and 2018 (4.60%). NC for the study population was 0.129, which shows that the prevalence of IP is significantly higher in well-off households. Also, NC was 0.213 (p < 0.0001) and -0.019 for urban and rural areas, respectively (p > 0.05). Decomposition analysis indicated that income, sex of head of household, and the province of residence have the highest positive contribution to measured inequality (with contributions of 156.2, 45.8, and 25.6%, respectively). CONCLUSION: There are a significant prevalence and inequality in IP in Iran's health system and important variables have shaped it. On the whole, inequality was pro-rich. This may lead to increasing inequality in access to quality services in the country. Our findings showed that previous health policies such as regulatory tools, and the health transformation plan (HTP) have not been able to control IP in the health sector in the desired way. It seems that consumer-side policies focusing on affluent households, and high-risk provinces can play an important role in controlling this phenomenon.

Inequality in Cosmetic Services and Surgery among Iranian Households in 2019: A Decomposition Analysis.

Background: The demand for cosmetic surgery is on the rise worldwide, making it the common form of surgery globally while the use of cosmetic surgery being exponentially high in Iran. The aim of this study was to investigate inequality in the use of cosmetic services and surgery (CSS) among Iranian households concerning demographic and socio-economic characteristics. Methods: This study used data of 38960 Iranian household from the income-expenditure survey of the statistical center of Iran (SCI) in 2019. Concentration index (C) was used to measure inequalities in the use of CSS. Microsoft Excel sheet 2019 was used to extract the data, and the analysis was performed using Stata statistical package version 14.2. Results: Households with female head, with single head, households with 3 - 4 people, headed with undergraduate education person, households with insurance coverage, with higher socio-economic quintiles, rural households and residents of northwestern Iran were accounted for the highest use of CSS. Also, according to the decomposition analysis, wealth and education level are the two main factors in creating inequality, with wealth, having the highest positive share (88.11%) and education level having the most negative share (-5.26%) in creating measured inequality. Conclusion: The use of CSS is more concentrated in well-off households in Iran. As the resources of health system are limited, the government and the policy makers should have defined plans with regards to CSS use especially taking factors like socioeconomic status and education status of target groups in to account.

Socio-economic inequality in reported dental self-care behaviour among Iranian households: A national pooled study.

BACKGROUND: Setting out effective prevention strategies in dental diseases needs recognition related factors of the prevention behaviours and targeting the most disadvantaged groups in the term of dental hygiene. This study aimed to investigate socio-economic inequality in the dental self-care status (DSS) of Iranian households and decompose the measured inequality into its contributors. METHOD: In this cross-sectional study, pooled data were extracted from Households Income and Expenditure Surveys (HIESs) conducted in Iran from 2012 to 2017. The index of socio-economic status (SES) for each household was constructed using principal components analysis (PCA). We used Wagstaff normalized concentration index as a measure of socio-economic inequality in dental self-care. Decomposition analysis was applied to determine the main factors contributed to the measured inequality. RESULTS: The prevalence of dental self-care in the whole population was 40.56%. The total concentration index was 0.271 (CI: 0.266, 0.275). The results of decomposition analysis for the measured inequality showed that SES, was the highest positive contributors (90.19%) followed by sex of household's head (12.15%), place of residence (11.79%) and education level of household's head (11.71%). Furthermore, the province of residence had the highest negative contribution (-11.37) to the inequality. CONCLUSION: The findings of this study showed that a huge portion of the observed inequality was explained by SES that might give us a policy recommendation: There is room for improving dental health and reducing inequality in dental self-care by paying more attention to SES-disadvantaged households.