title: Evolving Patient Compliance Trends: Integrating Clinical, Insurance, and Extrapolated Socioeconomic Data.
abstract: Efforts toward improving patient compliance in medication focus on either identifying trends in patient features or studying changes through an intervention. Our study seeks to provide an important link between these two approaches through defining trends of evolving compliance. In addition to using clinical covariates provided through insurance claims and health records, we also extracted census based data to provide socioeconomic covariates such as income and population density. Through creating quadrants based on periods of medicine intake, we derive several novel definitions of compliance. These definitions revealed additional compliance trends through considering refill histories later in a patient's length of therapy. These results suggested that the link between patient features and compliance includes a temporal component, and should be considered in policymaking when identifying compliant subgroups.
authors.affiliation: Geisinger Health System, Danville, PA.
authors.forename: Joseph J
authors.initials: JJ
authors.lastname: Klobusicky
authors.affiliation: Geisinger Health System, Danville, PA.
authors.forename: Arun
authors.initials: A
authors.lastname: Aryasomayajula
authors.affiliation: Geisinger Health System, Danville, PA.
authors.forename: Nicholas
authors.initials: N
authors.lastname: Marko
mesh_terms: D066264:Datasets as Topic; D011307:Drug Prescriptions; D057286:Electronic Health Records; D006801:Humans; D007182:Income; D007344:Insurance Claim Reporting; D010349:Patient Compliance; D011153:Population; D014481:United States