Literature DB >> 33993397

The Value of Assessing Self-Reported and Biological Indicators of Outcomes in Evaluating HIV Programs.

Rick S Zimmerman1, Purnima Mehrotra2, Tessa Madden3, Rachel Paul3.   

Abstract

PURPOSE OF REVIEW: In this manuscript, we present recent findings concerning concordance and discrepancy between biological measures and self-reports of these three outcomes of HIV programs: HIV status, adherence to antiretroviral medications (ARVs) and use of and adherence to pre-exposure prophylaxis medication (PrEP), and condom use/unprotected sex. RECENT
FINDINGS: Recent studies suggest that three successive rapid HIV tests (for those whose first test in positive) might be reasonably inexpensive and valid biological data to collect to combine with self-reports of HIV status, dried blood spots sufficiently affordable to combine with self-reports of adherence to ARVs and use of or adherence to PrEP, and that the discrepancy between self-reports of condom use and biomarkers of unprotected sex may be relatively small in high-income countries. Additional work on assessment of incorrect condom usage and breakage, standardized self-report measures of condom use, and more private data collection methodologies in low-income settings might reduce the recent observed discrepancies even further. Concordance between self-reports of HIV and biomarkers indicating HIV positive status has varied considerably, with much lower rates in low-income countries, where the stigma of HIV is still very high. Recommendation is for combining self-report data with the results of three successive rapid tests for those testing positive. For adherence, again agreement between self-reports and a variety of more objective and/or biological measures is only moderate. Dried blood spots (DBS) may be sufficiently inexpensive in low-resource settings that this may be the best biological method to combine with self-reports. In publications over the last 8 years, the discrepancy between self-reports of condom use and biomarkers for unprotected sex may be even lower than 20% after controlling for other features of the study, particularly in high-income countries. Our results suggest that more careful assessment of incorrect condom use and breakage as reasons other than intentional misreporting should be investigated more carefully and that more private data collection methods such as audio, computer-assisted self-interviewing (ACASI) might be employed more often in low-resource settings to reduce this discrepancy in those settings further. In addition, further analysis of the discrepancy between self-reports of condom use and biomarkers should be conducted of published studies using the correct calculation methods to be more certain of these findings.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Keywords:  Biomarkers; Evaluation; HIV programs; Methodology; Self-report; Validity

Year:  2021        PMID: 33993397     DOI: 10.1007/s11904-021-00560-3

Source DB:  PubMed          Journal:  Curr HIV/AIDS Rep        ISSN: 1548-3568            Impact factor:   5.071


  72 in total

Review 1.  HIV transmission rates from persons living with HIV who are aware and unaware of their infection.

Authors:  H Irene Hall; David R Holtgrave; Catherine Maulsby
Journal:  AIDS       Date:  2012-04-24       Impact factor: 4.177

2.  Polymerase chain reaction detection of Y chromosome sequences in vaginal fluid: preliminary studies of a potential biomarker for sexual behavior.

Authors:  Jonathan M Zenilman; Jeffrey Yuenger; Noya Galai; Charles F Turner; Susan M Rogers
Journal:  Sex Transm Dis       Date:  2005-02       Impact factor: 2.830

3.  Reliability of self-report of HIV status among men who have sex with men in Brazil.

Authors:  Rosa Maria Salani Mota; Ligia Regina Franco Sansigolo Kerr; Carl Kendall; Adriana Pinho; Maeve Brito de Mello; Inês Dourado; Mark Drew Crosland Guimarães; Ana Brito; Sônia Batista; Fabiano Abreu; Adele Benzaken; Lisangela Oliveira; Adão Moraes; Edgar Merchan-Hamann; Giselle Freitas; Elizabeth Maciel Albuquerque; Willi McFarland; George Rutherford
Journal:  J Acquir Immune Defic Syndr       Date:  2011-08       Impact factor: 3.731

4.  Prevalence of hepatitis B and C and HIV infections among problem drug users in Luxembourg: self-report versus serological evidence.

Authors:  Alain Origer; Jean-Claude Schmit
Journal:  J Epidemiol Community Health       Date:  2010-10-01       Impact factor: 3.710

5.  Accuracy of self-reported HIV-testing history and awareness of HIV-positive status in four sub-Saharan African countries.

Authors:  Yiqing Xia; Rachael M Milwid; Arnaud Godin; Marie-Claude Boily; Leigh F Johnson; Kimberly Marsh; Jeffrey W Eaton; Mathieu Maheu-Giroux
Journal:  AIDS       Date:  2021-03-01       Impact factor: 4.177

6.  Validity of behavioral measures as proxies for HIV-related outcomes.

Authors:  Rick S Zimmerman; Donald E Morisky; Lana Harrison; Hayley D Mark
Journal:  J Acquir Immune Defic Syndr       Date:  2014-08-15       Impact factor: 3.731

7.  Maintenance of behavioral change in a cohort of homosexually active men.

Authors:  J McCusker; A M Stoddard; M McDonald; J G Zapka; K H Mayer
Journal:  AIDS       Date:  1992-08       Impact factor: 4.177

8.  Sexual Activity Without Condoms and Risk of HIV Transmission in Serodifferent Couples When the HIV-Positive Partner Is Using Suppressive Antiretroviral Therapy.

Authors:  Alison J Rodger; Valentina Cambiano; Tina Bruun; Pietro Vernazza; Simon Collins; Jan van Lunzen; Giulio Maria Corbelli; Vicente Estrada; Anna Maria Geretti; Apostolos Beloukas; David Asboe; Pompeyo Viciana; Félix Gutiérrez; Bonaventura Clotet; Christian Pradier; Jan Gerstoft; Rainer Weber; Katarina Westling; Gilles Wandeler; Jan M Prins; Armin Rieger; Marcel Stoeckle; Tim Kümmerle; Teresa Bini; Adriana Ammassari; Richard Gilson; Ivanka Krznaric; Matti Ristola; Robert Zangerle; Pia Handberg; Antonio Antela; Sris Allan; Andrew N Phillips; Jens Lundgren
Journal:  JAMA       Date:  2016-07-12       Impact factor: 56.272

9.  National HIV testing and diagnosis coverage in sub-Saharan Africa: a new modeling tool for estimating the 'first 90' from program and survey data.

Authors:  Mathieu Maheu-Giroux; Kimberly Marsh; Carla M Doyle; Arnaud Godin; Charlotte Lanièce Delaunay; Leigh F Johnson; Andreas Jahn; Kouamé Abo; Francisco Mbofana; Marie-Claude Boily; David L Buckeridge; Catherine A Hankins; Jeffrey W Eaton
Journal:  AIDS       Date:  2019-12-15       Impact factor: 4.177

10.  The importance of assessing self-reported HIV status in bio-behavioural surveys.

Authors:  Lisa G Johnston; Miriam Lewis Sabin; Dimitri Prybylski; Keith Sabin; Willi McFarland; Stefan Baral; Andrea A Kim; H Fisher Raymond
Journal:  Bull World Health Organ       Date:  2016-04-25       Impact factor: 9.408

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.