Challenge

Health plan disenrollment in commercial insurance databases occurs frequently and for heterogeneous reasons, but whether disenrollment is informatively censored by health status had not been systematically quantified in a large US commercial claims database.

Solution

Target RWE and collaborators analyzed 2 million patient-years of commercial insurance data to characterize predictors of within-year and end-of-year disenrollment, finding that within-year disenrollment is driven by health status while end-of-year disenrollment reflects plan characteristics.

Impact

Establishing that within-year disenrollment is informatively censored by health status provides Target RWE and pharma partners with the evidence base for selecting and implementing appropriate censoring adjustment methods in commercial claims studies.