Catastrophic health expenditures in hospitalized patients with delta variant of COVID-19: A cross-sectional study.

Background: Financial protection of populations against healthcare costs is one of the fundamental responsibilities of governments. This study aimed to investigate the incidence of catastrophic health expenditures (CHE) and it's affecting factors in hospitalized patients with delta variant of COVID-19. Methods: In this cross-sectional study, we included 400 hospitalized COVID-19 patients at Kosar Hospital of Semnan in 2022, using a researcher-made checklist. Based on qualitative nature of the variables, chi-square test was used to investigate the statistical associations between the demographic/background characteristics and the incidence of CHE. Results: On average, COVID-19 imposed 1833.43 USD direct medical costs per one hospitalized patient. The ratio of direct-medical costs to household's non-food expenses was 2.35, and 61% (CI:±4.78%) of the patients were subject to CHE. Besides, residence place, basic insurance type, benefitting from supplementary insurance, suffering from underlying diseases, hospitalization in ICU, falling into a coma, facing pulmonary failure, and performing hemoperfusion had significant associations with CHE (P<0.05). Conclusion: The incidence of CHE in hospitalized COVID-19 patients was undesirable, which may be due to geographical, economical, and occupational inequalities apart from the factors related to the severity of the disease. So, health policymakers should pay attention to the provision of proper financial risk protection policies to make the health insurance system more efficient and appropriate.

Predictors of 1-Year Perceived Recovery, Absenteeism, and Expenses Due to Low Back Pain in Workers Receiving Mechanical Diagnosis and Therapy: A Prospective Cohort Study.

This multicenter prospective cohort study aimed to preliminarily explore statistically relevant modifiable and predetermined factors for 1-year perceived recovery, absenteeism, and personal expenses in workers who received Mechanical Diagnosis and Therapy (MDT) for low back pain (LBP). Three stepwise multiple regression models were explored with 42 independent variables, including (1) socio-demographic factors; (2) risk stratification; (3) pain-related variables, psychological variables, and behavioral variables at baseline and changes after a month; (4) therapeutic alliance and exercise adherence at 1-month follow-up; and (5) MDT classification and therapist levels. Data from 58 participants were analyzed, after which a model with a medium effect size was developed for 1-year perceived recovery only. Consequently, patients with derangement syndrome were expected to have improved 1-year perceived recovery, with expected predetermined prognostic factors including shorter symptom duration, self-management skills to lead a healthy life, and less pain catastrophization at baseline. A stronger therapeutic alliance between patient and therapist during the 1-month MDT intervention was identified as an expected modifiable prognostic factor. It may be difficult to accurately predict the annual absenteeism and personal expenses due to LBP given the weak to low effect sizes of the developed models.

Informal employment and catastrophic health expenditures: Evidence from Pakistan.

Workers in informal employment suffered significant out-of-pocket healthcare expenditures (OOPHEs) due to their low earnings and a lack of a social safety net or health insurance. There is little or no evidence of impoverishment caused by OOPHEs in the context of labor market categorization. Therefore, this study examines the economic burden of OOPHEs and its associated consequences on households, whose members are in informal employment. This study estimates the incidence of catastrophic health expenditures (CHEs) and impoverishment across the households in formal and informal employment and their key determinants in Pakistan by employing the data from the two rounds of the Household Integrated Economic Survey (2015-16, 2018-19). For measuring CHEs and impoverishment, the budget share and capacity-to-pay approaches are applied. Various thresholds are used to demonstrate the sensitivity of catastrophic measures. We found a higher incidence of catastrophic healthcare payments among the informal workers, that is, 4.03% and 7.11% for 2015-16 and 2018-19, respectively, at a 10% threshold, while at a 40% threshold, the incidence of CHEs is found to be 0.40% and 2.34% for 2015-16 and 2018-19, respectively. These OOPHEs caused 1.53% and 3.66% of households who are in informal employment to become impoverished, compared with their formal counterparts. The study demonstrates that the probability of incurring CHEs and becoming impoverished is high among informal workers, compared with their formal counterparts. This result has clear policy implications, in which to protect the informal workers, it is necessary to expand the insurance coverage, particularly during the COVID-19 response and recovery efforts.

Estimating Medical Insurance Cost using Linear Regression with HyperParameterization, Decision Tree and Random Forest Models

The total health expenditure refers to the total public and private funds spent on health services and amenities, medical and surgical bills and all other healthcare facilities provided. The financing for health is of great significance and plays a crucial role in health systems. To enhance the productivity of human capital, the efficiency and delivery of healthcare services must be uplifted. Reports have shown that from year 2000 to 2018 there had been a gradual escalation of global health expenses and is standing on around 10% of the total GDP of the world. Out of pocket expenses are also high in least developed nations that have lower per capita income. Even though the World Health Organization (WHO) sanctions loans to these countries, these nations are bound to use the money on industrialization only and not their healthcare, education and public welfare sectors. With inflation, the expenses of first-rate healthcare are also rising which makes it fundamental to have health and life insurance plans. Health insurance schemes insured around 514 million people in India in the year 2021, most of which were covered under government schemes only. Since the advent of COVID-19 people have realized the need for having a insurance plan. Most of the companies that are based on the health insurance sector use predictive modelling to improve their services and business process. Machine Learning (ML) algorithms are used to train a model and provide insurance costs estimations. Past data is searched for any pattern or trend in the behaviour history of consumers and then future estimations are evaluated. The proposed project is comprised of different regression models like Linear regression with hyperparameterization , regressors like Decision Tree and Random forest to estimate the approximate insurance expenditure. © 2023 IEEE.

Unhealthy Shock: Changes in Household Expenditures in the First Wave of COVID-19 in India

This article uses nationally representative household survey data between June 2019 and 2020 from India to examine changes in household consumption expenditure following the first wave of the COVID-19 pandemic. We find that across rural and urban households, there was a strong reduction in overall expenditures, in particular, related to food and health. This corroborates findings from existing literature on food insecurity during the first lockdown in India (March–April 2020) and provides the first set of estimates on changes in health expenditure for this period. Although there were expansions to health insurance and subsidized COVID-related healthcare costs in India, our findings likely do not reflect this. We discuss implications for policy and outline future work. © 2023 Indian Institute of Health Management Research.

Determinants of COVID-19 cases and deaths in OECD countries.

Aim: This research aims to examine the effects of variables that can affect COVID-19 deaths and cases in Organisation for Economic Co-operation and Development (OECD) countries during the years 2020 (first wave), 2021 (vaccine available), and 2022 (vaccine available and Omicron variant appeared). Material and method: The factors that are thought to affect the case and death rates in 37 OECD countries were examined by multiple linear regression analysis using SPSS 22. The dependent variables were the COVID-19 deaths and cases per 10,000 (in 2020, 2021, and 2022); the independent variables were universal health coverage, physicians, nurses, intensive care beds, hospital beds, non-communicable diseases mortality per 100,000 people, population over 65 years of age, out-of-pocket expenditure, private expenditure, and health expenditure per capita and percent of % GDP. Results: It was determined that the non-communicable diseases mortality is the relatively important variable COVID-19 cases and deaths in 2020 and 2021. After controlling for the scores of other variables, according to the ß coefficients, a one-unit increase in the number of physicians variable increases COVID-19 cases by 1.14 units in 2022; a one-unit increase in the universal coverage variable decreases COVID-19 deaths by 0.33 units in 2022. Conclusion: The results of this research provide evidence that the effects of the COVID-19 outbreak have changed between 2020, the first wave of the epidemic, 2021, when the vaccine is available, and 2022, when both the vaccine is available and the Omicron variant is seen. With the increase in vaccination in 2022, the impact of non-communicable diseases mortality on the number of COVID-19 cases has decreased.

Cost of Illness of COVID-19 and Its Consequences on Health and Economic System.

The outbreak of COVID-19 has had destructive influences on social and economic systems as well as many aspects of human life. In this study, we aimed to estimate the economic effects of COVID-19 at the individual and societal levels during a fiscal year. This cost of illness analysis was used to estimate the economic burden of COVID-19 in Iran. Data of the COVID-19 patients referred to the hospitals affiliated to Bushehr University of Medical Sciences in 2021 were collected through the Hospital Information System (HIS). The study methodology was based upon the human capital approach and bottom-up technique. The COVID-19 pandemic has resulted in 9711 confirmed hospital cases and 717 deaths in Bushehr province during the study period. The direct and indirect costs were estimated to be $1446.06 and $3081.44 per patient. The economic burden for the province and country was estimated to be $43.97 and $2680.88 million. The results showed that the economic burden of this disease particularly premature death costs is remarkably high. Therefore, in order to increase the resiliency of the health system and the stability in service delivery, preventive-oriented strategies have to be more seriously considered by policymakers.

Willingness to pay for a COVID-19 vaccine for oneself and one's child among individuals attending a tertiary care centre in West Bengal, India.

Background: The free-of-cost supply could not meet the demand for coronavirus disease-2019 (COVID-19) vaccines in India, so the government approved an injection option with a price. We aimed to determine how much money an individual would be willing to pay for a COVID-19 vaccine for themselves and their children and assess the factors determining it. Methods: We conducted a study among all adults visiting the outpatient department of a government tertiary care hospital in West Bengal, India, in August 2021. Trained nursing officers combined bidding game and open-ended question methods during personal interviews to estimate the willingness-to-pay (WTP) values. Results: The mean (standard deviation) age of 1565 participants was 40.8 (12.2) years with 46.5% (n = 727) males, 70.4% (n = 1102) parents, 50.0% (n = 783) educated upto class 12 and 30.9% (n = 483) belonging to upper-middle socio-economic scale (SES). The median (inter-quartile range [IQR]) WTP amount for the first dose and the subsequent/booster dose among the unvaccinated (50.2%, n = 785) and vaccinated (49.8%, n = 780) participants were ₹0 (0-100) and ₹0 (0-200), respectively. The median (IQR) WTP for inoculating children with any COVID-19 vaccine was ₹50 (0-300) in both groups. Significant differences were found in the WTP prices for adult vaccines in both groups concerning age category (P = 0.02), education (P < 0.01) and SES (P < 0.01). Conclusion: Although more than half of the respondents were unwilling to pay for themselves, WTP for COVID-19 vaccination was higher for their children. Policy-makers should consider income, education and age to cap the private sector vaccination price.

COVID-19 crisis and fiscal policies to strengthen the healthcare system

This study investigated the dimensions of health financing needs arising in Turkey due to the COVID-19 crisis. It was explained what kind of fiscal policy should be implemented to strengthen the health systems with increasing financing needs. The study's main purpose is to investigate how the health system financing in Turkey can benefit from fiscal policies to meet the cost of the COVID-19 crisis on health systems. In this context, in the first part of the study, after a short introduction about the importance of the subject in the second part, the economic effects of the COVID-19 crisis and the course of health expenditures were investigated. It has been observed that developing countries lag behind in overcoming the effects of the crisis due to their own structural problems. The crisis has brought up the need to increase the expenditures for health financing worldwide. Turkey has the lowest rate among OECD countries in terms of GDP ratio of health expenditures with 4.4 %. The third part has been researched how the financing of health services in Turkey is provided. The most important sources of financing are taxes, social security premiums, private insurance premiums, and out-of-pocket payments. In the research, it has been observed that this deficit, which the Social Security System has given deficit since the 1990s in Turkey, is covered by the financial transfer from the budget. The share allocated to the Ministry of Health from the central government budget for the last four years is nearly only 5 %. In the fourth chapter, in this case, the designs that governments can make on how to strengthen the health system with taxes, public expenditures, and subsidies using fiscal policy are explained. Examples of fiscal policies for health are taxes on tobacco, tobacco products, and alcohol, subsidies on certain food products, and tax incentives for health care purchases. © 2022 Peter Lang AG. All rights reserved.

Does the National Fitness Policy Promote National Health?-An Empirical Study from China.

The influence of national health level in the stability and sustainable development of national society is increasingly prominent. The purpose of this study is to examine whether, when, and how national fitness policies exert influence on national health. Panel data from 2008 to 2017 of 30 Chinese provinces (cities) (except the Tibet autonomous region) were used to systematically reveal the direct impact of national fitness policies on national health and its characteristics in different regions, as well as the interaction mechanisms of human capital and finance health expenditures in public sports. This study found that first, national fitness policies had a positive effect on adult health. Second, sports human capital weakens the health effect of national fitness policies, while public finance health expenditures strengthen this effect. Lastly, the health effect of national fitness policies varies significantly across regions due to uneven regional economic development, and the differences in the effects on different age groups (adults and children) are equally pronounced. This study suggests that national fitness public service system and diverse national fitness plans improving national health level are important for a new dynamic balance and high quality coordinated development in both Chinese economic growth and social welfare.

Remote Healthcare During the COVID-19 Pandemic: Findings for Older Adults in 27 European Countries and Israel.

The COVID-19 pandemic exacerbated issues regarding access to healthcare for older people, by far the most vulnerable population group. In particular, older adults avoided seeking medical treatment for fear of infection or had their medical treatments postponed or denied by health facilities or health professionals. In response, remote medical services were recognized as an essential adjustment mechanism to maintain the continuity of healthcare provision. Using the SHARE Corona Survey data, we estimate logistic and multilevel regression models for the remote care of 44,152 persons aged 50 and over in 27 European countries and Israel. Our findings suggest that those aged 80+ were the least likely to use remote healthcare. However, women, better educated individuals, older adults who lived in urban areas, those with no financial strain, and active Internet users used remote medical consultations more often. Those who reported poor or fair health status, two or more chronic diseases, or hospitalization in the last 12 months were significantly more likely to use remote healthcare. Furthermore, remote medical consultations were more frequent for those who had their healthcare postponed or went without it due to fear of coronavirus infection. Finally, older adults used remote care more frequently in countries with less healthcare coverage and lower health expenditures. Health systems should prioritize vulnerable groups in maintaining continuity in access to healthcare, despite the availability of remote care. Policymakers should improve telemedicine regulation and offer incentives for providers of remote healthcare services by adapting reimbursement policies. Remote medical care could play an important role in maintaining healthcare access for older adults and increasing health systems' preparedness in future health emergencies.

The limitations of vaccinations to eradicate the covid-19 pandemic because of many environmental, socioeconomic and demographic factors driving diffusion

This study analyses the relation between people fully vaccinated and mortality to assess the effectiveness of this health policy to cope with COVID-19 pandemic between a sample of 150 countries. Statistical analyses show a positive correlation between share of people fully vaccinated and total COVID-19 mortality in early 2022 (r= 0.65, p-value <.01). These results suggest that COVID-19 vaccinations cannot be a sufficient policy response to eradicate the overall negative impact of the new infectious disease in society. Although high levels of vaccinations in some countries, many demographic (density of population), environmental (air pollution), technological (equipment of non-invasive ventilators), biological (new variants), socioeconomic (health expenditures) factors, etc., influence the diffusion and negative effects of COVID-19 pandemic society. This study can provide new knowledge to improve crisis management and the preparedness of countries to cope with or prevent future pandemic crisis and negative effects in socioeconomic systems.

Direct Costs of COVID-19 Inpatient Admissions in a Portuguese Tertiary Care University Centre

Background: The COVID-19 pandemic has posed greater financial pressure on health systems and institutions that had to respond to the specific needs of COVID-19 patients while ensuring the safety of the diagnosis and treatment of all patients and healthcare professionals. To assess the financial impact of COVID-19 patients admitted to hospitals, we have characterized the cost of COVID-19 admissions, using inpatient data from a Portuguese Tertiary Care University Centre. Methods: We analysed inpatient data from adult patients diagnosed with COVID-19 who were admitted between March 1, 2020 and May 31, 2020. Admissions were eligible if the ICD-10-CM principal diagnosis was coded U07.1. We excluded admissions from patients under 18 years old, admissions with incomplete records, admissions from patients who had been transferred to or from other hospitals or those whose inpatient stay was under 24 h. Pregnancy, childbirth, and puerperium admissions were also excluded, as well as admissions from patients who had undergone surgery. Results: We identified 223 admissions of patients diagnosed with COVID-19. Most were men (64.1%) and aged 45-64 years (30.5%). Around 13.0% of patients were admitted to intensive care units and 9.9% died in hospital. The average length of hospital stay was 12.7 days (SD = 10.2) and the average estimated cost per admission was EUR 8,177 (SD = 11,534), which represents more than triple the inpatient base price (EUR 2,386). Human resources accounted for the highest proportion of the total costs per admission (50.8%). About 92.4% of the admissions were assigned to Diagnosis Related Group (DRG) 723, whose inpatient price is lower than COVID-19 inpatient costs for all degrees of severity. Conclusion: COVID-19 admissions represent a substantial financial burden for the Portuguese NHS. For each COVID-19 hospitalized patient it would have been possible to treat three other hospitalized patients. Also, the price set for DRG 723 is not adjusted to the cost of COVID-19 patients. These findings highlight the need for additional financial resources for the health system and, in particular, for hospitals that have treated high volumes of hospitalized patients diagnosed with COVID-19. © 2022 The Author(s). Published by S. Karger AG, Basel on behalf of NOVA National School of Public Health.

Eastern Mediterranean Health Journal [2022;Vol.28, Issue 3]

Eastern Mediterranean Health Journal is the official health journal published by the Eastern Mediterranean Regional Office of the World Health Organization. It is a forum for the presentation and promotion of new policies and initiatives in health services;and for the exchange of ideas concepts epidemiological data research findings and other information with special reference to the Eastern Mediterranean Region. It addresses all members of the health profession medical and other health educational institutes interested NGOs WHO Collaborating Centres and individuals within and outside the Region المجلة الصحية لشرق المتوسط هى المجلة الرسمية التى تصدرعن المكتب الاقليمى لشرق المتوسط بمنظمة الصحة العالمية. وهى منبر لتقديم السياسات والمبادرات الجديدة فى الصحة العامة والخدمات الصحية والترويج لها، و لتبادل الاراء و المفاهيم والمعطيات الوبائية ونتائج الابحاث وغير ذلك من المعلومات، و خاصة ما يتعلق منها باقليم شرق المتوسط. وهى موجهة الى كل اعضاء المهن الصحية، والكليات الطبية وسائر المعاهد التعليمية، و كذا المنظمات غير الحكومية المعنية، والمراكز المتعاونة مع منظمة الصحة العالمية والافراد المهتمين بالصحة فى الاقليم و خارجه La Revue de Santé de la Méditerranée Orientale est une revue de santé officielle publiée par le Bureau régional de l’Organisation mondiale de la Santé pour la Méditerranée orientale. Elle offre une tribune pour la présentation et la promotion de nouvelles politiques et initiatives dans le domaine de la santé publique et des services de santé ainsi qu’à l’échange d’idées de concepts de données épidémiologiques de résultats de recherches et d’autres informations se rapportant plus particulièrement à la Région de la Méditerranée orientale. Elle s’adresse à tous les professionnels de la santé aux membres des instituts médicaux et autres instituts de formation médico-sanitaire aux ONG Centres collaborateurs de l’OMS et personnes concernés au sein et hors de la Région.

Exploring the Roles of Renewable Energy, Education Spending, and CO2 Emissions towards Health Spending in South Asian Countries

This research is mainly aimed at determining the effect of renewable energy (RE), education expenditures, and CO2 emissions on health expenditures in selected South Asian countries. There is an insufficient number of studies that investigate the linkages between health expenditures (HE) and CO2 emissions in South Asian countries. This study combined RE and gross domestic product (GDP) to identify their effect on health spending. We utilized the annual data of 1990–2018, and applied FMOLS and DOLS estimators over the panel data of five South Asian countries. According to the DOLS and FMOLS long-run results, GDP, RE, and education expenditures are negatively associated with health expenditures. This suggests that renewable energy puts less pressure on environmental quality, which leads to less health spending in the five South Asian countries studied. The empirical results also show that HE and CO2 emissions are positively and significantly related, which implies that an increase in CO2 emissions increases the financial burden on the various countries’ health sector. This study, therefore, recommends the usage of renewable sources to improve public health and to help lower health expenditures. To achieve sustainable development, it is also important to increase investment in the educational sector in the various countries.

Health Care Expenditure in the European Union Countries: New Insights about the Convergence Process.

This paper assesses the convergence process in the health care expenditure for selected European Union (EU) countries over the past 50 years. As a novel contribution, we use bound unit root tests and, for robustness purposes, a series of tests for strict stationarity to provide new insights about the convergence process. We make a comparison between public and private health expenditure per capita and as a percentage of the gross domestic product (GDP), with a focus on six EU countries with different health care systems in place. When we consider the health expenditure per capita, we report mixed findings. We show that the spread from the group average is stationary in the cases of Finland and Portugal when the overall and public expenditure is considered. In terms of private expenditure, the convergence process is noticed only for Austria. For all other countries included in our sample, we document a non-stationary process, indicating a lack of convergence. This result is robust to the different tests we use. However, when we assess the convergence in terms of the health-expenditure-to-GDP ratio, the convergence process is recorded for Austria only. The robustness check we performed using strict stationarity tests partially confirmed the mixed results we obtained. Therefore, our findings highlight the heterogeneity of the EU health care systems and the need for identification of common solutions to the EU health care systems' problems in order to enhance their convergence processes.

The efficiency of health systems in response to the covid-19 pandemic: Evidence from the eu countries

The COVID-19 pandemic has revealed the insufficient capacities and capabilities of countries around the world to deal with global infectious diseases and stressed the need to improve the international health security framework. An efficient and comprehensive health system that is able to cope with public health emergencies is an essential prerequisite for strengthening health security. The paper analyzes the efficiency of health systems in the European Union (EU) countries and their responsiveness to the COVID-19 pandemic. The research covers 27 EU countries and it is based on the secondary data contained in the 2019 Global Health Security Index Report. The aim of the paper is to identify key determinants for improving the efficiency of health systems in the EU, as well as to examine the interdependence between health expenditures and the efficiency of health system in this sample of countries. The research is conducted through descriptive statistics and correlation and regression analysis. The conclusions can be useful for the EU policy makers in formulating a strategy to improve the efficiency of Member States’ health systems and preparedness for possible new pandemics. © 2022, Politechnika Lubelska. All rights reserved.

Measuring the Protective Effect of Health Insurance Coverage on Out-of-Pocket Expenditures During the COVID-19 Pandemic in the Peruvian Population.

BACKGROUND: Health insurance coverage is expected to protect individuals from out-of-pocket (OOP) expenditures, potentially preventing them from falling into poverty. However, to date, the effect of health insurance on OOP spending during the coronavirus disease 2019 (COVID-19) pandemic has not been fully explored. This study aimed to estimate differences in the proportion and the amount of OOP expenditures among Peruvians during the pre- and post-mandatory lockdown response to COVID-19 in 2020 according to the health insurance coverage status. METHODS: This study utilized repeated cross-sectional data from the National Household Survey on Living and Poverty Conditions (ENAHO) from the first quarter of 2017 until the fourth quarter of 2020. The outcomes were (i) the proportion of individuals who incurred OOP expenditures and (ii) the monetary value of OOP expenditures. An interrupted time series analysis (ITS) and a quasi-experimental difference-in-difference (DID) analysis were performed to examine the outcomes among the control (individuals without health insurance) and treatment groups (individuals with health insurance) after the COVID-19 pandemic. RESULTS: ITS analysis showed that the proportion of individuals reporting OOP expenditures after implementation of mandatory lockdown due to COVID-19 in Peru decreased in both groups, but no difference in the slope trend was found (P=.916). The average quarterly amount of OOP spending increased in both groups, but no difference in the slope trend was found (P=.073). Lastly, the DID analysis showed that the mandatory lockdown was associated with a higher amount of OOP, but there was no evidence to indicate that the higher amount was different between the control and treatment groups. CONCLUSION: The mandatory lockdown in response to the COVID-19 was associated with a higher amount of OOP expenditures and a lower likelihood of incurring OOP expenditures. However, our findings suggest that health insurance coverage does not lower OOP expenditures or reduce the likelihood of incurring OOP expenditures.

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.

Interpreting forty-three-year trends of expenditures on public health in Canada: Long-run trends, temporal periods, and data differences.

The COVID-19 pandemic has raised concerns around public health (PH) investments. Among OECD countries, Canada devotes one of the largest shares of total health expenditures to PH. Examining retrospectively PH spending growth over a very long period may hold lessons on how to reach this high share. Further, different historical periods can be used to understand how macroeconomic conditions affect PH spending growth. Using forty-three years of data, we examine real PH spending growth per capita, comparatively between thirteen Canadian jurisdictions and with other key publicly funded healthcare sectors (physicians, hospitals, and pharmaceuticals), as well as by four periods defined by macroeconomic conditions. We find a five-fold increase on average in PH spending since 1975, a growth above physicians and hospitals, but below pharmaceuticals. However, there is substantial variation in PH growth between periods and across the country. Because concerns have been raised over PH spending data in other OECD countries, we explore differences between spending estimates reported by the national agency and ten provincial budgetary estimates, and find the former is larger. The magnitude of the difference varies between jurisdictions but not much over time. Although these differences do not challenge the presence of growth in PH spending, they show that the growth may be below that of hospitals. A better categorization of PH financing data is warranted.