Medication Adherence Patterns Among Patients with Multiple Serious Mental and Physical Illnesses

• DOI: 10.1007/s12325-018-0700-6
• Publication Date: 2018-05-03T07:31:59Z
• Authors: Joanna P. MacEwan; Alison R. Silvers...; Jason Shafrin; Darius N. Lakdawalla; Ainslie Hatch; Felicia M. Forma
• Keywords: Discontinuation; Medication Adherence

Patients with mental and physical health conditions are complex to treat often use multiple medications. It is unclear how adherence one medication predicts others. A predictive relationship could permit less expensive monitoring if overall be predicted through tracking a single medication.To test this hypothesis, we examined whether patients illnesses have similar trajectories across Specifically, conducted retrospective cohort analysis using insurance claims data for enrollees who were diagnosed serious illness, initiated an atypical antipsychotic, as well SSRI (to illness), biguanides type 2 diabetes), or ACE inhibitor hypertension). Using group-based trajectory modeling, estimated patterns based on monthly estimates of the proportion days covered each medication. We measured value antipsychotic predictions patient characteristics assessed their relative strength R-squared goodness fit metric.Within our sample 431,591 patients, four groups observed: non-adherent, gradual discontinuation, stop-start, adherent. The accuracy predicting inhibitors, biguanides, SSRIs was 44.5, 49.6%, respectively (all p < 0.001 vs. random). also found that information antipsychotics better predictor these three medications than would case demographic clinical alone.Among chronic illnesses, useful predictors patient's SSRIs.Otsuka Pharmaceutical Development & Commercialization, Inc.