There are variations in the values reported for aerosol drug delivery across in vitro experiments throughout the published literature, and often with the same devices or similar experimental setups. Factors contributing to this variability include, but are not limited to device type, equipment settings, drug type and quantification methods. This study assessed the impact of head model choice on aerosol drug delivery using six different adults and three different paediatric head models in combination with a facemask, mouthpiece, and high-flow nasal cannula. Under controlled test conditions, the quantity of drug collected varied depending on the choice of head model. Head models vary depending on a combination of structural design differences, facial features (size and structure), internal volume measurements and airway geometries and these variations result in the differences in aerosol delivery. Of the widely available head models used in this study, only three were seen to closely predict in vivo aerosol delivery performance in adults compared with published scintigraphy data. Further, this testing identified the limited utility of some head models under certain test conditions, for example, the range reported across head models was aerosol drug delivery of 2.62 ± 2.86% to 37.79 ± 1.55% when used with a facemask. For the first time, this study highlights the impact of head model choice on reported aerosol drug delivery within a laboratory setting and contributes to explaining the differences in values reported within the literature.
Study Objective: Seasonal Influenza continues to present a significant annual burden as the vaccination rate for all persons six months and older in the United States is 51.8%. Emergency Department (ED) based influenza programs have been successfully implemented and improve vaccine uptake, reduce incidence and costs, as well as improve outcomes. We modeled the process of implementing an ED based vaccination program for a large health system's Medicare (65+) and Medicaid populations. We utilized existing electronic health records (EHR) and evaluated the impact on the patient population and expenditures to health system.Methods: A retrospective review of ED encounters limited to Medicare and Medicaid populations was performed across 14 tertiary care hospital EDs and 6 freestanding EDs for calendar year 2020. Together, the total number of unvaccinated individuals was identified to determine the potential impact of an ED vaccination campaign. The average cost and loss per inpatient stay was identified from prior industry Medicare benchmark data. Medicare benchmark data was utilized to extrapolate Medicaid losses. Results from previously published cost-effectiveness studies identified the vaccination thresholds to prevent one additional case of influenza, one additional hospitalization, and one additional fatality. A predictive model was developed to assess the total preventable flu cases, hospitalizations, fatalities, and incremental cost avoidance based on total identified unvaccinated population.Results: A total of 39,463 unvaccinated individuals were identified with 14,064 individuals classified as Medicare aged 65 and over as well as 25,379 individuals classified as Medicaid. Assuming a 95% Target Outreach, 90% Medical Eligibility, and 70% acceptance rate, 414 flu cases would be prevented (266 Medicaid, 148 Medicare), 28 hospitalizations would be prevented (18 Medicaid, 10 Medicare), and 8 deaths would be prevented (5 Medicaid, 3 Medicare). Accordingly, a reduction in admissions would prevent $409,360 in total inpatient medical costs and $36,232 in losses to healthcare systems for Influenza-related admissions.Conclusion: An ED based influenza vaccination program would have measureable impact on patient influenza disease burden and associated medical expenditures.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.