American Journal of Health-System Pharmacy最新文献

Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Purpose: Despite the effectiveness of antibiotic stewardship programs (ASPs) in improving antibiotic prescribing, these are rarely implemented in clinics serving underserved communities. Our objective was to understand patients' perspectives on the factors that can impact implementation of ASPs and integration of pharmacists in antibiotic prescribing in rural clinics.

Methods: We conducted a survey using both quantitative questions and an open-ended question. To participate, patients had to receive care from a clinic serving low-income or rural communities and provide verbal consent to be included in the study. We analyzed the quantitative component of the data using descriptive statistics. The Pearson correlation coefficient was used to examine the relationship between respondents' knowledge of the prevalence of antibiotic resistance and their attitudes toward ASPs and pharmacist integration in antibiotic prescribing.

Results: Of the 189 respondents who completed a survey, 51.3% were female and 51.3% were Caucasian. In our analysis, over 60% of patients reported knowing their prescribed antibiotics' names, while less than 30% possessed adequate knowledge of the indication and duration of the prescribed antibiotics. There was a positive correlation between knowledge about antibiotic resistance and being comfortable involving pharmacists in antibiotic prescribing (P < 0.01).

Conclusion: Many patients supported pharmacist involvement in antibiotic prescribing. Understanding patients' perceived attitudes will facilitate patient-centered, infrastructure-supported interventions by clinicians to improve antibiotic prescribing in the community.

Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Purpose: A growing shortage of mental health providers and the increasing prevalence and severity of mental illness necessitate a qualified pharmacist workforce to increase access and care. Psychiatric learning experiences (PLEs) completed during pharmacy residency training are one way to address this need. The purpose of this study was to characterize PLEs offered by postgraduate year 1 (PGY1) programs and completed by PGY1 residents over a 5-year period.

Methods: A retrospective review of data from PharmAcademic was conducted. All ASHP-accredited PGY1 programs from the 2016-2017 through 2020-2021 residency years were included in the descriptive analysis. PLE presence was identified using a keyword search of learning experience titles and descriptions. A post hoc analysis was conducted to compare yearly PLE completion rates during the study period and annual completion rates relative to presence or absence of a postgraduate year 2 psychiatric pharmacy residency.

Results: Of 1,461 PGY1 programs, 511 programs (34.9%) offered a PLE. Most PLEs were elective (82%). During the study period, 20.8% of PGY1 residents completed a PLE despite 77% having access.

Conclusion: PGY1 residents complete PLEs at low rates. The reasons for this are unclear and need to be further explored. The growing need for qualified pharmacists to care for patients with mental illness calls for strategies to increase mental health training, including greater completion of PLEs by PGY1 residents and an understanding of how PLEs are promoted to PGY1 residents.

Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Purpose: Excessive purchasing of influenza vaccine can lead to costly overages and waste of resources. Insufficient quantities, however, can jeopardize population health. Our project aimed to use predictive analytics to determine the influenza vaccine quantities that would be needed for the next influenza season while minimizing vaccine waste and meeting patient care demands.

Methods: Several data sources were evaluated to develop a predictive analytics model to better estimate future influenza vaccine orders during upcoming influenza seasons. A retrospective analysis of influenza vaccine administrations over the last 4 influenza seasons allowed the team to develop an algorithm to predict influenza vaccine needs. Two regions within Mayo Clinic were selected to determine the validity of our ordering process. These 2 regions, identified as regions 3 and 5, ordered influenza vaccines based on the algorithm, while the other 3 regions acted as control groups, ordering though traditional methods based on purchasing data.

Results: Predictive analysis for the 2 intervention regions resulted in a savings of over $1 million when compared to traditional ordering methods. The model predicted that the quantity of vaccine ordered should be 17,574.16 and 9,164.29 quadrivalent influenza vaccines for regions 3 and 5, respectively. On the basis of actual administration data, 15,902 vaccines for region 3 and 9,016 vaccines for region 5 will be administered by the end of the season, both of which are less than the predicted amount needed, demonstrating the accuracy of the analytics.

Conclusion: Compared to the traditional ordering method, ordering using predictive analytics allowed the team to more accurately determine future order volumes and spend, yielding significant cost savings.

Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Purpose: To evaluate the impact of dose-specific logic for tricyclic antidepressant (TCA) pharmacogenomic (PGx) clinical decision support (CDS). We aimed to provide guidance in an area with limited supporting literature, ensure optimal dosing through CDS, and limit alert fatigue. The primary outcome was the reduction in alerts prescribers encountered, while the secondary outcome included an analysis across specialties.

Methods: A retrospective chart review was conducted to examine TCA PGx CDS before and after implementation of dosing criteria for alerts. Data were abstracted from the electronic medical record. A χ2 test was performed to analyze the frequency of alerts in behavioral health and other specialties.

Results: In the cohort lacking dose criteria, most TCA orders were for indications other than depression (76%) and guidelines would not apply to the majority of these orders. Using dosing criteria to refine CDS reduced the volume of TCA alerts by 74.8%. Alert volume decreased the most in specialties other than behavioral health due to prescriptions for indications other than anxiety or depression (P = 0.035).

Conclusion: Dose-centric alerts may be used as a strategy to achieve optimal dosing. Alerting clinicians when dose modifications should occur contributes to getting the right dose to the right patient. Future efforts should focus on optimal dosing of medication through CDS enhancements.

Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Purpose: To describe the process utilized by a large multiprogram residency site to expand preceptor engagement and establish ongoing quality improvement efforts in order to meet the program's needs in response to evolving ASHP accreditation standards.

Summary: A multiprogram residency advisory committee (RAC) primarily composed of residency program leadership was formed to focus on aspects of program management and accreditation compliance that were not being addressed at the monthly all-preceptor meeting. The ASHP standard and a recent residency accreditation survey guided the RAC agenda, which led to the creation of a combined manual for the institution's 5 residency programs and a preceptor manual. Preceptor engagement was improved through the establishment of local preceptor requirements, inclusion of preceptor representatives on the RAC, expansion of subcommittee opportunities, addition of a preceptor midpoint retreat, and optimization of the end-of-year preceptor retreat. Communication with residents and identification of continual improvement opportunities were improved through roundtables with residents, residency program directors, and the RAC chair; a monthly meeting with the rotating chief resident and RAC chair; and face-to-face exit interviews with the department's chief of pharmacy. The RAC chair has been a key figure in coordinating program change to meet the ASHP standard as well as leading planning for subsequent ASHP surveys.

Conclusion: Through the establishment of a multiprogram RAC and a RAC chair, our program has been able to engage a large preceptor group that is dedicated to continual improvement and provides the ability to dynamically respond to ASHP's progressing guidance for pharmacy residency programs.

Disclaimer: In an effort to expedite the publication of articles, AJHP is posting manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Purpose: The purpose of this study was to evaluate the outcomes associated with barcode-assisted medication preparation (BCMP) technology and practice workflows for oral syringe dose preparation in a health-system pharmacy department.

Methods: This evaluative study was conducted at a flagship quaternary academic medical center. An electronic medical record (EMR)-integrated BCMP workflow was implemented in the central pharmacy operational area to enhance the safety of oral syringe dose preparation. The primary endpoints assessed compliance with BCMP implementation and the rate at which potential preparation errors were identified. The secondary endpoints evaluated operational markers of dose preparation batching, information technology enhancement needs, and medication waste avoidance.

Results: A 95% rate of compliance with the BCMP workflow was observed over 2 years. The composite near-miss detection rate improved from year 1 to year 2 of implementation (0.89% vs 0.94%). The composite rate was influenced by increased yearly compliance with BCMP (93.8% vs 95.3%). A total of 176,679 preparations were reviewed in the 2-year period, including 81,240 in year 1 and 89,638 in year 2. The rate at which orders were rejected by pharmacists decreased over time (0.26% in year 1 vs 0.24% in year 2). Of the 1,005 wrong ingredient warnings, only 4 were overridden; in all other instances, the order was rejected at pharmacist checking due to use of an incorrect product in the preparation history. Wrong ingredient warnings led to canceled preparations in 96.1% of alert instances.

Conclusion: EMR-integrated BCMP technology aligned with safety efforts in the oral syringe dose preparation process reduced potential waste of medications and allowed insight into operational performance and volume indicators.