Literature DB >> 30180113

A Clinical Informatics Approach to Reengagement in HIV Care in the Emergency Department.

Jessica P Ridgway1, Ellen Almirol, Jessica Schmitt, Lindsey Wesley-Madgett, David Pitrak.   

Abstract

Emergency department visits provide an opportunity to reengage people living with HIV (PLWH) who are out of care. We developed an electronic medical record-based algorithm to identify PLWH in the emergency department and inpatient settings and utilized a trained HIV care navigator to reengage PLWH in these settings. The algorithm identified 420 PLWH during the 14-month observation period. Of these, 56 patients were out of care. Out-of-care individuals were significantly younger than those in care (mean age: 38.6 ± 15.5 vs 46.3 ±14.8 years, P < .001) and more likely to be uninsured (7.1% [4/56] vs 1.8% [6/337], P = .02). Among out-of-care patients, 66.1% (37/56) were reengaged in care. Only 21.4% (12/56) of out-of-care patients had previously received outpatient HIV care at our institution. This project demonstrates the feasibility of using an electronic medical record alert and HIV care navigator to reengage PLWH seeking emergency medical care.

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Year:  2019        PMID: 30180113     DOI: 10.1097/PHH.0000000000000844

Source DB:  PubMed          Journal:  J Public Health Manag Pract        ISSN: 1078-4659


  3 in total

1.  Designing an electronic medical record alert to identify hospitalised patients with HIV: successes and challenges.

Authors:  Walid El-Nahal; Thomas Grader-Beck; Kelly Gebo; Elizabeth Holmes; Kayla Herne; Richard Moore; David Thompson; Stephen Berry
Journal:  BMJ Health Care Inform       Date:  2022-06

Review 2.  Machine Learning and Clinical Informatics for Improving HIV Care Continuum Outcomes.

Authors:  Jessica P Ridgway; Alice Lee; Samantha Devlin; Jared Kerman; Anoop Mayampurath
Journal:  Curr HIV/AIDS Rep       Date:  2021-03-04       Impact factor: 5.495

3.  The Facility-Level HIV Treatment Cascade: Using a Population Health Tool in Health Care Facilities to End the Epidemic in New York State.

Authors:  Daniel J Ikeda; Leah Hollander; Susan Weigl; Steven V Sawicki; Daniel R Belanger; Nova Y West; Nanette Brey Magnani; Christopher G Wells; Peter Gordon; Johanne Morne; Bruce D Agins
Journal:  Open Forum Infect Dis       Date:  2018-10-26       Impact factor: 3.835

  3 in total

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