A Collaboration Among Primary Care-Based Clinical Pharmacists and Community-Based Health Coaches.

Background/objectivesMedication discrepancies and adverse drug events are common following hospital discharge. This study evaluates whether a collaboration between community-based health coaches and primary care-based pharmacists was associated with a reduction in inpatient utilization following hospitalization.DesignRetrospective cohort study using propensity score matching.SettingUrban academic medical center and surrounding community.ParticipantsIntervention patients (n = 494) were adults aged 65 and older admitted to the University of California, Los Angeles (UCLA) Ronald Reagan Medical Center during the study period and who met study inclusion criteria. A matched-control group was composed of patients with similar demographic and clinical characteristics who were admitted to the study site during the study period but who received usual care (n = 2,470). A greedy algorithm approach was used to conduct the propensity score match.InterventionFollowing acute hospitalization, a health coach conducted a home visit and transmitted all medication-related information to a pharmacist based in a primary care practice. The pharmacist compared this information with the patient's electronic medical record medication list and consulted with the patient's primary care provider to optimize medication management.MeasurementsThirty-day readmissions (primary outcome), 60- and 90-day readmissions, and 30-day emergency department (ED) visits (secondary outcomes) to UCLA Health.ResultsAmong 494 patients who received the intervention, 307 (62.1%) were female with a mean age of 83.0 years (interquartile range [IQR] = 76-90 years). Among 2,470 matched-control patients, 1,541 (62.4%) were female with a mean age of 82.7 years (IQR = 74.9-89.5 years). For the propensity score match, standardized mean differences were below .1 for 23 of 25 variables, indicating good balance. Patients who received this intervention had a significantly lower predicted probability of being readmitted within 30