Jun 23, 2011
Statistical modeling for medication adherence
Patients not adhering to their medication regimens has been shown in multiple studies to yield sub-optimal health outcomes as well as decreased sales opportunities for pharmaceutical companies. Various CRM efforts over the years have tried to address this. Now a new tool may be avaialable.
There was a fascinating article in the NY Times Health Blog recently about Fair Isaac (FICO)creating a logistic regression style "medication adherence score" much like their credit score, that predicts likelihood to adhere based on demographic, financial, and transactional variables. For example: Are sixty-something
middle class Midwestern grandparents with low net worth particularly non-adherent?
If a score comes up as such, would a pharmaceutical company target them with a an extra adherence mailer, kit, or a premium adherence pill bottle? Or call center support? Since these are expensive resources, targeting using a validated model score seems attractive.
Of course, these resources could be offered to anyone, but could be promoted selectively.
I think likely the modeling score was validated on historical data. It will be fascinating to see how accuracy is tracked moving forward. Also, whether pharmaceutical firms or communications agencies will adopt it.