Medication adherence as a predictor of 30-day hospital readmissions

• Published in: Patient preference and adherence Vol. 11; pp. 801 - 810
• Main Authors: Rosen, Olga Z, Fridman, Rachel, Rosen, Bradley T, Shane, Rita, Pevnick, Joshua M
• Format: Journal Article
• Language: English
• Published: New Zealand Dove Medical Press Limited 01.01.2017; Dove Medical Press
• Subjects: Care transitions; Causes of; Hospitalization; Management; MMAS-4; Nonadherence; Original Research; Patient compliance; Patient outcomes; Predictive model; Prognosis; Recurrence (Disease); Rehospitalization; Risk factors; Transition of care; United States; MMAS-4; nonadherence; rehospitalization; predictive model; care transitions; transition of care
• ISSN: 1177-889X; 1177-889X
• DOI: 10.2147/ppa.s125672

The aim of this study was to test whether patient medication adherence, a modifiable risk factor obtainable at hospital admission, predicts readmission within 30 days. We used a retrospective cohort study design to test whether patient medication adherence to all chronic medications, as determined by the 4-item Morisky Medication Adherence Scale (MMAS-4) administered by a pharmacist at the time of hospital admission, predicts 30-day readmissions. We compared readmission rates among 385 inpatients who had their adherence assessed from February 1, 2013, to January 31, 2014. Multiple logistic regression was used to examine the benefit of adding medication adherence to previously published variables that have been shown to predict 30-day readmissions. Patients with low and intermediate adherence (combined) had readmission rates of 20.0% compared to a readmission rate of 9.3% for patients with high adherence ( =0.005). By adding MMAS-4 data to previously published variables that have been shown to predict 30-day readmissions, we found that patients with low and intermediate medication adherence had an adjusted 2.54-fold higher odds of readmission compared to those in patients with high adherence (95% confidence interval [CI]: 1.32-4.90, =0.005). The model's predictive power, as measured by the -statistic, improved from 0.65 to 0.70 after adding adherence. Because medication adherence assessed at hospital admission was independently associated with 30-day readmission risk, it offers potential for targeting interventions to improve adherence.