Improving medication safety practice at a community hospital: a focus on bar code medication administration scanning and pain reassessment.

INTRODUCTION: In the USA over 30% of medication errors occur at the point of administration. Among non-surgical patients in US hospitals exposed to opioids, 0.6% experience a severe opioid-related adverse event. In September 2018, Sierra View Medical Center identified two areas of opportunity for quality improvement: bedside bar code medication administration (BCMA) and pain reassessments. At baseline (April 2018 to September 2018) only 81% of medications were scanned prior to administration with pain reassessments completed only 41% of the time 1 hour postopioid administration. OBJECTIVE: To improve BCMA scanning rates (goal ≥95%) and pain reassessments within 1 hour postopioid administration (goal ≥90%). METHODS: Implementation methods included data transparency, weekly dashboards, education and plan-do-study-act (PDSA) cycles informed by feedback from key stakeholders. RESULTS: Following a series of PDSA cycle implementations, barcode medication administration (BCMA) scanning rates improved by 14% (from 81% to 95%) and pain reassessments improved by 50% (from 41% to 91%), sustained 17 months postproject implementation (October 2018 to February 2019). The number of adverse drug events (ADEs) related to administration errors decreased by 17% (estimated annual cost savings of $120 750-239 725 per year) and opioid-related ADEs decreased by 2.6% (estimated annual cost savings of $72 855-80 928 per year). CONCLUSION: Adopting John Kotter's model for change, developing performance dashboards and sustaining engagement among stakeholders on a weekly basis improved bar code medication scanning rates and pain reassessment compliance. The stakeholders created momentum for change in both practice and culture resulting in improved patient safety with a favourable financial impact.

ASHP national survey of pharmacy practice in hospital settings: Prescribing and transcribing-2019.

PURPOSE: Results of the 2019 ASHP national survey of pharmacy practice in hospital settings are presented. METHODS: Pharmacy directors at 4,863 general and children's medical/surgical hospitals in the United States were surveyed using a mixed-mode method of contact by email and mail. Survey completion was online, using an online survey application. IQVIA supplied data on hospital characteristics; the survey sample was drawn from the IMS Health hospital database. RESULTS: The response rate was 10.8%. Pharmacists are increasingly managing medication use in the areas of vancomycin therapy, antibiotic selection and dosing, and anticoagulation. Electronic health record (EHR) decision support is guiding prescribing, and nearly 50% of hospitals are customizing drug warnings. Adoption of compounding technology continues, with 43.6% of hospitals using technology in their sterile compounding processes. Nearly half of hospitals have active opioid stewardship programs, and pharmacists are leading these efforts. Specialty pharmacy operations are growing in health systems. Human resource commitments to support new services are increasing; however, vacancy rates for technicians are challenging. Staff credentialing continues to expand for pharmacist and technicians. CONCLUSION: Pharmacists continue to assume greater responsibility for writing medication orders, dosing, ordering laboratory tests, and monitoring outcomes. Health-system pharmacists are taking a leading role in addressing the opioid crisis, advancing safety in compounded sterile preparations through adoption of intravenous workflow technologies, and optimizing EHR applications to leverage clinical decision support tools to improve the safe prescribing and use of medications.

Optimizing Drug-Drug Interaction Alerts Using a Multidimensional Approach.

OBJECTIVES: Excessive alerts are a common concern associated with clinical decision support systems that monitor drug-drug interactions (DDIs). To reduce the number of low-value interruptive DDI alerts at our hospital, we implemented an iterative, multidimensional quality improvement effort, which included an interdisciplinary advisory group, alert metrics, and measurement of perceived clinical value. METHODS: Alert data analysis indicated that DDIs were the most common interruptive medication alert. An interdisciplinary alert advisory group was formed to provide expert advice and oversight for alert refinement and ongoing review of alert data. Alert data were categorized into drug classes and analyzed to identify DDI alerts for refinement. Refinement strategies included alert suppression and modification of alerts to be contextually aware. RESULTS: On the basis of historical analysis of classified DDI alerts, 26 alert refinements were implemented, representing 47% of all alerts. Alert refinement efforts resulted in the following substantial decreases in the number of interruptive DDI alerts: 40% for all clinicians (22.9-14 per 100 orders) and as high as 82% for attending physicians (6.5-1.2 per 100 orders). Two patient safety events related to alert refinements were reported during the project period. CONCLUSIONS: Our quality improvement effort refined 47% of all DDI alerts that were firing during historical analysis, significantly reduced the number of DDI alerts in a 54-week period, and established a model for sustained alert refinements.

Graphical timeline software for inpatient medication review.

MedHistory is a web-based software module that graphically displays medication usage (y-axis) against time (x-axis). We set out to examine whether MedHistory would improve clinician's interactions with the medical record system. The authors invited house-officers at our institution to complete a survey about inpatient medication administration before and after using MedHistory. Detailed logs were also kept for 1 year after the study period. Compared to the pre-intervention survey, the post-intervention survey found that reviewing medication history was easier (pre: 13.2% vs post: 32.4%, p = .008), that medication review now fit within resident workflow (38.9% vs 75.7%, p < .001), and that there was increased satisfaction with the electronic health records software (2.6% vs 29.7%, p = .002). Additionally, determining the timing (29% vs 50.1%, p = .045) and dosing history (21.1% vs. 43.2%, p = .036) of inpatient medication administration was easier with MedHistory. Anti-infective agents and drugs requiring frequent adjustments were the most commonly reviewed. A graphical timeline of inpatient medications (MedHistory) was met with favorable response across multiple areas, including efficiency, speed, safety, and workflow.

The Prevalence of Dose Errors Among Paediatric Patients in Hospital Wards with and without Health Information Technology: A Systematic Review and Meta-Analysis.

INTRODUCTION: The risk of dose errors is high in paediatric inpatient settings. Computerized provider order entry (CPOE) systems with clinical decision support (CDS) may assist in reducing the risk of dosing errors. Although a frequent type of medication error, the prevalence of dose errors is not well described. Dosing error rates in hospitals with or without CPOE have not been compared. OBJECTIVE: Our aim was to conduct a systematic review assessing the prevalence and impact of dose errors in paediatric wards with and without CPOE and/or CDS. METHODS: We systematically searched five databases to identify studies published between January 2000 and December 2017 that assessed dose error rates by medication chart audit or direct observation. RESULTS: We identified 39 studies, nine of which involved paediatric wards using CPOE with or without CDS. Studies of paediatric wards using paper medication charts reported approximately 8-25% of patients experiencing a dose error, and approximately 2-6% of medication orders and approximately 3-8% of dose administrations contained a dose error, with estimates varying by ward type. The nine studies of paediatric wards using CPOE reported approximately 22% of patients experiencing a dose error, and approximately 1-6% of medication orders and approximately 3-8% of dose administrations contained a dose error. Few studies provided data for individual wards. The severity and prevalence of harm associated with dose errors was rarely assessed and showed inconsistent results. CONCLUSIONS: Dose errors occur in approximately 1 in 20 medication orders. Hospitals using CPOE with or without CDS had a lower rate of dose errors compared with those using paper charts. However, few pre/post studies have been conducted and none reported a significant reduction in dose error rates associated with the introduction of CPOE. Future research employing controlled designs is needed to determine the true impact of CPOE on dosing errors among children, and any associated patient harm.

ASHP national survey of pharmacy practice in hospital settings: Prescribing and transcribing-2016.

PURPOSE: The results of the 2016 ASHP national survey of pharmacy practice in hospital settings are presented. METHODS: A stratified random sample of pharmacy directors at 1,315 general and children's medical-surgical hospitals in the United States were surveyed using a mixed-mode method offering a choice of completing a paper survey or an online survey. IMS Health supplied data on hospital characteristics; the survey sample was drawn from IMS's hospital database. RESULTS: The survey response rate was 29.8%. Drug policy development by pharmacy and therapeutics committees continues to be an important strategy for improving prescribing. Strict formulary systems are maintained in 63.0% of hospitals, and 89.7% of hospitals use clinical practice guidelines that include medications. Pharmacists have the authority to order laboratory tests in 89.9% of hospitals and order medications in 86.8% of hospitals. Therapeutic interchange policies are used in 89.2% of hospitals. Electronic health records (EHRs) have been implemented partially or completely in most hospitals (99.1%). Computerized prescriber-order-entry systems with clinical decision support are used in 95.6% of hospitals, and 92.6% of hospitals have barcode-assisted medication administration systems. Transitions-of-care programs are increasing in number, with 34.6% of hospitals now offering discharge prescription services. Pharmacists practice in 39.5% of hospital ambulatory or primary care clinics. The most common service offered by pharmacists to outpatients is anticoagulation management (26.0%). When pharmacists practice in ambulatory care clinics, 64.5% have prescribing authority through collaborative practice agreements. CONCLUSION: Pharmacists continue to expand their role in improving the prescribing of medications in both hospital and outpatient settings. The adoption of EHRs and medication-use technologies has contributed to this growth.

The incidence and severity of errors in pharmacist-written discharge medication orders.

Background Errors in discharge prescriptions are problematic. When hospital pharmacists write discharge prescriptions improvements are seen in the quality and efficiency of discharge. There is limited information on the incidence of errors in pharmacists' medication orders. Objective To investigate the extent and clinical significance of errors in pharmacist-written discharge medication orders. Setting 1000-bed teaching hospital in London, UK. Method Pharmacists in this London hospital routinely write discharge medication orders as part of the clinical pharmacy service. Convenient days, based on researcher availability, between October 2013 and January 2014 were selected. Pre-registration pharmacists reviewed all discharge medication orders written by pharmacists on these days and identified discrepancies between the medication history, inpatient chart, patient records and discharge summary. A senior clinical pharmacist confirmed the presence of an error. Each error was assigned a potential clinical significance rating (based on the NCCMERP scale) by a physician and an independent senior clinical pharmacist, working separately. Main outcome measure Incidence of errors in pharmacist-written discharge medication orders. Results 509 prescriptions, written by 51 pharmacists, containing 4258 discharge medication orders were assessed (8.4 orders per prescription). Ten prescriptions (2%), contained a total of ten erroneous orders (order error rate-0.2%). The pharmacist considered that one error had the potential to cause temporary harm (0.02% of all orders). The physician did not rate any of the errors with the potential to cause harm. Conclusion The incidence of errors in pharmacists' discharge medication orders was low. The quality, safety and policy implications of pharmacists routinely writing discharge medication orders should be further explored.

Comparison on Human Resource Requirement between Manual and Automated Dispensing Systems.

OBJECTIVE: This study was conducted to compare human resource requirement among manual, automated, and modified automated dispensing systems. METHODS: Data were collected from the pharmacy department at the 2100-bed university hospital (Siriraj Hospital, Bangkok, Thailand). Data regarding the duration of the medication distribution process were collected by using self-reported forms for 1 month. The data on the automated dispensing machine (ADM) system were obtained from 1 piloted inpatient ward, whereas those on the manual system were the average of other wards. Data on dispensing, returned unused medication, and stock management processes under the traditional manual system and the ADM system were from actual activities, whereas the modified ADM system was modeled. The full-time equivalent (FTE) of each model was estimated for comparison. RESULTS: The result showed that the manual system required 46.84 FTEs of pharmacists and 132.66 FTEs of pharmacy technicians. By adding pharmacist roles on screening and verification under the ADM system, the ADM system required 117.61 FTEs of pharmacists. Replacing counting and filling medication functions by ADM has decreased the number of pharmacy technicians to 55.38 FTEs. After the modified ADM system canceled the return unused medication process, FTEs requirement for pharmacists and pharmacy technicians decreased to 69.78 and 51.90 FTEs, respectively. CONCLUSIONS: The ADM system decreased the workload of pharmacy technicians, whereas it required more time from pharmacists. However, the increased workload of pharmacists was associated with more comprehensive patient care functions, which resulted from the redesigned work process.

5 Trends in Pharmacy Automation.

In the era of value-based purchasing and HCAHPS, the fundamental issue that hospitals face is how to stretch their resources to improve outcomes and the patient experience while containing and ultimately reducing costs. Pharmacy automation is helping hospitals to improve patient outcomes and reduce expenses for the hospital over the long term. By bringing automation into the hospital environment, the pharmacy staff are unleashed from the task of counting pills in the hospital basement, and their professional expertise can be repurposed so they can contribute to clinical and service-oriented operations. Technology changes in pharmacy automation are rapidly transforming the functions of pharmacy from the old-style, cart-fill operation and dispensing of drugs from the pharmacy to a new, highly efficient model. As hospitals adopt the following smart technologies, they are saving time and space, and increasing their functionality and revenue stream.

ASHP national survey on informatics: assessment of the adoption and use of pharmacy informatics in U.S. hospitals-2013.

PURPOSE: Results of the 2013 ASHP national survey on informatics are presented. METHODS: Pharmacy directors from all types and sizes of U.S. hospitals were included in the sample of 4893 individuals invited to participate in an online survey. The survey contained over 600 data elements that addressed the adoption and use of a variety of pharmacy informatics and technology. Data were analyzed by hospital type and size, accounting for sampling procedures and differences in response rate. RESULTS: Of the 4893 surveys distributed, 465 usable surveys were returned, yielding a response rate of 9.5%. Nearly 33% of hospitals reported having a complete electronic health record (EHR) (i.e., no paper charts). Adoption rates for computerized prescriber order entry, clinical decision support, electronic prescribing, and bar-code-assisted medication administration indicated that these technologies are clear priorities. Nearly half of respondents indicated using solely paper-based medication reconciliation processes, while almost as many reported using processes that combined electronic and paper methods. Overall, automated dispensing cabinets were more common in U.S. hospitals than were carousels and dispensing robots. The adoption of patient portals and personal health records is becoming common. Technologies identified as enablers of the Pharmacy Practice Model Initiative (PPMI) were found in at least 25% of hospitals. The average total number of pharmacy information technology full-time equivalents was 3.12. CONCLUSION: This survey found widespread use of pharmacy informatics and technology across the entire medication-use process. Considerable progress was demonstrated in meeting meaningful-use measures for EHRs and meeting the recommendations of the ASHP PPMI.

Effect of computerized prescriber order entry on pharmacy: experience of one health system.

PURPOSE: Pharmacists' satisfaction with a computerized prescriber order-entry (CPOE) system and the impact of CPOE on pharmacy workflows and order verification were investigated. SUMMARY: A mixed-method study was conducted to evaluate the implementation of a CPOE system in three hospitals of a large Michigan-based health system and early user experience with the system. Surveys of pharmacists before (n = 54) and after (n = 42) CPOE implementation indicated that they held generally positive expectations about CPOE prior to and during system implementation and continued to hold positive views about CPOE after several months of system use. In interviews and focus group discussions, pharmacists reported a number of important CPOE benefits, but they also cited challenges related to CPOE provider alerts, uncertainty about medication timing, and the need to support providers by serving as informal CPOE system trainers. Direct observation of pharmacists before and after CPOE implementation indicated decreases in both the rate of order clarification events (from 0.89 to 0.35 per hour, p < 0.001) and the average time spent per hour clarifying orders (from 4.75 to 2.11 minutes, p = 0.008). CONCLUSION: Several months after CPOE implementation, pharmacists indicated that several aspects of their workload had improved, including the process of medication order clarification, their ability to prioritize work, and their ability to move around within the hospital to respond to demand. However, pharmacists also noted that order ambiguity still existed and that the system needed to be optimized to gain efficiencies and increase clarity.

Design, implementation, and evaluation of a thrice-daily cartfill process.

PURPOSE: Efficiencies achieved through a redesign of the central pharmacy cartfill process at a large academic medical center are reported. SUMMARY: In an initiative to expand clinical pharmacy services in a budget-neutral manner, pharmacists at the University of Wisconsin Hospital and Clinics (UWHC) led the transition from a once-daily to a thrice-daily medication cartfill model designed to better align pharmacy operations with patterns of medication ordering, delivery, and order discontinuation. A pre-post analysis demonstrated several benefits of the shift to thrice-daily cartfill, including a 32.7% decrease in the mean daily number of extemporaneously prepared oral doses. Overall, the new cartfill process resulted in reduction in lead times for three of four peak delivery periods, roughly a 55-65% reduction. During the postimplementation period, the frequency of requests for missing medication doses through the electronic medical record (EMR) system increased from 1.13% to 1.43%; however, this increase may have been the result of improved nurse adherence to EMR protocols for requests for missing medications. CONCLUSION: Implementation of a thrice-daily cartfill process and ancillary changes at UWHC resulted in a 2.1% increase in cartfill doses dispensed, a 44.1% decrease in first doses dispensed, and a 42.9% decrease in the number of medications returned to the central pharmacy. This resulted in a reduction in waste within pharmacy operations and allowed for redeployment of two technician full-time equivalents to expand pharmacy services.

Improvement of medication event interventions through use of an electronic database.

PURPOSE: Patient safety enhancements achieved through the use of an electronic Web-based system for responding to adverse drug events (ADEs) are described. SUMMARY: A two-phase initiative was carried out at an academic pediatric hospital to improve processes related to "medication event huddles" (interdisciplinary meetings focused on ADE interventions). Phase 1 of the initiative entailed a review of huddles and interventions over a 16-month baseline period during which multiple databases were used to manage the huddle process and staff interventions were assigned via manually generated e-mail reminders. Phase 1 data collection included ADE details (e.g., medications and staff involved, location and date of event) and the types and frequencies of interventions. Based on the phase 1 analysis, an electronic database was created to eliminate the use of multiple systems for huddle scheduling and documentation and to automatically generate e-mail reminders on assigned interventions. In phase 2 of the initiative, the impact of the database during a 5-month period was evaluated; the primary outcome was the percentage of interventions documented as completed after database implementation. During the postimplementation period, 44.7% of assigned interventions were completed, compared with a completion rate of 21% during the preimplementation period, and interventions documented as incomplete decreased from 77% to 43.7% (p < 0.0001). Process changes, education, and medication order improvements were the most frequently documented categories of interventions. CONCLUSION: Implementation of a user-friendly electronic database improved intervention completion and documentation after medication event huddles.