Literature DB >> 21689037

Emergency department HIV screening with rapid tests: a cost comparison of alternative models.

Angela B Hutchinson1, Paul G Farnham, Sheryl B Lyss, Douglas A E White, Stephanie L Sansom, Bernard M Branson.   

Abstract

Although previous studies have shown that HIV screening in emergency departments (EDs) is feasible, the costs and outcomes of alternative methods of implementing ED screening have not been examined. We compared the costs and outcomes of a model that used the hospital's ED staff to conduct screening, a supplemental staff model that used non-ED staff hired to conduct screening and a hypothetical hybrid model that combined aspects of both approaches. We developed a decision analytic model to estimate the cost per HIV-infected patient identified using alternative ED testing models. The cost per new HIV infection identified was $3,319, $2,084 and $1,850 under the supplemental, existing staff and hybrid models, respectively. Assuming an annual ED census of 50,000 patients, the existing staff model identified 29 more HIV infections than the supplemental model and the hybrid model identified 76 more infections than the existing staff model. Our findings suggest that a hybrid model should be favored over either a supplemental staff or existing staff model in terms of cost per outcome achieved.

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Year:  2011        PMID: 21689037     DOI: 10.1521/aeap.2011.23.3_supp.58

Source DB:  PubMed          Journal:  AIDS Educ Prev        ISSN: 0899-9546


  8 in total

1.  Incorporation of Social Determinants of Health in the Peer-Reviewed Literature: A Systematic Review of Articles Authored by the National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention.

Authors:  Eleanor E Friedman; Hazel D Dean; Wayne A Duffus
Journal:  Public Health Rep       Date:  2018-06-06       Impact factor: 2.792

2.  Lessons Learned From the Development and Parameterization of a Computer Simulation Model to Evaluate Task Modification for Health Care Providers.

Authors:  Parastu Kasaie; W David Kelton; Rachel M Ancona; Michael J Ward; Craig M Froehle; Michael S Lyons
Journal:  Acad Emerg Med       Date:  2017-11-11       Impact factor: 3.451

3.  Understanding barriers to routine HIV screening: knowledge, attitudes, and practices of healthcare providers in King County, Washington.

Authors:  Alexandra Shirreffs; David P Lee; Jsani Henry; Matthew R Golden; Joanne D Stekler
Journal:  PLoS One       Date:  2012-09-06       Impact factor: 3.240

4.  Programmatic cost evaluation of nontargeted opt-out rapid HIV screening in the emergency department.

Authors:  Jason S Haukoos; Jonathan D Campbell; Amy A Conroy; Emily Hopkins; Meggan M Bucossi; Comilla Sasson; Alia A Al-Tayyib; Mark W Thrun
Journal:  PLoS One       Date:  2013-12-31       Impact factor: 3.240

5.  Potential Contributions of Clinical and Community Testing in Identifying Persons with Undiagnosed HIV Infection in the United States.

Authors:  James G Kahn; Eran Bendavid; Patricia M Dietz; Angela Hutchinson; Hacsi Horvath; Devon McCabe; Richard J Wolitski
Journal:  J Int Assoc Provid AIDS Care       Date:  2020 Jan-Dec

6.  How to best conduct universal HIV screening in emergency departments is far from settled.

Authors:  Daniel J Escudero; Monica Bahamon; Patricia Panakos; Daniel Hercz; George R Seage; Roland C Merchant
Journal:  J Am Coll Emerg Physicians Open       Date:  2021-01-14

7.  Understanding providers' offering and patients' acceptance of HIV screening in emergency departments: a multilevel analysis. ANRS 95008, Paris, France.

Authors:  Kayigan Wilson d'Almeida; Dominique Pateron; Gérald Kierzek; Bertrand Renaud; Caroline Semaille; Pierre de Truchis; François Simon; Judith Leblanc; France Lert; Stéphane Le Vu; Anne-Claude Crémieux
Journal:  PLoS One       Date:  2013-04-29       Impact factor: 3.240

8.  Cost-Effectiveness of Frequent HIV Testing of High-Risk Populations in the United States.

Authors:  Angela B Hutchinson; Paul G Farnham; Stephanie L Sansom; Emine Yaylali; Jonathan H Mermin
Journal:  J Acquir Immune Defic Syndr       Date:  2016-03-01       Impact factor: 3.731

  8 in total

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