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.

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.

A mixed methods evaluation of medication reconciliation in the primary care setting.

OBJECTIVES: To understand the extent to which behaviors consistent with high quality medication reconciliation occurred in primary care settings and explore barriers to high quality medication reconciliation. DESIGN: Fully mixed sequential equal status design including ethnographic observations, semi-structured interviews, and surveys. SETTING: Primary care practices within an integrated healthcare delivery system in the United States. PARTICIPANTS: We conducted 170 observations of patient encounters across 15 primary care clinics, 48 semi-structured interviews with staff, and 10 semi-structured interviews with patients. We also sent out surveys to 2,541 eligible staff with 616 responses (24% response rate) and to 5,132 eligible patients with 577 responses (11% response rate). RESULTS: Inconsistency emerged as a major barrier to effective medication reconciliation. This inconsistency was present across a variety of factors such as the lack of standardized workflows for conducting medication reconciliation, a lack of knowledge about medication and the process of medication reconciliation, varying levels of importance ascribed to medication reconciliation, and inadequate integration of medication reconciliation into clinical workflows. Findings were generally consistent across all data collection methods. CONCLUSION: We have identified several barriers which impact the process of medication reconciliation in primary care settings. Our key finding is that the process of medication reconciliation is plagued by inconsistencies which contribute to inaccurate medication lists. These inconsistencies can be broken down into several categories (standardization, knowledge, importance, and inadequate integration) which can be targets for future studies and interventions.

A mixed methods evaluation of the implementation of pharmacy services within a team-based at-home care program.

BACKGROUND: Sub-optimal medication use results in significant avoidable morbidity, mortality, and costs. Programs, such as comprehensive medication management (CMM), can help to optimize medication use, improve outcomes, and reduce costs. However, implementing programs like CMM can be challenging and differences in how CMM has been implemented may be responsible for observed heterogeneity in the outcomes associated with CMM. OBJECTIVE(S): Describe the implementation strategies utilized in implementing CMM telephonically within a team-based at-home care program and evaluate the implementation process. METHODS: The implementation of CMM was facilitated using various implementation strategies including: develop educational material and conduct training, change record system, audit and feedback, learning collaborative, quality monitoring, readiness assessment, and implementation team formation. The impact of these strategies as well as pharmacist and team member perspectives on the implementation of CMM were examined using mixed methods and guided by Proctor's conceptual model for implementation. RESULTS: The pharmacists felt that most of the implementation strategies used to facilitate consistent delivery of CMM were useful, but were unable to successfully implement all of them. Despite this, significant increases in fidelity to steps of the patient care process was achieved. The pharmacists felt that CMM was acceptable, appropriate for patient population, and feasible, but barriers (e.g., the telephonic and remote nature of the practice, the evolving nature of the program, and the difficulty in coordinating care between the patients primary care team and the care team affiliated with the program) affected the feasibility and organizational fit of CMM within this team-based, at-home care program. General pharmacy services, however, were seen as acceptable, appropriate, and feasible. CONCLUSION: Deliberately designing and utilizing a variety of implementation strategies can facilitate the implementation of CMM and significantly increase fidelity to the patient care process. To improve feasibility and organizational fit of CMM, additional barriers and challenges need to be addressed.

Implementation of a patient-facing genomic test report in the electronic health record using a web-application interface.

BACKGROUND: Genomic medicine is emerging into clinical care. Communication of genetic laboratory results to patients and providers is hampered by the complex technical nature of the laboratory reports. This can lead to confusion and misinterpretation of the results resulting in inappropriate care. Patients usually do not receive a copy of the report leading to further opportunities for miscommunication. To address these problems, interpretive reports were created using input from the intended end users, patients and providers. This paper describes the technical development and deployment of the first patient-facing genomic test report (PGR) within an electronic health record (EHR) ecosystem using a locally developed standards-based web-application interface. METHODS: A patient-facing genomic test report with a companion provider report was configured for implementation within the EHR using a locally developed software platform, COMPASS™. COMPASS™ is designed to manage secure data exchange, as well as patient and provider access to patient reported data capture and clinical display tools. COMPASS™ is built using a Software as a Service (SaaS) approach which exposes an API that apps can interact with. RESULTS: An authoring tool was developed that allowed creation of patient-specific PGRs and the accompanying provider reports. These were converted to a format that allowed them to be presented in the patient portal and EHR respectively using the existing COMPASS™ interface thus allowing patients, caregivers and providers access to individual reports designed for the intended end user. CONCLUSIONS: The PGR as developed was shown to enhance patient and provider communication around genomic results. It is built on current standards but is designed to support integration with other tools and be compatible with emerging opportunities such as SMART on FHIR. This approach could be used to support genomic return of results as the tool is scalable and generalizable.

Cost-Effectiveness of Decision Support Strategies in Acute Bronchitis.

BACKGROUND: A recent clinical trial suggests that printed (PDS) and computer decision support (CDS) interventions are safe and effective in reducing antibiotic use in acute bronchitis relative to usual care (UC). OBJECTIVE: Our aim was to evaluate the cost-effectiveness of decision support interventions in reducing antibiotic use in acute bronchitis. DESIGN: We conducted a clinical trial-based cost-effectiveness analysis comparing UC, PDS and CDS for management of acute bronchitis. We assumed a societal perspective, 5-year program duration and 30-day time horizon. PATIENTS: The U.S. population aged 13-64 years presenting with acute bronchitis in the ambulatory setting. INTERVENTIONS: Printed and computer decision support interventions relative to usual care. MAIN MEASURES: Cost per antibiotic prescription safely avoided. KEY RESULTS: In the base case, PDS dominated UC and CDS, with lesser total costs (PDS: $2,574, UC: $2,768, CDS: $2,805) and fewer antibiotic prescriptions (PDS: 3.79, UC: 4.60, CDS: 3.95) per patient over 5 years. In one-way sensitivity analyses, PDS dominated UC across all parameter values, except when antibiotics reduced work loss by ≥ 1.9 days or the probability of hospitalization within 30 days was ≥ 0.9 % in PDS (base case: 0.2 %) or ≤ 0.4 % in UC (base case: 1.0 %). The dominance of PDS over CDS was sensitive both to probability of hospitalization and plausible variation in the adjusted odds of antibiotic use in both strategies. CONCLUSIONS: A PDS strategy to reduce antibiotic use in acute bronchitis is less costly and more effective than both UC and CDS strategies, although results were sensitive to variation in probability of hospitalization and the adjusted odds of antibiotic use. This simple, low-cost, safe, and effective intervention would be an economically reasonable component of a multi-component approach to address antibiotic overuse in acute bronchitis.