Treatment of coronavirus disease 2019 in Shandong, China: a cost and affordability analysis

Management cost of acute respiratory infections in older adults in China: A systematic review and meta-analysis

Background

Acute respiratory infection (ARI) poses a significant public health challenge worldwide, particularly among older adults. Understanding the cost of ARI management is important for optimising intervention strategy. We aimed to estimate the management cost of ARI in older adults in China.

Methods

We searched three English databases (MEDLINE, Embase, and Web of Science) and four Chinese databases (Chinese National Knowledge Infrastructure, Wanfang, SinoMed, and VIP) to identify studies published between 1 January 1995 and 27 February 2023 on the cost of ARI management in older adults in China. We pooled up age group and category-specific costs across individual studies by calculating median and interquartile range (IQR). All cost results were converted and inflated to USD in 2021.

Results

We included 99 studies, of which 50 were determined as high quality. In those aged >60 years, the median total cost of ARI, including direct medical, direct non-medical, and indirect cost, was USD 3263 (IQR = 2676-3786) in the inpatient setting and USD 104 (IQR = 80-129) in the outpatient setting. For both inpatient and outpatient settings, direct medical costs accounted for most of the costs (69.3% and 54.8%, respectively). There was an increasing trend over age in the median direct medical cost in the inpatient setting, ranging from USD 1517 (IQR = 1114-2017) in those aged ≥50 years to USD 3493 (IQR = 2608-4378) in those aged ≥80 years.

Conclusions

Our study fills the knowledge gap on the cost of ARI and suggests that the overall cost of ARI is substantial among older adults in China. Cost data stratified by region, pathogen, and presence of comorbidities are warranted to help further identify subpopulations with higher ARI management costs.

Registration

PROSPERO CRD42023485669.

Do COVID-19 Infectious Disease Models Incorporate the Social Determinants of Health? A Systematic Review

Objectives

To identify COVID-19 infectious disease models that accounted for social determinants of health (SDH).

Methods

We searched MEDLINE, EMBASE, Cochrane Library, medRxiv, and the Web of Science from December 2019 to August 2020. We included mathematical modelling studies focused on humans investigating COVID-19 impact and including at least one SDH. We abstracted study characteristics (e.g., country, model type, social determinants of health) and appraised study quality using best practices guidelines.

Results

83 studies were included. Most pertained to multiple countries (n = 15), the United States (n = 12), or China (n = 7). Most models were compartmental (n = 45) and agent-based (n = 7). Age was the most incorporated SDH (n = 74), followed by gender (n = 15), race/ethnicity (n = 7) and remote/rural location (n = 6). Most models reflected the dynamic nature of infectious disease spread (n = 51, 61%) but few reported on internal (n = 10, 12%) or external (n = 31, 37%) model validation.

Conclusion

Few models published early in the pandemic accounted for SDH other than age. Neglect of SDH in mathematical models of disease spread may result in foregone opportunities to understand differential impacts of the pandemic and to assess targeted interventions.

Systematic Review Registration

[https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020207706], PROSPERO, CRD42020207706.

Effects of a Diagnosis-Related Group Payment Reform on Length and Costs of Hospitalization in Sichuan, China: A Synthetic Control Study

Background

Diagnosis-related group (DRG) payment policies are increasingly recognized as crucial instruments for addressing health care overprovision and escalating health care costs. The synthetic control method (SCM) has emerged as a robust tool for evaluating the efficacy of health policies worldwide.

Methods

This study focused on Panzhihua city in Sichuan Province, a pilot city for DRG payment reform implementation, serving as the treatment group. In contrast, 20 nonpilot cities within the province were utilized as potential control units. A counterfactual control group was constructed to evaluate the changes in average inpatient stay duration and health care organization costs following the DRG payment reform initiated in 2018.

Results

Focusing on Panzhihua, Sichuan Province, the analysis reveals that following the reform in March 2018, the average length of hospital stay in Panzhihua decreased by 1.35 days during 2019-2021. Additionally, the average cost per hospitalization dropped by 855.48 RMB, the average cost of medication per hospitalization decreased by 68.51 RMB, and the average cost of diagnostic and therapeutic procedures per hospitalization declined by 136.37 RMB. While global evidence backs DRGs for efficiency and cost reduction, challenges persist in addressing emerging issues like new conditions.

Conclusion

Since its introduction in 2018, the DRG payment reform in Sichuan Province has effectively reduced both the duration of hospital stays and the operational costs of health care facilities. However, potential drawbacks include compromised service quality and an elevated risk of patient readmission, indicating a need for further refinement in the implementation of DRG payment reforms in China.

The financial burden of SARS-CoV-2 pregnancies in a tertiary exclusive COVID-19 maternity

The COVID-19 pandemic had a major impact on health systems worldwide, and Romania was no exception. The impact on healthcare expenses for pregnant women was considerable, especially in COVID-19-only tertiary centers. This study aimed to analyze the impact of the COVID-19 pandemic on healthcare costs in a designated COVID-19 maternity ward. We conducted an observational study comparing pregnant women with SARS-CoV-2 (study group) to those without the infection (control group). Patients were recruited at Bucur Maternity Hospital from March 2020 to March 2022. We evaluated expenses for the entire period of hospitalization, treatment, medical supplies, and medical investigations. The study included 600 pregnant women, divided equally into two groups of 300 each. Significant cost differences were observed between the COVID-19 and non-COVID-19 groups: medication costs (664.56 EUR vs. 39.49 EUR), administrative costs (191.79 EUR vs. 30.28 EUR), and medical investigation costs (191.15 EUR vs. 29.42 EUR). The costs for a severe case of COVID-19 were about two times higher than a mild case and 70 times higher than a non-COVID-19 case (P <0.001). We identified a significant cost increase due to SARS-CoV-2 infection in our unit. The expenses were augmented by the time of hospitalization, medication, and medical investigations. COVID-19 had a significant impact on healthcare costs, mostly among pregnant women with severe disease. The strategy of operating exclusively as a COVID-19 unit proved to be inefficient and highly costly to our hospital.

The Economic Burden of the COVID-19 Pandemic in State of Kuwait

Purpose

The main aim of this study is to estimate the provider's cost, patients' cost (home and institutional quarantine cost) and the total economic burden of COVID-19 for patients with PCR positive in Kuwait.

Patients and Methods

This cross-sectional and retrospective study identified the cost incurred for treating COVID-19 inpatients admitted to a General Hospital in Kuwait, a designated COVID-19 treatment center by the Kuwait Government during pandemic. A total of 485 COVID-19 patients were randomly selected from May 1st to September 31st, 2021. Data on sociodemographic information, length of stay (LOS), discharge status, and comorbidities were obtained from the patients' medical records. A step-down approach was done to estimate the healthcare provider cost per patient per admission. Patient cost (loss of productivity due to hospitalization, institutional and home quarantine) was calculated using human capital approach. The national economic burden of COVID-19 was estimated using costing data from a general hospital for the entire nation. The data were analyzed using the statistical software package SPSS version 25.

Results

In all, 485 COVID-19 patients were involved in the research. KD 2216 (USD 7,344) was the average cost per patient per admission. The ICU accounted for 20.6% of the total cost, the physician and nursing staff for 42.1%, and the laboratory services for 10.2%. The estimated annual cost of care for COVID-19 patients in Kuwait was KD 147.4 (USD 488.5) million, or 5.5% of the MOH budget for 2021, given that 9.03% (383,731) of the population had positive COVID-19 PCR results in 2021. The range of the estimated national economic burden, considering both the best and worst-case scenarios, is KD 73.6 (USD 244.2) million to KD 221.0 (USD 732.7) million.

Conclusion

COVID-19 poses a substantial financial strain on the healthcare system, estimated at 5.9% to 8.8% of the MOH's annual budget and 0.2% to 0.7% of Kuwait's GDP in 2021. To mitigate costs, prioritizing prevention and health education is crucial. Targeted strategies, such as workforce optimization, are needed to address high expenses. Policymakers and administrators should leverage these insights for enhanced efficiency and sustainability in future epidemic responses.

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.

Cost of illness studies in COVID-19: a scoping review

BACKGROUND

Human communities suffered a vast socioeconomic burden in dealing with the pandemic of coronavirus disease 2019 (COVID-19) globally. Real-word data about these burdens can inform governments about evidence-based resource allocation and prioritization. The aim of this scoping review was to map the cost-of-illness (CoI) studies associated with COVID-19.

METHODS

This scoping review was conducted from January 2019 to December 2021. We searched cost-of-illness papers published in English within Web of Sciences, PubMed, Google Scholar, Scopus, Science Direct and ProQuest. For each eligible study, extracted data included country, publication year, study period, study design, epidemiological approach, costing method, cost type, cost identification, sensitivity analysis, estimated unit cost and national burden. All of the analyses were applied in Excel software.

RESULTS

2352 records were found after the search strategy application, finally 28 articles met the inclusion criteria and were included in the review. Most of the studies were done in the United States, Turkey, and China. The prevalence-based approach was the most common in the studies, and most of studies also used Hospital Information System data (HIS). There were noticeable differences in the costing methods and the cost identification. The average cost of hospitalization per patient per day ranged from 101$ in Turkey to 2,364$ in the United States. Among the studies, 82.1% estimated particularly direct medical costs, 3.6% only indirect costs, and 14.3% both direct and indirect costs.

CONCLUSION

The economic burden of COVID-19 varies from country to country. The majority of CoI studies estimated direct medical costs associated with COVID-19 and there is a paucity of evidence for direct non-medical, indirect, and intangible costs, which we recommend for future studies. To create homogeneity in CoI studies, we suggest researchers follow a conceptual framework and critical appraisal checklist of cost-of-illness (CoI) studies.

Cost of in-patient management of COVID-19 patients in a general hospital in Kuwait

BACKGROUND

Among the GCC countries affected by COVID-19 infections, Kuwait has been significantly impacted, with 658,520 cases and 2,563 deaths reported by the WHO on September 30, 2022. However, the impact of the COVID-19 epidemic on Kuwait's economy, especially in the healthcare sector, remains unknown.

OBJECTIVE

This study aims to determine the total cost of managing COVID-19 in-patients in Kuwait.

METHOD

A cross-sectional design was employed for this study. A total of 485 COVID-19 patients admitted to a general hospital responsible for COVID-19 cases management were randomly selected for this study from May 1st to September 31st, 2021. Data on sociodemographic information, length of stay (LOS), discharge status, and comorbidities were obtained from the patients' medical records. The data on costs in this study cover administration, utility, pharmacy, radiology, laboratory, nursing, and ICU costs. The unit cost per admission was calculated using a step-down costing method with three levels of cost centers. The unit cost was then multiplied by the individual patient's length of stay to determine the cost of care per patient per admission.

FINDINGS

The mean cost of COVID-19 in-patient care per admission was KD 2,216 (SD = 2,018), which is equivalent to USD 7,344 (SD = 6,688), with an average length of stay of 9.4 (SD = 8.5) days per admission. The total treatment costs for COVID-19 in-patients (n = 485) were estimated to be KD 1,074,644 (USD 3,561,585), with physician and nursing care costs constituting the largest share at 42.1%, amounting to KD 452,154 (USD 1,498,529). The second and third-largest costs were intensive care (20.6%) at KD 221,439 (USD 733,893) and laboratory costs (10.2%) at KD 109,264 (USD 362,123). The average cost for severe COVID-19 patients was KD 4,626 (USD 15,332), which is almost three times higher than non-severe patients of KD 1,544 (USD 5,117).

CONCLUSION

Managing COVID-19 cases comes with substantial costs. This cost information can assist hospital managers and policymakers in designing more efficient interventions, especially for managing high-risk groups.

Economic costs related to coronavirus disease 2019 pandemic: A systematic literature review

Due to the COVID-19 pandemic, the pressure on healthcare systems has been tremendous and it is having a huge economic impact. The objective of this paper is to carry out a systematic literature review of the publications that have analysed the costs derived from COVID-19 from the patient's perspective. Not only is this study aimed at measuring the impact of COVID-19 in economic terms, but also in qualitative terms, analysing, for instance, the types of costs (direct and indirect) and their variations depending on the geographical area under study. Searches were conducted in PubMed, Cochrane Library, Web of Science and Scopus. The time frame for the analysis was from the start of the pandemic until 9th December 2021. A total of 322 papers were found. The number of articles assessed for eligibility was 32, and after applying the exclusion criteria, 13 papers were included in the qualitative synthesis. Most of the studies analysed only direct costs (69.23%) and were focused on Asia (61.54%), where the larger indirect costs, as well as the greater total costs, were found. However, the higher costs per patient and year were shown for the United States. This investigation showed the importance of COVID-19 in national, regional and local budgets. More studies are to be developed in Europe due to both the existing differences in the health care systems and financing by country and the difference in the incidence of COVID-19 by country and wave.

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.

Impact of vaccination and non-pharmacological interventions on COVID-19: a review of simulation modeling studies in Asia

Introduction

Epidemiological modeling is widely used to offer insights into the COVID-19 pandemic situation in Asia. We reviewed published computational (mathematical/simulation) models conducted in Asia that assessed impacts of pharmacological and non-pharmacological interventions against COVID-19 and their implications for vaccination strategy.

Methods

A search of the PubMed database for peer-reviewed, published, and accessible articles in English was performed up to November 2022 to capture studies in Asian populations based on computational modeling of outcomes in the COVID-19 pandemic. Extracted data included model type (mechanistic compartmental/agent-based, statistical, both), intervention type (pharmacological, non-pharmacological), and procedures for parameterizing age. Findings are summarized with descriptive statistics and discussed in terms of the evolving COVID-19 situation.

Results

The literature search identified 378 results, of which 59 met criteria for data extraction. China, Japan, and South Korea accounted for approximately half of studies, with fewer from South and South-East Asia. Mechanistic models were most common, either compartmental (61.0%), agent-based (1.7%), or combination (18.6%) models. Statistical modeling was applied less frequently (11.9%). Pharmacological interventions were examined in 59.3% of studies, and most considered vaccination, except one study of an antiviral treatment. Non-pharmacological interventions were also considered in 84.7% of studies. Infection, hospitalization, and mortality were outcomes in 91.5%, 30.5%, and 30.5% of studies, respectively. Approximately a third of studies accounted for age, including 10 that also examined mortality. Four of these studies emphasized benefits in terms of mortality from prioritizing older adults for vaccination under conditions of a limited supply; however, one study noted potential benefits to infection rates from early vaccination of younger adults. Few studies (5.1%) considered the impact of vaccination among children.

Conclusion

Early in the COVID-19 pandemic, non-pharmacological interventions helped to mitigate the health burden of COVID-19; however, modeling indicates that high population coverage of effective vaccines will complement and reduce reliance on such interventions. Thus, increasing and maintaining immunity levels in populations through regular booster shots, particularly among at-risk and vulnerable groups, including older adults, might help to protect public health. Future modeling efforts should consider new vaccines and alternative therapies alongside an evolving virus in populations with varied vaccination histories.

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.

COVID-19 in real world: Survival and medical costs of hospitalized patients in Brazil´s first wave

OBJECTIVE

To evaluate survival and direct medical costs of patients admitted in private hospitals with COVID-19 during the first wave.

METHODS

A retrospective, observational study analyzing survival and the economic data retrieved on hospitalized patients with COVID-19. Data from March 2020 to December 2020. The direct cost of hospitalization was estimated using the microcosting method with each individual hospitalization.

RESULTS

342 cases were evaluated. Median age of 61.0 (95% CI 57.0‒65.0). 194 (56.7%) were men. The mortality rate was higher in the female sex (p = 0.0037), ICU (p < 0.001), mechanical ventilation (p<0.001) and elderly groups. 143 (41.8%) patients were admitted to the ICU (95% CI 36.6%-47.1%), of which 60 (41.9%) required MV (95% CI 34.0%-50.0%). Global LOS presented median of 6.7 days (95% CI 6.0-7.2). Mean costs were US$ 7,060,00 (95% CI 5,300.94-8,819,00) for each patient. Mean cost for patients discharged alive and patients deceased was US$ 5,475.53 (95% CI 3,692.91-7,258.14) and US$ 12,955.19 (95% CI 8,106.61-17,803.76), respectively (p < 0.001).

CONCLUSIONS

Patients admitted with COVID-19 in these private hospitals point to great economic impact, mainly in the elderly and high-risk patients. It is key to better understand such costs in order to be prepared to make wise decisions during the current and future global health emergencies.

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.

Treatment cost assessment for COVID-19 inpatients in Shenzhen, China 2020-2021: facts and suggestions

Background

Knowledge regarding the treatment cost of coronavirus disease 2019 (COVID-19) in the real world is vital for disease burden forecasts and health resources planning. However, it is greatly hindered by obtaining reliable cost data from actual patients. To address this knowledge gap, this study aims to estimate the treatment cost and specific cost components for COVID-19 inpatients in Shenzhen city, China in 2020-2021.

Methods

It is a 2 years' cross-sectional study. The de-identified discharge claims were collected from the hospital information system (HIS) of COVID-19 designated hospital in Shenzhen, China. One thousand three hundred ninety-eight inpatients with a discharge diagnosis for COVID-19 from January 10, 2020 (the first COVID-19 case admitted in the hospital in Shenzhen) to December 31, 2021. A comparison was made of treatment cost and cost components of COVID-19 inpatients among seven COVID-19 clinical classifications (asymptomatic, mild, moderate, severe, critical, convalescent and re-positive cases) and three admission stages (divided by the implementation of different treatment guidelines). The multi-variable linear regression models were used to conduct the analysis.

Results

The treatment cost for included COVID-19 inpatients was USD 3,328.8. The number of convalescent cases accounted for the largest proportion of all COVID-19 inpatients (42.7%). The severe and critical cases incurred more than 40% of treatment cost on western medicine, while the other five COVID-19 clinical classifications spent the largest proportion (32%-51%) on lab testing. Compared with asymptomatic cases, significant increases of treatment cost were observed in mild cases (by 30.0%), moderate cases (by 49.2%), severe cases (by 228.7%) and critical cases (by 680.7%), while reductions were shown in re-positive cases (by 43.1%) and convalescent cases (by 38.6%). The decreasing trend of treatment cost was observed during the latter two stages by 7.6 and 17.9%, respectively.

Conclusions

Our findings identified the difference of inpatient treatment cost across seven COVID-19 clinical classifications and the changes at three admission stages. It is highly suggestive to inform the financial burden experienced by the health insurance fund and the Government, to emphasize the rational use of lab tests and western medicine in the COVID-19 treatment guideline, and to design suitable treatment and control policy for convalescent cases.

Estimated cost of treating hospitalized COVID-19 patients in Saudi Arabia

The economic impact of the COVID-19 pandemic on global health systems is a major concern. To plan and allocate resources to treat COVID-19 patients and provide insights into the financial sustainability of healthcare systems in fighting the future pandemic, measuring the costs to treat COVID-19 patients is deemed necessary. As such, we conducted a retrospective, real-world observational study to measure the direct medical cost of treating COVID-19 patients at a tertiary care hospital in Saudi Arabia. The analysis was conducted using primary data and a mixed methodology of micro and macro-costing. Between July 2020 and July 2021, 287 patients with confirmed COVID-19 were admitted and their data were analyzed. COVID-19 infection was confirmed by RT-PCR or serologic tests in all the included patients. There were 60 cases of mild to moderate disease, 148 cases of severe disease, and 79 critically ill patients. The cost per case for mild to moderate disease, severe disease, and critically ill was 2003 USD, 14,545 USD, and 20,188 USD, respectively. There was a statistically significant difference in the cost between patients with comorbidities and patients without comorbidities (P-value 0.008). Across patients with and without comorbidities, there was a significant difference in the cost of the bed, laboratory work, treatment medications, and non-pharmaceutical equipment. The cost of treating COVID-19 patients is considered a burden for many countries. More studies from different private and governmental hospitals are needed to compare different study findings for better preparation for the current COVID-19 as well as future pandemics.

Health economic burden of COVID-19 in Saudi Arabia

Background

The coronavirus disease 2019 (COVID-19) pandemic has added a massive economic burden on health care systems worldwide. Saudi Arabia is one of the numerous countries that have been economically affected by this pandemic. The objective of this study was to provide real-world data on the health economic burden of COVID-19 on the Saudi health sector and assess the direct medical costs associated with the management of COVID-19.

Methods

A retrospective cohort study was conducted based on data collected from patients hospitalized with COVID-19 across 10 institutions in eight different regions in Saudi Arabia. The study calculated the direct medical costs of all cases during the study period by using SAS statistical analysis software. These costs included costs directly related to medical services, such as the health care treatment, hospital stays, laboratory investigations, treatment, outcome, and other related care.

Results

A total of 5,286 adult patients admitted with COVID-19 during the study period were included in the study. The average age of the patients was 54 years, and the majority were male (79%). Among the COVID-19 patients hospitalized in a general ward, the median hospital length of stay was 5.5 days (mean: 9.18 days), while the ICU stay was 4.2 days (mean: 7.94 days). The total medical costs for general ward and ICU patients were US$ 38,895 and US$ 24,207,296.9, respectively. The total laboratory investigations ranked as the highest-cost services US$ 588,975 followed by treatment US$ 3,886,509.8. Overall, the total cost of all medical services for patients hospitalized with COVID-19 was US$ 51,572,393.4.

Conclusion

This national study found that COVID-19 was not only a serious concern for patients but also a serious economic burden on the health care system in Saudi Arabia.

Costs for a hospital stay: another lesson learned from the COVID-19 pandemic

Background and aim: After two years of pandemic, planning and budgeting for use of healthcare resources and services is very important. Inpatient COVID-19 hospitalizations costs, regardless of ICD-10 procedure codes, in a Covid-19 support military hospital were analyzed. Methods: The national protocol for the treatment of Covid-19 infection was applied. The costs for laboratory tests, drugs, protection equipment and radiological investigations (imaging techniques such as computed-tomography or radiography), hospitalization days and food were assessed. Results: In our hospital, from August 2020 through June 2021, 241 patients were hospitalized with COVID-19: mean age 59.92±7.8 years, 46% men, 26% military personnel, 11.57±3 days of hospitalization; two third of patients had moderate and severe forms of COVID-19. The main manifestations were: 69% respiratory (18% with severe pneumonia), 3.3% cardiac (2.9% with pulmonary embolism, diagnosed by computed tomography angiography), 28% digestive and 33% psychiatric (most commonly anxiety). The average estimated costs were about 3000€/patient, without significant differences based on disease severity. Equipment costs were 2 times higher than for drugs and 3 times than for laboratory tests. Conclusions: In a Covid-19 support military hospital that cared for patients with predominantly moderate forms of COVID-19, the costs for equipment were much higher than those for treatment. New criteria for hospitalization of these forms of COVID-19 deserve to be analyzed in order to avoid useless costs

Financial Burden and Catastrophic Health Expenditure Associated with COVID-19 Hospitalizations in Kerala, South India

Introduction

Catastrophic health expenditure during COVID-19 hospitalization has altered the economic picture of households, especially in low resource settings with high rates of COVID-19 infection. This study aimed to estimate the out of pocket (OOP) expenditure and the proportion of households that incurred catastrophic health expenditure due to COVID-19 hospitalization in Kerala, South India.

Materials and Methods

A cross-sectional study was conducted among a representative sample of 155 COVID-19 hospitalized patients in Kottayam district over four months, using a pretested interview schedule. The direct medical and non-medical costs incurred by the study participants during hospitalization and the total monthly household expenditure were obtained from the respective COVID-19 affected households. Catastrophic health expenditure was defined as direct medical expenditure exceeding 40% of the household's capacity to pay.

Results

From the study, median and mean OOP expenditure was obtained as USD 93.57 and USD 502.60 respectively. The study revealed that 49.7% of households had catastrophic health expenditure, with 32.9% having incurred distress financing. Multivariate analysis revealed being below poverty line, hospitalization in private healthcare facility, and presence of co-morbid conditions as significant determinants of catastrophic health expenditure.

Conclusion

High levels of catastrophic health expenditure and distress financing revealed by the study have unveiled major unaddressed challenges in the road to universal health coverage.

Economic Burden of COVID-19: A Systematic Review

Objective

To review and qualitatively synthesize the evidence related to the economic burden of COVID-19, including healthcare resource utilization and costs.

Methods

A systematic review of studies that assessed the economic burden [eg, direct costs, productivity, macroeconomic impact due to non-pharmaceutical interventions (NPIs) and equity] of COVID-19 was conducted by searches in EMBASE, MEDLINE, MEDLINE-IN-PROCESS, and The Cochrane Library, as well as manual searches of unpublished research for the period between January 2020 to February 2021. Single reviewer data extraction was confirmed independently by a second reviewer.

Results

The screening process resulted in a total of 27 studies: 25 individual publications, and 2 systematic literature reviews, of narrower scopes, that fulfilled the inclusion criteria. The patients diagnosed with more severe COVID-19 were associated with higher costs. The main drivers for higher costs were consistent across countries and included ICU admission, in-hospital resource use such as mechanical ventilation, which lead to increase costs of $2082.65 ± 345.04 to $2990.76 ± 545.98. The most frequently reported indirect costs were due to productivity losses. On average, older COVID-19 patients incurred higher costs when compared to younger age groups. An estimation of a 20% COVID-19 infection rate based on a Monte Carlo simulation in the United States led to a total direct medical cost of $163.4 billion over the course of the pandemic.

Conclusion

The COVID-19 pandemic has generated a considerable economic burden on patients and the general population. Preventative measures such as NPIs only have partial success in lowering the economic costs of the pandemic. Implementing additional preventative measures such as large-scale vaccination is vital in reducing direct and indirect medical costs, decreased productivity, and GDP losses.

The economic impact of optimizing a COVID-19 management protocol in pre-existing cardiovascular disease patients

This study answers the question of whether the health care costs of managing COVID-19 in preexisting cardiovascular diseases (CVD) patients increased or decreased as a consequence of evidence-based efforts to optimize the initial COVID-19 management protocol in a CVD group of patients. A retrospective cohort study was conducted in preexisting CVD patients with COVID-19 in Hamad Medical Corporation, Qatar. From the health care perspective, only direct medical costs were considered, adjusted to their 2021 values. The impact of revising the protocol was a reduction in the overall costs in non-critically ill patients from QAR15,447 (USD 4243) to QAR4337 (USD 1191) per patient, with an economic benefit of QAR11,110 (USD 3051). In the critically ill patients, however, the cost increased from QAR202,094 (USD 55,505) to QAR292,856 (USD 80,433) per patient, with added cost of QAR90,762 (USD 24,928). Overall, regardless of critical care status, the optimization of the initial COVID-19 protocols in patients with preexisting CVD did not reduce overall health care costs, but increased it by QAR80,529 (USD 22,117) per patient.

Economic evaluations of inactivated COVID-19 vaccines in six Western Pacific and South East Asian countries and regions: A modeling study

OBJECTIVE

The present study aimed to document the economic profiles of inactivated COVID-19 vaccines in Hong Kong SAR, Indonesia, mainland China, Philippines, Singapore, and Thailand, the evidence on which is currently absent.

METHODS

Decision tree models were developed to assess the cost-effectiveness of two doses of inactivated COVID-19 vaccines at a population vaccination rate of 50% in the base case, which was an estimate of feasible vaccination coverage according to previous studies. Epidemiological, mortality, cost, and health state utility information were sourced from the literature. Vaccine efficacy against COVID-19 cases by severity were estimated using meta-analyses of publicly accessible phase 3 trial results of inactivated vaccines. The health outcomes were quantified as quality-adjusted life years (QALYs) and compared across the vaccination and no vaccination strategies. In scenario analyses, incidence and vaccination rates were changed semi-continuously over spectrums, the results of which were presented as contour lines informing the efficiency frontiers of vaccination strategies. One-way and probabilistic sensitivity analyses were also conducted.

RESULTS

The vaccination strategy was dominant in all jurisdictions in the base case by producing 105.18, 98.15, 99.70, 60.48, 112.00, and 103.47 QALYs while saving US$40.26 million, US$5.26 million, US$7.60 million, US$5.91 million, US$21.33 million, and US$7.18 million in Hong Kong SAR, Indonesia, mainland China, Philippines, Singapore, and Thailand per every 100,000 vaccinated individuals, respectively. Results were robust in alternative model specifications.

CONCLUSIONS

Inactivated COVID-19 vaccines may be cost-saving options in Hong Kong SAR, Indonesia, mainland China, Philippines, Singapore, and Thailand. Mass vaccination programs using inactivated COVID-19 vaccines should be considered in these jurisdictions.

Hospitalization costs for COVID-19 in Ethiopia: Empirical data and analysis from Addis Ababa's largest dedicated treatment center

Background

The COVID-19 pandemic has caused profound health, economic, and social disruptions globally. We assessed the full costs of hospitalization for COVID-19 disease at Ekka Kotebe COVID-19 treatment center in Addis Ababa, the largest hospital dedicated to COVID-19 patient care in Ethiopia.

Methods and findings

We retrospectively collected and analysed clinical and cost data on patients admitted to Ekka Kotebe with laboratory-confirmed COVID-19 infections. Cost data included personnel time and salaries, drugs, medical supplies and equipment, facility utilities, and capital costs. Facility medical records were reviewed to assess the average duration of stay by disease severity (either moderate, severe, or critical). The data collected covered the time-period March-November 2020. We then estimated the cost per treated COVID-19 episode, stratified by disease severity, from the perspective of the provider. Over the study period there were 2,543 COVID-19 cases treated at Ekka Kotebe, of which, 235 were critical, 515 were severe, and 1,841 were moderate. The mean patient duration of stay varied from 9.2 days (95% CI: 7.6–10.9; for moderate cases) to 19.2 days (17.9–20.6; for critical cases). The mean cost per treated episode was USD 1,473 (95% CI: 1,197–1,750), but cost varied by disease severity: the mean cost for moderate, severe, and critical cases were USD 1,266 (998–1,534), USD 1,545 (1,413–1,677), and USD 2,637 (1,788–3,486), respectively.

Conclusions

Clinical management and treatment of COVID-19 patients poses an enormous economic burden to the Ethiopian health system. Such estimates of COVID-19 treatment costs inform financial implications for resource-constrained health systems and reinforce the urgency of implementing effective infection prevention and control policies, including the rapid rollout of COVID-19 vaccines, in low-income countries like Ethiopia.

Direct Medical Cost Analysis of Indian COVID-19 Patients Requiring Critical Care Admission

Introduction

Intensive care unit (ICU) admission is required for approximately 25% of patients affected with coronavirus disease-19 (COVID-19) and imposes a high economic burden on patients in resource-limited settings.

Method

We conducted a retrospective direct medical care cost analysis of COVID-19 patients requiring ICU admission after obtaining the Institutional Ethics Committee approval. Data were obtained from the records of patients admitted to the COVID-19 ICU of a tertiary care trust teaching hospital from June 2020 to December 2020. Direct costs were analyzed and correlated with various demographic variables and clinical outcomes.

Results

A total of 176 patients were included (males-76%). The median direct medical cost for a median stay of 13 days was INR 202248.5 ($ 2742.91). Hospital drugs and disposables accounted for 20% of the total cost followed by bed charges (19%), equipment charges (17%), biosafety protective gear (15.5%), pathological and radiological tests (15%), clinical management (7.6%), and biomedical waste management (1.6%). Government schemes accounted for 79% of medical claims followed by directly paying patients (12.5%) and private insurance (8.5%). The cost was significantly higher in patients with diabetes mellitus and sepsis and in those requiring mechanical ventilation (MV) (p <0.05). Shorter lead time to hospital admission and lesser length of hospital stay were associated with significant lower direct cost.

Conclusion

Direct medical care cost is substantial for COVID-19 patients requiring ICU admission. This cost is significantly associated with increased ICU and hospital stay, longer lead time to admission, diabetes mellitus, sepsis, and those who need high-flow nasal cannula (HFNC), noninvasive ventilation (NIV), and MV.

How to cite this article

Reddy KN, Shah J, Iyer S, Chowdhury M, Yerrapalem N, Pasalkar N, et al. Direct Medical Cost Analysis of Indian COVID-19 Patients Requiring Critical Care Admission. Indian J Crit Care Med 2021;25(10):1120-1125.

Stark choices: exploring health sector costs of policy responses to COVID-19 in low-income and middle-income countries

OBJECTIVES

COVID-19 has altered health sector capacity in low-income and middle-income countries (LMICs). Cost data to inform evidence-based priority setting are urgently needed. Consequently, in this paper, we calculate the full economic health sector costs of COVID-19 clinical management in 79 LMICs under different epidemiological scenarios.

METHODS

We used country-specific epidemiological projections from a dynamic transmission model to determine number of cases, hospitalisations and deaths over 1 year under four mitigation scenarios. We defined the health sector response for three base LMICs through guidelines and expert opinion. We calculated costs through local resource use and price data and extrapolated costs across 79 LMICs. Lastly, we compared cost estimates against gross domestic product (GDP) and total annual health expenditure in 76 LMICs.

RESULTS

COVID-19 clinical management costs vary greatly by country, ranging between <0.1%-12% of GDP and 0.4%-223% of total annual health expenditure (excluding out-of-pocket payments). Without mitigation policies, COVID-19 clinical management costs per capita range from US$43.39 to US$75.57; in 22 of 76 LMICs, these costs would surpass total annual health expenditure. In a scenario of stringent social distancing, costs per capita fall to US$1.10-US$1.32.

CONCLUSIONS

We present the first dataset of COVID-19 clinical management costs across LMICs. These costs can be used to inform decision-making on priority setting. Our results show that COVID-19 clinical management costs in LMICs are substantial, even in scenarios of moderate social distancing. Low-income countries are particularly vulnerable and some will struggle to cope with almost any epidemiological scenario. The choices facing LMICs are likely to remain stark and emergency financial support will be needed.

Direct and indirect cost of COVID-19 patients in Iran

OBJECTIVES

This study aimed to estimate the cost of COVID-19 patients and some affecting factors in Iran.

METHODS

This was a prevalence-based cost-of-illness study based on a bottom-up costing approach which was conducted from March 2020 to July 2020. Data were extracted from the hospital's Hospital Information System (HIS) and Cost-of-illness (COI) assessment checklist. Indirect costs were assessed based on the Human Capital Approach. Data were analyzed using SPSS software version 22 and Microsoft EXCEL 2016.

RESULTS

A total of 745 Covid-19 patients were included in the analysis. The mean total cost was estimated at 8813.15 (PPP, Current International $), accounting for 60% of GDP per capita. The mean direct and indirect cost was 3362.49 (PPP, Current International $) (38% of the total cost and 23% of the GDP per capita), and 5450.66 (PPP, Current International $) (62% of the total cost and 37% of the GDP per capita), respectively. The mean hospitalization cost was higher among patients who died and those who were covered by supplemental insurance. Also, the costs of disease experienced a dramatic rise with increasing age. For different scenarios in terms of outbreak rate, hospitalization rate and mortality rate, the total estimated cost of illness for Covid-19 ranged from 6263 million (PPP, Current International $) to 63,474 million (PPP, Current International $).

CONCLUSIONS

Covid-19 imposes a substantial financial burden on people, health care systems, insurance organizations and the country's economy as a whole. Since the economic burden of this disease increases dramatically by increasing disease outbreak, more attention should be paid to the development and implementation of appropriate preventive programs.

Hospitalization budget impact during the COVID-19 pandemic in Spain

OBJECTIVES

The aim was to determine the direct impact of the COVID-19 pandemic on Spain's health budget.

METHODS

Budget impact analyses based on retrospective data from patients with suspected severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) admitted to a Spanish hospital between February 26 and May 21, 2020. Direct medical costs from the perspective of the hospital were calculated. We analyzed diagnostic tests, drugs, medical and nursing care, and isolation ward and ICU stays for three cohorts: patients seen in the emergency room only, hospitalized patients who tested positive for SARS-CoV-2, and patients who tested negative.

RESULTS

The impact on the hospital's budget for the 3 months was calculated at €15,633,180, 97.4% of which was related to health care and hospitalization. ICU stays accounted for 5.3% of the total costs. The mean cost per patient was €10,744. The main costs were staffing costs (10,131 to 11,357 €/patient for physicians and 10,274 to 11,215 €/patient for nurses). Scenario analysis showed that the range of hospital expenditure was between €14,693,256 and €16,524,924. The median impact of the pandemic on the Spanish health budget in the sensitivity analysis using bootstrapped individual data was €9357 million (interquartile range [IQR], 9071 to 9689) for the conservative scenario (113,588 hospital admissions and 11,664 ICU admissions) and €10,385 million (IQR, 110,030 to 10,758) for the worst-case scenario (including suspected cases).

CONCLUSION

The impact of COVID-19 on the Spanish public health budget (12.3% of total public health expenditure) is greater than multiple sclerosis, cancer and diabetes cost.

Economic evaluation of remdesivir for the treatment of severe COVID-19 patients in China under different scenarios

AIMS

The present study aimed to evaluate the cost-effectiveness of the 5-day remdesivir regimen compared with standard of care among severe COVID-19 patients in China, the evidence on which is essential to inform the necessity of securing access to remdesivir.

METHODS

A dynamic transmission model that extended the susceptible-exposed-infected-recovered framework by incorporating asymptomatic, presymptomatic and waiting-to-be-diagnosed patients was constructed to conduct the cost-effectiveness analysis from the healthcare system perspective. To estimate epidemic parameters, the model was first calibrated to the observed epidemic curve in Wuhan from 23 January to 19 March 2020. Following the calibration, the infected compartment was replaced by 3 severity-defined health states to reflect differential costs and quality of life associated with disease gravity. Costs and quality-adjusted life year (QALY) outcomes of 9 million simulated people were accrued across time to evaluate the incremental cost-effectiveness ratio of remdesivir. As robustness checks, an alternative modelling technique using decision tree, additional epidemic scenarios representing different epidemic intensities, and 1-way parameter variations were also analysed.

RESULTS

Remdesivir treatment cost CN¥97.93 million more than standard of care. Also, the net QALY gain from 5-day remdesivir treatment was 6947 QALYs. As such, the incremental cost-effectiveness ratio was CN¥14 098/QALY, substantially lower than the gross domestic product per capita threshold. The peak daily number of severe cases was 19% lower in the remdesivir treatment strategy. Overall, results were robust in alternative scenarios and sensitivity analyses.

CONCLUSION

Given the cost-effectiveness profile, access to remdesivir for severe COVID-19 patients in China should be considered.

The cost of clinical management of SARS-COV-2 (COVID-19) infection by level of disease severity in Ghana: a protocol-based cost of illness analysis

Background

As the global strategies to fight the SARS-COV-2 infection (COVID-19) evolved, response strategies impacted the magnitude and distribution of health-related expenditures. Although the economic consequence of the COVID-19 pandemic has been dire, and its true scale is yet to be ascertained, one key component of the response is the management of infected persons which its cost has not been adequately examined, especially in Africa.

Methods

To fill gaps in context-specific cost of treating COVID-19 patients, we adopted a health system’s perspective and a bottom-up, point of care resource use data collection approach to estimate the cost of clinical management of COVID-19 infection in Ghana. The analysis was based on the national protocol for management of COVID-19 patients at the time, whether in public or private settings. No patients were enrolled into the study as it was entirely a protocol-based cost of illness analysis.

Result

We found that resource use and average cost of treatment per COVID-19 case varied significantly by disease severity level and treatment setting. The average cost of treating COVID-19 patient in Ghana was estimated to be US$11,925 (GH¢68,929) from the perspective of the health system; ranging from US$282 (GH¢1629) for patients with mild/asymptomatic disease condition managed at home to about US$23,382 (GH¢135,149) for critically ill patients requiring sophisticated and specialised care in hospitals. The cost of treatment increased by some 20 folds once a patient moved from home management to the treatment centre. Overheard costs accounted for 63–71% of institutionalised care compared to only 6% for home-based care. The main cost drivers in overhead category in the institutionalised care were personal protective equipment (PPEs) and transportation, whilst investigations (COVID-19 testing) and staff time for follow-up were the main cost drivers for home-based care.

Conclusion

Cost savings could be made by early detection and effective treatment of COVID-19 cases, preferably at home, before any chance of deterioration to the next worst form of the disease state, thereby freeing up more resources for other aspects of the fight against the pandemic. Policy makers in Ghana should thus make it a top priority to intensify the early detection and case management of COVID-19 infections.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-07101-z.

COVID-19 healthcare cost and length of hospital stay in Turkey: retrospective analysis from the first peak of the pandemic

BACKGROUND

During the COVID-19 pandemic, health care systems are under extreme pressure. This study analyzed health care resource use (HCRU) and costs in patients admitted to the hospital for COVID-19 and aimed to estimate the one-year direct medical cost of the disease in Turkey.

METHODS

This retrospective cohort study was conducted between March and July 2020 in a tertiary hospital (n = 1056) in Istanbul. Patient demographics, clinical and treatment characteristics at admission, comorbidities, disease severity, and costs from a payer perspective were evaluated using the microcosting method. The results include LOS, hospital costs, and univariate and generalized linear models to investigate influencing factors. The data were extrapolated to provide a country-level estimate.

RESULTS

The mean length of stay was 9.1 days (SD 6.9). The mean length of stay was 8.0 days (4.7) for patients hospitalized in wards versus 14.8 days (SD 12.0) for patients hospitalized in the ICU. In univariate analysis, several factors, including O₂ therapy (+ 3.7 days), high CRP > 41.8 mg/L (+ 3.8 days), and elevated ferritin (+ 3.5), were found to be associated with a longer LOS (p < 0.05). The direct annual medical cost of COVID-19 was estimated at PPP$ 2.1 billion. The COVID-19 pandemic resulted in a direct medical burden that corresponds to 2.0% of the government health expenditures and 0.8 per thousand of Turkey's gross domestic product (GDP).

CONCLUSIONS

Estimating the impact of this pandemic in terms of HCRU and costs to the health care system can help design strategies to manage the pandemic.

COVID-19-related hospital cost-outcome analysis: The impact of clinical and demographic factors

INTRODUCTION

Although patients' clinical conditions have been shown to be associated with coronavirus disease (COVID-19) severity and outcome, their impact on hospital costs are not known. This economic evaluation of COVID-19 admissions aimed to assess direct and fixed hospital costs and describe their particularities in different clinical and demographic conditions and outcomes in the largest public hospital in Latin America, located in São Paulo, Brazil, where a whole institute was exclusively dedicated to COVID-19 patients in response to the pandemic.

METHODS

This is a partial economic evaluation performed from the hospital´s perspective and is a prospective, observational cohort study to assess hospitalization costs of suspected and confirmed COVID-19 patients admitted between March 30 and June 30, 2020, to Hospital das Clínicas of the University of São Paulo Medical School (HCFMUSP) and followed until discharge, death, or external transfer. Micro- and macro-costing methodologies were used to describe and analyze the total cost associated with each patient's underlying medical conditions, itinerary and outcomes as well as the cost components of different hospital sectors.

RESULTS

The average cost of the 3254 admissions (51.7% of which involved intensive care unit stays) was US$12,637.42. The overhead cost was its main component. Sex, age and underlying hypertension (US$14,746.77), diabetes (US$15,002.12), obesity (US$18,941.55), chronic renal failure (US$15,377.84), and rheumatic (US$17,764.61), hematologic (US$15,908.25) and neurologic (US$15,257.95) diseases were associated with higher costs. Age strata >69 years, reverse transcription polymerase chain reaction (RT-PCR)-confirmed COVID-19, comorbidities, use of mechanical ventilation or dialysis, surgery and outcomes remained associated with higher costs.

CONCLUSION

Knowledge of COVID-19 hospital costs can aid in the development of a comprehensive approach for decision-making and planning for future risk management.

Characteristics in Pediatric Patients with Coronavirus Disease 2019 in Korea

BACKGROUND

Based on the reports of low prevalence and severity of pediatric severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, the Korean government has released new SARS-CoV-2 infection response and treatment guidelines for children under the age of 12 years. The government has further directed school reopening under strict preventive measures. However, there is still considerable concern on the impact of school reopening on community transmission of Coronavirus disease 2019 (COVID-19). In the present study, we aimed to evaluate the appropriateness of these directives and the severity of SARS-CoV-2 infections in children as compared to adults using sufficient national sample data.

METHODS

In the present study, we evaluated the severity of SARS-CoV-2 infection in pediatric patients as compared to adults by analyzing the length of hospital stays (LOS), medical expenses, and hospital and intensive care unit (ICU) admission rates. A multivariate linear regression analysis was carried out to examine the effects of COVID-19 patients that the characteristics on the LOS and medical expenses, and multivariate logistic regression analysis were performed to identify COVID-19 characteristics that affect hospital and ICU admission rates and to prove the low SARS-CoV-2 infection severity in pediatric patients.

RESULTS

The hospitalization period for children aged 0-9 was 37% shorter and that of patients aged 10-19 years was 31% shorter than those of older age groups (P < 0.001). The analysis of the medical expenses by age showed that on average, medical expenses for children were approximately 4,900 USD lower for children than for patients over 80 years of age. The linear regression analysis also showed that patients who were 0-9 years old spent 87% and those aged 10-19 118% less on medical expenses than those aged 70 and over, even after the correction of other variables (P < 0.001). The probability of hospitalization was the lowest at 10-19 years old (odds ratio [OR], 0.05; 95% confidence interval [CI], 0.03-0.09), and their ICU admission rate was also the lowest at 0.14 (OR, 0.14; 95% CI, 0.08-0.24). On the other hand, the likelihood of hospitalization and ICU admission was the highest in children aged 0-9 years, and among patients under the age of 50 years in general.

CONCLUSION

This study demonstrated the low severity of SARS-CoV-2 infection in younger patients (0-19 years) by analyzing the LOS, medical expenses, hospital, and intensive care unit admission rates as outcome variables. As the possibility to develop severe infection of coronavirus at the age of 10-19 was the lowest, a mitigation policy is also required for middle and high school students. In addition, children with underlying diseases need to be protected from high-risk infection environments.

From impossible to possible: the lessons from the control of recent COVID-19 outbreaks in China

The COVID-19 pandemic has catastrophically impacted the world. Before the success in vaccination, this virus shows no sign of stop spreading. Nearly all the countries have implemented stringent approaches to slow down the transmission of the virus, but the virus still caused over 2 million deaths and the number is increasing. Therefore, preventing the virus spreading is still necessary to protect most people, especially the ones with pre-conditions. Mainland China has successfully eradicated the COVID-19 virus infection in Wuhan in 2020. After that, several small-scale outbreaks occurred in many cities in China, but none of these COVID-19 virus infections caused the widespread. In this review, we would like to give a detailed presentation of the approaches that were implemented by the China government to suppress the virus spreading by considering the unique characteristics of this virus and the paths of the virus transmission. Both the pros and cons of these strategies will also be analyzed. The experiences and lessons learned during the virus-fighting in China, expectedly, will be a useful source of reference for other regions in overcoming the threat caused by the COVID-19 virus.

Does COVID-19 affect metro use in Taipei?

This paper provides the first evidence of the causal effect of COVID-19 on metro use using real-time data from the Taipei Metro System in Taiwan. In contrast to other cities or countries, Taiwan did not enforce strict social lockdowns or mandatory stay-at-home orders to combat COVID-19. The major prevention strategies to the pandemic in Taiwan include promoting social distancing, mandating the wearing of face masks in public areas, and requiring all international arrivals to quarantine for 14 days. Using administrative data on confirmed cases of COVID-19 and ridership from metro stations with the difference-in-differences model, we find that an additional new confirmed case of COVID-19 reduces metro use by 1.43% after controlling for local socio-demographic variables associated with ridership and the number of international arrivals to Taiwan. This result implies that the reduction in metro trips is attributable to decreases in residents' use of public transportation due to perceived health risks. Furthermore, the effect of COVID-19 on metro use disproportionally impacts stations with different characteristics. The effect is more pronounced for metro stations connected to night markets, shopping centers, or colleges. Although decreases in metro ridership lower the revenue of the Taipei Metro System, our results indicate a tradeoff between increased financial burdens of public transportation systems and reducing medical expenses associated with COVID-19.

How the COVID-19 pandemic changed treatment of severe aortic stenosis: a single cardiac center experience

Background

Currently, two effective therapeutic options for severe aortic stenosis (AS) are available, one catheter-based [transcatheter aortic valve implantation (TAVI)], the other open surgical approach [surgical aortic valve replacement (SAVR)]. The COVID-19 pandemic has limited the availability of medical procedures. The purpose of this cross-sectional study was to assess if this pandemic had any impact on the treatment strategy of severe AS in a single cardiac center.

Methods

This study involved AS patients treated in 3-month periods (February through April) over 3 consecutive years 2018, 2019 [defined as COV(-) group] and 2020 [COV(+)]. We assessed if there were any differences regarding patients' clinical profile, applied therapeutic method, procedure complexity and early clinical outcomes.

Results

In the years 2018 through 2019, approximately 50% of AS patients were treated classically (SAVR) while in 2020 this rate dropped to 34%. The preoperative clinical characteristic of TAVI subjects was comparable irrespective of the year. Regarding SAVR, more patients in COV(+) underwent urgent and more complex procedures. More of them were found in NYHA class III or IV, and had lower left ventricular ejection fraction (LVEF) (51.9%±14.4% vs. 58.3%±8.1%; P=0.021) than in COV(-) individuals. During the pandemic, a change in applied therapeutic methods and differences in patients' clinical profile did not have an unfavorable impact on in-hospital mortality (2.0% before vs. 3.6% during pandemic) and morbidity. Of note, intubation time and in-hospital stay were significantly shorter (P<0.05) in 2020 (4.2 hours and 7.5 days) than in the previous years (7.5 hours and 9.0 days, respectively).

Conclusions

The coronavirus pandemic has changed substantially the management of severe AS. The shift into less invasive treatment method of AS patients resulted in shortening of in-hospital stay without compromise of short-term outcomes.

Assessing the Impact of Out-of-Pocket Expenditures for Prevention of COVID-19 Infection on Households: Evidence From Malaysia

COVID-19 infection resulted in significant economic implications to patients as well as a considerable financial burden to the general population for preventive measures. A descriptive study was conducted among staff at one of the public universities in Malaysia to estimate the monthly out-of-pocket expenditures for preventive measures used for COVID-19 infection. The study tool includes questions on household out-of-pocket expenditure and the measurements of the impact of the expenditure on household income. It was found that the average cumulative monthly expenditures related to the preventive measures were US$ 45.90 (Ringgit Malaysia 187.77), which was 4.3% of the household income. The highest expenditures were for traditional and complementary medicine followed by nutraceutical/supplements and disposable facemask. 8% of the households in this study incurred more than ten per cents of their monthly household income for expenditures related to COVID-19 preventive measures. Several households are experiencing substantial financial implications for preventive measures related to COVID-19 infection. This study highlights the out-of-pocket expenditures incurred for preventive measures were substantial for certain households. Effective initiatives from the government on providing subsidized protective personal equipment and a cost-sharing approach could help to alleviate the household financial burden.

Economic evaluation of programs against COVID-19: A systematic review

BACKGROUND

The COVID-19 pandemic has become a public health emergency and raised global concerns in about 213 countries without vaccines and with limited medical capacity to treat the disease. The COVID-19 has prompted an urgent search for effective interventions, and there is little information about the money value of treatments. The present study aimed to summarize economic evaluation evidence of preventing strategies, programs, and treatments of COVID-19.

MATERIAL AND METHODS

We searched Medline/PubMed, Cochrane Library, Web of Science Core Collection, Embase, Scopus, Google Scholar, and specialized databases of economic evaluation from December 2019 to July 2020 to identify relevant literature to economic evaluation of programs against COVID-19. Two researchers screened titles and abstracts, extracted data from full-text articles, and did their quality assessment by the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. Then, quality synthesis of results was done.

RESULTS

Twenty-six studies of economic evaluations met our inclusion criteria. The CHEERS scores for most studies (n = 9) were 85 or higher (excellent quality). Eight studies scored 70 to 85 (good quality), eight studies scored 55 to 70 (average quality), and one study < %55 (poor quality). The decision-analytic modeling was applied to twenty-three studies (88%) to evaluate their services. Most studies utilized the SIR model for outcomes. In studies with long-time horizons, social distancing was more cost-effective than quarantine, non-intervention, and herd immunity. Personal protective equipment was more cost-effective in the short-term than non-intervention. Screening tests were cost-effective in all studies.

CONCLUSION

The results suggested screening tests and social distancing to be cost-effective alternatives in preventing and controlling COVID-19 on a long-time horizon. However, evidence is still insufficient and too heterogeneous to allow any definite conclusions regarding costs of interventions. Further research as are required in the future.

Health-Related Quality of Life and Health Service Use among Multimorbid Middle-Aged and Older-Aged Adults in China: A Cross-Sectional Study in Shandong Province

(1) Background: The management of multiple chronic diseases challenges China's health system, but current research has neglected how multimorbidity is associated with poor health-related quality of life (HRQOL) and high health service demands by middle-aged and older adults. (2) Methods: A cross-sectional study was conducted in Shandong province, China in 2018 across three age groups: Middle-aged (45 to 59 years), young-old (60 to 74 years), and old-old (75 or above years). The information about socio-economic, health-related behaviors, HRQOL, and health service utilization was collected via face-to-face structured questionnaires. The EQ-5D-3L instrument, comprising a health description system and a visual analog scale (VAS), was used to measure participants' HRQOL, and χ² tests and the one-way ANOVA test were used to analyze differences in socio-demographic factors and HRQOL among the different age groups. Logistic regression models estimated the associations between lifestyle factors, health service utilization, and multimorbidity across age groups. (3) Results: There were 17,867 adults aged 45 or above in our sample, with 9259 (51.82%) female and 65.60% living in rural areas. Compared with the middle-aged adults, the young-old and old-old were more likely to be single and to have a lower level of education and income, with the old-old having lower levels than the young-old (P < 0.001). We found that 2465 (13.80%) suffered multimorbidities of whom 75.21% were older persons (aged 60 or above). As age increased, both the mean values of EQ-5D utility and the VAS scale decreased, displaying an inverse trend to the increase in the number of chronic diseases (P < 0.05). Ex-smokers and physical check-ups for middle or young-old respondents and overweight/obesity for all participants (P < 0.05) were positively correlated with multimorbidity. Drinking within the past month for all participants (P < 0.001), and daily tooth-brushing for middle (P < 0.05) and young-old participants (P < 0.001), were negatively associated with multimorbidity. Multimorbidities increased service utilization including outpatient and inpatient visits and taking self-medicine; and the probability of health utilization was the lowest for the old-old multimorbid patients (P < 0.001). (4) Conclusions: The prevalence and decline in HRQOL of multimorbid middle-aged and older-aged people were severe in Shandong province. Old patients also faced limited access to health services. We recommend early prevention and intervention to address the prevalence of middle-aged and old-aged multimorbidity. Further, the government should set-up special treatment channels for multiple chronic disease sufferers, improve medical insurance policies for the older-aged groups, and set-up multiple chronic disease insurance to effectively alleviate the costs of medical utilization caused by economic pressure for outpatients and inpatients with chronic diseases.