Background: This study aimed to assess the impact of coronavirus disease 2019 (COVID-19) on hospital service utilization and revenue in Chinese tertiary hospitals and develop an optimal pandemic control strategy (OPCS) for the peak period of the Omicron wave.
Methods: Retrospective data from three Chinese tertiary hospitals (provincial, city, and county level) were analyzed for three phases: pre-outbreak (Jan-Apr 2019), outbreak (Jan-Apr 2020), and post-outbreak (Jan-Apr 2021). OPCS was developed under the guidance of the China government pandemic control policy during post-break phase of COVID-19. A decision-tree model was constructed to compare OPCS to strict pandemic control strategy during outbreak phase for the hospital service utilization and hospital revenue in a provincial tertiary hospital during the Omicron wave.
Results: Outpatient, emergency room (ER) visits, hospitalizations, and intensive care admissions dropped by 33.8-53.4% during the outbreak, with the provincial hospital being the most affected. Hospital revenue also declined, especially for the provincial hospital (40.1%). Post-outbreak, most services recovered, but ER visits remained lower (11.6% decrease for provincial hospital, 46.5% for county hospital). Total income and expenditure decreased, with the provincial hospital experiencing the most significant revenue reduction (45.7%). OPCS showed greater utilization of medical services (31.6 times more outpatient visits; 1.7 times more inpatient days; 3.4% more surgery volume) and higher revenue (¥220.8 million more) compared to the strict pandemic control strategy.
Conclusions: COVID-19 measures were associated with less hospital service utilization and revenue in Chinese tertiary hospitals. The developed OPCS in Chinese tertiary hospitals, focusing on isolating infected inpatients but not shutting down the hospital facilities exposed to virus, could be effective in optimizing hospital service utilization and hospital revenue during the Omicron wave.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11267753 | PMC |
| http://dx.doi.org/10.1186/s12913-024-11289-1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Lyophilization of ASFV vaccine candidate ASFV-G-ΔI177L offers long term stability.
Sci Rep
December 2024
Plum Island Animal Disease Center, Agricultural Research Service, USDA, Greenport, NY, 11944, USA.
For over a century African swine fever (ASF) has been causing outbreaks leading to devastating losses for the swine industry. The current pandemic of ASF has shown no signs of stopping and continues to spread causing outbreaks in additional countries. Currently control relies mostly on culling infected farms, and strict biosecurity procedures.
View Article and Find Full Text PDFExploring optimal control strategies in a nonlinear fractional bi-susceptible model for Covid-19 dynamics using Atangana-Baleanu derivative.
Sci Rep
December 2024
Department of Mathematics, GC University, Lahore, Pakistan.
In this article, a nonlinear fractional bi-susceptible [Formula: see text] model is developed to mathematically study the deadly Coronavirus disease (Covid-19), employing the Atangana-Baleanu derivative in Caputo sense (ABC). A more profound comprehension of the system's intricate dynamics using fractional-order derivative is explored as the primary focus of constructing this model. The fundamental properties such as positivity and boundedness, of an epidemic model have been proven, ensuring that the model accurately reflects the realistic behavior of disease spread within a population.
View Article and Find Full Text PDFChildhood and Adolescent Overweight/Obesity Prevalence Trends in Jiangsu, China, 2017-2021: An Age-Period-Cohort Analysis.
Public Health Nurs
December 2024
Department of Child and Adolescent Health Promotion, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Objectives: To investigate temporal trends in childhood and adolescent overweight/obesity in Jiangsu Province, China, evaluating the effects of age, period, and birth cohort.
Design: Cross-sectional study.
Sample: Participants were 210,168 students aged 6-17 years from the five waves of the consecutive cross-sectional Jiangsu provincial surveillance project in 2017-2021.
SARS-CoV-2 antibodies in breast milk of women given one & two doses of COVID-19 vaccine.
Indian J Med Res
November 2024
Department of Obstetrics & Gynaecology, King George's Medical University, Lucknow, Uttar Pradesh, India.
Background & objectives The COVID-19 pandemic underscores the significance of vaccination in mitigating disease spread, with Covishield and Covaxin serving as pivotal vaccines in India. Breast milk, rich in vital antibodies like IgA and IgG, plays a crucial role in enhancing the immune defence of breastfeeding infants. However, limited research exists on the antibody responses in breast milk among individuals receiving single versus double doses of the COVID-19 vaccine.
View Article and Find Full Text PDFIntroduction: Dozens of vaccines have been approved or authorized internationally in response to the ongoing SARS-CoV-2 pandemic, covering a range of modalities and routes of delivery. For example, mucosal delivery of vaccines via the intranasal (i.n.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!