BACKGROUND: Biased enrollment and attrition compromise the power of clinical trials and limit generalizability of findings. We identify predictors of enrollment and retention for HIV-discordant couples enrolled in prospective studies in Zambia. PRINCIPAL FINDINGS: A total of 1995 discordant couples were invited to enroll. Predictors of nonenrollment, loss to follow-up, and missed appointments were evaluated using multivariate models. MF couples were more likely to be eligible and to enroll and less likely to be lost to follow-up than FM couples. Substantial losses to follow-up occurred between testing and enrollment (21.3% of MF and 28.1% of FM) and between enrollment and the first follow-up visit (24.9% of MF and 30.5% of FM). Among MF and FM couples, residence far from the clinic, younger age, and women's age at first intercourse </=17 years were predictive of attrition. No income, </=2 lifetime sex partners, no history of sexually transmitted infection in women, and recent extramarital contact in their male partners predicted attrition in FM couples. CONCLUSIONS: Discordant couples are critical to observational studies and clinical trials to prevent male-to-female and female-to-male transmission. Retention biases must be taken into account during analysis. Run-in designs that delay randomization may improve retention in clinical trials.
BACKGROUND: Biased enrollment and attrition compromise the power of clinical trials and limit generalizability of findings. We identify predictors of enrollment and retention for HIV-discordant couples enrolled in prospective studies in Zambia. PRINCIPAL FINDINGS: A total of 1995 discordant couples were invited to enroll. Predictors of nonenrollment, loss to follow-up, and missed appointments were evaluated using multivariate models. MF couples were more likely to be eligible and to enroll and less likely to be lost to follow-up than FM couples. Substantial losses to follow-up occurred between testing and enrollment (21.3% of MF and 28.1% of FM) and between enrollment and the first follow-up visit (24.9% of MF and 30.5% of FM). Among MF and FM couples, residence far from the clinic, younger age, and women's age at first intercourse </=17 years were predictive of attrition. No income, </=2 lifetime sex partners, no history of sexually transmitted infection in women, and recent extramarital contact in their male partners predicted attrition in FM couples. CONCLUSIONS: Discordant couples are critical to observational studies and clinical trials to prevent male-to-female and female-to-male transmission. Retention biases must be taken into account during analysis. Run-in designs that delay randomization may improve retention in clinical trials.
Authors: Mark J Siedner; Alexander Lankowski; Alexander C Tsai; Conrad Muzoora; Jeffrey N Martin; Peter W Hunt; Jessica E Haberer; David R Bangsberg Journal: AIDS Date: 2013-06-01 Impact factor: 4.177
Authors: Colleen S Kraft; Debby Basu; Paulina A Hawkins; Peter T Hraber; Elwyn Chomba; Joseph Mulenga; William Kilembe; Naw H Khu; Cynthia A Derdeyn; Susan A Allen; Olivier Manigart; Eric Hunter Journal: Retrovirology Date: 2012-03-20 Impact factor: 4.602
Authors: Veena G Billioux; Mary K Grabowski; Joseph Ssekasanvu; Steven J Reynolds; Amanda Berman; Jeremiah Bazaale; Eshan U Patel; Eva Bugos; Anthony Ndyanabo; Alice Kisakye; Joseph Kagaayi; Ronald H Gray; Gertrude Nakigozi; Robert Ssekubugu; Fred Nalugoda; David Serwadda; Maria J Wawer; Larry W Chang Journal: AIDS Date: 2018-03-27 Impact factor: 4.177
Authors: Kristin M Wall; William Kilembe; Bellington Vwalika; Lisa B Haddad; Naw Htee Khu; Ilene Brill; Udodirim Onwubiko; Elwyn Chomba; Amanda Tichacek; Susan Allen Journal: J Womens Health (Larchmt) Date: 2017-08 Impact factor: 2.681
Authors: Jianming Tang; Rakhi Malhotra; Wei Song; Ilene Brill; Liangyuan Hu; Paul K Farmer; Joseph Mulenga; Susan Allen; Eric Hunter; Richard A Kaslow Journal: PLoS One Date: 2010-03-10 Impact factor: 3.240
Authors: Naw H Khu; Bellington Vwalika; Etienne Karita; William Kilembe; Roger A Bayingana; Deborah Sitrin; Heidi Roeber-Rice; Emily Learner; Amanda C Tichacek; Lisa B Haddad; Kristin M Wall; Elwyn N Chomba; Susan A Allen Journal: Contraception Date: 2012-11-12 Impact factor: 3.375