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"Faces" of the day:

Katharina Jandl

Nina Höller

Nariae Baik-Schneditz

Ellen Heitzer

Marianne Brodmann

Ewald Kolesnik

Bernhard Schwaberger

Maximilian Seles

Gabor Toth-Gayor

Lukas Peter Mileder

Niels Hammer

Christian Josef Hill

Christian Viertler

Philipp Klaritsch

Daniel Scherr

Harald Köfeler

Gerhard Pichler

Roland Malli

Michael Fuchsjäger

Gernot Plank

Peter Fickert

Richard Zigeuner

Peter Holzer

Selected Publication:

SHR Neuro Cancer Cardio Lipid Metab Microb

Hoenigl, M; Lo, M; Coyne, CJ; Wagner, GA; Blumenthal, J; Mathur, K; Horton, LE; Martin, TCS; Vilke, GM; Little, SJ.
4th Generation HIV screening in the emergency department: net profit or loss for hospitals?
AIDS CARE. 2021; 1-5. Doi: 10.1080/09540121.2021.1995838 [OPEN ACCESS]
Web of Science PubMed FullText FullText_MUG

 

Leading authors Med Uni Graz

Hönigl Martin

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Abstract:

ABSTRACTThe objective of this study was to determine hospital costs and revenue of universal opt-out HIV ED screening. An electronic medical record (EMR)-directed, automated ED screening program was instituted at an academic medical center in San Diego, California. A base model calculated net income in US dollars for the hospital by comparing annual testing costs with reimbursements using payor mixes and cost variables. To account for differences in payor mixes, testing costs, and reimbursement rates across hospitals in the US, we performed a probabilistic sensitivity analysis. The base model included a total of 12,513 annual 4th generation HIV tests with the following payor mix: 18% Medicare, 9% MediCal, 28% commercial and 8% self-payers, with the remainder being capitated contracts. The base model resulted in a net profit for the hospital. In the probabilistic sensitivity analysis, universal 4th generation HIV screening resulted in a net profit for the hospital in 81.9% of simulations. Universal 4th generation opt-out HIV screening in EDs resulted in a net profit to an academic hospital. Sensitivity analysis indicated that ED HIV screening results in a net-profit for the majority of simulations, with higher proportions of self-payers being the major predictor of a net loss.

Find related publications in this database (Keywords)

HIV

insurance

testing

emergency department

cost analysis

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