Predictors of participant retention in infertility treatment trials

Objective: To identify variables associated with retention (or dropout) in infertility clinical trials. Retention of subjects in randomized controlled clinical trials (RCTs) has received considerable attention, but there have been few consistent findings. Design: Secondary analysis of data from RCTs. Setting: Academic medical centers. Patient(s): Women with polycystic ovary syndrome (PCOS) or couples with unexplained infertility, aged 18-40 years. Intervention(s): This study is not an intervention study, but the patients in the original RCTs were treated with any or combination of metformin, clomiphene citrate (CC), letrozole, and gonadotropins. Main Outcome Measure(s): Successful retention versus dropout during the RCTs. Result(s): Race, ethnicity, body mass index (BMI), insurance coverage, history of smoking, and history of alcohol use were significantly associated with retention whether they were considered in bivariate analyses or a multivariable logistic model. Specifically, white race, higher income, having graduate degrees, normal weight, better insurance coverage, nonsmokers, and those who reported current use of alcohol at the start of the trial, had higher retention rates. Conclusion(s): We identified several additive and persistent predictors of retention that can be used to guide the conduct of RCTs and improve the retention rate. Given the limitation of our association analysis, methodologically sound and theoretically grounded research are warranted so that high quality data can be collected to improve our understanding on the causes of dropout. (C) 2015 by American Society for Reproductive Medicine.