Immediate health and economic impact of the Tigray war on internally displaced persons and hosting households.

Globally, war is the major cause of displacement from the usual place of the biological environment. The war of Tigray exposed thousands of people to internal displacement and migration. Evidence has shown that displaced people and migrants shoulder the health and economic burden to ensure survival. However, evidence of the impact of the war on health and the economy related to the displaced people and their hosting communities is not documented. Thus, this study aimed to investigate the health and economic impact of the war on displaced people and the hosting community. A community-based survey was conducted among randomly selected 3572 households of 48 woredas/districts from August 06 to 30/2021 in Tigray. Each district had 4 enumeration sites and there were 20 households (HHs) to be sampled per each enumeration site. Data were collected using a pretested structured questionnaire using face-to-face interviews of displaced and hosting household heads. The entered data is exported to SPSS version 26 statistical packages for data analysis. Summary statistics and geo-spatial analysis was computed. The war had a significant impact on the health and economy of the community of Internally Displaced People (cIDPs) and hosting households. There were 12,691 cIDPs and 3572 hosting HHs. About 12.3% had chronic illness12.3% of (cIDP) who had chronic diseases and follow-up medication was forced to stop their medication. 536 (15%) civilian family members of cIDPs were killed at their homes. During the war, 244 (6.83%) of civilian family members faced physical disability. Consequentially, 43.8% and 58.8% of respondents of cIDPs suffered from severe depression and post-traumatic stress disorder. The war had a significant amount of personal resources such as domestic animals, cereals, cars, machinery, and HH furniture was looted and vandalized by the perpetrator forces from the cIDPs and hosting HHs. The range of family size in the hosting households was 3 to 22. The war had a significant health and economic impact on both cIDPs and hosting HHs. cIDPs suffered from various illnesses and disabilities related to the war with no medical access and follow-up care leading them to stressful situations such as depression and PTSD. There was also a huge economic damage and distraction which threatens the survival of the survivors.

The impact of out-of pocket payments of households for dental healthcare services on catastrophic healthcare expenditure in Iran.

BACKGROUND: Dental healthcare is the costliest and single most source of the financial barrier to seeking and use of needed healthcare. Hence, this study aims to analyses impact of out-of-pocket (OOP) payments for dental services on prevalence catastrophic healthcare expenditure (CHE) among Iranian households during 2018. METHODS: We performed a cross-sectional analysis to determine the prevalence rate of CHE due to use of dental healthcare services among 38,858 Iranian households using the 2018 Household Income and Expenditure Survey (HIES) survey data of Iran. The WHO approach was used to determine the CHE due to use of dental care services at the 40% of household capacity to pay (CTP). Multiple logistic regression models were used to obtain the odds of facing with CHE among households that paid for any dental healthcare services over the last month while adjusting for covariates included in the model. These findings were reported for urban, rural areas and also for low, middle and high human development index HDI across provinces. RESULTS: The study indicated that the prevalence of CHE among households that used and did not used dental services over the last month was 16.5% (95% CI: 14.9 to 18.3) and 4.3% (95% CI: 4.1 to 4.6), respectively. The adjusted odds ratio (AOR) for the covariates revealed that the prevalence of CHE for the overall households that used dental healthcare service was 6.2 times (95% CI: 5.4 to 7.1) than those that did not use dental healthcare services. The urban households that used dental healthcare had 7.8 times (95%CI: 6.4-9.4) while the rural ones had 4.7 times (95% CI: 3.7-5.7) higher odds of facing CHE than the corresponding households that did not use dental healthcare services. CONCLUSIONS: The study indicates that out-of-pocket costs for dental care services impose a substantial financial burden on household's budgets at the national and subnational levels. Alternative health care financing strategies and policies targeted to the reduction in CHE in general and CHE due to dental services in particular are urgently required in low and middle income countries such as Iran.

Comparing the properties of the EQ-5D-5L and EQ-5D-3L in general population in Iran.

BACKGROUND: Little information exists on properties of EQ-5D-5L (the 5L hereafter) compared to the EQ-5D-3L (the 3L hereafter) measures in the context of Iran. This study aims to compare the measurement properties of the two versions of the EQ-5D (the 3L vs. the 5L) using data obtained from general population in Iran. METHODS: A total of 886 adults aged 18 years and above from September to November 2020 participated in this cross-sectional analysis. The required data collected using self-administered and-standard questionnaire and multistage sampling method was used to select the samples. The 3L and 5L measures compared in terms of celling effect, distribution and redistribution pattern, feasibility, convergent validity, know-groups validity and informativity. RESULTS: From September to November 2020, 886 adults (mean aged = 44.6 years; 55% male and 87.1% married) included in the study. The study indicated that the 5L had lower celling effects compared to the 3L (45% vs. 46%). A better convergent validity and known-groups validity was found for the 5L version compared to the 3L and significantly stronger association found between the 5L measure with both the Visual Analogue Scale and the 5-point health status scale. The 5L index score showed higher relative efficiency (RE) in 9 of 11 condition (mean RE = 1.36). Compared to the 3L, the 5L classification system had higher Shannon index (H') in all dimensions: mobility (0.52 vs. 0.40), self-care (0.23 vs. 0.20), usual activities (0.61 vs. 0.47), pain/discomfort (1.19 vs. 0.89) and anxiety/depression (1.22 vs. 0.47). CONCLUSION: The study demonstrated that the measurement properties of 5L version in terms of celling effects, convergent validity, known-groups validity, RE and informativity similar or better than the 3L among general population; suggesting the use of 5L in the context of Iran. Hence, we suggested the use of the 5L in economic evaluation, clinical and public health studies in Iran.

Household Overcrowding in Iran, a Low-middle-income Country: How Major of a Public Health Concern Is It?

OBJECTIVES: Household overcrowding (HC) can contribute to both physical and mental disorders among the members of overcrowded households. This study aimed to measure the status of HC and its main determinants across the provinces of Iran. METHODS: Data from 39 864 households from the 2016 Iranian Household Income and Expenditures Survey were used in this study. The Equivalized Crowding Index (ECI) and HC index were applied to measure the overcrowding of households. Regression models were estimated to show the relationships between different variables and the ECI. RESULTS: The overall, urban, and rural prevalence of HC was 8.2%, 6.3%, and 10.1%, respectively. The highest prevalence of HC was found in Sistan and Baluchestan Province (28.7%), while the lowest was found in Guilan Province (1.8%). The number of men in the household, rural residency, the average age of household members, yearly income, and the household wealth index were identified as the main determinants of the ECI and HC. CONCLUSIONS: The study demonstrated that the ECI and HC were higher in regions near the borders of Iran than in other regions. Therefore, health promotion and empowerment strategies are required to avoid the negative consequences of HC, and screening programs are needed to identify at-risk families.

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.

Trend and status of out-of-pocket payments for healthcare in Iran: equity and catastrophic effect.

BACKGROUND: Equity in the distribution of health care resources and mitigating the risk of out-of-pocket (OOP) catastrophic healthcare expenditures (CHE) are the major objectives of the health system of a country. This study aims to measure equity in OOP payments for healthcare and the incidence of CHE among Iranian households over time. METHODS: This retrospective cross-sectional study utilized data extracted from the household income and expenditure survey (HIES) of Iran, collected by the Statistical Center of Iran. The analysis included a total of 174,341 households' five yearly data of 6 years starting from 1991 to 2017. Kakwani progressivity index (KPI) was used to measure the equity in OOP payment for each year and examine the households' incidence of CHE at 20%, 30%, and 40% of their capacities to pay (CTP). The trend series regression analysis was used to examine the trend in the KPI and the incidence of the CHE over time. RESULTS: The findings indicated that the households' expenditure on health out of their monthly budgets for the years 1991 and 2017 were 2.1% and 10.1%, respectively. The KPI for the OOP payment was negative for all 6-year observations (1991 = - 0.680; 1996 = - 0.608; 2001 = - 0.554; 2006 = - 0.265; 2011 = - 0.225, and 2017 = - 0.207), indicating that the OOP payments for healthcare are regressive and more concentrated among the socioeconomically disadvantaged households. There was a statistically significant (p = 0.003) increase in the KPI (i.e., decline in the regressivity) over time. The incidence of the CHE (1.12, 1.93, and 3.71%) in 1991 at the CTP levels of 20%, 30%, and 40% was lower than the incidence at the corresponding levels of CTP (5.26, 10.88, and 22.16) in 2017. The findings of the time-series regression indicated a statistically significant (p < 0.05) increase in the incidence of the CHE at the 20%, 30%, and 40% levels of the households' CTP. CONCLUSIONS: The current study demonstrated that OOP payment as a source of healthcare funding in Iran is inequitable. While the use of interventions such as the prepaid and publicly funded programs may contribute to the reduction of CHE and improvement of equity in healthcare financing, further inequality analyses in the incidence of the CHE among households and its main determinants can contribute to evidence-informed planning to reduce the CHE in the context.

An exploratory study to estimate cost-effectiveness threshold value for life saving treatments in western Iran.

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.

Inequality in geographical distribution of hospitals and hospital beds in densely populated metropolitan cities of Iran.

BACKGROUND: This study aims to assess geographical distribution of hospitals and extent of inequalities in hospital beds against socioeconomic status (SES) of residents of five metropolitan cities in Iran. METHODS: A cross-sectional analysis was conducted to measure geographical inequality in hospital and hospital bed distributions of 68 districts in five metropolitan cities during 2016 using geographic information system (GIS), and Gini and Concentration indices. Correlation analysis was performed to show the relationship between the SES and inequality in hospital beds densities. RESULTS: The study uncovered marked inequalities in hospitals and hospital beds distributions. The Gini indices for hospital beds were greater than 0.55. The aggregated concentration indices for public and private hospital beds were 0.33 and 0.49, respectively. The GIS revealed that 216 (70.6%) hospitals were located in two highest socioeconomic status classes in the cities. Only 29 (9.5%) hospitals were located in the lowest class. The public, private, and the cumulative hospitals beds distributions in Tehran and Esfahan showed significant (p < 0.05) positive correlation with SES of the residents. CONCLUSIONS: The high inequalities in hospital and hospital beds distributions in our study imply an overlooked but growing concern for geographical access to healthcare in rapidly urbanizing metropolitan cities in Iran. Thus, regardless of ownership, decision-makers should emphasize the disadvantaged areas in metropolitan cities when need arises for the establishment of new healthcare facilities in order to ensure fairness in healthcare. The metropolitan cities and rapid urbanization settings in other countries could learn lessons to reduce or prevent similar issues which might have hampered access to healthcare.

Eliciting Preferences for Health Insurance in Iran Using Discrete Choice Experiment Analysis.

BACKGROUND: The preferences of Iranians concerning the attributes of health insurance benefit packages are not well studied. This study aimed to elicit health insurance preferences among insured people in Iran during 2016. METHODS: A mixed methods study using a discrete choice experiment (DCE) approach was conducted to elicit health insurance preferences on a total sample of 600 insured Iranians residing in Tehran. The final design of the DCE included 8 health insurance attributes. Data were analyzed using conditional logistic regression models. RESULTS: The final model of this DCE study included 8 attributes, and the findings indicated statistically significant (P<.001) increase in the odds ratio (OR) of choosing health insurance at all levels of cost coverage except for the rehabilitation and para-clinical benefits, where at 70% cost coverage there was insignificant (P=.485) disutility (OR=0.95). With the increase in cost coverage level, the probability of choosing health insurance was significantly (P<.001) the highest for the private hospitals' benefits (OR=2.82) followed by public hospitals' benefits (OR=2.02) and outpatient benefits (OR=1.75), and the premium revealed statistically significant (P<.001) disutility (OR=0.96). CONCLUSION: Our findings revealed that participants would be willing to choose health insurance plans with higher cost coverage of healthcare services and with lower premiums. However, the demographic characteristics, income, and health status of the insured individuals affected their health insurance preferences. The findings can contribute to the design of better health insurance policies, improve the participation of individuals in health insurance, and increase the insured individuals' utility from the insurance benefits packages.

Availability and inequality in accessibility of health centre-based primary healthcare in Ethiopia.

BACKGROUND: Achieving fair access to healthcare and improving population health are crucial in all settings. Properly staffed and fairly distributed primary health care (PHC) facilities are prerequisites to ensure accessible healthcare services. Nevertheless, availability and accessibility issues are common public health concerns, especially in under-resourced countries including Ethiopia. Measuring inequalities in accessibility of healthcare resources guide policy decisions to improve PHC services and ultimately achieving universal health coverage (UHC). PURPOSE: To assess availability and measure magnitude and trend of inequalities in accessibility of health centre-based PHC resources in Ethiopia during 2015 to 2017. METHODS: We conducted a cross-sectional population-based analysis of district-level data collected from 16th December 2017 until 24th May 2018. Afar, Dire-Dawa, and Tigray regions were purposefully included in the study to represent the four pastoralist/semi-pastoralist, three urban and four agrarian regions in Ethiopia, respectively. We used ratios, different inequality indices and Gini decomposition techniques to characterise the inequalities. RESULTS: In 2017, median of health centres (HCs) per 15,000 inhabitants and their Gini indices (GIs) for Afar, Dire-Dawa, and Tigray were 0.781, 0.566, 0.591 vs. 0.237, 0.280, 0.216 respectively. Median overall skilled health workers (SHWs) per 10,000 inhabitants were 5.250, 7.539, and 6.246, respectively. These accounted for 11.80%, 16.94% and 14.04% of the WHO target of 44.5 to achieve SDGs. The corresponding GIs for the regions were 0.347, 0.186 and 0.175. Despite a higher overall SHWs inequality in the urban districts of Tigray (GI = 0.301), only Tigray showed significant inequality reductions in GHE (p < 0.001) and in all categories of SHWs (p < 0.05). CONCLUSIONS: Our analysis provided a clear picture of availability and inequalities in PHC resources across three regions in Ethiopia. Identifying contributing factors to low densities and high inequalities of SHWs may help improve PHC services nationwide, along with pathway towards UHC.

Inequalities in healthcare resources and outcomes threatening sustainable health development in Ethiopia: panel data analysis.

OBJECTIVE: To measure inequalities in the distributions of selected healthcare resources and outcomes in Ethiopia from 2000 to 2015. DESIGN: A panel data analysis was performed to measure inequalities in distribution of healthcare workforce, infrastructure, outcomes and finance, using secondary data. SETTING: The study was conducted across 11 regions in Ethiopia. PARTICIPANTS: Regional population and selected healthcare workforce. OUTCOMES MEASURED: Aggregate Theil and Gini indices, changes in inequalities and elasticity of healthcare resources. RESULTS: Despite marked inequality reductions over a 16 year period, the Theil and Gini indices for the healthcare resources distributions remained high. Among the healthcare workforce distributions, the Gini index (GI) was lowest for nurses plus midwives (GI=0.428, 95% CI 0.393 to 0.463) and highest for specialist doctors (SPDs) (GI=0.704, 95% CI 0.652 to 0.756). Inter-region inequality was the highest for SPDs (95.0%) and the lowest for health officers (53.8%). The GIs for hospital beds, hospitals and health centres (HCs) were 0.592(95% CI 0.563 to 0.621), 0.460(95% CI 0.404 to 0.517) and 0.409(95% CI 0.380 to 0.439), respectively. The interaction term was highest for HC distributions (47.7%). Outpatient department visit per capita (GI=0.349, 95% CI 0.321 to 0.377) and fully immunised children (GI=0.307, 95% CI 0.269 to 0.345) showed inequalities; inequality in the under 5 years of age mortality rate increased overtime (P=0.048). Overall, GI for government health expenditure (GHE) was 0.596(95% CI 0.544 to 0.648), and the estimated relative GHE share of the healthcare workforce and infrastructure distributions were 46.5% and 53.5%, respectively. The marginal changes in the healthcare resources distributions were towards the advantaged populations. CONCLUSION: This study revealed high inequalities in healthcare resources in favour of the advantaged populations which can hinder equal access to healthcare and the achievements of healthcare outcomes. The government should strengthen monitoring mechanisms to address inequalities based on the national healthcare standards.

Assessment and prediction of road accident injuries trend using time-series models in Kurdistan.

BACKGROUND: Road traffic accidents are commonly encountered incidents that can cause high-intensity injuries to the victims and have direct impacts on the members of the society. Iran has one of the highest incident rates of road traffic accidents. The objective of this study was to model the patterns of road traffic accidents leading to injury in Kurdistan province, Iran. METHODS: A time-series analysis was conducted to characterize and predict the frequency of road traffic accidents that lead to injury in Kurdistan province. The injuries were categorized into three separate groups which were related to the car occupants, motorcyclists and pedestrian road traffic accident injuries. The Box-Jenkins time-series analysis was used to model the injury observations applying autoregressive integrated moving average (ARIMA) and seasonal autoregressive integrated moving average (SARIMA) from March 2009 to February 2015 and to predict the accidents up to 24 months later (February 2017). The analysis was carried out using R-3.4.2 statistical software package. RESULTS: A total of 5199 pedestrians, 9015 motorcyclists, and 28,906 car occupants' accidents were observed. The mean (SD) number of car occupant, motorcyclist and pedestrian accident injuries observed were 401.01 (SD 32.78), 123.70 (SD 30.18) and 71.19 (SD 17.92) per year, respectively. The best models for the pattern of car occupant, motorcyclist, and pedestrian injuries were the ARIMA (1, 0, 0), SARIMA (1, 0, 2) (1, 0, 0)12, and SARIMA (1, 1, 1) (0, 0, 1)12, respectively. The motorcyclist and pedestrian injuries showed a seasonal pattern and the peak was during summer (August). The minimum frequency for the motorcyclist and pedestrian injuries were observed during the late autumn and early winter (December and January). CONCLUSION: Our findings revealed that the observed motorcyclist and pedestrian injuries had a seasonal pattern that was explained by air temperature changes overtime. These findings call the need for close monitoring of the accidents during the high-risk periods in order to control and decrease the rate of the injuries.

Dental health-care service utilisation and its determinants in West Iran: a cross-sectional study.

BACKGROUND: Dental health care is not only an effective strategy for the prevention, early diagnosis and treatment of oral diseases but also contributes to the general health of communities. This study aimed to investigate the situation of dental health-care service utilisation and its determinants in Kermanshah city, western Iran, in 2015. METHODS AND MATERIALS: A cross-sectional study on a total of 894 household heads was conducted. The participants were selected using a multistage sampling technique. A self-administered questionnaire was used to collect the data. Multiple logistic regression was performed to assess factors associated with utilisation of dental-care services and a negative binomial regression was carried out to identify the main factor associated with the frequency of visiting a dentist for dental health care. A statistically significant association was considered at a value of P < 0.05. All the analyses were performed using STATA version 12. FINDING: Of the total household heads who participated in the study, 60.3% and 9.9% reported visiting a dentist for dental treatment in the past year and for 6-monthly dental check-ups, respectively. The average ± standard deviation number of visits by a respondent was 2.08 ± 2.97. Of the total number of respondents, 281 (31.4%) reported visiting a dentist once or twice in the last 12 months for dental health-care services, while 28.9% reported visiting a dentist more than twice in the same time period. Ageing, having dental insurance, higher income, being a university graduate, self-rated poor oral health and not regularly brushing own teeth were the main factors associated with utilisation of dental health-care services. CONCLUSION: Our study indicates that dental health-care utilisation among households in the study area was influenced by a number of factors, including being socio-economically disadvantaged, self-rated poor oral health and not regularly brushing own teeth. Therefore, in this setting, dental-intervention programmes, including dental health insurance, should focus on mechanisms that can strengthen utilisation of preventive dental health-care services among disadvantaged households.

Estimating the Economic Burden of Lung Cancer in Iran

Objectives: Lung cancer is a major public health problem and one of the most costly illnesses. The study aimed to estimate the economic burden of lung cancer in Iran in 2014. Methods: A cross-sectional study was conducted to estimate the direct and indirect costs for patients with lung cancer using a prevalence-based approach. A human capital approach was employed to estimate the indirect costs. Data were obtained from several sources such as through patient interview using structured questionnaire, medical records, the GLOBOCAN databases, the Iranian Statistical Center, the Iranian Ministry of Cooperation, Labor and Social Welfare, and the Institute for Health Metrics and Evaluation (IHME). Results: The economic burden of lung cancer in Iran in the year 2014 was 3,225,998,555,090 IR. The main components of the cost were associated with mortality (81.9 %) and hospitalization (7.6 %). The costs of direct medical care, non-medical aspects, patient time, and mortality accounted for 10.8%, 2.7%, 4.5%, and 81.5% of the total cost, respectively. Conclusion: Findings from this study indicated that the economic burden of lung cancer is substantial both to Iran's health system and to society as a whole. Early diagnosis, strengthening cancer prevention, implementing new cancer therapy and medical technology, and effective smoking-cessation interventions could offset some of the costs associated with lung cancer in Iran.