Decomposition of Healthcare Utilization Inequality in Iran: The Prominent Role of Health Literacy and Neighborhood Characteristics.

Unequal utilization in healthcare can potentially affect the right to health. Access to healthcare services and achieving positive health outcomes and health equity are essential principles in promoting human rights. This study aims to assess and analyze socioeconomic-related inequalities in outpatient health services utilization (OHSU) among various socio-demographic subgroups to inform policies that foster health equity. Data were collected through a cross-sectional survey of 1200 households in Tehran, Iran. Inequality in OHSU among the socio-demographic subgroups was calculated by concentration, Wagstaff, and Erigers indices. Decomposition was used to identify the factors contributing to inequality in OHSU. Marginal effect and elasticity were used to calculate the relative absolute shares of socio-demographic variables in the inequality. The rate of OHSU was 63.61% (CI: 60-66.80) which concentrated among households with better socioeconomic status. Based on the results, living in an affluent neighborhood (Relative share (RS): 85.48) and having a disabled member in the household (RS: 6.58) were the most important factors in the concentration of OHSU in favor of the privileged groups. In contrast, very low levels of health knowledge (RS: -83.79) and having basic insurance coverage (RS: -3.92) concentrated OHSU in favor of the lower socioeconomic households. The study was conducted based on survey data, and this may lead to some limitations. Given that this study was a cross-sectional study, we were unable to establish causal relationships between explanatory variables and outpatient health service utilization and its relevant predictors. Households with disabled member(s), as well as a member(s) with chronic diseases, may experience severe inequalities in access to healthcare services. Policies that facilitate access to health services for these households can play a significant role in improving health equity.

Decomposed Trends of Iranian Private Health Expenditures: Should Inequality be Appreciated?

Background: Inequalities in health and health care have drawn considerable attention in social determinants of health literature. This study aims to calculate the inequality of out-of-pocket health payments (OPHP) for Iranian households during the period 1984 to 2019 and provide decomposed inequality for households with different socioeconomic status. Methods: This longitudinal study utilized the Iranian Statistics Centre data on Iranian household income and expenditures survey. The analysis includes a total of 995,300 households during a 36-year period from 1984 to 2019. The Theil index and the mean logarithmic deviation were used to decompose inequality into within-group and between-group for OPHP among Iranian households. Results: The findings indicate that the mean of the Theil index for the households covered by insurance is 1.44 (SD ± 0.34), while the index was 1.35 (SD ± 0.31) for households without insurance coverage. The mean of the Theil index for rural and urban households was 1.29 (SD ± 0.29) and 1.43 (SD ± 0.33), respectively. Regardless of the fluctuations, the trends of between- group and within group inequalities in OPHP were almost similar until 2011, but they followed a different path since then. Conclusion: Households living in cities, households with insurance coverage, and households in high income levels have experienced more inequality in OPHP than other households. This study provides a novel interpretation of inequality in health care expenditures and provides a long-term time series data to assess the effectiveness of implemented policies in health care system.

Inequality in Private Health Care Expenditures: A 36-Year Trend Study of Iranian Households.

OBJECTIVES: Throughout history, societies have been impacted by inequality. Many studies have been conducted on the topic more broadly, but only a few have investigated inequalities in out-of-pocket health payments (OHP). This study measures OHP inequality trends among the Iranian households. METHODS: This study used data from the Iranian Statistics Center on Iranian household income and expenditures. The analysis included a total of 995 300 households during the 36 years from 1984 to 2019. The Gini coefficient, Atkinson index, and Theil index were calculated for Iranian OHP. RESULTS: Average Iranian household OHP increased from 33 US dollar (USD) in 1984 to 47 USD in 2019. During this 36-year span, the average±standard deviation Gini coefficient for OHP was 0.73±0.04, and the Atkinson and Theil indexes were 0.68±0.05 and 1.14±0.29, respectively. The Gini coefficients for the subcategories of OHP of outpatient diagnostic services, medical assistant accessories, hospital inpatient services, and addiction cessation were 0.70, 0.61, 0.84, and 0.64, respectively. CONCLUSIONS: In this study, we scrutinized trends of inequality in the OHP of Iranian households. Inequality in OHP decreased slightly over the past four decades. An analysis of trends among different subgroups revealed that affluent households, such as households with insurance coverage and households in higher income deciles, experienced higher inequality. Therefore, lower inequality in health care expenditures may be related to restricted access to health care services in Iran.

Costing the outpatient rehabilitation services: time-driven activity-based costing approach.

BACKGROUND: Considering the importance of healthcare services costing in resource allocation, the aim of this study is to calculate the cost of rehabilitation services in an outpatient rehabilitation clinic in Tehran, Iran. METHODS: The data for this study were categorised as financial data and information about the process of rehabilitation services. The first category was extracted from the financial documents and the second was obtained by observation of patient flow and interviews with the clinic staff in 2016. The cost of rehabilitation services has been estimated using the time-driven activity-based costing approach. RESULTS: The findings show that the cost of physical occupational therapy in the Asma rehabilitation center was $18.79 per unit of service. This amount for speech therapy services was $17.23 to $19.40, taking into account the difference in the quality of the service delivered. The cost of mental health occupational therapy service was between $19.46 and $23.57. Comparing the cost of these services with the government's tariffs makes it clear that there is a huge gap. CONCLUSION: The limited number of patients referred to the center makes the cost of one unit of rehabilitation services much higher than the official tariffs. This is true for almost all similar institutions and makes the profitability of small rehabilitation institutions extremely unstable. Therefore, proper marketing for rehabilitation services by promoting patient referral links with larger healthcare centers and reallocation of resources to the formation of integrated rehabilitation complexes can play a significant role in their profitability.

The Influence of Providing and Receiving Social Support on Older Adults' Well-being.

Introduction: Social support is a leading contributing factor for older adults' well-being. The present study aimed to compare the impact of two-way (providing and receiving) social support on the well-being of Iranian older adults. Methods: The present cross-sectional study was conducted on 1280 community-dwelling older adults in Tehran, Iran, 2020. The researcher used the clustered sampling method and the 2-way Social Support Scale (SSS) to collect samples and measure social support, respectively. The well-being was measured by the self-reported World Health Organization-Five Well-Being Index (WHO-5). Bivariate and hierarchical linear regression analyses were performed to compare the effects of social support aspects on well-being. Data were analyzed using SPSS 20.0. A significance level of p≤0.05 was considered statistically significant. Results: The mean age of the respondents was 70.90 (SD=8.07), and about 70% of the sample was married. The mean scores of taking and providing social support were 20.70 ±7.52 and 17.71 ±7.82, respectively. The hierarchical regression analysis revealed that providing social support is significantly associated with the well-being of older adults beyond and over receiving social support and possible contributing factors (∆F=30.25; ∆R2= 0.39, p<0.05). Conclusion: The results showed that providing social support is more important than receiving it. Older adults should participate in social activities to provide social support.

Economic Value of Life in Iran: The Human Capital Approach.

BACKGROUND: The human life value is among the most important challenges of the health economic evaluation. This limitation has reduced the feasibility of applying the cost-benefit method in evaluations of health interventions and policies. Using the human capital approach and discounted value of future earnings, the present study calculated the human capital of different age groups. METHODS: The required data were obtained using "income and expenditures of Iranian households" data in 2015 from the Statistical Center of Iran, which included the information on 19380 urban households. RESULTS: According to the calculation of human capital, the maximum value of a statistical life year in the high-income group was related to the age group of 30-34 yr old (223,286 US$ equals to 9378 million Iranian Rials). The lowest value in all three groups of high, medium and low income is related to the age group of 85 and older. In addition, the economic value of statistical life year for men has been calculated as higher than that of women, however, in older age groups, the human capital of both genders have been converging. CONCLUSION: The economic value of life for young people aged between 20 to 30 yr was higher than other demographic groups. The findings of the research help to provide a more accurate base for the cost-benefit analysis of health and social policies. Considering the economic value of the statistical life for different age groups may change policy priorities in areas related to health and life of human beings.

Health systems efficiency in Eastern Mediterranean Region: a data envelopment analysis.

BACKGROUND: One of the most important issues in public policy and welfare state is health care. Poor management leads to the waste of resources, including money, human resources, facilities, and equipment. AIMS: This paper seeks to answer the question of which eastern Mediterranean countries are more effective in allocating their health resources, and does Iran, in relation to those countries, have an effective health system. METHODS: This study examined technical efficiency among eastern Mediterranean countries in 2018. Data were extracted from Global Health Observatory data World Health Organization. We applied input-oriented Data Envelopment Analysis (DEA) models to estimate efficiency scores. Inputs are Physicians density per 10,000 populations, Total hospital beds per 10,000 populations, Current expenditure on health, % of gross domestic product and outputs are infant survival rate and Life expectancy. RESULTS: The most efficient health systems in the eastern Mediterranean were Bahrain, Egypt, Iran, Lebanon, Morocco, Oman, Pakistan, Qatar, Tunisia and the United Arab Emirates. The inefficient countries are Iraq, Jordan, Kuwait, Libya, Palestine and Saudi Arabia. CONCLUSIONS: Among the efficient countries, one category of high-entry countries such as Bahrain and Qatar with high input especially in health expenditure had higher output. The second group of countries with lower inputs such as Iran and Morocco has been able to produce similar output with other countries. Also, inefficiency in countries such as Saudi Arabia can be attributed to this with higher input such as health expenditure has lower output such life expectancy and infant survival rate.

Spatial pattern of well-being in Tehran: The north-south gap.

Background: Human well-being is a core global issue. Thus, achieving and sustaining higher levels of well-being is a challenge for citizens, governments, and international organizations worldwide. The present study aimed at describing the well-being status of residents of Tehran municipal districts. To achieve this, a composite well-being index was constructed for 22 municipal districts of Tehran (Tehran Well-being Index; TWI). Methods: This cross sectional study was conducted from May to October 2017 in Tehran using the data collected in the second round of Urban Health Equity Assessment and Response Tool (Urban HEART) Project of Tehran (2012-2013). The statistical population of this study was 22 municipal districts of Tehran and a sample of 34 700 households (118 000 individuals) selected using multistage cluster sampling. TWI was developed through the Organization for Economic Cooperation and Development (OECD) methodology of constructing composite indicators. Then, 22 municipal districts were categorized based on TWI scores. All data were analyzed using SPSS v.18. In addition, a cartogram was applied using GIS software to classify well-being status among Tehran municipal districts. Results: Factor analysis results showed that the Kaiser-Meyer-Olkin (KMO) value was 0.691 and 2 factors (material well-being and psychological well-being) explained 74.13% of the total variances. Furthermore, the best and worst performances were found in districts 6 and 17, respectively. District 6 had the best and district 17 the worst material well-being status. Also, districts 6 and 19 had the best and worst psychological well-being status, respectively. Conclusion: In general, the well-being status of the municipal districts of Tehran can be divided into 5 main categories: (a) prosperous (districts 1, 2, 3, 5, and 6); (b) fairly prosperous (districts 4, 21, and 22); (C) moderately prosperous (districts 7, 8, and 13); (d) less prosperous (9, 10, 11, 14, and 12); and (e) deprived zone (districts 12, 15, 16, 17, 18 and 19).

Health care cost disease as a threat to Iranian aging society.

BACKGROUND: Because of the rapid aging rate, the share of health expenditure in gross domestic product rises irreversibly and increases concern among politicians and the general public. The aim of this study was to examine the accuracy of the Baumol's model of unbalanced growth in Iran over the period 1981-2010. METHODS: This theoretical-analytical study was conducted in 2012 to investigate the various determinants of ongoing rise in the health expenditures. To this end, an Error Correction Model was derived from the long run cointegrating equation to inquire the veracity of Baumol's theory. RESULTS: Estimating the short run and long run equations by using time series data shows that the rate of increase in health expenditure is aligned with the difference between wage increases in and growth of productivity in the health sector. Besides, results show that both the per capita income and the inflation rate of health care had significant effects on raising the share of health sector in domestic economy. CONCLUSIONS: According to rapid population aging and existence of Baumol's cost disease in Iranian health sector, we predict much more rise in health expenditure in a few decades.