Background: Dedicated units for the care of acute coronary syndrome (ACS) have been submitted to economic evaluations; however, the results have not been systematically presented.
Objective: To identify and summarize economic outcomes of studies on hospital units dedicated to the initial care of patients with suspected or confirmed ACS.
Methods: A systematic review of literature to identify economic evaluations of chest pain unit (CPU), coronary care unit (CCU), or equivalent units was done. Two search strategies were used: the first one to identify economic evaluations irrespective of study design, and the second one to identify randomized clinical trials that reported economic outcomes. The following databases were searched: MEDLINE, EMBASE, CENTRAL, and National Health Service (NHS)Economic Evaluation Database. Data extraction was performed by two independent reviewers. Costs were inflated to 2012 values.
Results: Search strategies retrieved five partial economic evaluations based on observational studies, six randomized clinical trials that reported economic outcomes, and five model-based economic evaluations. Overall, cost estimates based on observational studies and randomized clinical trials reported statistically significant cost savings of more than 50% with the adoption of CPU care instead of routine hospitalization or CCU care for suspected low-to-intermediate risk patients with ACS (median per-patient cost US $1,969.89; range US $1,002.12-13,799.15). Model-based economic evaluations reported incremental cost-effectiveness ratios below US $ 50,000/quality-adjusted life-year for all comparisons between intermediate care unit, CPU, or CCU with routine hospital admissions. This finding was sensible to myocardial infarction probability.
Conclusions: Published economic evaluations indicate that more intensive care is likely to be cost-effective in comparison to routine hospital admission for patients with suspected ACS.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jval.2015.11.015 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Adding automated breast ultrasound to mammography in women with increased breast density or at an elevated risk of breast cancer is a cost-effective screening strategy.
Cancer Causes Control
January 2025
North Valley Breast Clinic, 1335 Buenaventura Blvd, Suite 204, Redding, CA, 96001, USA.
Objectives: Automated breast ultrasound imaging (ABUS) results in a reduction in breast cancer stage at diagnosis beyond that seen with mammographic screening in women with increased breast density or who are at a high risk of breast cancer. It is unknown if the addition of ABUS to mammography or ABUS imaging alone, in this population, is a cost-effective screening strategy.
Methods: A discrete event simulation (Monte Carlo) model was developed to assess the costs of screening, diagnostic evaluation, biopsy, and breast cancer treatment.
Cost-Effective Drug Testing: Analytical Methodology, Best Practices, and Clinical Utility.
J Appl Lab Med
January 2025
Department of Pathology and Laboratory Medicine, UC Davis Health, Sacramento, CA, United States.
Background: Drug overdose-related deaths continue to increase globally. Testing demands have likewise increased, prompting healthcare facilities to adopt a range of methods, from simple point-of-care immunoassays to comprehensive chromatographic and mass spectrometry-based techniques. Each of these testing methods has trade-offs related to cost, performance, speed, and convenience, requiring healthcare facilities to carefully determine the best options to meet their clinical needs.
View Article and Find Full Text PDFRenewable energy and cryptocurrency: A dual approach to economic viability and environmental sustainability.
Heliyon
November 2024
Department of Energy System Engineering, Faculty of Mechanical Engineering, K.N. Toosi University of Technology, No. 15, Pardis St., Molasadra Ave., Vanak Sq., Tehran, Iran.
One of the foremost challenges facing Bitcoin, as the most valuable cryptocurrency operating on a proof-of-work mechanism, is its substantial energy consumption and environmental impact. With the expansion of the Bitcoin market, mining has surged in popularity, particularly in countries where energy and monetary costs are comparatively low. This study aims to assess the impact of utilizing renewable energy from a photovoltaic system for Bitcoin mining, simulating a solar power plant with a 50.
View Article and Find Full Text PDFBackground: Patient navigation is an evidence-based intervention for reducing delays in cancer care for underserved populations. There are limited economic evaluations of patient navigation in the US health care system and few have considered costs at various phases along the implementation spectrum. Having economic data, including costs and cost savings, can support sustainability of patient navigation programs.
View Article and Find Full Text PDFFault detection and diagnosis of the wastewater nitrate and nitrite sensors using PCA and FDA combined with assessment of the economic and environmental impact of the faults.
Environ Monit Assess
January 2025
Department of Chemical Engineering, Faculty of Chemistry and Chemical Engineering, Babes-Bolyai University of Cluj-Napoca, 11 Arany János Street, 400028, Cluj-Napoca, Romania.
One of the leading challenges in Water Resource Recovery Facility monitoring and control is the poor data quality and sensor consistency due to the tough and complex circumstances of the process operation. This paper presents a new principal component analysis fault detection approach for the nitrate and nitrite concentration sensor based on Water Resource Recovery Facility measurements, together with the Fisher Discriminant Analysis identification of fault types. Five malfunction cases were considered: constant additive error, ramp changing error in time, incorrect amplification error, random additive error, and unchanging sensor value error.
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!