Evaluation of pharmacist-led transition of care program in patients with acute coronary syndrome.

BACKGROUND: Guideline-directed medical therapies (GDMTs), initiated in-hospital and continued during the transition to outpatient care, are paramount to successful outcomes for patients with acute coronary syndrome (ACS). Incomplete discharge medication prescribing and delayed follow-up lead to worse cardiovascular outcomes. OBJECTIVES: We investigated a system of care using inpatient and outpatient clinical pharmacists to close GDMT gaps, ensure seamless transition to outpatient care, improve patient education, and optimize therapies. METHODS: We conducted a pre-post cohort analysis of patients with ACS pre- versus post-intervention to compare process metrics and key outcomes using electronic health record data. RESULTS: There were 181 and 135 patients in the pre- and post-intervention cohorts, respectively. Patients post-intervention were significantly more likely to have appropriately-timed follow-up visits scheduled with cardiology (79% vs. 51%, P < 0.0001) and primary care (57% vs. 43%, P = 0.01), to be discharged with prescriptions for P2Y12 inhibitors (87% vs. 64%, P < 0.0001), high dose statins (86% vs. 70%, P = 0.001), and beta blockers (87% vs. 76%, P = 0.01), and significantly less likely to have 30-day all-cause hospital readmissions (4% vs. 12%, P = 0.02) and emergency department (ED) visits (10% vs. 18%, P = 0.04). CONCLUSIONS: The integration of advanced practicing pharmacists into a cardiology team at transition and post-hospitalization resulted in improved rates of posthospital follow-up visits, optimization of GDMT medications, and significantly lower 30-day hospital readmission and ED utilization.

Pre-emptive pharmacogenomics implementation among polypharmacy patients 65 years old and older: a clinical pilot.

Aim: Pre-emptive testing of pharmacogenomic (PGx) variations has potential to improve medication safety and effectiveness; however, testing is not routine. Given the newfound payor coverage of multigene testing and the potential value of testing within aging patients, it is imperative to test local PGx testing capabilities, report results to patients and providers, and determine the value of testing. Materials & methods: We designed a randomized clinical pilot of a pre-emptive PGx testing process using the electronic health record compared with usual care among an aging primary care population. Results & conclusion: The impact of the program on prescribing patterns, healthcare utilization and costs of care will be evaluated. We hypothesize that implementation of a pre-emptive multigene PGx panel is feasible among elderly, polypharmacy, primary care patients, measured by the number of enrolled patients with PGx results entered in the medical record. Health system wide PGx implementation, including capacity needed to integrate these valuable results, is also described.

Medication use and comorbidities in an increasingly younger osteoarthritis population: an 18-year retrospective open-cohort study.

OBJECTIVES: As understanding of the pathogenesis and treatment strategies for osteoarthritis (OA) evolves, it is important to understand how patient factors are also changing. Our goal was to examine demographics and known risk factors of patients with OA over time. DESIGN: Open-cohort retrospective study using electronic health records. SETTING: Large US integrated health system with 7 hospitals, 2.6 million outpatient clinic visits and 97 300 hospital admissions annually in a mostly rural geographic region. PARTICIPANTS: Adult patients with at least two encounters and a diagnosis of OA or OA-relevant surgery between 2001 and 2018. Because of geographic region, over 96% of participants were white/Caucasian. INTERVENTIONS: None. PRIMARY AND SECONDARY OUTCOME MEASURES: Descriptive statistics were used to examine age, sex, body mass index (BMI), Charlson Comorbidity Index, major comorbidities and OA-relevant prescribing over time. RESULTS: We identified 290 897 patients with OA. Prevalence of OA increased significantly from 6.7% to 33.5% and incidence increased 37% (from 3772 to 5142 new cases per 100 000 patients per year) (p<0.0001). Percentage of females declined from 65.3% to 60.8%, and percentage of patients with OA in the youngest age bracket (18-45 years) increased significantly (6.2% to 22.7%, p<0.0001). The percentage of patients with OA with BMI ≥30 remained above 50% over the time period. Patients had low comorbidity overall, but anxiety, depression and gastro-oesophageal reflux disease showed the largest increases in prevalence. Opioid use (tramadol and non-tramadol) showed peaks followed by declines, while most other medications increased slightly in use or remained steady. CONCLUSIONS: We observe increasing OA prevalence and a greater proportion of younger patients over time. With better understanding of how characteristics of patients with OA are changing over time, we can develop better approaches for managing disease burden in the future.

Associations of Healthcare Utilization and Costs with Increasing Pain and Treatment Intensity Levels in Osteoarthritis Patients: An 18-Year Retrospective Study.

INTRODUCTION: Osteoarthritis (OA) is a complex disease, and prior studies have documented the health and economic burdens of patients with OA compared to those without OA. Our goal was to use two strategies to further stratify OA patients based on both pain and treatment intensity to examine healthcare utilization and costs using electronic records from 2001 to 2018 at a large integrated health system. METHODS: Adult patients with ≥1 pain numerical rating scale (NRS) and diagnosis of OA were included. Pain episodes of ≥90 days were defined as mild (0-3), moderate (4-6), or severe (7-10) based on initial NRS. Patients were initially classified as mild and moved to moderate-severe OA if any of eight treatment-based criteria were met. Outpatient visits (OP), emergency department visits (ED), inpatient days, and healthcare costs (both all-cause and OA-specific) were compared among pain levels and OA severity levels as frequencies and per-member-per-year rates, using generalized linear regression models adjusting for age, sex, and body mass index, with contrasts of p < 0.05 considered significant. RESULTS: We identified 127,656 patients, 92,576 with pain scores. Moderate and severe pain were associated with significantly higher rates of OA-related utilization and costs, and all-cause ED visits and pharmacy costs. Moderate-severe OA patients had significantly higher OA-related utilization and costs, and all-cause OP, ED and pharmacy costs. CONCLUSIONS: Pain and treatment intensity were both strongly associated with OA-related utilization but not consistently with all-cause utilization. Our results provide promising evidence of better criteria and approaches for predicting disease burden and costs in the future.