Incorporating Evidence-Based Teaching into Pharmacy Education: A Case Study on the Use of Educational Theory in the Backward Design of a Drug Information Course.

Background: One way to incorporate evidence-based teaching into healthcare education is through backward design, a pedagogical design process that starts with creating learning outcomes, then moves to assessments, followed by content creation. This study uses backward design as a framework to present an applied experience of evidence-based teaching in the design and refinement of an introductory drug information course presented in the first year of a traditional 4-year PharmD curriculum. Case Description: In addition to backward design, evidence-based teaching methods included scaffolding, pass-fail grading standards, formative assessments, flipped classroom, and gamification. Additionally, innovative assessment techniques and teaching activities were created. The full evolution of this course, along with student performance, student perceptions, faculty workload and faculty experience, are described. Case Themes: Overall, using evidence-based methodologies led to improved organization and enhanced faculty and student satisfaction. Data showed students performed well based on both assessment and course averages. Faculty workload was substantial during the initial development of the course and was mitigated once structure and organization had been better optimized over years of revision. Impact: This report provides a model for others to incorporate evidence-based teaching methods into course design in both incremental and large-scale changes. The incorporation of these ideas takes time and work from faculty but this effort has the potential to yield improved student learning and perception. Dedication to continuous review and revision of developed educational content is encouraged. Faculty found this experience rewarding and felt that it made them better and happier educators.

Patient preferences for the provision of NHS medicines helpline services: a discrete choice experiment.

Introduction: Patient medicines helpline services (PMHS) can reduce harm and improve medicines adherence and patient satisfaction after hospital discharge. There is little evidence of which PMHS attributes are most important to patients. This would enable PMHS providers to prioritise their limited resources to maximise patient benefit. Methods: Patient preferences for PMHS attributes were measured using a discrete choice experiment. Seven attributes were identified from past research, documentary analysis and stakeholder consultation. These were used to produce a D-efficient design with two blocks of ten choice sets incorporated into an online survey. Adults in the UK who took more than one medicine were eligible to complete the survey and were recruited via the Research for the Future database. Preferences were estimated using conditional logistic regression. Associations between participant characteristics and preferences were investigated with latent class models. Results: 460 participants completed the survey. The most valued attributes were weekend opening (willingness-to-pay, WTP: £11.20), evening opening (WTP: £8.89), and receiving an answer on the same day (WTP: £9.27). Alternative contact methods, immediate contact with a pharmacist and helpline location were valued less. Female gender and full-time work were associated with variation in preferences. For one latent class containing 27% of participants, PMHS location at the patient's hospital was the most valued attribute. Discussion: PMHS providers should prioritise extended opening hours and answering questions on the same day. Limitations include a non-representative sample in terms of ethnicity, education and geography, and the exclusion of people without internet access.

Engine of Innovation in Hospital Pharmacy: Applications and Reflections of ChatGPT.

Hospital pharmacy plays an important role in ensuring medical care quality and safety, especially in the area of drug information retrieval, therapy guidance, and drug-drug interaction management. ChatGPT is a powerful artificial intelligence language model that can generate natural-language texts. Here, we explored the applications and reflections of ChatGPT in hospital pharmacy, where it may enhance the quality and efficiency of pharmaceutical care. We also explored ChatGPT's prospects in hospital pharmacy and discussed its working principle, diverse applications, and practical cases in daily operations and scientific research. Meanwhile, the challenges and limitations of ChatGPT, such as data privacy, ethical issues, bias and discrimination, and human oversight, are discussed. ChatGPT is a promising tool for hospital pharmacy, but it requires careful evaluation and validation before it can be integrated into clinical practice. Some suggestions for future research and development of ChatGPT in hospital pharmacy are provided.

A comparison of drug information question responses by a drug information center and by ChatGPT.

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 study was conducted to assess the accuracy and ability of Chat Generative Pre-trained Transformer (ChatGPT) to systematically respond to drug information inquiries relative to responses of a drug information center (DIC). METHODS: Ten drug information questions answered by the DIC in 2022 or 2023 were selected for analysis. Three pharmacists created new ChatGPT accounts and submitted each question to ChatGPT at the same time. Each question was submitted twice to identify consistency in responses. Two days later, the same process was conducted by a fourth pharmacist. Phase 1 of data analysis consisted of a drug information pharmacist assessing all 84 ChatGPT responses for accuracy relative to the DIC responses. In phase 2, 10 ChatGPT responses were selected to be assessed by 3 blinded reviewers. Reviewers utilized an 8-question predetermined rubric to evaluate the ChatGPT and DIC responses. RESULTS: When comparing the ChatGPT responses (n = 84) to the DIC responses, ChatGPT had an overall accuracy rate of 50%. Accuracy across the different question types varied. In regards to the overall blinded score, ChatGPT responses scored higher than the responses by the DIC according to the rubric (overall scores of 67.5% and 55.0%, respectively). The DIC responses scored higher in the categories of references mentioned and references identified. CONCLUSION: Responses generated by ChatGPT have been found to be better than those created by a DIC in clarity and readability; however, the accuracy of ChatGPT responses was lacking. ChatGPT responses to drug information questions would need to be carefully reviewed for accuracy and completeness.

Assessing Patient Feedback on the Feasibility of the YourRx Telepharmacy Mobile Application.

Background: Telepharmacy is a method utilized in pharmacy practice that delivers pharmaceutical care services via telecommunication technology. In the Philippines, the current process for patients to avail of telepharmacy services utilizes a variety of existing applications or websites instead of a single application. Objectives: This study aimed to assess patient feedback on the feasibility of the newly developed telepharmacy mobile application, YourRx. Specifically, it evaluated the application's functionality, usability, security, and performance. Methods: The study had 3 phases: (1) the design and development phase, (2) the implementation phase, wherein the pharmacists and patients were oriented beforehand with the use of YourRx mobile application, and (3) the evaluation phase, where the mobile application was evaluated for its functionality, usability, security, and performance by the patients through the use of a survey questionnaire and an interview. Results: YourRx application was developed and evaluated successfully. It is available for Android users and has primary features, including video calls, sharing, and setting an appointment. A total of 46 patients used the YourRx. Most of the patients were very satisfied with the navigation, service acquisition, and overall design of the YourRx. They expressed convenience in acquiring telepharmacy services because the application was easy to understand, use, and navigate. Conclusion: YourRx is a pioneering telepharmacy mobile application in the Philippines. The results of this study substantiate that YourRx is a user-friendly platform that provides patients convenient access to telepharmacy services with less time and effort thus improving patient health outcomes.

[Analysis and categorization of pharmacotherapeutic queries received at a Valencia Drug Information Center]. / Análisis y categorización de las consultas farmacoterapéuticas recibidas en un Centro de Información de Medicamentos de Valencia.

Introduction: Drug Information Services (DIS) act as a source of technical and scientific information of drugs and medical devices, promoting their rational use. Objective: To analyze and classify, according to standardized criteria, the pharmacotherapeutic queries, therapeutic groups, and drugs most frequently consulted at the DIS of the Muy Ilustre Colegio Oficial de Farmacéuticos de Valencia (MICOF). Methodology: An ambispective and cross-sectional observational study was conducted from June 1, 2021, to June 1, 2022. A total of 445 inquiries made by pharmacists from the province of Valencia were registered and analyzed, collecting the following data: drug, ATC-4 therapeutic group, and pharmacotherapeutic category of the query. Results: The most frequently consulted categories were commercialization and safety, with Proton Pump Inhibitors (PPIs, A02BC) and Vitamin K Antagonists (VKAs, B01AA) being the most consulted pharmacological groups, accounting for 2.7% and 2.3% of the total inquiries respectively. Regarding classification, 90,0% of the inquiries about acenocoumarol were about drug interactions, while 33.3% of the inquiries about PPIs were related to commercialization. Conclusions: The analysis of the inquiries received has made possible to identify the therapeutic groups, drugs and pharmacotherapeutic categories that generate the highest number of inquiries. This information is valuable for improving the efficiency of responses at the DIS, providing uniformity, and reducing errors. Additionally, it provides a comprehensive database that facilitates the standardized integration of information.

Characterization of patients with a snakebite presenting to healthcare facilities and reported to poison and drug information centers-Arizona, 2017-2021.

INTRODUCTION: Envenomation after a North American rattlesnake (Crotalus spp. and Sistrusus spp.) bite is associated with substantial morbidity. Arizona reports the highest number of rattlesnake envenomations annually in the United States. We evaluated the performance of poison and drug information centers for snakebite surveillance, compared with the hospital and emergency department discharge database. We used both datasets to improve the characterization of epidemiology, healthcare costs, and clinical effects of snakebite envenomations in Arizona. METHODS: We identified patients with a snakebite during 2017-2021 using Arizona hospital and emergency department discharge data and snakebite consults with two regional Arizona poison centers. Patients were matched using name and birthdate. The performance of poison center data for snakebite surveillance was evaluated using the percentage of snakebite patients in hospital and emergency department discharge data that consulted with poison centers. Patient demographics, healthcare characteristics, clinical effects, and context of snakebite events were described using both datasets. RESULTS: In total, 1,288 patients with a snakebite were identified using the Arizona hospital and emergency department discharge data, which resulted in 953 (74%) consultations with poison centers. The median age of patients was 48 years (IQR 28-62 years), and they were predominantly male (66%), White (90%), and non-Hispanic (84%). The median billed charges were US$ 84,880 (IQR US$ 13,286-US$ 168,043); the median duration of a healthcare stay was 34 h (IQR 13-48 h), and 29% of patients were transferred between healthcare facilities. Among 953 consulted poison center calls for a snakebite, a median of 14 vials of antivenom was administered per patient; 375 (60%) bites occurred near the home, and 345 (43%) patients were bitten on a lower extremity. One death was identified. DISCUSSION: Snakebites in Arizona can cause severe morbidity and require extensive healthcare resources for treatment. Poison centers are valuable for monitoring venomous snakebites in Arizona. CONCLUSIONS: Using hospital and emergency department discharge data with poison center records can improve public health surveillance data regarding snakebite epidemiology and human-snake interaction information and be used to tailor interventions to increase awareness of snake encounters and prevent snakebites.

Capivasertib.

Each month, subscribers to The Formulary Monograph Service receive 5 to 6 well-documented monographs on drugs that are newly released or are in late phase 3 trials. The monographs are targeted to Pharmacy and Therapeutics Committees. Subscribers also receive monthly 1-page summary monographs on agents that are useful for agendas and pharmacy/nursing in-services. A comprehensive target drug utilization evaluation/medication use evaluation (DUE/MUE) is also provided each month. With a subscription, the monographs are available online to subscribers. Monographs can be customized to meet the needs of a facility. Through the cooperation of The Formulary, Hospital Pharmacy publishes selected reviews in this column. For more information about The Formulary Monograph Service, contact Wolters Kluwer customer service at 866-397-3433.

Lecanemab.

Each month, subscribers to The Formulary Monograph Service receive 5 to 6 well-documented monographs on drugs that are newly released or are in late phase 3 trials. The monographs are targeted to Pharmacy & Therapeutics Committees. Subscribers also receive monthly 1-page summary monographs on agents that are useful for agendas and pharmacy/nursing in-services. A comprehensive target drug utilization evaluation/medication use evaluation (DUE/MUE) is also provided each month. With a subscription, the monographs are available online to subscribers. Monographs can be customized to meet the needs of a facility. Through the cooperation of The Formulary, Hospital Pharmacy publishes selected reviews in this column. For more information about The Formulary Monograph Service, contact Wolters Kluwer customer service at 866-397-3433.

RECOMED: A comprehensive pharmaceutical recommendation system.

OBJECTIVES: To build datasets containing useful information from drug databases and recommend a list of drugs to physicians and patients with high accuracy by considering a wide range of features of people, diseases, and chemicals. METHODS: A comprehensive pharmaceutical recommendation system was designed based on the features of people, diseases, and medicines extracted from two major drug databases and the created datasets of patients and drug information. Then, the recommendation was given based on recommender system algorithms using patient and caregiver ratings and the knowledge obtained from drug specifications and interactions. Sentiment analysis was employed by natural language processing approaches in pre-processing, along with neural network-based methods and recommender system algorithms for modelling the system. Patient conditions and medicine features were used to make two models based on matrix factorization. Then, we used drug interaction criteria to filter drugs with severe or mild interactions with other drugs. We developed a deep learning model for recommending drugs using data from 2304 patients as a training set and 660 patients as our validation set. We used knowledge from drug information and combined the model's outcome into a knowledge-based system with the rules obtained from constraints on taking medicine. RESULTS: Our recommendation system can recommend an acceptable combination of medicines similar to the existing prescriptions available in real life. Compared with conventional matrix factorization, our proposed model improves the accuracy, sensitivity, and hit rate by 26 %, 34 %, and 40 %, respectively. In addition, it improves the accuracy, sensitivity, and hit rate by an average of 31 %, 29 %, and 28 % compared to other machine learning methods. We have open-sourced our implementation in Python. CONCLUSION: Compared to conventional machine learning approaches, we obtained average accuracy, sensitivity, and hit rates of 31 %, 29 %, and 28 %, respectively. Compared to conventional matrix factorisation our proposed method improved the accuracy, sensitivity, and hit rate by 26 %, 34 %, and 40 %, respectively. However, it is acknowledged that this is not the same as clinical accuracy or sensitivity, and more accurate results can be obtained by gathering larger datasets.

Current status and usefulness of therapeutic drug monitoring implementation of theophylline in elderly patients based on a nationwide database study and modeling approach.

OBJECTIVES: Theophylline is used in the treatment of chronic obstructive pulmonary disease but readily causes symptoms of intoxication and exhibits high risks in elderly patients. However, there have only been a few recent reports on the significance of therapeutic drug monitoring (TDM) implementation, especially in elderly patients. To examine the usefulness of theophylline TDM, we evaluated the current status of prescriptions containing theophylline and its side effects and assessed the influence of aging, sex, drug formulation, and concurrent drugs use on theophylline exposure using data from various nationwide databases and a pharmacokinetic modeling approach. METHODS: We utilized sampling data from the National Database of Health Insurance Claims and Specific Health Checkups of Japan. Using the data of patients aged ≥80 years, we conducted an association analysis of theophylline and concurrent drugs. The transition in plasma theophylline concentration levels of elderly patients was estimated based on a previously reported physiological-based pharmacokinetic model. RESULTS: Altogether, 3973 patients using theophylline were registered in our dataset, and about 50% were over 70 years old and used theophylline. Therapeutic drug monitoring implementation was confirmed in only 1.13% of patients. The association analysis confirmed a frequent co-occurrence with allopurinol and famotidine, which increase theophylline exposure, in elderly patients aged ≥80 years. The physiologically based pharmacokinetic model indicated that theophylline trough concentrations were 1.65-fold higher in elderly patients aged 80 years compared to those aged 30 years and 1.35-fold higher in females compared to males. CONCLUSION: This study effectively combined information on the nationwide health care database and modeling approach, indicating the importance of proactive TDM and dose justification for female and elderly patients.

Minding the gap: Assessing patient expectations versus experiences in drug information services at community health centers (Puskesmas) in Indonesia urban settings.

In pharmaceutical care, patients' perceptions of drug information provided by pharmacists are vital for assessing pharmaceutical services at community health centers (in Indonesian known as Puskesmas). The aim of this study was to determine the alignment between patients' expectations and experiences of drug information services by pharmacists at Puskesmas in Indonesia. This multicenter cross-sectional study utilized a validated questionnaire among outpatient patients aged 18 years and above across all 47 Puskesmas in Makassar, Indonesia. A total of 622 respondents were interviewed between September to December 2023. Significant gaps were observed between patients' expectations and experiences regarding all the drug information aspects such as quantity (median: 4 vs 3, p<0.001), drug effects (median: 4 vs 3, p<0.001), dosage form (median: 3 vs 3, p<0.001), proper administration (median: 4 vs 4, p<0.001), side effects (median: 4 vs 2, p<0.001), storage (median: 3 vs 2, p<0.001), drug-drug interactions (median: 4 vs 2, p<0.001), drug-food interactions (median: 4 vs 2, p<0.001), handling missed dose (median: 3 vs 2, p<0.001), managing accidental overdoses (median: 4 vs 2, p<0.001), history of drug use (median: 3 vs 2, p<0.001), co-medications (median: 3 vs 2, p<0.001), and previous drug allergies (median: 3 vs 2, p<0.001). Sociodemographic factors influencing patients' need for drug information services encompass age, sex, educational attainment, comorbidities, family size, number of visits, monthly income, and occupation. The quality of drug information services at Puskesmas in Indonesia still requires optimization and customization to meet the specific needs of patients, taking into account their sociodemographic characteristics.

Utilizing Game-Based Learning in Literature Searching Instruction for Pharmacy Students.

OBJECTIVE: To determine whether gamifying librarian-led literature searching instruction improved student performance on an authentic literature searching assessment. Secondary objectives included determination of effect on email requests for assistance and student confidence in literature searching abilities. METHODS: Literature searching in PubMed is taught by a librarian to first-year pharmacy students in a drug information course over a 2-week period. The librarian chose to implement 2 game-based learning activities in the live lecture sessions: a crossword puzzle and an escape room. To increase engagement, students were encouraged to work collaboratively as a team during class. To evaluate the impact of incorporating gamification into literature searching instruction, the authors evaluated student grades on a literature searching assignment, reviewed the number of emails received asking for assistance, and evaluated student confidence in literature searching. RESULTS: Students scored higher on their literature searching assignment after the implementation of game-based instruction. The average grade on this assignment in 2022 was 90.1% compared with 2021 when the average was 79.9%. The average of 90.6% in 2023 also showed statistically significant improvement compared with 2021. Email requests decreased and student confidence increased when comparing 2021 outcomes with those in 2022 and 2023. CONCLUSION: Overall, the gamification of literature searching instruction in this course appears to have increased student assignment scores and was well-received by the students.

Performance of the ChatGPT large language model for decision support in community pharmacy.

AIMS: The aim of this study was to assess the ChatGPT-4 (ChatGPT) large language model (LLM) on tasks relevant to community pharmacy. METHODS: ChatGPT was assessed with community pharmacy-relevant test cases involving drug information retrieval, identifying labelling errors, prescription interpretation, decision-making under uncertainty and multidisciplinary consults. Drug information on rituximab, warfarin, and St. John's wort was queried. The decision-support scenarios consisted of a subject with swollen eyelids and a maculopapular rash in a subject on lisinopril and ferrous sulfate. The multidisciplinary scenarios required the integration of medication management with recommendations for healthy eating and physical activity/exercise. RESULTS: The responses from ChatGPT for rituximab, warfarin, and St. John's wort were satisfactory and cited drug databases and drug-specific monographs. ChatGPT identified labeling errors related to incorrect medication strength, form, route of administration, unit conversion, and directions. For the patient with inflamed eyelids, the course of action developed by ChatGPT was comparable to the pharmacist's approach. For the patient with the maculopapular rash, both the pharmacist and ChatGPT placed a drug reaction to either lisinopril or ferrous sulfate at the top of the differential. ChatGPT provided customized vaccination requirements for travel to Brazil, guidance on management of drug allergies and recovery from a knee injury. ChatGPT provided satisfactory medication management and wellness information for a diabetic on metformin and semaglutide. CONCLUSIONS: LLMs have the potential to become a powerful tool in community pharmacy. However, rigorous validation studies across diverse pharmacist queries, drug classes and populations, and engineering to secure patient privacy will be needed to enhance LLM utility.

Pharmacogenetics in Oncology: A useful tool for individualizing drug therapy.

With the continuous development of genetics in healthcare, there has been a significant contribution to the development of precision medicine, which is ultimately aimed at improving the care of patients. Generally, drug treatments used in Oncology are characterized by a narrow therapeutic range and by their potential toxicity. Knowledge of pharmacogenomics and pharmacogenetics can be very useful in the area of Oncology, as they constitute additional tools that can help to individualize patients' treatment. This work includes a description of some genes that have been revealed to be useful in the field of Oncology, as they play a role in drug prescription and in the prediction of treatment response.

Assessing accuracy of ChatGPT in response to questions from day to day pharmaceutical care in hospitals.

Background: The advent of Large Language Models (LLMs) such as ChatGPT introduces opportunities within the medical field. Nonetheless, use of LLM poses a risk when healthcare practitioners and patients present clinical questions to these programs without a comprehensive understanding of its suitability for clinical contexts. Objective: The objective of this study was to assess ChatGPT's ability to generate appropriate responses to clinical questions that hospital pharmacists could encounter during routine patient care. Methods: Thirty questions from 10 different domains within clinical pharmacy were collected during routine care. Questions were presented to ChatGPT in a standardized format, including patients' age, sex, drug name, dose, and indication. Subsequently, relevant information regarding specific cases were provided, and the prompt was concluded with the query "what would a hospital pharmacist do?". The impact on accuracy was assessed for each domain by modifying personification to "what would you do?", presenting the question in Dutch, and regenerating the primary question. All responses were independently evaluated by two senior hospital pharmacists, focusing on the availability of an advice, accuracy and concordance. Results: In 77% of questions, ChatGPT provided an advice in response to the question. For these responses, accuracy and concordance were determined. Accuracy was correct and complete for 26% of responses, correct but incomplete for 22% of responses, partially correct and partially incorrect for 30% of responses and completely incorrect for 22% of responses. The reproducibility was poor, with merely 10% of responses remaining consistent upon regeneration of the primary question. Conclusions: While concordance of responses was excellent, the accuracy and reproducibility were poor. With the described method, ChatGPT should not be used to address questions encountered by hospital pharmacists during their shifts. However, it is important to acknowledge the limitations of our methodology, including potential biases, which may have influenced the findings.

Factors Determining Quality of Drug Information by Hospital Pharmacies-Results from Five-Year Annual Quality Assessment.

Drug information (DI) provided by hospital pharmacies aims to promote rational and safe drug therapy. While quality assessment for this task is recommended, more knowledge on the factors determining the quality is needed. We aimed to evaluate the impacts of different factors on the quality of DI provided by hospital pharmacies to healthcare professionals. Retrospectively, answers on fictitious enquiries about annual DI tests for German hospital pharmacies over five years were evaluated for content-related and structural requirements. Multivariate analysis was performed for the impact of the enquiry complexity, DI organization (specialized DI center; pharmacist responsible per day; DI on top of other routine tasks), and quality measures (second look; experience of answering pharmacist in DI/on ward; use of documentation database). In 2017-2021, 45, 71, 79, 118, and 122 hospital pharmacies participated. The enquiry complexity had a statistically significant impact on the content-related quality, with poor results for a higher complexity (years 2018/2021, OR 0.25/0.04, p < 0.01). The DI centers achieved better results regarding content-related quality than for a pharmacist responsible per day (OR 0.76/p = 0.65) or DI on top of routine tasks (OR 0.35/p = 0.02). The DI centers scored better in structural quality. The second look showed an overall trend of a better content-related and structural quality. In conclusion, specialized DI centers and second looks are recommended as quality-improving measures. Training for answering complex enquiries should be intensified.

Safety and Tolerability of Initiating Sacubitril-Valsartan With Spironolactone During Hospitalization for Acute Decompensated Heart Failure.

Background: Initiation of sacubitril-valsartan and mineralocorticoid receptor antagonists (MRA) during hospitalization for acute decompensated heart failure (ADHF) may be an ideal time to optimize guideline-directed medical therapy. However, there is limited research assessing the safety of combining these agents in the hospital. Methods: This was a multi-center, retrospective, propensity-score matched cohort study performed at 7 acute-care hospitals within a large health care system. All adult patients admitted with ADHF between January 1, 2019 to December 31, 2021 who received sacubitril-valsartan with MRA (MRA group) or without MRA (non-MRA group) and had a left ventricular ejection fraction (LVEF) < 40% were included in the study. Results: 220 patients were screened during the study time frame with 179 meeting inclusion criteria. Following propensity-score matching, 50 patients in the MRA group were matched to 50 patients in the non-MRA group. The overall incidence of adverse drug reactions (ADRs) was 24% in the non-MRA group compared to 20% in the MRA group (P = .629). There was a significantly greater incidence of hyperkalemia in the MRA group (0% vs 10%; P = .022). None of the patients in the non-MRA group were readmitted within 30 days due to an ADR compared to 6% in the MRA group (P = .079). Conclusion: The addition of spironolactone to sacubitril-valsartan in the hospital setting following stabilization of ADHF did not lead to a significantly greater incidence of overall ADRs, but patients were more likely to develop hyperkalemia and there was a numerically higher incidence of 30-day readmissions due to ADRs.

Optimizing anticoagulation therapy for in-hospital patients on direct oral anticoagulants: a single-centre modified Delphi study.

AIMS: The management of patients treated with direct oral anticoagulants (DOACs) during hospitalization is a common challenge in clinical practice. Although bridging is generally not recommended, too often DOACs are switched to parenteral therapy with low molecular weight heparins. Our objectives were to update a local guideline for perioperative DOAC management and to develop a guideline for the anticoagulation management in non-surgical patients regarding temporary DOAC discontinuation. METHODS: We executed a two-step modified Delphi study in a 1000-bed university hospital in Belgium. The Delphi questionnaires were developed based on a literature review and a telephone survey of prescribers. Two expert panels were established: one dedicated to perioperative DOAC management and the other to DOAC management in non-surgical patients. Both panels completed two rounds, commencing with an individual and online round, followed by a face-to-face group session. RESULTS: After the two-round Delphi process, the updated perioperative guideline on DOAC management included reasons for delaying the resumption of DOACs following surgery, such as oral intake not possible, the probability of re-intervention within 3 days, and insufficient haemostasis (e.g. active clinically significant haematoma, haemorrhagic drains or wounds). Furthermore, a guideline for non-surgical hospitalized patients was developed, outlining possible reasons for interrupting DOAC therapy. Both guidelines offer clear anticoagulation therapy strategies corresponding to the identified scenarios. CONCLUSIONS: We have updated and developed guidelines for DOAC management in surgical and non-surgical patients during hospitalization, which aim to support prescribers and to enhance targeted prescription review by hospital pharmacists.

Retrospective analysis of adverse drug reaction enquiries to a hospital drug information service: lessons to be learned to increase in-hospital drug safety.

OBJECTIVES: Adverse drug reactions (ADRs) are a major drug safety concern and a frequent topic of enquiries to hospital drug information services. Our goal was to analyse these enquiries regarding background, complexity, nature of ADR, and involved drug classes to improve in-hospital drug safety. METHODS: Retrospectively, ADR enquiries to a German university hospital pharmacy drug information 2018-2022 were analysed regarding enquirer (profession, medical specialty) and enquiry details (drugs, suspected ADR/enquiry prior to drug initiation, ADR system organ class, probable cause identified, and enquiry complexity). KEY FINDINGS: Of 543 enquiries, 516 (95%) were asked by physicians, 493 (91%) patient-specific, 390 (71%) on suspected ADRs, and 153 (28%) prior to drug initiation. Enquiries originated frequently from internal medicine (74/13.6%), paediatrics (71/13.1%), neurology (70/12.9%), and haemato-oncology (62/11.4%). Most frequent ADRs were haematologic (94/17%) and hepatic (72/13%). The median number of drugs per enquiry was three (range 0-37), 209 (38%) enquiries referred to one specific drug, 165 (30%) concerned ≥11 drugs. A probable cause for suspected ADRs was identified in 75 (36%) enquiries concerning one drug and 155 (94%) with ≥11 drugs. Most frequent drugs were antineoplastic (54/25.8%), nervous-system-drugs (42/20.1%), and anti-infective (40/19.1%). Most enquiries (342/63%) were complex (multiple/specialist resources). CONCLUSIONS: Enquiries were usually asked by physicians referring to suspected ADRs in specific clinical situations. A probable cause was identified in many cases pointing to a direct positive impact on patient care. Enquiries prior to drug initiation should be encouraged to increase drug safety. Information on main ADR effects and drug classes helps with targeted counselling.