TY - JOUR
T1 - Predictors of retention among men attending STI clinics in HIV prevention programs and research
T2 - A case control study in Pune, India
AU - Sahay, Seema
AU - Gupte, Nikhil
AU - Brahme, Radhika G.
AU - Nirmalkar, Amit
AU - Bembalkar, Shilpa
AU - Bollinger, Robert C.
AU - Mehendale, Sanjay
N1 - Funding Information:
This work was supported by Indian Council Medical Research, New Delhi, India. We thank the Director, National AIDS Research Institute (NARI) for continued support. We acknowledge the support received from the NARI institutional staff and the project staff of the PAVE, HIVNET and Acute Pathogenesis studies for counseling, clinical care of study participants, community work, laboratory work, data management, and statistical support from National AIDS Research Institute, Pune and Johns Hopkins University, Baltimore. We also thank B.J. Medical College, Pune, and Pune Municipal Corporation for facilitating clinical collaborations to conduct these studies. We acknowledge the support from Sassoon General Hospitals, Dr. Kotnis Municipal Dispensary and National Institute of Virology where the study clinics were situated in Pune. Finally we sincerely thank the participants who took part in the study.
PY - 2011
Y1 - 2011
N2 - Background: Retention is critical in HIV prevention programs and clinical research. We studied retention in the three modeled scenarios of primary prevention programs, cohort studies and clinical trials to identify predictors of retention. Methodology/Principal Findings: Men attending Sexually Transmitted Infection (STI) clinics (n = 10, 801) were followed in a cohort study spanning over a ten year period (1993-2002) in Pune, India. Using pre-set definitions, cases with optimal retention in prevention program (n = 1286), cohort study (n = 940) and clinical trial (n = 896) were identified from this cohort. Equal number of controls matched for age and period of enrollment were selected. A case control analysis using conditional logistic regression was performed. Being employed was a predictor of lower retention in all the three modeled scenarios. Presence of genital ulcer disease (GUD), history of commercial sex work and living away from the family were predictors of lower retention in primary prevention, cohort study and clinical trial models respectively. Alcohol consumption predicted lower retention in cohort study and clinical trial models. Married monogamous men were less likely to be retained in the primary prevention and cohort study models. Conclusions/Significance: Predicting potential drop-outs among the beneficiaries or research participants at entry point in the prevention programs and research respectively is possible. Suitable interventions might help in optimizing retention. Customized counseling to prepare the clients properly may help in their retention.
AB - Background: Retention is critical in HIV prevention programs and clinical research. We studied retention in the three modeled scenarios of primary prevention programs, cohort studies and clinical trials to identify predictors of retention. Methodology/Principal Findings: Men attending Sexually Transmitted Infection (STI) clinics (n = 10, 801) were followed in a cohort study spanning over a ten year period (1993-2002) in Pune, India. Using pre-set definitions, cases with optimal retention in prevention program (n = 1286), cohort study (n = 940) and clinical trial (n = 896) were identified from this cohort. Equal number of controls matched for age and period of enrollment were selected. A case control analysis using conditional logistic regression was performed. Being employed was a predictor of lower retention in all the three modeled scenarios. Presence of genital ulcer disease (GUD), history of commercial sex work and living away from the family were predictors of lower retention in primary prevention, cohort study and clinical trial models respectively. Alcohol consumption predicted lower retention in cohort study and clinical trial models. Married monogamous men were less likely to be retained in the primary prevention and cohort study models. Conclusions/Significance: Predicting potential drop-outs among the beneficiaries or research participants at entry point in the prevention programs and research respectively is possible. Suitable interventions might help in optimizing retention. Customized counseling to prepare the clients properly may help in their retention.
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U2 - 10.1371/journal.pone.0017448
DO - 10.1371/journal.pone.0017448
M3 - Article
C2 - 21412414
AN - SCOPUS:79952604237
SN - 1932-6203
VL - 6
JO - PloS one
JF - PloS one
IS - 3
M1 - e17448
ER -