Linking Technology to Address the Social and Medical Determinants of Health for Safe Medicines Use.

OBJECTIVES: Both social and medical factors can negatively affect health outcomes, especially in vulnerable populations. To address these 2 types of factors in a postdischarge population, 2 nonprofit organizations collaborated to combine their novel decision support programs and address the question: Could combined programs have greater potential for improved health outcomes? METHODS: HomeMeds, a social health program in which trained social services staff make home visits to vulnerable clients, was combined with MedSafety Scan, a medical health, clinical decision support tool. Data captured in the home visits were entered into the HomeMeds and MedSafety Scan programs to detect those patients at the greatest risk of adverse health outcomes because of medications. RESULTS: Patients (n = 108; mean age, 77 years; multiple comorbidities and LACE+ (length of stay, acuity, comorbidities, emergency department visits [hospital index]; score >29) received a postdischarge home visit by trained social services staff. The number of drugs reported as being taken was 10.4 ± 5.1 (range, 1-26), which was less than prescribed at discharge in 62% of patients (range, 1-8). Both programs detected a serious risk of medication-induced harm, mostly from different causes such as drug-drug interactions or for use not recommended in the elderly. CONCLUSIONS: Combined analysis of data from 2 novel decision support programs yielded complementary findings that together address both medical and social determinants of health. These have the potential to reduce medication-induced harm, costly rehospitalization, and/or emergency department visits and support the further evaluation of this combined approach in other vulnerable populations such as the seriously mentally ill, frail, those confined to home, opioid dependent, or otherwise impaired.

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

BACKGROUND/OBJECTIVES: Medication 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. DESIGN: Retrospective cohort study using propensity score matching. SETTING: Urban academic medical center and surrounding community. PARTICIPANTS: Intervention 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. INTERVENTION: Following 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. MEASUREMENTS: Thirty-day readmissions (primary outcome), 60- and 90-day readmissions, and 30-day emergency department (ED) visits (secondary outcomes) to UCLA Health. RESULTS: Among 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 days compared with matched-control patients (10.6%; 95% confidence interval [CI] = 7.9-13.2) vs 21.4%; 95% CI = 19.8-23.0; P value < .001). CONCLUSION: A home visit conducted by a health coach combined with a medication review by a primary care-based pharmacist may prevent subsequent inpatient utilization.