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
RCTs conducted by academic medical centers in the U.S.
Patients
Women with polycystic ovary syndrome or couples with unexplained infertility, 18–39 years of age.
Interventions
This study is not an intervention study, but the patients in the original RCTs were treated with any or combination of metformin, clomiphene citrate, letrozole, and gonadotropins.
Main Outcome Measure
Successful retention versus dropout during the RCTs.
Results
Race, ethnicity, 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, non-smokers, and those who reported current use of alcohol at the start of the trial, had higher retention rates.
Conclusion
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.