The global economic burden of COVID-19 disease: a comprehensive systematic review and meta-analysis.

BACKGROUND: The COVID-19 pandemic has caused a considerable threat to the economics of patients, health systems, and society. OBJECTIVES: This meta-analysis aims to quantitatively assess the global economic burden of COVID-19. METHODS: A comprehensive search was performed in the PubMed, Scopus, and Web of Science databases to identify studies examining the economic impact of COVID-19. The selected studies were classified into two categories based on the cost-of-illness (COI) study approach: top-down and bottom-up studies. The results of top-down COI studies were presented by calculating the average costs as a percentage of gross domestic product (GDP) and health expenditures. Conversely, the findings of bottom-up studies were analyzed through meta-analysis using the standardized mean difference. RESULTS: The implemented search strategy yielded 3271 records, of which 27 studies met the inclusion criteria, consisting of 7 top-down and 20 bottom-up studies. The included studies were conducted in various countries, including the USA (5), China (5), Spain (2), Brazil (2), South Korea (2), India (2), and one study each in Italy, South Africa, the Philippines, Greece, Iran, Kenya, Nigeria, and the Kingdom of Saudi Arabia. The results of the top-down studies indicated that indirect costs represent 10.53% of GDP, while the total estimated cost accounts for 85.91% of healthcare expenditures and 9.13% of GDP. In contrast, the bottom-up studies revealed that the average direct medical costs ranged from US $1264 to US $79,315. The meta-analysis demonstrated that the medical costs for COVID-19 patients in the intensive care unit (ICU) were approximately twice as high as those for patients in general wards, with a range from 0.05 to 3.48 times higher. CONCLUSIONS: Our study indicates that the COVID-19 pandemic has imposed a significant economic burden worldwide, with varying degrees of impact across countries. The findings of our study, along with those of other research, underscore the vital role of economic consequences in the post-COVID-19 era for communities and families. Therefore, policymakers and health administrators should prioritize economic programs and accord them heightened attention.

Absenteeism Costs Due to COVID-19 and Their Predictors in Non-Hospitalized Patients in Sweden: A Poisson Regression Analysis.

BACKGROUND: This study aimed to estimate absenteeism costs and identify their predictors in non-hospitalized patients in Sweden. METHODS: This cross-sectional study's data were derived from the longitudinal project conducted at Uppsala University Hospital. The mean absenteeism costs due to COVID-19 were calculated using the human capital approach, and a Poisson regression analysis was employed to determine predictors of these costs. RESULTS: The findings showed that the average absenteeism cost due to COVID-19 was USD 1907.1, compared to USD 919.4 before the pandemic (p < 0.001). Notably, the average absenteeism cost for females was significantly higher due to COVID-19 compared to before the pandemic (USD 1973.5 vs. USD 756.3, p = 0.001). Patients who had not fully recovered at the 12-month follow-up exhibited significantly higher costs than those without symptoms at that point (USD 3389.7 vs. USD 546.7, p < 0.001). The Poisson regression revealed that several socioeconomic factors, including age, marital status, country of birth, educational level, smoking status, BMI, and occupation, along with COVID-19-related factors such as severity at onset, pandemic wave, persistent symptoms at the follow-up, and newly introduced treatment for depression after the infection, were significant predictors of the absenteeism costs. CONCLUSIONS: Our study reveals that the mean absenteeism costs due to COVID-19 doubled compared to the year preceding the pandemic. This information is invaluable for decision-makers and contributes to a better understanding of the economic aspects of COVID-19.

Socioeconomic status and COVID-19-related cases and fatalities in the world: A cross-sectional ecological study.

Background and Aims: The COVID-19 pandemic poses an extraordinary threat to global public health. We designed an ecological study to explore the association between socioeconomic factors and the COVID-19 outcomes in 184 countries, using the geographic map and multilevel regression models. Methods: We conducted a cross-sectional ecological study in 184 countries. We performed regression analysis to assess the association of various socioeconomic variables with COVID-19 outcomes in 184 countries, using ordinary least squares and multilevel modeling analysis. We performed two-level analyses with countries at Level 1 and geographical regions at Level 2 in multilevel modeling analysis, using the same set of predictor variables used in ordinary least squares. Results: There was a significant relationship between COVID-19 cases rate (Log) per 100,000 inhabitants-day at risk with human development index (HDI), percentage of the urban population, unemployment, and cardiovascular disease prevalence. The results displayed that the variances are varied between Level 1 (country level) and Level 2 (World Health Organization [WHO] regions), meaning that the geographic distribution represented a proportion of the changes in the COVID-19 outcomes. Conclusion: The study suggests that in addition to the socioeconomic status affects the COVID-19 outcomes, countries' geographical location makes a part of changes in outcomes of diseases. Therefore, health policy-makers could overcome morbidity and mortality in COVID-19 by controlling the socioeconomics factors.

A cost-effectiveness modeling study of treatment interventions for stage I to III esophageal squamous cell carcinoma.

BACKGROUND: Esophageal cancer causes considerable costs for health systems. Appropriate treatment options for patients with esophageal squamous cell carcinoma (ESCC) can reduce medical costs and provide more improved outcomes for health systems and patients. This study evaluates the cost-effectiveness of treatment interventions for patients with ESCC according to the Iranian health system. MATERIAL AND METHODS: A five-state Markov model with a 15-year time horizon was performed to evaluate the cost-effectiveness of treatment interventions based on stage for ESCC patients. Costs ($US 2021) and outcomes were calculated from the Iranian health system, with a discount rate of 3%. One-way sensitivity analyses were performed to assess the potential effects of uncertain variables on the model results. RESULTS: In stage I, the Endoscopic Mucosal Resection (EMR) treatment yielded the lowest total costs and highest total QALY for a total of $1473 per QALY, making it the dominant strategy compared with esophagectomy and EMR followed by ablation. In stages II and III, chemoradiotherapy (CRT) followed by surgery dominated esophagectomy. CRT followed by surgery was also cost-effective with an incremental cost-effectiveness ratio (ICER) of $2172.8 per QALY compared to CRT. CONCLUSION: From the Iranian health system's perspective, EMR was the dominant strategy versus esophagectomy and EMR followed by ablation for ESCC patients in stage I. The CRT followed by surgery was a cost-effective intervention compared to CRT and esophagectomy in stages II and III.

The Lost Productivity Cost of Premature Mortality Owing to Cancers in Iran: Evidence From the GLOBOCAN 2012 to 2018 Estimates.

OBJECTIVES: Estimation of the lost productivity cost of premature deaths because of cancers can provide invaluable information for identifying the priorities and resource needs in the design of cancer control strategies. This study aimed to estimate the premature mortality costs because of cancers using GLOBOCAN estimates in Iran. METHODS: In this study, we estimated the lost productivity cost of premature deaths because of cancers in Iran from 2012 and 2018, using the human capital approach with respect to the cancer site, sex, and age. Data on cancer mortality were extracted from the GLOBOCAN reports. In addition, economic information, such as annual income, employment rate, housekeeping rate, and gross domestic product, was extracted from the World Bank Data and the Statistical Center of Iran. A discount rate of 3% was applied and costs were reported in constant 2017 international dollars. RESULTS: From 2012 and 2018, the lost productivity cost of premature deaths because of cancers increased by 18% in Iran ($2453 million in 2012 and $2887 million in 2018). In contrast, the number of deaths and the years of life lost because of cancers increased by approximately 8%. The mortality cost was approximately 35% and 56% higher in men than in women in 2012 and 2018, respectively. Stomach, colorectal, esophageal, and breast cancers accounted for > 40% of total cancer mortality costs in 2012. Stomach cancer, brain cancer, nervous system cancer, lung cancer, and leukemia were responsible for 57% of cancer mortality costs in 2018. CONCLUSIONS: Based on the findings, the lost productivity costs of premature mortality because of cancers have increased significantly in Iran. Overall, evidence-based policy making for managing the costs of cancers and resource allocation depends on analyzing epidemiological and economic data in the health sector. This study presented helpful findings on cancer mortality costs to support evidence for decision making in healthcare systems.

The economic burden of esophageal cancer in Iran.

Background: Studies on economic burden demonstrate the impacts of some diseases and provide invaluable information for specifying priorities and resource needs when designing cancer control strategies. The current study aimed to estimate the cost of esophageal carcinoma (EC) in Iran in 2018. Methods: This study was conducted on the prevalence approach to estimate the economic burden of EC in Iran from a social perspective. The direct cost was estimated by summing the diagnosis, treatment, follow-up, terminal care, and transport costs. Additionally, a human capital approach was adopted to estimate productivity losses. Various resources were used for data collection, including the GLOBOCAN 2018 report, and the medical record in the Cancer Institute of Iran. Also, data such as exchange rates, employment, and housekeeping rates were extracted from the Central Bank of Iran Statistics. Results: The economic burden of EC in Iran was $69.2 million in 2018, of which $38.7 million is caused by indirect costs and $30.5 million by direct costs. The mortality cost accounted for 49% of the economic burden, followed by 34% direct medical cost, 10% direct non-medical cost, and 7% morbidity cost. Conclusions: Mortality and medical cost appeared to be the main contributor to the economic burden. Therefore, policy-makers are recommended to adopt early detection and effective treatment as a highly cost-effective strategy for controlling costs.

The lost productivity cost of absenteeism due to COVID-19 in health care workers in Iran: a case study in the hospitals of Mashhad University of Medical Sciences.

BACKGROUND: Human resources management plays an important role in social development and economic growth. Absence from work due to health problems can make obstacles to the growth of economy. This study conducted aimed to estimate the absenteeism costs of COVID-19 among the personnel of hospitals affiliated to Mashhad University of Medical Sciences in Mashhad, Iran. METHODS: This cross-sectional study was conducted between February 19, 2020, and September 21, 2020. The absenteeism costs were calculated using the human capital approach. Finally, we applied the linear regression to assess the impact of variables on the lost productivity of absenteeism due to COVID-19 among the personnel of hospitals affiliated to Mashhad University of Medical Sciences. RESULTS: The results of this study showed that 1958 personnel had COVID-19. The total of absenteeism days in our study were 32,209 days, with an average of 16.44 absenteeism days. Total costs due to absenteeism were estimated to be nearly $1.3 million, with an average of $671.4 per patient. The results of regression model showed that gender (male), age (> 50 years), employment Type (non-permanent) and monthly income had a positive relationship with the absenteeism cost. Also, there are a negative significant relationship between absenteeism cost with job (physicians) and work experience. CONCLUSIONS: Absenteeism costs of COVID-19 in the hospitals of Mashhad University of Medical Sciences represent a significant economic burden. The findings of our study emphasize the emergency strategies to prevent and control COVID-19 among the healthcare workers. It can decrease the economic impacts of COVID-19 and improve human resources management during the COVID-19 pandemic.

Cost per DALY averted in low, middle- and high-income countries: evidence from the global burden of disease study to estimate the cost-effectiveness thresholds.

BACKGROUND: Determining the cost-effectiveness thresholds for healthcare interventions has been a severe challenge for policymakers, especially in low- and middle-income countries. This study aimed to estimate the cost per disability-adjusted life-year (DALY) averted for countries with different levels of Human Development Index (HDI) and Gross Domestic Product (GDP). METHODS: The data about DALYs, per capita health expenditure (HE), HDI, and GDP per capita were extracted for 176 countries during the years 2000 to 2016. Then we examined the trends on these variables. Panel regression analysis was performed to explore the correlation between DALY and HE per capita. The results of the regression models were used to calculate the cost per DALY averted for each country. RESULTS: Age-standardized rate (ASR) DALY (DALY per 100,000 population) had a nonlinear inverse correlation with HE per capita and a linear inverse correlation with HDI. One percent increase in HE per capita was associated with an average of 0.28, 0.24, 0.18, and 0.27% decrease on the ASR DALY in low HDI, medium HDI, high HDI, and very high HDI countries, respectively. The estimated cost per DALY averted was $998, $6522, $23,782, and $69,499 in low HDI, medium HDI, high HDI, and very high HDI countries. On average, the cost per DALY averted was 0.34 times the GDP per capita in low HDI countries. While in medium HDI, high HDI, and very high HDI countries, it was 0.67, 1.22, and 1.46 times the GDP per capita, respectively. CONCLUSIONS: This study suggests that the cost-effectiveness thresholds might be less than a GDP per capita in low and medium HDI countries and between one and two GDP per capita in high and very high HDI countries.

Trends in burden of chronic obstructive pulmonary disease in Iran, 1995-2015: findings from the global burden of disease study.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disorder that progresses over time, and currently it is the fourth leading cause of death across the globe. The World Health Organization (WHO) predicts that the disease will become the third leading cause of death by 2030. The present study aimed to assess the burden trends of COPD in Iran by estimating the disability-adjusted life years (DALYs) from 1995 to 2015. METHODS: Data were retrospectively collected as the Global Burden of Disease (GBD) from 1995 to 2015 and published by the Institute for Health Metrics and Evaluation. We applied DALYs, incidence and prevalence rate to report the burden of COPD in Iran. To assess the statistical significance according to trend, the Cochran-Armitage test was applied. Additionally, the t-test was used to analyze the DALYs number by gender and Onaway ANOVA by age groups at a significance level set at P  < 0.05. RESULTS: From 1995 to 2015, there were approximately 1.1 million DALYs attributable to COPD in Iran. In both genders and at all ages, the number of DALYs increased significantly from 176,224 in 1995 to 253,618 in 2015. The incidence and prevalence rate were 76.65 and 1491.37 per 100,000 population, respectively in both genders in 2015 in Iran. It is noticeable that the number of deaths during the study years, 1995 to 2015, was 39,064. This study showed that the COPD burden was significantly different by age groups and gender. CONCLUSIONS: COPD is still a public health problem in Iran and has an increasing trend. The majority of DALYs were due to the years of life lost as a result of premature death (YLLs), indicating that prevention and early detection, especially in the age groups of 15 to 70 years, should be considered.

Burden of esophageal cancer in Iran during 1995-2015: Review of findings from the Global Burden of Disease studies.

Background: Iran is located in Asian esophageal cancer belt, with age-standardized incidence rate (ASR) of approximately 7 per 100,000 for both men and women. To provide potential solution recommendations for achieving accurate estimations regarding the burden of the disease in Iran, we designed a study to assess the burden of esophageal cancer in Iran during 1995-2015 by collecting data from the Global Burden of Disease studies. Methods: Data were extracted from the Global Burden of Disease (GBD) during 1995-2015, which were published by the Institute for Health Metrics and Evaluation. For this purpose, disability adjusted life years (DALYs), incidence, and prevalence rate were applied to report burden of esophageal cancer based on gender and age group in Iran during 1995-2015. The Cochran-Armitage and t test were used to assess statistical significance. Stata Version 13 and Excel 2016 were used for data analysis. Results: During 1995-2015, in total, 304 102 DALYs (179 562 for males vs. 124 540 for females) were attributed to esophageal cancer in Iran. In both genders and all ages, the number of DALYs increased significantly from 45 018 in 1995 to 74 399 in 2015. Conclusion: Esophageal cancer is still a public health issue in Iran. Most of DALYs were due to years of life lost (YLL), suggesting the need for prevention, early detection, and screening programs. P-value was statistically significant just between male and female groups (p<0.05).

Identification determinant factors on willingness to pay for health services in Iran.

BACKGROUND: A common method used to examine the relationship between internal preferences and caring externalities is willingness to pay (WTP) approach. We aimed to estimate WTP for health status with different severity level and identify determinant factors on WTP. METHODS: For determining main factors in WTP, a cross-sectional study was conducted in Shiraz in the southeast of Iran, in March to April 2015. The open-ended method was used to estimate monthly WTP in private and altruistic section. Multivariate regression analyses using ordinary least squares were applied to examine the effect of Scio-demographic factors on WTP using SPSS software 21. RESULTS: Participants were willing to pay an average amount of $ 295 in health status 1 and an average amount of $ 596 in health status 6 (worst status) for internal preferences. Altruistic WTP for health status 1 was $ 294 and participants were willing to pay an average amount of $ 416 in health status 6. Multiple regression analysis identified monthly income as the key determinant of WTP for internal preferences and caring externalities (P < 0.01). With an increase of 1% in income, private WTP increase 1.38% in health status 1. CONCLUSIONS: The finding indicates that the mean of WTP increases at severe health status; therefore, health policy maker should allocate resources toward severe health status.

Health care expenditure in the Islamic Republic of Iran versus other high spending countries.

Background: In all countries, health expenditures are a main part of government expenditure, and governments try to find policies and strategies to reduce this expenditure. Overall expenditure index has been raised 30 times during the past 20 years in Iran, while in the health sector, the growth in health expenditures index has been 71 times. The present study aimed at examining health care expenditure in the Islamic Republic of Iran versus other high spending countries. Methods: A comparative panel study was conducted in selected countries with the high mean of health expenditure per capita. Data were collected from the WORLD BANK. Out- of- pocket (OOP), health expenditure per capita, public and private health expenditure, and total health expenditure were compared among the selected counties. Results: Iran has the lowest health expenditure per capita compared to other countries and the USA has the highest health expenditures per capita. In Iran, out- of- pocket expenditure, with more than 50%, was the most cost, while in Luxembourg it was the least cost during 2004 to 2014, with less than 12%. Conclusion: Our findings revealed that politicians and health care executives should find a stable source to finance the health system. Stable sources of financing lead to having a steady trend in health expenditure.