4th Generation HIV screening in the emergency department: net profit or loss for hospitals?. Issue 5 (4th May 2023)

• Record Type: Journal Article
• Authors: Hoenigl, Martin; Lo, Megan; Coyne, Christopher J.; Wagner, Gabriel A.; Blumenthal, Jill; Mathur, Kushagra; Horton, Lucy E.; Martin, Thomas C.S.; Vilke, Gary M.; Little, Susan J.
• Is Part Of: AIDS care. Volume 35:Issue 5(2023)
• Page Start: 714
• Page End: 718
• Publication Date: 2023-05-04
• Subjects: HIV -- insurance -- testing -- emergency department -- cost analysis; AIDS (Disease) -- Social aspects -- Periodicals; AIDS (Disease) -- Psychological aspects -- Periodicals; AIDS (Disease) -- Patients -- Care -- Periodicals; Acquired Immunodeficiency Syndrome; 362.1969792
• DOI: 10.1080/09540121.2021.1995838
• Languages: English
• ISSNs: 0954-0121

Abstract

ABSTRACT : The 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.