Literature DB >> 18045889

Development and implementation of a model to improve identification of patients infected with HIV using diagnostic rapid testing in the emergency department.

Jason S Haukoos1, Emily Hopkins, Vassily T Eliopoulos, Richard L Byyny, Kate A Laperriere, Myles X Mendoza, Mark W Thrun.   

Abstract

OBJECTIVES: Infection with the human immunodeficiency virus (HIV) continues to expand in nontraditional risk groups, and the prevalence of undiagnosed infection remains relatively high in the patient populations of urban emergency departments (EDs). Unfortunately, HIV testing in this setting remains uncommon. The objectives of this study were 1) to develop a physician-based diagnostic rapid HIV testing model, 2) to implement this model in a high-volume urban ED, and 3) to prospectively characterize the patients who were targeted by physicians for testing and determine the proportions who completed rapid HIV counseling, testing, and referral; tested positive for HIV infection; and were successfully linked into medical and preventative care.
METHODS: An interdisciplinary group of investigators developed a model for performing physician-based diagnostic rapid HIV testing in the ED. This model was then evaluated using a prospective cohort study design. Emergency physicians identified patients at risk for undiagnosed HIV infection using clinical judgment and consensus guidelines. Testing was performed by the hospital's central laboratory, and clinical social workers performed pretest and posttest counseling and provided appropriate medical and preventative care referrals, as defined by the model.
RESULTS: Over the 30-month study period, 105,856 patients were evaluated in the ED. Of these, 681 (0.64%; 95% confidence interval [CI] = 0.60% to 0.69%) were identified by physicians and completed rapid HIV counseling, testing, and referral. Of the 681 patients, 15 (2.2%; 95% CI = 1.2% to 3.6%) patients tested positive for HIV infection and 12 (80%; 95% CI = 52% to 96%) were successfully linked into care.
CONCLUSIONS: A physician-based diagnostic HIV testing model was developed, successfully implemented, and sustained in a high-volume, urban ED setting. While the use of this model successfully identified patients with undiagnosed HIV infection in the ED, the overall level of testing remained low. Innovative testing programs, such as nontargeted screening, more specific targeted screening, or alternative hybrid methods, are needed to more effectively identify undiagnosed HIV infection in the ED patient population.

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Year:  2007        PMID: 18045889     DOI: 10.1197/j.aem.2007.07.015

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  17 in total

Review 1.  Linkage-to-care Methods and Rates in U.S. Emergency Department-based HIV Testing Programs: A Systematic Literature Review Brief Report.

Authors:  Aravind A Menon; Carolyn Nganga-Good; Mikeeo Martis; Cassie Wicken; Katie Lobner; Richard E Rothman; Yu-Hsiang Hsieh
Journal:  Acad Emerg Med       Date:  2016-07       Impact factor: 3.451

2.  Comparison of enhanced targeted rapid HIV screening using the Denver HIV risk score to nontargeted rapid HIV screening in the emergency department.

Authors:  Jason S Haukoos; Emily Hopkins; Brooke Bender; Comilla Sasson; Alia A Al-Tayyib; Mark W Thrun
Journal:  Ann Emerg Med       Date:  2013-01-04       Impact factor: 5.721

Review 3.  Operational methods of HIV testing in emergency departments: a systematic review.

Authors:  Jason S Haukoos; Douglas A E White; Michael S Lyons; Emily Hopkins; Yvette Calderon; Brian Kalish; Richard E Rothman
Journal:  Ann Emerg Med       Date:  2011-07       Impact factor: 5.721

4.  Comparison of missed opportunities for earlier HIV diagnosis in 3 geographically proximate emergency departments.

Authors:  Michael S Lyons; Christopher J Lindsell; D Beth Wayne; Andrew H Ruffner; Kimberly W Hart; Carl J Fichtenbaum; Alexander T Trott; Patrick S Sullivan
Journal:  Ann Emerg Med       Date:  2011-07       Impact factor: 5.721

5.  Counselor- versus provider-based HIV screening in the emergency department: results from the universal screening for HIV infection in the emergency room (USHER) randomized controlled trial.

Authors:  Rochelle P Walensky; William M Reichmann; Christian Arbelaez; Elizabeth Wright; Jeffrey N Katz; George R Seage; Steven A Safren; Anna Q Hare; Anna Novais; Elena Losina
Journal:  Ann Emerg Med       Date:  2011-07       Impact factor: 5.721

6.  Effect of an emergency department HIV testing program on the proportion of emergency department patients who have been tested.

Authors:  Nathan J Hudepohl; Christopher J Lindsell; Kimberly W Hart; Andrew H Ruffner; Alexander T Trott; Carl J Fichtenbaum; Michael S Lyons
Journal:  Ann Emerg Med       Date:  2011-07       Impact factor: 5.721

7.  Revising expectations from rapid HIV tests in the emergency department.

Authors:  Rochelle P Walensky; Christian Arbelaez; William M Reichmann; Ron M Walls; Jeffrey N Katz; Brian L Block; Matthew Dooley; Adam Hetland; Simeon Kimmel; Jessica D Solomon; Elena Losina
Journal:  Ann Intern Med       Date:  2008-08-05       Impact factor: 25.391

8.  Rapid HIV testing program implementation: lessons from the emergency department.

Authors:  Christian Arbelaez; Brian Block; Elena Losina; Elizabeth A Wright; William M Reichmann; Regina Mikulinsky; Jessica D Solomon; Matthew M Dooley; Rochelle P Walensky
Journal:  Int J Emerg Med       Date:  2009-09-01

9.  Structural factors and best practices in implementing a linkage to HIV care program using the ARTAS model.

Authors:  Jason Craw; Lytt Gardner; Amber Rossman; DeAnn Gruber; O'Donnell Noreen; Diana Jordan; Richard Rapp; Cathy Simpson; Karen Phillips
Journal:  BMC Health Serv Res       Date:  2010-08-20       Impact factor: 2.655

10.  Does modality of survey administration impact data quality: audio computer assisted self interview (ACASI) versus self-administered pen and paper?

Authors:  William M Reichmann; Elena Losina; George R Seage; Christian Arbelaez; Steven A Safren; Jeffrey N Katz; Adam Hetland; Rochelle P Walensky
Journal:  PLoS One       Date:  2010-01-15       Impact factor: 3.240

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