Literature DB >> 12702128

An audit of antiretroviral treatment use in HIV-infected patients in a London clinic: the limitations of observational databases when auditing antiretroviral treatment use.

C A Sabin1, F C Lampe, C Chaloner, S J Madge, M C I Lipman, M Youle, A N Phillips, M A Johnson.   

Abstract

OBJECTIVE: To audit the use of antiretroviral (ARV) treatment in a large treatment clinic in the UK against the British HIV Association (BHIVA) ARV treatment guidelines.
METHODS: All patients under follow-up between 1st January 2000 and 1st January 2001 were included. The most recent CD4 count and HIV RNA level prior to 1st January 2001, and the nadir CD4 count and peak HIV RNA level over follow-up, were used to identify which patients should be receiving HAART according to the guidelines.
RESULTS: One thousand two hundred and sixty-four patients were included in the analysis (63.8% homosexual, 29.0% heterosexual risk; 72.9% white; 79.2% male). Almost half of patients had ever had a CD4 count below 200 cells/ micro L and over 80% had previously had a viral load above 4 log10 HIV-1 RNA copies/mL. Under 2000 BHIVA guidelines, treatment would be recommended in 77.4% patients. Overall, 819 patients were receiving ARV therapy. Two hundred and eighty-five patients were not receiving treatment when guidelines suggest they should (including 33 patients who were receiving regimens not recommended in the guidelines). These patients were younger, less likely to be homosexual and had higher CD4 nadirs than those who were receiving ARV treatment. Almost half of these patients had previously received ARV therapy but were not currently receiving it.
CONCLUSION: Only a small proportion of patients at our centre were not receiving ARV treatment in line with national guidelines. While genuine reasons may exist for these departures from optimal care, this may simply reflect the limitations of using observational databases when auditing treatment use in a clinic setting.

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Year:  2003        PMID: 12702128     DOI: 10.1046/j.1468-1293.2003.00141.x

Source DB:  PubMed          Journal:  HIV Med        ISSN: 1464-2662            Impact factor:   3.180


  5 in total

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Authors:  Yuming Wang; Shuying Liang; Erman Yu; Jinling Guo; Zizhao Li; Zhe Wang; Yukai Du
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2011-10-25

2.  Assessment of the efficacy of total lymphocyte counts as predictors of AIDS defining infections in HIV-1 infected people.

Authors:  J Stebbing; S Sawleshwarkar; C Michailidis; R Jones; M Bower; S Mandalia; M Nelson; B Gazzard
Journal:  Postgrad Med J       Date:  2005-09       Impact factor: 2.401

3.  Quality of data collection in a large HIV observational clinic database in sub-Saharan Africa: implications for clinical research and audit of care.

Authors:  Agnes N Kiragga; Barbara Castelnuovo; Petra Schaefer; Timothy Muwonge; Philippa J Easterbrook
Journal:  J Int AIDS Soc       Date:  2011-01-20       Impact factor: 5.396

4.  Implementation of provider-based electronic medical records and improvement of the quality of data in a large HIV program in Sub-Saharan Africa.

Authors:  Barbara Castelnuovo; Agnes Kiragga; Victor Afayo; Malisa Ncube; Richard Orama; Stephen Magero; Peter Okwi; Yukari C Manabe; Andrew Kambugu
Journal:  PLoS One       Date:  2012-12-17       Impact factor: 3.240

5.  Choice of first-line antiretroviral therapy regimen and treatment outcomes for HIV in a middle income compared to a high income country: a cohort study.

Authors:  Gordana Dragovic; Colette J Smith; Djordje Jevtovic; Bozana Dimitrijevic; Jovana Kusic; Mike Youle; Margaret A Johnson
Journal:  BMC Infect Dis       Date:  2016-03-03       Impact factor: 3.090

  5 in total

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