Literature DB >> 21382512

What predicts non-retention in microbicide trials?

Paul J Feldblum1, Vera Halpern, Che-Chin Lie, Orikomaba Obunge, Folasade Ogunsola, William Ampofo, Kofi Opoku.   

Abstract

BACKGROUND: Poor retention can reduce study power and thwart randomization, possibly resulting in biased estimates of effect. Some HIV prevention trials conducted in developing countries have been challenged by high loss to follow-up. Identifying factors associated with non-retention could lead to recruitment of women more likely to remain in the trial, potentially yielding greater efficiency and validity.
METHODS: We summarized retention rates and, using Cox regression, evaluated factors associated with non-retention in four trials of two candidate vaginal microbicides (1% C31G or SAVVY® and 6% cellulose sulfate or CS) conducted in multiple sub-Saharan African countries. We defined retention as completion of the trial, including those with an HIV outcome. Non-retention comprised participants randomized to a study arm who were either lost to follow-up or discontinued prior to infection with HIV.
RESULTS: 7,367 women were enrolled and randomized in the four trials; 7,086 are included in this analysis. 1,514 (21.4%) participants were either lost to follow-up or had early discontinuation. In the final Cox model, the following baseline factors were associated with non-retention: younger age (hazard ratio [HR] = 0.95); less education (HR = 0.97); condom use at last sex (HR = 1.18); larger number of sex acts in a typical week (HR = 1.01); and baseline candidiasis or bacterial vaginosis (HR = 1.12).
CONCLUSIONS: Younger and less educated women were more difficult to retain in these microbicide trials. But these same traits may be associated with higher HIV infection rates. Enhanced retention methods focused on those at highest risk of non-retention and possibly infection will optimize study efficiency and validity.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21382512     DOI: 10.1016/j.cct.2011.03.008

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  9 in total

1.  Retention of clinical trial participants in a study of nongonococcal urethritis (NGU), a sexually transmitted infection in men.

Authors:  Jeannette Y Lee; Shelly Y Lensing; Jane R Schwebke
Journal:  Contemp Clin Trials       Date:  2012-01-12       Impact factor: 2.226

2.  Characteristics of participants consenting versus declining follow-up for up to 10 years in a randomized clinical trial.

Authors:  Alice J Sheffet; Jenifer H Voeks; Ariane Mackey; William Brooks; Wayne M Clark; Michael D Hill; Virginia J Howard; Susan E Hughes; MeeLee Tom; Mary E Longbottom; Thomas G Brott
Journal:  Clin Trials       Date:  2015-06-29       Impact factor: 2.486

3.  Reducing lost to follow-up in a large clinical trial of prevention of mother-to-child transmission of HIV: the Breastfeeding, Antiretrovirals and Nutrition study experience.

Authors:  Christopher J Sellers; Hana Lee; Charles Chasela; Dumbani Kayira; Alice Soko; Innocent Mofolo; Sascha Ellington; Michael G Hudgens; Athena P Kourtis; Caroline C King; Denise J Jamieson; Charles van der Horst
Journal:  Clin Trials       Date:  2014-12-17       Impact factor: 2.486

4.  The Motivations and Experiences of Young Women in a Microbicide Trial in the USA and Puerto Rico.

Authors:  Rebecca Giguere; Gregory D Zimet; Jessica A Kahn; Curtis Dolezal; Cheng-Shiun Leu; Marina Mabragaña; Ian McGowan; Alex Carballo-Diéguez
Journal:  World J AIDS       Date:  2013-09

5.  Influences on visit retention in clinical trials: insights from qualitative research during the VOICE trial in Johannesburg, South Africa.

Authors:  Busisiwe Magazi; Jonathan Stadler; Sinead Delany-Moretlwe; Elizabeth Montgomery; Florence Mathebula; Miriam Hartmann; Ariane van der Straten
Journal:  BMC Womens Health       Date:  2014-07-28       Impact factor: 2.809

6.  Factors associated with vaccination completion and retention among HIV negative female sex workers enrolled in a simulated vaccine efficacy trial in Kampala, Uganda.

Authors:  Yunia Mayanja; Andrew Abaasa; Gertrude Namale; Gershim Asiki; Matthew A Price; Anatoli Kamali
Journal:  BMC Infect Dis       Date:  2019-08-16       Impact factor: 3.667

7.  Cognitive mapping: using local knowledge for planning health research.

Authors:  Jonathan Stadler; Charles Dugmore; Emilie Venables; Catherine MacPhail; Sinead Delany-Moretlwe
Journal:  BMC Med Res Methodol       Date:  2013-07-26       Impact factor: 4.615

8.  HIV incidence in a cohort of women at higher risk in Beira, Mozambique: prospective study 2009-2012.

Authors:  Karine Dubé; Arlinda Zango; Janneke van de Wijgert; Ivete Meque; Josefo J Ferro; Fidelina Cumbe; Pai Lien Chen; Sabrina Ma; Erik Jolles; Afonso Fumo; Merlin L Robb; Paul J Feldblum
Journal:  PLoS One       Date:  2014-01-27       Impact factor: 3.240

9.  Knowledge, Attitudes, and Experiences of HIV Pre-Exposure Prophylaxis (PrEP) Trial Participants in Botswana.

Authors:  Lauren Toledo; Eleanor McLellan-Lemal; Faith L Henderson; Poloko M Kebaabetswe
Journal:  World J AIDS       Date:  2015-02-12
  9 in total

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