Background: Little is known about differences in costs to provide anesthesia care for different surgical subspecialties and which factors influence the subspecialty-specific costs.
Methods: In this retrospective study, the authors determined main cost components (preoperative visit, intraoperative personnel costs, material and pharmaceutical costs, and others) for 10,843 consecutive anesthesia cases from a 6-month period in the 10 largest anesthesia subspecialties in their university hospital: ophthalmology; general surgery; obstetrics and gynecology; ear, nose, and throat surgery; oral and facial surgery; neurosurgery; orthopedics; cardiovascular surgery; traumatology; and urology. Using regression analysis, the effect of five presumed cost drivers (anesthesia duration, emergency status, American Society of Anesthesiologists physical status of III or higher, patient age younger 6 yr, and placement of invasive monitoring) on subspecialty-specific costs per anesthesia minute were analyzed.
Results: Both personnel costs for anesthesiologists and total costs calculated per anesthesia minute were inversely correlated with the duration of anesthesia (adjusted R2 = 0.75 and 0.69, respectively), i.e., they were higher for subspecialties with short cases and lower for subspecialties with longer cases. The multiple regression model showed that differences in anesthesia duration alone accounted for the majority of the cost differences, whereas the other presumed cost drivers added only little to explain subspecialty-specific cost differences.
Conclusions: Different anesthesia subspecialties show significant and financially important differences regarding their specific costs. Personnel costs and total costs are highest for subspecialties with the shortest cases. Other analyzed cost drivers had little effect on subspecialty-specific costs. In the light of these cost differences, a detailed cost analysis seems necessary before the profitability of an anesthesia subspecialty can be assessed.
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http://dx.doi.org/10.1097/00000542-200412000-00026 | DOI Listing |
PLoS One
January 2025
Department of Public Health, Policy and Systems, University of Liverpool, Liverpool, United Kingdom.
Introduction: Undiagnosed chronic disease has serious health consequences, and variation in rates of underdiagnosis between populations can contribute to health inequalities. We aimed to estimate the level of undiagnosed disease of 11 common conditions and its variation across sociodemographic characteristics and regions in England.
Methods: We used linked primary care, hospital and mortality data on approximately 1.
Environ Sci Technol
January 2025
School of Environment, Tsinghua University, Beijing 100084, China.
Overexploiting ecosystems to meet growing food demands threatens global agricultural sustainability and food security. Addressing these challenges requires solutions tailored to regional agro-ecological boundaries (AEBs) and overall agro-ecological risks. Here, we propose a globally consistent and regionally adapted approach for quantifying regional AEBs.
View Article and Find Full Text PDFPublic Health Pract (Oxf)
June 2025
Erasmus MC, Pandemic and Disaster Preparedness Center, Delft, Rotterdam, the Netherlands.
Background: The disease burden of COVID-19 infection, morbidity, and mortality was unevenly distributed across different population subgroups. A one-size-fits-all approach may not reach all groups. Identifying barriers and drivers that influence behaviour towards COVID-19 public health and social measures (PHSM) is an important step when designing tailored interventions.
View Article and Find Full Text PDFGlob Health Res Policy
January 2025
Center for Public Health and Epidemic Preparedness and Response, Peking University, Haidian District, 38Th Xueyuan Road, Beijing, 100191, China.
Background: As population aging intensifies, it becomes increasingly important to elucidate the casual relationship between aging and changes in population health. Therefore, our study proposed to develop a systematic attribution framework to comprehensively evaluate the health impacts of population aging.
Methods: We used health-adjusted life expectancy (HALE) to measure quality of life and disability-adjusted life years (DALY) to quantify the burden of disease for the population of Guangzhou.
BMJ Glob Health
January 2025
Results for Development Institute, Washington, District of Columbia, USA.
Despite primary healthcare (PHC) being recognised in global declarations-Alma Ata in 1978 and Astana in 2018-and prioritised in national health strategies, chronic under-resourcing of PHC persists in most low-income and middle-income countries. More public spending is needed for PHC, but macrofiscal and political constraints often limit the ability of governments to allocate more public resources to PHC. Under-resourcing has been compounded by fragmented and rigid funding flows, which are inefficient and may erode equity, quality of care and public trust in PHC.
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