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.

The impact of government subsidy programs on equity in health financing.

BACKGROUND: Iran government implemented the targeted subsidy plan in December 2010 to reduce energy consumption and inequality. In addition, the Health Transformation Plan was implemented by the Ministry of Health to reduce out-of-pocket payments. This study aimed to examine the impact of these two government subsidy programs on equity in health financing. METHOD: In this study, data on 528,046 households were collected using household surveys during 14 years (2007-2020). The Fairness in Financial Contribution index and Catastrophic Health Expenditures index were calculated. Also, a Logistic regression model was performed by the applied software of Stata V.14 to examine the effects of the two mentioned policies and other socioeconomic characteristics of households on their exposure to Catastrophic Health Expenditures. RESULTS: The FFC index was 0.829 and 0.795 respectively in 2007 and 2020. The trend analysis did not show significant changes in the FFC index between 2007 and 2020. TSP and HTP implementations do not reduce households' exposure to CHE significantly. Crowded households with more elder people, belonging to low-income deciles, without houses, and living in rural areas and deprived provinces, are more likely to be at risk of CHE. Health insurance coverage did not protect households from CHE. Highly educated and employed households were exposed to less CHE. CONCLUSION: The government subsidy programs have not been effective in improving FFC and reducing CHE indices. None of them has been able to realize the goal of the 6th National Development Plan of reducing CHE to 1%. The government should devise support packages for target households (households with more elderly people, lower incomes, without private houses, crowded, rural, and inhabited in deprived provinces), so they can protect households against CHE. Modifying and improving the quality of insurance coverage is strongly recommended due to its inefficiency.

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.

Explaining Socioeconomic Inequality Differences in Catastrophic Health Expenditure Between Urban and Rural Areas of Iran After Health Transformation Plan Implementation.

OBJECTIVE: Ensuring fair financial contribution is one of the main goals of the Health Transformation Plan (HTP) of Iran. This study aims to estimate socioeconomic inequality differences in catastrophic health expenditure (CHE) between urban and rural areas of Iran after the implementation of the HTP during 2017. MATERIALS AND METHODS: Data from a representative survey of households' income and xpenditure from the Iran Statistical Center (ISC) were used for the analysis. We applied the World Health Organization (WHO) cut-off of 40% payment for CHE, and Wagstaff's normalized concentration index (C) to measure and decompose the inequality. Also, Blinder-Oaxaca decomposition analysis was used to decompose contributors of inequality differences between rural and urban areas. RESULTS: The overall incidence of CHE among Iranian households during the year 2017 was 3.32% with a standard deviation (SD) of 17.91%, and the mean (SD) levels of CHE in rural and urban areas of Iran were 4.37% (20.45%) and 2.97% (16.99%), respectively. The aggregate socioeconomic status (SES)-related inequality in CHE was significantly (p<0.001) different from zero (C=-0.238) and there was a significant (p<0.05) difference between rural (C=-0.150) and urban (C=0.218) areas. SES was the highest contributor to inequality in both rural (130.09) and urban (144.17) areas. The Blinder-Oaxaca decomposition revealed that SES (175.01%) followed by outpatient services (120.29%) were the main contributors to differences in inequality in rural and urban areas. Sex (-101.42%) and health insurance coverage were among negative contributors to this inequality difference. CONCLUSION: Our findings revealed a significant pro-rich inequality in CHE. Also, some variables, such as sex and region, made different contributions in rural and urban areas. However, SES, itself, made the highest contribution in both areas and explained the greatest share of difference in inequality between the two areas. This issue calls for revision of the HTP to further address the risk of CHE and socioeconomic disparity among Iranian households, especially those with lowSES.

Targeted subsidy plan and Kakwani index in Iran health system.

INTRODUCTION: Health care is considered as a human right, and fair financial contribution to health care plays an important role in providing effective services for all members of society. This study aimed at investigating the effects of targeted subsidy plan (since 2010) on equality in health-care financing in Iran from 2004 to 2014. MATERIALS AND METHODS: This was a descriptive-analysis, cross-sectional study that was conducted using data obtained from households' expenditure-income survey that is performed every year by the Statistical Center of Iran. The Lorenz curve, Gini coefficient, and Theil index were applied to measure inequality in healthcare expenditures (HEs). Furthermore, the Kakwani index was used to examine inequality in health-care finance during the study period. The analysis was performed using Stata version 13. RESULTS: Kakwani index was negative for all the studied years, except 2007. The value of this index was equal to -0.032, -0.045, and -0.046 in 2004, 2008, and 2014 for rural areas and was equal to -0.041, -0.029, and -0.0001 for urban areas, respectively. Despite the Kakwani index has been negative for most of the years, which reflects regressive financing in health care, there is no significant change in the trend of this indicator after the implementation of the subsidies. In addition, this indicator is moving toward being positive (progressive) in urban areas in 2014, which represents increased share of the poor in health payments. CONCLUSIONS: According to the results, the targeted subsidy plan could not reach to its purpose in health-care system for supporting the poor from HEs. It is recommended for policy-makers to design a specific plan for health-care financing and to allocate some defined resources such as taxes or subsidies to health-care sector.