The use of natural language processing on narrative medication schedules to compute average weekly dose.

PURPOSE: Medications with non-standard dosing and unstandardized units of measurement make the estimation of prescribed dose difficult from pharmacy dispensing data. A natural language processing tool named the SIG extractor was developed to identify and extract elements from narrative medication instructions to compute average weekly doses (AWDs) for disease-modifying antirheumatic drugs. The goal of this paper is to evaluate the performance of the SIG extractor. METHOD: This agreement study utilized Veterans Health Affairs pharmacy data from 2008 to 2012. The SIG extractor was designed to extract key elements from narrative medication schedules (SIGs) for 17 select medications to calculate AWD, and these medications were categorized by generic name and route of administration. The SIG extractor was evaluated against an annotator-derived reference standard for accuracy, which is the fraction of AWDs accurately computed. RESULTS: The overall accuracy was 89% [95% confidence interval (CI) 88%, 90%]. The accuracy was ≥85% for all medications and route combinations, except for cyclophosphamide (oral) and cyclosporine (oral), which were 79% (95%CI 72%, 85%) and 66% (95%CI 58%, 73%), respectively. CONCLUSIONS: The SIG extractor performed well on the majority of medications, indicating that AWD calculated by the SIG extractor can be used to improve estimation of AWD when dispensed quantity or days' supply is questionable or improbable. The working model for annotating SIGs and the SIG extractor are generalized and can easily be applied to other medications. Copyright © 2016 John Wiley & Sons, Ltd.

A cluster-randomized trial of two implementation strategies to deliver audit and feedback in the EQUIPPED medication safety program.

OBJECTIVES: The Enhancing the Quality of Prescribing Practices for Older Adults Discharged from the Emergency Department (EQUIPPED) medication safety program involves three core components including provider education, clinical decision support, and audit and feedback using the American Geriatrics Society Beers Criteria to determine potentially inappropriate medications (PIMs). This study evaluated implementation of audit and feedback through a centralized informatics-based dashboard compared to academic detailing delivered one on one by an EQUIPPED champion. METHODS: In a cluster-randomized study (October 2019-September 2021), eight VA emergency department (EDs) implemented either the academic detailing (n = 4) or the dashboard (n = 4) strategy for the audit and feedback component of EQUIPPED. The primary outcome was the monthly proportion of PIMs prescribed to Veterans 65 years or older at ED discharge. Poisson regression was used to evaluate the proportion of PIMs prescribed 6 months prior to EQUIPPED implementation compared to 12 months following implementation. RESULTS: Eight VA ED sites successfully implemented the EQUIPPED program. During the 6-month baseline period, the academic detailing and dashboard sites had similar PIM prescribing rates of 8.01% for academic detailing versus 8.04% for dashboard (p = 0.90). Comparing 12 months of prescribing data after EQUIPPED implementation, the academic detailing group significantly improved PIM prescribing (7.07%) compared to the dashboard group (8.10%; odds ratio 1.14, 95% confidence interval 1.08-1.22, p ≤ 0.0001). Within the groups, two of the four academic detailing sites demonstrated statistically significant reductions in PIM prescribing. One of the four dashboard sites achieved nearly 50% relative reduction in PIM prescribing. CONCLUSIONS: Eight VA EDs successfully implemented the core components of the EQUIPPED program amid the unprecedented challenges posed by the COVID-19 pandemic. While the academic detailing approach to EQUIPPED audit and feedback was more effective at the group level to improve safe prescribing for older Veterans discharged from the ED, the trial suggests that dashboard-based audit and feedback is a reasonable strategy in resource-limited settings.

Use of a Medication Safety Audit and Feedback Tool in the Emergency Department Is Affected by Prescribing Characteristics.

BACKGROUND: The Enhancing Quality of Prescribing Practices for Older Veterans Discharged from the Emergency Department (EQUIPPED) program developed an audit and feedback health information technology (IT) solution with the intent to replace the in-person academic detailing service provided by the program. The EQUIPPED dashboard provides emergency department (ED) providers with a personalized view of their prescribing performance. OBJECTIVES: Here, we analyze the association between ED provider characteristics and viewership of the EQUIPPED dashboard, adding insight into strategies for addressing barriers to initial use. METHODS: We performed a retrospective analysis of EQUIPPED dashboard viewership among four Veterans Affairs (VA) EDs. We extracted quantitative data from user interaction logs to determine evidence of dashboard use. Provider characteristics and baseline potentially inappropriate medication (PIM) prescribing rate were extracted from the VA's Corporate Data Warehouse. Logistic regression was used to examine the association between dashboard use and provider characteristics. RESULTS: A total of 82 providers were invited to receive audit and feedback via the EQUIPPED dashboard. Among invited providers, 40 (48.7%) had evidence of at least 1 dashboard view during the 1-year feedback period. Adjusted analyses suggest that providers with a higher baseline PIM prescribing rate were more likely to use the dashboard (odds ratio [OR]: 1.22; 95% confidence interval [CI]: 1.01-1.47). Furthermore, providers at ED site D were more likely to use the dashboard in comparison to the other sites (OR: 9.99; 95% CI: 1.72-58.04) and reportedly had the highest site-level baseline PIM rate. CONCLUSION: Providers with lower PIM prescribing rates (i.e., <5%) receive communication from an integrated dashboard reminder system that they are "optimal prescribers" which may have discouraged initial attempts to view the dashboard. Site D had the highest baseline PIM rate, but further qualitative investigation is warranted to better understand why site D had the greatest users of the dashboard.

Development and implementation of a pharmacist-led telehealth medication management program for veterans receiving oral antineoplastic therapies through the MISSION Act.

PURPOSE: Veterans prescribed oral antineoplastic therapies (OATs) by community providers outside the Veterans Health Administration (VA) may lack access to comprehensive medication management. To address this, our multidisciplinary team developed and implemented a pharmacist-led telehealth medication management program for veterans prescribed OATs by community providers. SUMMARY: The program exclusively uses telehealth to connect veterans with a dedicated board-certified clinical oncology pharmacist who provides comprehensive medication management. The program is based on established pharmacy models found in the research literature. We developed a standard operating procedure, communication templates, patient education materials, and a suite of health information technology tools to help streamline pharmacy processes. The Consolidated Framework for Implementation Research was used to design implementation strategies to promote the adoption of the program. In the first year, 64 veterans from 3 VA medical centers were enrolled in the program. The oncology clinical pharmacist performed 342 encounters and 101 interventions. The program saved an estimated $200,724 in medication-related costs. The veterans we surveyed reported high levels of satisfaction with the pharmacy services provided by the program. CONCLUSION: The delivery of comprehensive medication management through telehealth is feasible from a healthcare system perspective and beneficial for patients. The board-certified oncology clinical pharmacist provided remote pharmacy services to Veterans across three sites in a large and rural service area for the VA. The program realized several benefits, including positive clinical outcomes, high levels of patient satisfaction, and cost savings on medication-related costs.