Joint Research Conference
June 24-26, 2014
Exploration of Repeated Measures Logistic Regression for Medication AdherenceMedication non-adherence has been estimated to generate $290 billion annually in medical costs (NEHI, 2009). Not only is this an extremely expensive dilemma, it has consequences including worsening conditions, additional co-morbid diseases, and increased hospitalizations and readmissions. In fact, it is estimated that 33% to 69% of medication-related hospital admissions are due to poor medication adherence (Osterberg and Blaschke, 2005). My current research focus investigates deeper exploration into medication adherence for patients with chronic diseases. Binary data of patients meeting a 70% medication adherence was analyzed over quarterly time frames. Repeated measures logistic regression models are tested for this analysis. Data from medical databases from a regional health plan was used as subject matter. Limitations of using this source of data are explored. SAS® 9.2 is used for all statistical analysis.