R Schnall1, N Liu2, J Sperling3, R Green4, S Clark3, D Vawdrey5. 1. Columbia University, School of Nursing, Columbia University Medical Center , New York, NY, United States. 2. Columbia University, Department of Health Policy and Management, Mailman School of Public Health , New York, NY, United States. 3. Weill Cornell Medical College, Department of Emergency Medicine , New York, NY, United States. 4. Columbia University, Department of Emergency Medicine, College of Physicians and Surgeons , New York, NY, United States. 5. Columbia University, Department of Biomedical Informatics, College of Physicians and Surgeons , New York, NY, United States.
Abstract
OBJECTIVE: Based on US. Centers for Disease Control and Prevention recommendations, New York State enacted legislation in 2010 requiring healthcare providers to offer non-targeted human immunodeficiency virus (HIV) testing to all patients aged 13-64. Three New York City adult emergency departments implemented an electronic alert that required clinicians to document whether an HIV test was offered before discharging a patient. The purpose of this study was to assess the impact of the electronic alert on HIV testing rates and diagnosis of HIV positive individuals. METHODS: During the pre-intervention period (2.5-4 months), an electronic "HIV Testing" order set was available for clinicians to order a test or document a reason for not offering the test (e.g., patient is not conscious). An electronic alert was then added to enforce completion of the order set, effectively preventing ED discharge until an HIV test was offered to the patient. We analyzed data from 79,786 visits, measuring HIV testing and detection rates during the pre-intervention period and during the six months following the implementation of the alert. RESULTS: The percentage of visits where an HIV test was performed increased from 5.4% in the preintervention period to 8.7% (p<0.001) after the electronic alert. After the implementation of the electronic alert, there was a 61% increase in HIV tests performed per visit. However, the percentage of patients testing positive per total patients-tested was slightly lower in the post-intervention group than the pre-intervention group (0.48% vs. 0.55%), but this was not significant. The number of patients-testing positive per total-patient visit was higher in the post-intervention group (0.04% vs. 0.03%). CONCLUSIONS: An electronic alert which enforced non-targeted screening was effective at increasing HIV testing rates but did not significantly increase the detection of persons living with HIV. The impact of this electronic alert on healthcare costs and quality of care merits further examination.
OBJECTIVE: Based on US. Centers for Disease Control and Prevention recommendations, New York State enacted legislation in 2010 requiring healthcare providers to offer non-targeted human immunodeficiency virus (HIV) testing to all patients aged 13-64. Three New York City adult emergency departments implemented an electronic alert that required clinicians to document whether an HIV test was offered before discharging a patient. The purpose of this study was to assess the impact of the electronic alert on HIV testing rates and diagnosis of HIV positive individuals. METHODS: During the pre-intervention period (2.5-4 months), an electronic "HIV Testing" order set was available for clinicians to order a test or document a reason for not offering the test (e.g., patient is not conscious). An electronic alert was then added to enforce completion of the order set, effectively preventing ED discharge until an HIV test was offered to the patient. We analyzed data from 79,786 visits, measuring HIV testing and detection rates during the pre-intervention period and during the six months following the implementation of the alert. RESULTS: The percentage of visits where an HIV test was performed increased from 5.4% in the preintervention period to 8.7% (p<0.001) after the electronic alert. After the implementation of the electronic alert, there was a 61% increase in HIV tests performed per visit. However, the percentage of patients testing positive per total patients-tested was slightly lower in the post-intervention group than the pre-intervention group (0.48% vs. 0.55%), but this was not significant. The number of patients-testing positive per total-patient visit was higher in the post-intervention group (0.04% vs. 0.03%). CONCLUSIONS: An electronic alert which enforced non-targeted screening was effective at increasing HIV testing rates but did not significantly increase the detection of persons living with HIV. The impact of this electronic alert on healthcare costs and quality of care merits further examination.
Entities:
Keywords:
HIV testing; electronic alert; electronic order set; screening test
Authors: Jesse M Pines; Joshua A Hilton; Ellen J Weber; Annechien J Alkemade; Hasan Al Shabanah; Philip D Anderson; Michael Bernhard; Alessio Bertini; André Gries; Santiago Ferrandiz; Vijaya Arun Kumar; Veli-Pekka Harjola; Barbara Hogan; Bo Madsen; Suzanne Mason; Gunnar Ohlén; Timothy Rainer; Niels Rathlev; Eric Revue; Drew Richardson; Mehdi Sattarian; Michael J Schull Journal: Acad Emerg Med Date: 2011-12 Impact factor: 3.451
Authors: Bruce R Schackman; Kenneth A Freedberg; Milton C Weinstein; Paul E Sax; Elena Losina; Hong Zhang; Sue J Goldie Journal: Arch Intern Med Date: 2002-11-25
Authors: H Irene Hall; Ruiguang Song; Philip Rhodes; Joseph Prejean; Qian An; Lisa M Lee; John Karon; Ron Brookmeyer; Edward H Kaplan; Matthew T McKenna; Robert S Janssen Journal: JAMA Date: 2008-08-06 Impact factor: 56.272
Authors: Benjamin H Slovis; Thomas A Nahass; Hojjat Salmasian; Gilad Kuperman; David K Vawdrey Journal: J Am Med Inform Assoc Date: 2017-11-01 Impact factor: 4.497
Authors: Shashi N Kapadia; Harjot K Singh; Sian Jones; Samuel Merrick; Carlos M Vaamonde Journal: Open Forum Infect Dis Date: 2018-07-19 Impact factor: 3.835