Literature DB >> 25383710

HIV laboratory monitoring reliably identifies persons engaged in care.

Bonnie B Dean1, Rachel L D Hart, Kate Buchacz, Samuel A Bozzette, Kathy Wood, John T Brooks.   

Abstract

BACKGROUND: Attendance at biannual medical encounters has been proposed as a minimum national standard for adequate engagement in HIV care. Using data from the HIV Outpatient Study, we analyzed how well dates of HIV-related laboratory testing correlated with attendance at biannual medical encounters.
METHODS: HIV Outpatient Study is an open prospective cohort study of HIV-infected patients receiving outpatient care in the United States. The data set included dates for laboratory measurements and medical encounters. We included patients with at least 1 HIV laboratory test (CD4 cell count or plasma HIV RNA viral load) during 2010-2011. An HIV laboratory test was defined as associated with a medical encounter if it occurred within 3 weeks of the encounter. We assessed the predictive value of HIV laboratory tests as a proxy for adequate engagement in clinical care, defined as having had ≥2 HIV laboratory tests within 1 year and performed >90 days apart.
RESULTS: A total of 10,321 HIV laboratory tests were recorded from 2909 patients. Adequate engagement in clinical care based on medical encounters was 88.2% and 77.3% when based on laboratory tests. Using HIV laboratory tests to assess engagement had a sensitivity of 85.7%, specificity of 86.0%, and positive and negative predictive values of 97.9% and 44.5%, respectively. Of the 22.7% classified as not engaged in care by the proxy measure, over half (55.5%) were actually engaged.
CONCLUSIONS: Using laboratory monitoring reliably classified persons as engaged in care. Of the 22.7% of patients classified as not engaged in care, most were actually engaged.

Entities:  

Mesh:

Year:  2015        PMID: 25383710      PMCID: PMC4657742          DOI: 10.1097/QAI.0000000000000406

Source DB:  PubMed          Journal:  J Acquir Immune Defic Syndr        ISSN: 1525-4135            Impact factor:   3.731


  14 in total

1.  Nonadherence to medical appointments is associated with increased plasma HIV RNA and decreased CD4 cell counts in a community-based HIV primary care clinic.

Authors:  M B Berg; S A Safren; M J Mimiaga; C Grasso; S Boswell; K H Mayer
Journal:  AIDS Care       Date:  2005-10

2.  Guidelines for improving entry into and retention in care and antiretroviral adherence for persons with HIV: evidence-based recommendations from an International Association of Physicians in AIDS Care panel.

Authors:  Melanie A Thompson; Michael J Mugavero; K Rivet Amico; Victoria A Cargill; Larry W Chang; Robert Gross; Catherine Orrell; Frederick L Altice; David R Bangsberg; John G Bartlett; Curt G Beckwith; Nadia Dowshen; Christopher M Gordon; Tim Horn; Princy Kumar; James D Scott; Michael J Stirratt; Robert H Remien; Jane M Simoni; Jean B Nachega
Journal:  Ann Intern Med       Date:  2012-03-05       Impact factor: 25.391

3.  Antiretroviral treatment of adult HIV infection: 2012 recommendations of the International Antiviral Society-USA panel.

Authors:  Melanie A Thompson; Judith A Aberg; Jennifer F Hoy; Amalio Telenti; Constance Benson; Pedro Cahn; Joseph J Eron; Huldrych F Günthard; Scott M Hammer; Peter Reiss; Douglas D Richman; Giuliano Rizzardini; David L Thomas; Donna M Jacobsen; Paul A Volberding
Journal:  JAMA       Date:  2012-07-25       Impact factor: 56.272

Review 4.  The spectrum of engagement in HIV care and its relevance to test-and-treat strategies for prevention of HIV infection.

Authors:  Edward M Gardner; Margaret P McLees; John F Steiner; Carlos Del Rio; William J Burman
Journal:  Clin Infect Dis       Date:  2011-03-15       Impact factor: 9.079

Review 5.  Interventions to improve retention in HIV primary care: a systematic review of U.S. studies.

Authors:  Darrel H Higa; Gary Marks; Nicole Crepaz; Adrian Liau; Cynthia M Lyles
Journal:  Curr HIV/AIDS Rep       Date:  2012-12       Impact factor: 5.071

6.  One-year adherence to clinic visits after highly active antiretroviral therapy: a predictor of clinical progress in HIV patients.

Authors:  W B Park; P G Choe; S-H Kim; J H Jo; J H Bang; H B Kim; N J Kim; M Oh; K W Choe
Journal:  J Intern Med       Date:  2007-03       Impact factor: 8.989

7.  Development of national and multiagency HIV care quality measures.

Authors:  Michael A Horberg; Judith A Aberg; Laura W Cheever; Philip Renner; Erin O'Brien Kaleba; Steven M Asch
Journal:  Clin Infect Dis       Date:  2010-09-15       Impact factor: 9.079

8.  Optimizing the use of surveillance data for monitoring the care status of persons recently diagnosed with HIV in NYC.

Authors:  Charulata J Sabharwal; Sarah L Braunstein; Rebekkah S Robbins; Colin W Shepard
Journal:  J Acquir Immune Defic Syndr       Date:  2014-04-15       Impact factor: 3.731

9.  Missed visits and mortality among patients establishing initial outpatient HIV treatment.

Authors:  Michael J Mugavero; Hui-Yi Lin; James H Willig; Andrew O Westfall; Kimberly B Ulett; Justin S Routman; Sarah Abroms; James L Raper; Michael S Saag; Jeroan J Allison
Journal:  Clin Infect Dis       Date:  2009-01-15       Impact factor: 9.079

10.  Retention in care: a challenge to survival with HIV infection.

Authors:  Thomas P Giordano; Allen L Gifford; A Clinton White; Maria E Suarez-Almazor; Linda Rabeneck; Christine Hartman; Lisa I Backus; Larry A Mole; Robert O Morgan
Journal:  Clin Infect Dis       Date:  2007-04-23       Impact factor: 9.079

View more
  9 in total

1.  Using HIV Viral Load From Surveillance to Estimate the Timing of Antiretroviral Therapy Initiation.

Authors:  Sarah L Braunstein; McKaylee M Robertson; Julie Myers; Denis Nash
Journal:  J Acquir Immune Defic Syndr       Date:  2016-10-01       Impact factor: 3.731

2.  Comparison of algorithms for identifying people with HIV from electronic medical records in a large, multi-site database.

Authors:  Jessica P Ridgway; Joseph A Mason; Eleanor E Friedman; Samantha Devlin; Junlan Zhou; David Meltzer; John Schneider
Journal:  JAMIA Open       Date:  2022-05-17

3.  Using HIV Surveillance Data to Link People to HIV Medical Care, 5 US States, 2012-2015.

Authors:  John Beltrami; Odessa Dubose; Reginald Carson; Janet C Cleveland
Journal:  Public Health Rep       Date:  2018-05-11       Impact factor: 2.792

4.  Laboratory Measures as Proxies for Primary Care Encounters: Implications for Quantifying Clinical Retention Among HIV-Infected Adults in North America.

Authors:  Peter F Rebeiro; Keri N Althoff; Bryan Lau; John Gill; Alison G Abraham; Michael A Horberg; Mari M Kitahata; Baligh R Yehia; Hasina Samji; John T Brooks; Kate Buchacz; Sonia Napravnik; Michael J Silverberg; Anita Rachlis; Kelly A Gebo; Timothy R Sterling; Richard D Moore; Stephen J Gange
Journal:  Am J Epidemiol       Date:  2015-11-17       Impact factor: 4.897

5.  Improving Retention in HIV Care Through New York's Expanded Partner Services Data-to-Care Pilot.

Authors:  James M Tesoriero; Britney L Johnson; Rachel Hart-Malloy; Jennifer L Cukrovany; Brenda L Moncur; Kathleen M Bogucki; Bridget J Anderson; Megan C Johnson
Journal:  J Public Health Manag Pract       Date:  2017 May/Jun

6.  Association between engagement in-care and mortality in HIV-positive persons.

Authors:  Caroline A Sabin; Alison Howarth; Sophie Jose; Teresa Hill; Vanessa Apea; Steve Morris; Fiona Burns
Journal:  AIDS       Date:  2017-03-13       Impact factor: 4.177

7.  Validation of Retention in HIV Care Status Using the New York City HIV Surveillance Registry and Clinical Care Data From a Large HIV Care Center.

Authors:  Rituparna Pati; Rebekkah S Robbins; Sarah L Braunstein
Journal:  J Public Health Manag Pract       Date:  2017 Nov/Dec

8.  Defining Care Patterns and Outcomes Among Persons Living with HIV in Washington, DC: Linkage of Clinical Cohort and Surveillance Data.

Authors:  Amanda D Castel; Arpi Terzian; Jenevieve Opoku; Lindsey Powers Happ; Naji Younes; Michael Kharfen; Alan Greenberg
Journal:  JMIR Public Health Surveill       Date:  2018-03-16

9.  Use of national standards to monitor HIV care and treatment in a high prevalence city-Washington, DC.

Authors:  Amanda D Castel; Arpi Terzian; Rachel Hart; Nabil Rayeed; Mariah M Kalmin; Heather Young; Alan E Greenberg
Journal:  PLoS One       Date:  2017-10-05       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.