Out-of-pocket payments for treatment of COVID-19 in Iran

Out-of-pocket expenditures in hospitalized COVID-19 patients: A systematic review and meta-analysis

The outbreak of COVID-19 has led to substantial out-of-pocket (OOP) expenditures for households during treatment. This study aimed to investigate the OOP expenditures among hospitalized patients with COVID-19 through a systematic review and meta-analysis. A systematic review and meta-analysis were conducted following the PRISMA guidelines. Articles were retrieved from the PubMed, Scopus, and Google Scholar in the period of 2019-2022 and evaluated for quality using the STROBE guidelines. Homogeneity was assessed using the I2 index, and publication bias was examined using a funnel plot. Meta-analysis was performed using Stata 16. Results of the study have shown that a total of nine articles were included in the meta-analysis. The average OOP expenditure for hospitalized COVID-19 patients was found to be US $308.25 (95% CI: 4.17-620.67). The highest OOP expenditure was reported by CHAU (2021) (US $3171.28), followed by GRAG (2022) (US $1582.38), and the lowest by KOTWANI (2021) (US $56.35). According to the results obtained Significant inequality was observed in the OOP expenditures across different countries. Consistent policy recommendations should be made in international forums to reduce these costs in future pandemics for patients in both developed and developing nations.

Changes in emergency department visits and mortality during the COVID-19 pandemic: a retrospective analysis of 956 hospitals

BACKGROUND

During the COVID-19 pandemic, many non-COVID-19 emergency department (ED) visits were indirectly affected. ED visits and mortality were assessed during different pandemic time periods compared with pre-pandemic.

METHODS

The study used data from 41 million Iran Health Insurance Organization members. The outcomes were non-COVID-19 ED visits and associated mortality in 956 hospitals. An analysis of ED visits was conducted both for all-cause and cause-specific conditions: cardiovascular diseases (CVD), mental and substance use disorders, unintentional injuries, and self-harm. In addition, total in-hospital ED mortality was analyzed. A negative binomial regression and a Poisson regression with a log link were used to estimate the incidence rate ratio (IRR) of visits and mortality relative risk (RR).

RESULTS

1,789,831 ED visits and 12,377 deaths were reported during the study. Pre-pandemic (Sep 2019 to Feb 2020), there were 2,767 non-COVID-19 visits rate per million person-month, which decreased to 1,884 during the first COVID-19 wave with a national lockdown from Feb 20 to Apr 19, 2020 (IRR 0.68, [0.56-0.84]). The non-COVID-19 ED mortality risk was 8.17 per 1,000 visit-month during the pre-pandemic period, rising to 12.80 during the first wave of COVID-19 (RR 1.57, [1.49-165]). Non-COVID-19 ED visit rates decreased during the first pandemic year from Sep 2020 to Feb 2021 (IRR 0.73, [0.63-0.86]), but increased after COVID-19 vaccination two years later from Sep 2021 to Feb 2022 (IRR 1.11, [0.96-0.17]). The total ED mortality risk for non-COVID-19 was significantly higher after the COVID-19 outbreak in the first (RR 1.66, [1.59-1.72]) and second years (RR 1.27, [1.22-1.32]) of the pandemic. The visit incidence rate for mental health and substance use disorders declined from 8.18 per million person-month to 4.57 (IRR 0.53, [0.32 to 0.90]) in the first wave. In the second year, unintentional injury visits increased significantly compared with pre-pandemic (IRR 1.63, [1.30-2.03]). As compared to before the pandemic, there was no significant change in CVD and self-harm visit rates during the pandemic. Cardiac arrest was the leading cause of death in Iran hospitals' EDs.

CONCLUSION

In the first year of the COVID-19 pandemic, non-COVID-19 hospital ED visits declined and mortality risk increased. Despite two years since the COVID-19 outbreak, non-COVID-19 ED mortality risk remains high.

Productivity Loss of Temporary Work Absenteeism Due to COVID-19 and Its Determinant Factors in Northeastern Iran

OBJECTIVE

This study aimed to estimate the lost productivity cost of temporary work absenteeism due to COVID-19.

METHODS

This study conducted on all hospitalized patients with COVID-19 in northeastern Iran between February 2020 and March 2022 (10,406 cases). Data were collected from the Hospital Information System. Indirect costs were estimated using the human capital approach. Data were analyzed with the STATA version 17.

RESULTS

The total indirect cost of work absenteeism due to COVID-19 was estimated at $513,688. There was a statistically significant relationship between the mean lost productivity cost and COVID-19 peak, sex, insurance type, age, and hospitalization.

CONCLUSIONS

Because the absenteeism costs of COVID-19 had increased in the second peak, which coincided with the summer holidays, the country's crisis management headquarters should pay more attention to formulating and implementing appropriate preventive programs in future epidemics.

Catastrophic health expenditure during the COVID-19 pandemic in five countries: a time-series analysis

BACKGROUND

The COVID-19 pandemic disrupted health systems in 2020, but it is unclear how financial hardship due to out-of-pocket (OOP) health-care costs was affected. We analysed catastrophic health expenditure (CHE) in 2020 in five countries with available household expenditure data: Belarus, Mexico, Peru, Russia, and Viet Nam. In Mexico and Peru, we also conducted an analysis of drivers of change in CHE in 2020 using publicly available data.

METHODS

In this time-series analysis, we defined CHE as when OOP health-care spending exceeds 10% of consumption expenditure. Data for 2004-20 were obtained from individual and household level survey microdata (available for Mexico and Peru only), and tabulated data from the National Statistical Committee of Belarus and the World Bank Health Equity and Financial Protection Indicator database (for Viet Nam and Russia). We compared 2020 CHE with the CHE predicted from historical trends using an ensemble model. This method was also used to assess drivers of CHE: insurance coverage, OOP expenditure, and consumption expenditure. Interrupted time-series analysis was used to investigate the role of stay-at-home orders in March, 2020 in changes in health-care use and sector (ie, private vs public).

FINDINGS

In Mexico, CHE increased to 5·6% (95% uncertainty interval [UI] 5·1-6·2) in 2020, higher than predicted (3·2%, 2·5-4·0). In Belarus, CHE was 13·5% (11·8-15·2) in 2020, also higher than predicted (9·7%, 7·7-11·3). CHE was not different than predicted by past trends in Russia, Peru, and Viet Nam. Between March and April, 2020, health-care visits dropped by 4·6 (2·6-6·5) percentage points in Mexico and by 48·3 (40·6-56·0) percentage points in Peru, and the private share of health-care visits increased by 7·3 (4·3-10·3) percentage points in Mexico and by 20·7 (17·3-24·0) percentage points in Peru.

INTERPRETATION

In three of the five countries studied, health systems either did not protect people from the financial risks of health care or did not maintain health-care access in 2020, an indication of health systems failing to maintain basic functions. If the 2020 response to the COVID-19 pandemic accelerated shifts to private health-care use, policies to cover costs in that sector or motivate patients to return to the public sector are needed to maintain financial risk protection.

FUNDING

The Bill & Melinda Gates Foundation.

Costs of inpatient care and out-of-pocket payments for COVID-19 patients: A systematic review

OBJECTIVE

To identify the costs of hospital care for patients with COVID-19 and the amount of out-of-pocket payments.

METHODS

We conducted a systematic review using Scopus and WEB OF SCIENCE and PubMed databases in April 5, 2022 and then updated in January 15, 2023. English articles with no publication year restrictions were included with study designs of cost-of-illness (COI) studies, cost analyses, and observational reports (cross-sectional studies and prospective and retrospective cohorts) that calculated the patient-level cost of care for COVID-19. Costs are reported in USD with purchasing power parity (PPP) conversion in 2020. The PROSPERO registration number is CRD42022334337.

RESULTS

The results showed that the highest total cost of hospitalization in intensive care per patient was 100789 USD, which was reported in Germany, and the lowest cost was 5436.77 USD, which was reported in Romania. In the present study, in the special care department, the highest percentage of total expenses is related to treatment expenses (42.23 percent), while in the inpatient department, the highest percentage of total expenses is related to the costs of hospital beds/day of routine services (39.07 percent). The highest percentage of out-of-pocket payments was 30.65 percent, reported in China, and the lowest percentage of out-of-pocket payments was 1.12 percent, reported in Iran. The highest indirect cost per hospitalization was 16049 USD, reported in USA, and the lowest was 449.07 USD, reported in India.

CONCLUSION

The results show that the COVID-19 disease imposed a high cost of hospitalization, mainly the cost of hospital beds/day of routine services. Studies have used different methods for calculating the costs, and this has negatively impacted the comparability costs across studies. Therefore, it would be beneficial for researchers to use a similar cost calculation model to increase the compatibility of different studies. Systematic review registration: PROSPERO CRD42022334337.