Hospital-wide interventions for reducing or preventing in-hospital prescribing errors: a scoping review

INTRODUCTION

Prescribing errors (PEs) in hospital care lead to patient harm, prolonged hospital stays, readmissions, and mortality. Despite interventions that successfully target 'high risk' populations in trials, PE rates remain largely unchanged in real-world settings. Existing studies often focus narrowly on specific populations, overlooking the wider complexities of hospital-wide prescribing. This scoping review evaluates interventions for adult inpatients to identify knowledge gaps in how to reduce in-hospital PEs.

METHODS

A systematic search of PubMed, EMBASE.com, and the Cochrane Library (inception to 13 December 2024) was conducted following PRISMA-ScR guidelines. Studies prospectively evaluating interventions reducing in-hospital PEs were eligible for inclusion; those focusing on specific drugs, wards or populations or lacking original data were excluded.

RESULTS

Fourteen studies met the inclusion criteria. Technological interventions, such as computerized order entry systems, accounted for 35.7% of the studies. Half addressed prescriber-related factors, such as inadequate drug knowledge and prescribing skills, while organizational factors were underexplored.

CONCLUSION

Current interventions fail to address the underlying complexities, leaving critical gaps to decrease in-hospital PEs. To achieve sustainable PE reductions and improve patient safety, a multidisciplinary approach, standardized reporting, organizational reform, and a Safety-II perspective are essential.

Medication reconciliation and seamless care led by clinical pharmacists in Slovenia: a national reimbursed program ensuring safe and effective transition of care

BACKGROUND

Medication errors frequently happen during patients' transitions between different healthcare settings. Medication reconciliation, provided by various healthcare specialists, could help reduce these errors. However, clinical pharmacists do not lead this service nationally in most countries.

AIM

This paper describes the development, implementation, and national evaluation of medication reconciliation in Slovenia as part of seamless care.

SETTING

All hospitals and community pharmacies in Slovenia.

DEVELOPMENT

The initial step involved the successful development of legislation in Slovenia. This process, termed 'seamless care,' was defined as a pharmaceutical service and five different steps of this process were developed: medication reconciliation upon admission (including the best possible medication history), during discharge, personal medication cards, and medication dispensing. A standard operational procedure was established in 2023 to guide these practices.

IMPLEMENTATION

A critical milestone in the implementation process was establishing a successful reimbursement scheme in 2023. Hospitals and community pharmacies implemented this service following successful reimbursement. Pharmacy managers and heads of hospital pharmacy departments were responsible for overseeing its implementation in hospitals and community pharmacies. The Health Insurance Institute of Slovenia is measuring the implementation.

EVALUATION

Trials were conducted in various Slovenian hospitals to evaluate this service's effectiveness, appropriateness, and adoption before its full implementation (reduced medication-related problems were observed). The Health Insurance Institute of Slovenia is currently evaluating the sustainability of the service and providing feedback to the providers.

CONCLUSION

Slovenia is the first country in this part of Europe to fully reimburse and implement medication reconciliation as a pharmaceutical service. This practice holds promise for exporting to other countries.

Implementation of Medication-Related Technology and Its Impact on Pharmacy Workflow: Real-World Evidence Usability Study

BACKGROUND

Medication errors constitute a major contributor to patient harm, driving up health care costs and representing a preventable cause of medical incidents. Over the past decade, many hospitals have integrated various medication-related technologies into their pharmacy operations. However, real-world evidence of the impact of these advanced systems on clinical prescription dispensing error rates remains limited.

OBJECTIVE

This study aims to prospectively detect and record the categories and rates of dispensing errors to illustrate how medication-related technologies, such as automated dispensing cabinet (ADC), barcode medication administration (BCMA), and smart dispensing counter (SDC), can be used to minimize dispensing errors.

METHODS

This study used a before-and-after design at a 2202-bed academic medical center in Taiwan to assess the impact of implementing medication-related technologies (ADC, BCMA, and SDC) on patient medication safety. Dispensing error rates were analyzed from January 1, 2017, to December 31, 2023, using data from the China Medical University Hospital Patient Safety Database. The study periods were defined as stage 0 (preintervention, January to November 2017), stage 1 (post-ADC intervention, December 2017 to June 2018), stage 2 (post-BCMA intervention, July 2018 to October 2020), and stage 3 (post-SDC intervention, November 2020 to December 2023). Medication errors were defined according to the National Coordinating Council for Medication Error Reporting and Prevention (NCC MERP). Chi-square or Fisher exact tests were used to analyze differences between intervention periods, with Bonferroni correction for multiple comparisons. Statistical significance was set at P<.05.

RESULTS

Following the introduction of medication-related technologies, the average dispensing error incidence rate significantly decreased by 39.68%, 44.44%, and 77.78%, from 0.0063% in stage 0 to 0.0038%, 0.0035%, and 0.0014% in stages 1, 2, and 3, respectively (P<.001). The frequency of "wrong drug" errors, the most common error type in stage 0, significantly decreased by 51.15%, 56.85%, and 81.26% in stages 1, 2, and 3, respectively. All error types, except for "wrong dosage form," "wrong strength," "wrong time," and "others," demonstrated statistically significant differences (P<.001). The majority of harm severities were categorized as "A" (no error; 97%-98.8%) and "B-D" (error, no harm; 1.2%-3%) according to the NCC MERP classification. The severity of "no error" (category A) significantly decreased at each stage (P<.001). Statistically significant differences in dispensing error rates were observed between all stages (P<.001), except between stages 2 and 1 (P>.99).

CONCLUSIONS

This study provides significant evidence that the implementation of medication-related technologies, including ADC, BCMA, and SDC, effectively reduces dispensing errors in a hospital pharmacy setting. Specifically, we observed a substantial decrease in the average dispensing error rate across 3 stages of technology implementation. Importantly, this study appears to be the first to investigate the combined impact of these 3 specific technologies on dispensing error rates within a hospital pharmacy.

Economic evaluations in undergraduate medical education: a systematic review

OBJECTIVES

Medical education profoundly impacts patients, students, educators and public resources. However, the economic dimensions necessary for informed decision-making remain underexplored. This systematic review examines how economic evaluations are conducted and reported in undergraduate medical education (UME) literature and assesses their quality.

DESIGN

Systematic review.

DATA SOURCES

Medline, Embase, Web of Science, Cochrane, ERIC, Google Scholar and the CEVR CEA databases were searched on 13 September 2024.

ELIGIBILITY CRITERIA

Eligible studies evaluated interventions within UME and reported (incremental) costs and effects, employing any method such as cost-effectiveness analysis, cost-minimisation analysis or decision-analytic modelling.

DATA EXTRACTION AND SYNTHESIS

Key data, including study characteristics, evaluation type, perspective, intervention details, sensitivity analyses, cost and effect measures, outcomes, expressions of cost-effectiveness and adherence to economic reporting guidelines, were extracted. Quality was assessed using the CHEQUE tool, and the findings were synthesised qualitatively.

RESULTS

Of 6559 studies identified, 21 met the inclusion criteria. Most studies reported costs and effects post-hoc within effectiveness trials, with only one decision-analytic modelling study identified. Evaluated domains included instructional methods, skills training, selection and student health. All but one study adopted a payer (university) perspective, and nearly all focused on short-term outcomes. Sensitivity analyses were rarely performed, and no study achieved full quality scores.

CONCLUSIONS

Economic evaluations in UME are scarce and often of limited methodological rigour. A shift towards comprehensive, prospective evaluations is needed to address long-term outcomes, societal perspectives and methodological robustness. Such efforts will enable better resource allocation, enhance the impact of medical education and contribute to a sustainable educational landscape.

PROSPERO REGISTRATION NUMBER

CRD42023478907.

Development and Implementation of a Clinical Decision Support System to Enhance Efficiency and Accuracy in Medication Prescription Review in a Tertiary Care Hospital: A Retrospective Hospital CDSS Register Study

Background

The integration of Clinical Decision Support Systems (CDSSs) into the prescription review process is expected to mitigate medication errors and increase patient safety. This study aimed to quantify the impact of integrating the CDSS into the prescription review process.

Methods

This retrospective study was conducted by pharmacists at a 3200-bed tertiary hospital in China, leveraging data from the Hospital Information System and CDSS software across two distinct periods: August 2021 to July 2022 (preimplementation) and August 2022 to July 2023 (postimplementation). The chi-square test was used to compare the proportions of medication alerts and patients receiving alerts, both overall and per ward, before and after implementation. The chi-square test was also used to assess the significance of differences in medication alert deviations and pharmacist interventions between the two groups.

Results

During the pre- and postimplementation periods, 5,170,765 and 5,804,595 medication orders were prescribed, respectively. Among these, 130,286 (2.52%) and 133,562 (2.30%) prescriptions triggered alerts, indicating a significant reduction in the alert rate of 0.22% (aHR=0.911, 95% CI 0.904-0.918; P<0.001). Difference in the distribution of the top ten medication alert categories was observed between the two periods. In the pre- and postimplementation groups, 208,356 and 218,165 patients were prescribed medication, respectively. Among them, 63,219 (30.34%) and 61,258 (28.08%) patients received alerts, respectively, showing a significant reduction of 2.26% (aHR=0.896, 95% CI 0.885-0.908; P<0.001). Among the clinical wards, 66.09% (76 out of 115) showed significant differences in the proportion of patients receiving alerts between the pre- and postimplementation periods (P<0.05). Specifically, 45.22% (52 out of 115) of these wards experienced a decrease in the proportion of patients receiving alerts, whereas a smaller percentage, 20.87% (24 out of 115), experienced an increase.

Conclusion

CDSSs are invaluable tools for hospital pharmacists and physicians, assisting in the complex task of prescription review.

Multiple points of system failure underpin continuous subcutaneous infusion safety incidents in palliative care: A mixed methods analysis

BACKGROUND

About 25% of palliative medication incidents involve continuous subcutaneous infusions. Complex structural and human factor issues make these risk-prone interventions. Detailed analysis of how this safety-critical care can be improved has not been undertaken. Understanding context, contributory factors and events leading to incidents is essential.

AIMS

(1) Understand continuous subcutaneous infusion safety incidents and their impact on patients and families; (2) Identify targets for system improvements by learning from recurrent events and contributory factors.

DESIGN

Following systematic identification and stratification by degree of harm, a mixed methods analysis of palliative medication incidents involving continuous subcutaneous infusions comprising quantitative descriptive analysis using the PatIent SAfety (PISA) classification system and qualitative narrative analysis of free-text reports.

SETTING/PARTICIPANTS

Palliative medication incidents (n = 7506) reported to the National Reporting and Learning System, England and Wales (2016-2021).

RESULTS

About 1317/7506 incidents involved continuous subcutaneous infusions with 943 (72%) detailing harms. Primary incidents (most proximal to patient outcomes) leading to inappropriate medication use (including not using medication when it was needed) were underpinned by breakdowns in three major medication processes: monitoring and supply (405, 31%), administration (383, 29%) and prescribing (268, 20%). Recurring contributory factors included discontinuity of care within and between settings, inadequate time, inadequate staffing and unfamiliarity with protocols. Psychological harms for patients and families were identified.

CONCLUSIONS

System infrastructure is needed to enable timely supply of medication and equipment, effective coordinated use of continuous subcutaneous infusions, communication and continuity of care. Training is needed to improve incident descriptions so these pinpoint precise targets for safer care.

Enhancing therapeutic reasoning: key insights and recommendations for education in prescribing

BACKGROUND

Despite efforts to improve undergraduate clinical pharmacology & therapeutics (CPT) education, prescribing errors are still made regularly. To improve CPT education and daily prescribing, it is crucial to understand how therapeutic reasoning works. Therefore, the aim of this study was to gain insight into the therapeutic reasoning process.

METHODS

A narrative literature review has been performed for literature on cognitive psychology and diagnostic and therapeutic reasoning.

RESULTS

Based on these insights, The European Model of Therapeutic Reasoning has been developed, building upon earlier models and insights from cognitive psychology. In this model, it can be assumed that when a diagnosis is made, a primary, automatic response as to what to prescribe arises based on pattern recognition via therapy scripts (type 1 thinking). At some point, this response may be evaluated by the reflective mind (using metacognition). If it is found to be incorrect or incomplete, an alternative response must be formulated through a slower, more analytical and deliberative process, known as type 2 thinking. Metacognition monitors the reasoning process and helps a person to form new therapy scripts after they have chosen an effective therapy. Experienced physicians have more and richer therapy scripts, mostly based on experience and enabling conditions, instead of textbook knowledge, and therefore their type 1 response is more often correct.

CONCLUSION

Because of the important role of metacognition in therapeutic reasoning, more attention should be paid to metacognition in CPT education. Both trainees and teachers should be aware of the possibility to monitor and influence these cognitive processes. Further research is required to investigate the applicability of these insights and the adaptability of educational approaches to therapeutic reasoning.

Evaluating the Performance of ChatGPT in the Prescribing Safety Assessment: Implications for Artificial Intelligence-Assisted Prescribing

Objective With the rapid advancement of artificial intelligence (AI) technologies, models like Chat Generative Pre-Trained Transformer (ChatGPT) are increasingly being evaluated for their potential applications in healthcare. The Prescribing Safety Assessment (PSA) is a standardised test for junior physicians in the UK to evaluate prescribing competence. This study aims to assess ChatGPT's ability to pass the PSA and its performance across different exam sections. Methodology ChatGPT (version GPT-4) was tested on four official PSA practice papers, each containing 30 questions, in three independent trials per paper, with answers evaluated using official PSA mark schemes. Performance was measured by calculating overall percentage scores and comparing them to the pass marks provided for each practice paper. Subsection performance was also analysed to identify strengths and weaknesses. Results ChatGPT achieved mean scores of 257/300 (85.67%), 236/300 (78.67%), 199/300 (66.33%), and 233/300 (77.67%) across the four papers, consistently surpassing the pass marks where available. ChatGPT performed well in sections requiring factual recall, such as "Adverse Drug Reactions", scoring 63/72 (87.50%), and "Communicating Information", scoring 63/72 (88.89%). However, it struggled in "Data Interpretation", scoring 32/72 (44.44%), showing variability across trials and indicating limitations in handling more complex clinical reasoning tasks. Conclusion While ChatGPT demonstrated strong potential in passing the PSA and excelling in sections requiring factual knowledge, its limitations in data interpretation highlight the current gaps in AI's ability to fully replicate human clinical judgement. ChatGPT shows promise in supporting safe prescribing, particularly in areas prone to human error, such as drug interactions and communicating correct information. However, due to its variability in more complex reasoning tasks, ChatGPT is not yet ready to replace human prescribers and should instead serve as a supplemental tool in clinical practice.

Development of an innovative clinical pharmacy service in a urology surgical unit: a new initiative from Qatar

Purpose

To provide an insight into the role of a clinical pharmacy initiative in a surgical urology unit through evaluating the nature, significance, associated medications, and acceptance rate of pharmacist interventions.

Methods

A cross-sectional study was carried out at the Ambulatory Care Center (ACC), Doha, Qatar. Data related to clinical pharmacist interventions and associated rationale were classified according to the nature of the intervention using an adapted classification system. The assessment of the severity followed the National Patient Safety Agency (NPSA) Risk Matrix. Linear regression, Kruskal-Wallis, and post-hoc analyses were performed to determine the association between patient-related and medication-related characteristics on pharmacist interventions.

Results

A total of 3284 interventions (on 1486 patients) were analysed. Most patients (n = 1105; 74.4%) had 1-2 interventions. Age and gender showed a positive linear correlation with the number of interventions per patient (p < 0.01). Majority of interventions were related to pharmacological strategy (n = 1858; 56.6%) and quantity of drug (n = 821; 25%). Additional drug therapy (n = 748; 22.78%) was the most common subcategory followed by optimum dose/frequency (n = 691; 21.04%) and discontinuation of medications (n = 352, 10.72%). Anti-infectives were the most identified drug category (n = 798, 55.1%). Most interventions (59.4%) were of moderate significance; patients with moderate interventions were found to be older compared to patients with minor interventions (p = 0.032). Prescribers' acceptance rate was high (>90%), with a notable increase of 6.6% from 2021 to 2023.

Conclusion

This study showed that the clinical pharmacy service in the urology surgical field was a fruitful initiative. The clinical pharmacist's role has expanded to include not only therapeutic optimisation while ensuring medication safety across the continuum of perioperative care but also the identification and management of untreated health problems. The dynamic and complexity of the urology patient population challenge clinical pharmacists; however, the practice concepts remain the same as in any other clinical setting.

Recognizing and preventing unacknowledged prescribing errors associated with polypharmacy

BACKGROUND

Prescribing errors put an enormous burden on health and the economy, claiming implementation of effective methods to prevent/reduce them. Polypharmacy regimens (five or more drugs) are highly prone to unacknowledged prescribing errors, since the complex network of drug-drug interactions, guidelines and contraindications is challenging to be adequately evaluated in the prescription phase, especially if different doctors are involved. Clinical decision support systems aimed at polypharmacy evaluation may be crucial to recognize and correct prescribing errors.

METHODS

A commercial clinical decision support system (Drug-PIN®) was applied to estimate the frequency of unrecognized prescribing errors in a group of 307 consecutive patients accessing the hospital pre-admission service of the Sant'Andrea Hospital of Rome, Italy, in the period April-June 2023. Drug-PIN® is a two-step system, first scoring the risk (low, moderate or high) associated with a certain therapy-patient pair, then allowing therapy optimization by medications exchanges. We defined prescribing errors as cases where therapy optimization could achieve consistent reduction of the Drug-PIN® calculated risk.

RESULTS

Polypharmacy was present in 205 patients, and moderate to high risk for medication harm was predicted by Drug-PIN® in 91 patients (29.6%). In 58 of them (63.7%), Drug-PIN® guided optimization of the therapy could be achieved, with a statistically significant reduction of the calculated therapy-associated risk score. Patients whose therapy cannot be improved have a statistically significant higher number of used drugs. Considering the overall study population, the rate of avoidable prescribing errors was 18.89%.

CONCLUSIONS

Results suggest that computer-aided evaluation of medication-associated harm could be a valuable and actionable tool to identify and prevent prescribing errors in polypharmacy. We conducted the study in a Hospital pre-admission setting, which is not representative of the general population but represents a hotspot to intercept fragile population, where a consistent fraction of potentially harmful polypharmacy regimens could be promptly identified and corrected by systematic use of adequate clinical decision support tools.

The use of artificial intelligence to detect voided medication orders in oral and maxillofacial surgery inpatients

OBJECTIVE

The aim of this study is to determine if supervised machine learning algorithms can accurately predict voided computerized physician order entry in oral and maxillofacial surgery inpatients.

METHODS

Data from Electronic Medical Record included patient demographics, comorbidities, procedures, vital signs, laboratory values, and medication orders were retrospectively collected. Predictor variables included patient demographics, comorbidities, procedures, vital signs, and laboratory values. Outcome of interest is if a medication order was voided or not. Data was cleaned and processed using Microsoft Excel and Python v3.12. Gradient Boosted Decision Trees, Random Forest, K-Nearest Neighbor, and Naïve Bayes were trained, validated, and tested for accuracy of the prediction of voided medication orders.

RESULTS

37,493 medication orders from 1,204 patient admissions over 5 years were used for this study. 3,892 (10.4%) medication orders were voided. Gradient Boosted Decision Trees, Random Forest, K-Nearest Neighbor, and Naïve Bayes had an Area Under the Receiver Operating Curve of 0.802 with 95% CI [0.787, 0.825], 0.746 with 95% CI [0.722, 0.765], 0.685 with 95% CI [0.667, 0.699], and 0.505 with 95% CI [0.489, 0.539], respectively. Area Under the Precision Recall Curve was 0.684 with 95% CI [0.679, 0.702], 0.647 with 95% CI [0.638, 0.664], 0.429 with 95% CI [0.417, 0.434], and 0.551 with 95% CI [0.551, 0.552], respectively.

CONCLUSION

Gradient Boosted Decision Trees was the best performing model of the supervised machine learning algorithms with satisfactory outcomes in the test cohort for predicting voided Computerized Physician Order Entry in Oral and Maxillofacial Surgery inpatients.

Risks in the analogue and digitally-supported medication process and potential solutions to increase patient safety in the hospital: A mixed methods study

BACKGROUND

In hospital medication errors are common. Our aim was to investigate risks of the analogue and digitally-supported medication process and any potential solutions.

METHODS

A mixed methods study including a structured literature search and online questionnaires based on the Delphi method was conducted. First, all risks were structured into main and sub-risks and second, risks were grouped into risk clusters. Third, healthcare experts assessed risk clusters regarding their likelihood of occurrence their possible impact on patient safety. Experts were also asked to estimate the potential for digital solutions and solutions that strengthen the competence of healthcare professionals.

RESULTS

Overall, 160 main risks and 542 sub-risks were identified. Main risks were grouped into 43 risk clusters. 33 healthcare experts (56% female, 50% with >20 years professional-experience) ranked the likelihood of occurrence and the impact on patient safety in the top 15 risk clusters regarding the process steps: admission (n = 4), prescribing (n = 3), verifying (n = 1), preparing/dispensing (n = 3), administering (n = 1), discharge (n = 1), healthcare professional competence (n = 1), and patient adherence (n = 1). 28 healthcare experts (64% female, 43% with >20 years professional-experience) mostly suggested awareness building and training, strengthened networking, and involvement of pharmacists at point-of-care as likely solutions to strengthen healthcare professional competence. For digital solutions they primarily suggested a digital medication list, digital warning systems, barcode-technology, and digital support in integrated care.

CONCLUSIONS

The medication process holds a multitude of potential risks, in both the analogue and the digital medication process. Different solutions to strengthen healthcare professional competence and in the area of digitalization were identified that could help increase patient safety and minimize possible errors.

Prevalence, contributing factors, and interventions to reduce medication errors in outpatient and ambulatory settings: a systematic review

BACKGROUND

Medication errors are common events that compromise patient safety. Outpatient and ambulatory settings enhance access to healthcare which has been linked to favorable outcomes. While medication errors have been extensively researched in inpatient settings, there is dearth of literature from outpatient settings.

AIM

To synthesize the peer-reviewed literature on the prevalence, nature, contributory factors, and interventions to minimize medication errors in outpatient and ambulatory settings.

METHOD

A systematic review was conducted using Medline, Embase, CINAHL, and Google Scholar which were searched from 2011 to November 2021. Quality assessment was conducted using the quality assessment checklist for prevalence studies tool. Data related to contributory factors were synthesized according to Reason's accident causation model.

RESULTS

Twenty-four articles were included in the review. Medication errors were common in outpatient and ambulatory settings (23-92% of prescribed drugs). Prescribing errors were the most common type of errors reported (up to 91% of the prescribed drugs, high variations in the data), with dosing errors being most prevalent (up to 41% of the prescribed drugs). Latent conditions, largely due to inadequate knowledge, were common contributory factors followed by active failures. The seven studies that discussed interventions were of poor quality and none used a randomized design.

CONCLUSION

Medication errors (particularly prescribing errors and dosing errors) in outpatient settings are prevalent, although reported prevalence range is wide. Future research should be informed by behavioral theories and should use high quality designs. These interventions should encompass system-level strategies, multidisciplinary collaborations, effective integration of pharmacists, health information technology, and educational programs.

Educating Medical Students on How to Prescribe Anti-Hyperglycaemic Drugs: A Practical Guide

In the light of the rapidly increasing global incidence of, and therapeutic arsenal for, diabetes type 2, this brief report underscores the need for advancements in clinical pharmacology and therapeutics (CPT) education with regard to diabetes type 2. We advocate for the comprehensive training of medical students and junior doctors in line with current guidelines, and emphasize the importance of teaching how to draw up individualized treatment plans based on patients’ specific risk factors and conditions, such as cardiovascular risks, weight, and risk of hypoglycaemia. Within the curriculum, traditional teaching approaches should be replaced by innovative methods such as problem-based learning, which has been shown to be more effective in developing prescribing knowledge and skills. The inclusion of real-world experience and interprofessional learning via so-called student-run clinics is also recommended. Subsequently, innovative assessment methods like the European Prescribing Exam and objective structured clinical examinations (OSCE) are highlighted as essential for evaluating knowledge and practical skills. By adopting these educational advances, medical education can better equip future practitioners to adequately manage the complex pharmacological treatment of diabetes.

Benchmarking of medication incidents reporting and medication error rates in a JCI accredited university teaching hospital at a GCC country

Introduction

The benchmarking for medication incidents rate is not regarded as a recognized key performance measure or indicator in national or international organizations. The absence of benchmarking the medication incidents results in the loss of a self-governing perception of how well we performed compared to other peers.

Methodology and settings

This 600-bed tertiary, Joint Commission International (JCI) accredited hospital retrospective analysis looked at all medication management-related events from January-2018 to December-2021. The study design follows descriptive, cross-sectional, retrospective prevalence research.

Results

The rate of medication incidents that resulted in harm declined from Q3-2019 to Q4-2021. A significant increase in Pharmacy interventions/clarifications was recorded. Additionally, a significant increase in incidents reported with no-harm coupled with a significant reduction in incidences of serious events from 2019 to 2020. Finally, no-harm events were significantly reduced from 2020 to 2021.

Discussion

The Pharmacy's study analyzed every medication incident documented from 2019 to 2021. 99.7% of reported incidents were classified as no-harm (near misses). There was an exponential decrease from Q1-2020 to Q1-202. A significant increase in incidents fell in the category of (near misses) with no-harm and a significant reduction in serious events. Pharmacy interventions/clarifications saw a massive increase and impact from Q3-2018 to Q2-2019, compared to the same period in 2018. By preventing medical incidents, benchmarking, and analyzing incidents and the reporting system, the use of information technology could dramatically reduce the rate of drug incidents.

Conclusion

This study found that benchmarking medication incidents is valuable, as it can help identify areas where improvements can be made, implement strategies to improve safety, and track progress over time. The benchmark was recommended to be below 100 incidents for every 10,000 prescriptions/orders processed, and for E-I categories, below one incident for every 10,000 prescriptions/orders processed. This will help develop a worldwide standard with an absolved culture with non-punitive consequences.

Educational Interventions for Medical Students to Improve Pharmacological Knowledge and Prescribing Skills: A Scoping Review

Introduction

Medication-related errors place a heavy financial burden on healthcare systems worldwide, and mistakes are most likely to occur at the stage of prescribing. Junior doctors are more likely to make prescribing errors, and medical graduates also lack confidence and preparedness towards prescribing. Thus, this review aimed to evaluate the existing educational approaches to improve pharmacological knowledge and prescribing skills among medical students.

Methods

CENTRAL, CINAHL, ERIC, Ovid Embase, Ovid MEDLINE, Ovid PsycINFO, and Scopus were searched with keywords related to "pharmacological knowledge", "prescribing skills", "educational interventions" for articles published since 2016.

Results

3595 records were identified, and 115 full-text articles were assessed for eligibility. Eighty full-text articles were eligible and included in this review. Thirty-seven studies focused on improving prescribing skills, whilst 43 targeted pharmacological knowledge. A broad range of interventions was implemented, including e-learning, case-based, interprofessional, and experiential learning. Pharmacological knowledge and prescribing skills were measured in various ways, and all studies reported one or more positive findings at Kirkpatrick level 1 or 2. No study reported outcomes at Kirkpatrick levels 3 and 4.

Discussion

The World Health Organisation's Good Guide to Prescribing was the foundation of the development of prescribing educational interventions. Emerging interventions such as experiential and interprofessional learning should be incorporated into the prescribing curriculum. Innovative approaches such as game-based learning can be considered for clinical pharmacology teaching. However, there was a lack of outcomes at Kirkpatrick levels 3 and 4. Robust methodology and reliable outcome measures are also needed in future studies.

Economic impact of clinical pharmacist interventions in a general tertiary hospital in Qatar

BACKGROUND

With an increasingly strained health system budgets, healthcare services need to continually demonstrate evidence of economic benefits. This study sought to evaluate the economic impact of interventions initiated by clinical pharmacists in an adult general tertiary hospital.

METHODS

A retrospective review of clinical pharmacist interventions was carried out throughout follow-up durations in March 2018, July/August 2018, and January 2019 in Hamad General Hospital (HGH) at Hamad Medical Corporation (HMC) in Qatar. The study included clinical pharmacy interventions data of patients admitted to the internal medicine, critical care, and emergency wards. Included interventions were documented by clinical pharmacists or clinical pharmacy specialists, and approved by physicians. Interventions by non-clinical pharmacists or with missing data were excluded. Adopting the perspective of HMC, we calculated the total economic benefit, which is the sum of the cost savings and the cost avoidance associated with the interventions. Cost savings was defined as the reduced cost of therapy associated with therapy changes minus the cost of intervention and cost avoidance was the cost avoided by eliminating the occurrence of adverse drug events (ADEs). Sensitivity analyses were performed to assess the robustness of results against uncertainties.

RESULTS

A total of 852 interventions, based on 340 patients, were included. The analysis projected an annual total benefit of QAR 2,267,036 (USD 621,106) based on a negative cost-savings of QAR-175,139 (USD-47,983) and a positive cost avoidance of QAR741,898 (USD203,260) over the 3-month follow-up period. The uncertainty analysis demonstrated the robustness of outcomes, including a 100% probability of positive economic benefit.

CONCLUSIONS

The clinical pharmacist intervention was associated with an increased cost of resource use, which was overtaken by the cost avoidance generated. The pharmacy intervention, therefore, is an overall economically beneficial practice in HGH, reducing ADEs with considerable consequential positive economic savings.

Impact of clinical pharmacist interventions on economic outcomes in a cardiology setting in Qatar

We sought to investigate the economic impact of preventing adverse events in a cardiology setting in Qatar as an effect of the clinical pharmacist as an intervention. This is a retrospective study of interventions by clinical pharmacists within an adult cardiology setting in a public healthcare setting (i.e Hamad Medical Corporation). The study included interventions that took place in March 2018, July 15, 2018-August 15, 2018, and January 2019. The economic impact was measured via calculating the total benefit, defined as the sum of the cost savings and the cost avoidance. Sensitivity analyses were adopted to confirm the robustness of the results. The pharmacist intervened in 262 patients, resulting in 845 interventions, with appropriate therapy (58.6%) and dosing/administration (30.2%) being the most frequent categories of reported interventions. Cost savings and cost avoidance resulted in QAR-11,536 (USD-3,169) and QAR1,607,484 (USD 441,616), respectively, yielding a total benefit of QAR1,595,948 (USD438,447) per three months and QAR6,383,792 (USD1,753,789) per a year.

Learning from electronic prescribing errors: a mixed methods study of junior doctors' perceptions of training and individualised feedback data

OBJECTIVES

To explore the views of junior doctors towards (1) electronic prescribing (EP) training and feedback, (2) readiness for receiving individualised feedback data about EP errors and (3) preferences for receiving and learning from EP feedback.

DESIGN

Explanatory sequential mixed methods study comprising quantitative survey (phase 1), followed by interviews and focus group discussions (phase 2).

SETTING

Three acute hospitals of a large English National Health Service organisation.

PARTICIPANTS

25 of 89 foundation year 1 and 2 doctors completed the phase 1 survey; 5 participated in semi-structured interviews and 7 in a focus group in phase 2.

RESULTS

Foundation doctors in this mixed methods study reported that current feedback provision on EP errors was lacking or informal, and that existing EP training and resources were underused. They believed feedback about prescribing errors to be important and were keen to receive real-time, individualised EP feedback data. Feedback needed to be in manageable amounts, motivational and clearly signposting how to learn or improve. Participants wanted feedback and better training on the EP system to prevent repeating errors. In addition to individualised EP error data, they were positive about learning from general prescribing errors and aggregated EP data. However, there was a lack of consensus about how best to learn from statistical data. Potential limitations identified by participants included concern about how the data would be collected and whether it would be truly reflective of their performance.

CONCLUSIONS

Junior doctors would value feedback on their prescribing, and are keen to learn from EP errors, develop their clinical prescribing skills and use the EP interface effectively. We identified preferences for EP technology to enable provision of real-time data in combination with feedback to support learning and potentially reduce prescribing errors.

Drug closed-loop management system using mobile technology

BACKGROUND

Drug closed-loop management reflects the level of hospital management and pharmacist service. It is a challenge for hospital pharmacists to realize the whole-process closed-loop management of drugs in hospital pharmacies. Therefore, this study aimed to evaluate the operational effect of using mobile technology to build a closed-loop drug management system.

METHODS

Using mobile technology, replacing the traditional paper dispensing model and constructing a multinode information collection system according to the Healthcare Information and Management Systems Society Standard, we reformed the hospital information system and inpatient pharmacy workflow and then evaluated the new approach using statistical methods.

RESULTS

After the transformation, the entire process of drug data can be traced. Closed-loop management, as well as real-time data verification and control, thereby improves the work efficiency and reduces the drug dispensing time. By reducing the work error rate, the number of dispensing errors decreased from 5 to 1 case/month. The comprehensive dispensing process can achieve the whole workflow of paperless operation and reduce the use of paper A4 by 180,000 pieces per year.

CONCLUSIONS

Mobile technology can improve the service level of pharmacies, enhance the level of drug management and hospital quality management, ensure the safety of medication for inpatients, and significantly reduce the amount of paper used.

Evaluation of the effect of pharmaceutical care during inpatient treatment in a department of neurology: A retrospective study

Common drug-related problems during neurology inpatient treatment can affect expected health results. Some interventions need to be implemented to reduce DRPs. To explore the effect of care from clinical pharmacists during inpatient treatment. Inpatients treated in the department of neurology in the Second Hospital of Shanxi Medical University between January 1 to December 31, 2019, were retrospectively included. Those who received care from the clinical pharmacist service were assigned to the pharma-care group while the other patients were assigned to the control group. From the perspective of drugs, the two groups were compared in terms of types, antimicrobial use, and key monitoring of drug use. From the perspective of patients, the two groups were compared in terms of length of stay, hospital cost, drug cost and proportion. Propensity score matching was used to balance the baseline characteristics. A total of 2684 patients were included 554 in the pharma-care group and 2130 in the control group with a median of 9 days (range, 3-30 days) hospital stay. The groups showed no significant difference in age or gender. Length of stay, the proportion of drug cost, number of adverse events, cost of antibacterial agents, use of a single antibacterial agent, and use of three or more different antibacterial agents were similar between the groups. Medicine expenses cost more in the pharma-care group. The cost and types of intensive monitoring drugs were similar, but Defined Daily Doses were lower in the control group. While clinical pharmacists may play a positive role in the pharmaceutical care of inpatients, in this study the benefits were not obvious. This may be because of the small number of clinical pharmacists in the department of neurology with narrow coverage.

Prevalence, Causes and Severity of Medication Administration Errors in the Neonatal Intensive Care Unit: A Systematic Review and Meta-Analysis

INTRODUCTION

Neonates are at greater risk of preventable adverse drug events as compared to children and adults.

OBJECTIVE

This study aimed to estimate and critically appraise the evidence on the prevalence, causes and severity of medication administration errors (MAEs) amongst neonates in Neonatal Intensive Care Units (NICUs).

METHODS

A systematic review and meta-analysis was conducted by searching nine electronic databases and the grey literature for studies, without language and publication date restrictions. The pooled prevalence of MAEs was estimated using a random-effects model. Data on error causation were synthesised using Reason's model of accident causation.

RESULTS

Twenty unique studies were included. Amongst direct observation studies reporting total opportunity for errors as the denominator for MAEs, the pooled prevalence was 59.3% (95% confidence interval [CI] 35.4-81.3, I² = 99.5%). Whereas, the non-direct observation studies reporting medication error reports as the denominator yielded a pooled prevalence of 64.8% (95% CI 46.6-81.1, I² = 98.2%). The common reported causes were error-provoking environments (five studies), while active failures were reported by three studies. Only three studies examined the severity of MAEs, and each utilised a different method of assessment.

CONCLUSIONS

This is the first comprehensive systematic review and meta-analysis estimating the prevalence, causes and severity of MAEs amongst neonates. There is a need to improve the quality and reporting of studies to produce a better estimate of the prevalence of MAEs amongst neonates. Important targets such as wrong administration-technique, wrong drug-preparation and wrong time errors have been identified to guide the implementation of remedial measures.

The Impact of an Electronic Prescribing Template with Decision Support upon the Prescribing of Subcutaneous Infusions at the End of Life in a Community Setting: A Future Vision for Community Palliative Care

Objectives: To assess the impact of an electronic prescribing template with decision support upon the frequency of prescription errors, guideline adherence (relating to dose ranges), and prescription legality when prescribing continuous subcutaneous infusions (CSCI) in a palliative demographic. Design, setting, and participants: Before-and-after study across a large UK city utilizing local prescribing data taken from patients receiving end-of-life care. Intervention: An electronic prescribing template with decision support. Main outcome measures: The following were assessed: (1) the rate of prescription errors; (2) the proportion of prescriptions specifying a dose range and if the specified range complied with local recommendations; and (3) the proportion of prescriptions specifying legal mixing directions. Results: The intervention was associated with a significant reduction in errors of omission, with all prescriptions clearly stating drug indication, route of administration, drug dose, and infusion duration. The numbers of continuous subcutaneous infusion prescriptions that specified dose ranges were similar at baseline and post-intervention, at 71% (n = 122) and 72% (n = 179), respectively. At baseline, 69% (n = 84) of CSCI prescriptions specifying a dose range were deemed safe, and post-intervention, 97% (n = 173) were determined to be safe. At baseline, mixing directions were not specified correctly on any continuous subcutaneous infusion prescriptions, while post-intervention, such directions were correct on 75% (n = 157; p < 0.05) of the prescriptions. Conclusions: The intervention eliminated errors of omission, ensured the safety of prescribed dose ranges, and improved compliance with legislation surrounding the mixing of multicomponent infusions. Overall, the intervention has the potential to improve patient safety at the end of life and to increase the efficiency of community services.

Drug-related problems among hospitalized hypertensive and heart failure patients and physician acceptance of pharmacists' interventions at a teaching hospital in Ghana

Background

Hypertensive and heart failure patients frequently require multiple drug therapy which may be associated with drug-related problems (DRPs).

Aim

To determine the frequency, types, and predictors of DRPs, and acceptance of pharmacists' interventions among hospitalized hypertensive and heart failure patients.

Method

It was a prospective cross-sectional study at the internal medicine department wards of Korle Bu Teaching Hospital (KBTH) between January and June 2019 using a validated form (the pharmaceutical care form used by clinical pharmacists at the medical department). DRPs were classified based on the Pharmaceutical Care Network Europe (PCNE) Classification scheme for DRPs V8.02. Descriptive and inferential statistics were used for data analysis.

Results

A total of 247 DRPs were identified in 134 patients. The mean number of DRPs was 1.84 (SD: 1.039) per patient. Most DRPs occurred during the prescribing process (40.5%; n(DRPs) = 100), and the highest prescribing problem was untreated indication (11.7%; n = 29). Other frequent DRPs were medication counseling need (25.1%; n = 62), administration errors 10.1%(n = 25), drug interaction (10.5%; n = 26), and "no" or inappropriate monitoring (10.5%; n = 26). The number of drugs received significantly predicted the number of DRPs (adjusted odds ratio [AOR]: 9.85; 95% CI: 2.04-47.50; p < 0.001). Clinical variables were significant predictors of number of DRPs (diabetic status: AOR: 0.41, 95% CI: 0.18-0.98, p < 0.05; statin use: AOR: 0.34, 95% CI: 0.14-0.81, p < 0.05; antiplatelet use: AOR: 5.95, 95% CI: 2.03-17.48, p < 0.01). Average acceptance of interventions by physicians was 71.6% (SD: 11.7). Most (70.6%; n = 48) accepted interventions were implemented by physicians (resolved).

Conclusion

DRPs frequently occur, with most problems identified in the prescribing process. Medication counseling was frequently needed. Patients' number of drugs and clinical factors predicted the occurrence of DRPs. Physicians accepted and implemented most interventions. Our findings suggest that clinical pharmacists have an important role in cardiovascular patient care, but this study should be replicated in other hospitals in Ghana to corroborate these findings.

Safety of Off-Label Pharmacological Treatment in Pediatric Neuropsychiatric Disorders: A Global Perspective From an Observational Study at an Italian Third Level Children’s Hospital

Background: The acquisition of proper and relevant pediatric clinical data is essential to ensure tolerable and effective pediatric drug therapies. In the field of pharmacological treatment of neuropsychiatric disorders, the lack of sufficient high quality scientific evidence for pediatric age results in the frequent need to prescribe off-label drugs. With the aim of improving knowledge about safety profile of off-label drug prescription in children and adolescent with neurological and/or psychiatric disorders, we realized a multidisciplinary pharmacovigilance study.

Materials and methods: An observational retrospective study was conducted to assess the safety of off-label pharmacological therapies in patients aged 0–18 years, admitted to the Neuropsychiatry Unit of the Institute for Maternal and Child Health - IRCCS “Burlo Garofolo” between January 2016 and December 2018. Prescription patterns and adverse drug reactions were evaluated by a multidisciplinary team.

Results: Overall, 230 patients were enrolled, 48% boys (N = 111), 52% girls (N = 119), average age of 10 years, and a total of 534 prescriptions was analyzed. 54.5% (N = 125) of patients had epilepsy, 37.5% (N = 86) suffered from psychiatric disorders, 8% (N = 19) had other neurological disorders. The prevalence of off-label prescriptions was 32% and 50% of the study population received at least one off-label drug. A total of 106 ADRs was detected: 57% of ADRs were due to drug-drug interactions, 30% were due to off-label prescriptions, 10% were due to overdose and 3% were due to improper use. No significant association between emerged ADRs and off label prescriptions was found (Fisher’s exact two-tailed test, p = 1.000). There was significant association between increasing number of administrated drugs and risk of ADRs (OR 1.99; IC95% 1.58–2.5; p = 0.000). Psychiatric disorders were associated with at least three times higher risk to be treated with an off-label drug (OR 3.30; IC95% 2.26–4.83; p = 0.000).

Conclusions: This study shows that off-label prescribing in neuropsychiatric disorders does not pose a greater risk of ADRs than on-label prescribing and highlights unmet clinical needs in pediatric neuropsychopharmacology. The multidisciplinary approach can provide important contributions to improve therapeutic path of these already complex pathologies by careful monitoring of therapeutic appropriateness and drug interactions.

Getting palliative medications right across the contexts of homes, hospitals and hospices: protocol to synthesise scoping review and ethnographic methods in an activity theory analysis

INTRODUCTION

Prescribing and medication use in palliative care is a multistep process. It requires systems coordination and is enacted through activities of patients, informal carers and professionals. This study compares practice to idealised descriptions of what should happen; identifying when, how and why process disturbances impact on quality and safety. Our objectives are to:Document an intended model (phase 1, scoping review).Refine the model with study of practice (phase 2, ethnography).Use the model to pinpoint 'hot' (viewed as problematic by participants) and 'cold' spots (observed as problematic by researchers) within or when patients move across three contexts-hospice, hospital and community (home).Create learning recommendations for quality and safety targeted at underlying themes and contributing factors.

METHODS AND ANALYSIS

The review will scope Ovid Medline, CINAHL and Embase, Google Scholar and Images-no date limits, English language only. The Population (palliative), Concept (medication use), Context (home, hospice, hospital) framework defines inclusion/exclusion criteria. Data will be extracted to create a model illustrating how processes ideally occur, incorporating multiple steps of typical episodes of prescribing and medication use for symptom control. Direct observations, informal conversations around acts of prescribing and medication use, and semistructured interviews will be conducted with a purposive sample of patients, carers and professionals. Drawing on activity theory, we will synthesise analysis of both phases. The analysis will identify when, how and why activities affect patient safety and experience. Generating a rich multivoiced understanding of the process will help identify meaningful targets for improvement.

ETHICS AND DISSEMINATION

Ethical approval granted by the Camden & Kings Cross NHS Regional Ethics Committee (21/LO/0459). A patient and public involvement (PPI) coinvestigator, a multiprofessional steering group and a PPI engagement group are working with the research team. Dissemination of findings is planned through peer-reviewed publications and a stakeholder (policymakers, commissioners, clinicians, researchers, public) report/dissemination event.

Overall performance of a drug-drug interaction clinical decision support system: quantitative evaluation and end-user survey

BACKGROUND

Clinical decision support systems are implemented in many hospitals to prevent medication errors and associated harm. They are however associated with a high burden of false positive alerts and alert fatigue. The aim of this study was to evaluate a drug-drug interaction (DDI) clinical decision support system in terms of its performance, uptake and user satisfaction and to identify barriers and opportunities for improvement.

METHODS

A quantitative evaluation and end-user survey were performed in a large teaching hospital. First, very severe DDI alerts generated between 2019 and 2021 were evaluated retrospectively. Data collection comprised alert burden, override rates, the number of alert overrides reviewed by pharmacists and the resulting pharmacist recommendations as well as their acceptance rate. Second, an e-survey was carried out among prescribers to assess satisfaction, usefulness and relevance of DDI alerts as well as reasons for overriding.

RESULTS

A total of 38,409 very severe DDI alerts were generated, of which 88.2% were overridden by the prescriber. In 3.2% of reviewed overrides, a recommendation by the pharmacist was provided, of which 79.2% was accepted. False positive alerts were caused by a too broad screening interval and lack of incorporation of patient-specific characteristics, such as QTc values. Co-prescribing of a non-vitamin K oral anticoagulant and a low molecular weight heparin accounted for 49.8% of alerts, of which 92.2% were overridden. In 88 (1.1%) of these overridden alerts, concurrent therapy was still present. Despite the high override rate, the e-survey revealed that the DDI clinical decision support system was found useful by prescribers.

CONCLUSIONS

Identified barriers were the lack of DDI-specific screening intervals and inclusion of patient-specific characteristics, both leading to a high number of false positive alerts and risk for alert fatigue. Despite these barriers, the added value of the DDI clinical decision support system was recognized by prescribers. Hence, integration of DDI-specific screening intervals and patient-specific characteristics is warranted to improve the performance of the DDI software.

Medication errors in Jordan: A systematic review

Medication errors (MEs) present a significant issue in health care area, as they pose a threat to patient safety and could occur at any stage of the medication use process. The objective of this systematic review was to review studies reporting the rates, prevalence, and/or incidence of various MEs in different health care clinical settings in Jordan. We searched PubMed, HINARI, Google, and SCOPUS for relevant published studies. We included observational, cross-sectional or cohort studies on MEs targeting adults in different health-care settings in Jordan. A total of 411 records were identified through searching different databases. Following the removal of duplicates, screening of title, abstract and full-text screening, 24 papers were included for the final review step. Prescribing errors was the most common error reported in the included studies, where it was reported in 15 studies. The prevalence of prescribing errors ranged from 0.1% to 96%. Two studies reported unintentional discrepancies and documentation errors as other types of MEs, where the prevalence of unintentional discrepancies ranged from 47% to 67.9%, and the prevalence of documentation errors ranged from 33.7% to 65%. In conclusion, a wide variation was found between the reviewed studies in the error prevalence rates. This variation may be due to the variation in the clinical settings, targeted populations, methodologies employed. There is an imperative need for addressing the issue of MEs and improving drug therapy practice among health-care professionals by introducing education and training.

Medication Order Errors at Hospital Admission Among Children With Medical Complexity

OBJECTIVES

We sought to characterize the nature and prevalence of medication order errors (MOEs) occurring at hospital admission for children with medical complexity (CMC), as well as identify the demographic and clinical risk factors for CMC experiencing MOEs.

METHODS

Prospective cohort study of 1233 hospitalizations for CMC from November 1, 2015, to October 31, 2016, at 2 children's hospitals. Medication order errors at admission were identified prospectively by nurse practitioners and a pharmacist through direct patient care. The primary outcome was presence of at least one MOE at hospital admission. Statistical methods used included χ2 test, Fisher exact tests, and generalized linear mixed models.

RESULTS

Overall, 6.1% (n = 75) of hospitalizations had ≥1 MOE occurring at admission, representing 112 total identified MOEs. The most common MOEs were incorrect dose (41.1%) and omitted medication (34.8%). Baclofen and clobazam were the medications most commonly associated with MOEs. In bivariable analyses, MOEs at admission varied significantly by age, assistance with medical technology, and numbers of complex chronic conditions and medications (P < 0.05). In multivariable analysis, patients receiving baclofen had the highest adjusted odds of MOEs at admission (odds ratio, 2.2 [95% confidence interval, 1.2-3.8]).

CONCLUSIONS

Results from this study suggest that MOEs are common for CMC at hospital admission. Children receiving baclofen are at significant risk of experiencing MOEs, even when orders for baclofen are correct. Several limitations of this study suggest possible undercounting of MOEs during the study period. Further investigation of medication reconciliation processes for CMC receiving multiple chronic, home medications is needed to develop effective strategies for reducing MOEs in this vulnerable population.

Impact of the COVID-19 pandemic on drug-related problems and pharmacist interventions in geriatric acute care units

Objectives

To assess and compare the pharmaceutical analysis on drug management in a geriatric acute care unit prior to and during the COVID-19 pandemic.

Methods

This was a single-centre, retrospective, and comparative cohort study. All Pharmacist Interventions (PIs) carried out in the unit between 27 January 2020 and 30 April 2020 were distinguished according to whether they were conducted prior to or during the first wave of COVID-19. The main outcome measure was the rate of PIs per patient and per prescription lines analysed. Other data collected were the drug class managed by the PI, the Drug Related Problems (DRP) identified, the nature of the advice given, and the acceptance rate by geriatricians.

Results

A total of 355 patients were analysed, with PIs generated for 21.7% of the patients prior to COVID-19, and for 53.4% of the patients during the first wave (p < 0.001). Among the 4402 prescription lines analysed, 54 PIs were carried out for prescriptions prior to COVID-19, and 177 during the first wave (p = 0.002). DRPs were mostly related to anti-infectious drugs during the pandemic (20.3%, p = 0.038), and laxatives prior to the pandemic (13.0%, p = 0.023). The clinical impact of the PIs was mainly moderate (43.7%). The acceptance rate was 59.3%.

Conclusions

A greater amount of DRPs were detected and more therapeutic advice was proposed during the first wave of COVID-19, with a focus on drugs used for the management of COVID-19 rather than geriatric routine treatments. The needs for clinical pharmacists were strengthened during the pandemic.

What Severe Medication Errors Reported to Health Care Supervisory Authority Tell About Medication Safety?

OBJECTIVES

This study investigated severe medication errors (MEs) reported to the National Supervisory Authority for Welfare and Health (Valvira) in Finland and evaluated how the incident documentation applies to learning from errors.

METHODS

This study was a retrospective document analysis consisting of medication-related complaints and authoritative statements investigated by Valvira in 2013 to 2017 (n = 58).

RESULTS

Medication errors caused death or severe harm in 52% (n = 30) of the cases (n = 58). The majority (83%; n = 48) of the incidents concerned patients older than 60 years. Most likely, the errors occurred in prescribing (n = 38; 47%), followed by administration (n = 15; 19%) and monitoring (n = 14; 17%). The error process often included many failures (n = 24; 41%) or more than one health professional (n = 16; 28%). Antithrombotic agents (n = 17; 13%), opioids (n = 10; 8%), and antipsychotics (n = 10; 8%) were the therapeutic groups most commonly involved in the errors. Almost all error cases (91%; n = 53) were assessed as likely or potentially preventable. In 60% (n = 35) of the cases, the organization reported actions taken to improve medication safety after the occurrence of the investigated incident.

CONCLUSIONS

Medication errors reported to the national health care supervisory authority provide a valuable source of risk information and should be used for learning from severe errors at the level of health care systems. High age remains a key risk factor to severe MEs, which may be associated with a wide range of medications including those not typically perceived as high-alert medications or high-risk administration routes. Despite being complex processes, the severe MEs have a great potential to lead to developing systems, processes, resources, and competencies of health care organizations.

Understanding the Potential for Pharmacy Expertise in Palliative Care: The Value of Stakeholder Engagement in a Theoretically Driven Mapping Process for Research

Potentially avoidable medication-related harm is an inherent risk in palliative care; medication management accounts for approximately 20% of reported serious incidents in England and Wales. Despite their expertise benefiting patient care, the routine contribution of pharmacists in addressing medication management failures is overlooked. Internationally, specialist pharmacist support for palliative care services remains under-resourced. By understanding experienced practices (‘what happens in the real world’) in palliative care medication management, compared with intended processes (‘what happens on paper’), patient safety issues can be identified and addressed. This commentary demonstrates the value of stakeholder engagement and consultation work carried out to inform a scoping review and empirical study. Our overall goal is to improve medication safety in palliative care. Informal conversations were undertaken with carers and various specialist and non-specialist professionals, including pharmacists. Themes were mapped to five steps: decision-making, prescribing, monitoring and supply, use (administration), and stopping and disposal. A visual representation of stakeholders’ understanding of intended medicines processes was produced. This work has implications for our own and others’ research by highlighting where pharmacy expertise could have a significant additional impact. Evidence is needed to support best practice and implementation, particularly with regard to supporting carers in monitoring and accessing medication, and communication between health professionals across settings.

The Role of Clinical Pharmacy in Preventing Prescribing Errors in the Emergency Department of a Governmental Hospital in Jordan: A Pre-Post Study

Background: Clinical pharmacists have a vital role in intercepting prescribing errors (PEs) but their impact within a Jordanian hospital emergency department (ED) has never been studied. Objective: To evaluate the impact of clinical pharmacy services on PEs and assess predictors of physicians' acceptance of clinical pharmacists' interventions. Setting: This study was conducted in the ED of the largest governmental hospital in Jordan. Method: This was a pre-post study conducted in October and November 2019 using a disguised observational method. There were 2 phases: control phase (P0) with no clinical interventions, and active phase (P1) where clinical pharmacists prospectively intervened upon errors. The clinical significance of errors was determined by a multidisciplinary committee. The SPSS software version 24 was used for data analysis. Main Outcome Measure: PEs incidence, type, severity, and predictors for physicians' acceptance. Results: Of 18003 patients, 8732 were included in P0 and 9271 in P1. PEs incidence decreased from 24.6% to 5.4%. Contraindication, drug selection, and dosage form error types were significantly reduced from 32.6%, 9.1%, and 3.7% (P0) to 12.6%, 0.0%, and 0.0% (P1), respectively. Albeit not statistically significant, drug-drug interaction, drug frequency, and allergy error types were reduced from 4.9%, 3.1%, and 0.1% to 4.5%, 2.5%, and 0.0%, respectively. Significant and serious errors were significantly reduced from 68.7% and 3.0% (P0) to 8.9% and 1.8% (P1), respectively. During P1, most errors were minor (89.3%, 1574/1763), and lethal errors ceased. Predictors for physicians' acceptance were: significant errors (OR 3.1; 95% CI 2.6-4.3; P = 0.03) and non-busy physicians (OR 2.1; 95% CI 1.6-2.7; P = 0.04). Conclusion: Clinical pharmacists significantly reduced PEs in the ED by 76%; most of interventions were significant. Policymakers are advised to implement active clinical pharmacy in the ED.

Severe and fatal medication errors in hospitals: findings from the Norwegian Incident Reporting System

BACKGROUND

Even with global efforts to prevent medication errors, they still occur and cause patient harm. Little systematic research has been done in Norway to address this issue.

OBJECTIVES

To describe the frequency, stage and types of medication errors in Norwegian hospitals, with emphasis on the most severe and fatal medication errors.

METHODS

Medication errors reported in 2016 and 2017 (n=3557) were obtained from the Norwegian Incident Reporting System, based on reports from 64 hospitals in 2016 and 55 in 2017. Reports contained categorical data (eg, patient age, incident date) and free text data describing the incident. The errors were classified by error type, stage in the medication process, therapeutic area and degree of harm, using a modified version of the WHO Conceptual Framework for the International Classification for Patient Safety.

RESULTS

Overall, 3372 reports were included in the study. Most medication errors occurred during administration (68%) and prescribing (24%). The leading types of errors were dosing errors (38%), omissions (23%) and wrong drug (15%). The therapeutic areas most commonly involved were analgesics, antibacterials and antithrombotics. Over half of all errors were harmful (62%), of which 5.2% caused severe harm, and 0.8% were fatal.

CONCLUSIONS

Medication errors most commonly occurred during medication administration. Dosing errors were the most common error type. The substantial number of severe and fatal errors causing preventable patient harm and death emphasises an urgent need for error-prevention strategies. Additional studies and interventions should further investigate the error-prone medication administration stage in hospitals and explore the dynamics of severe incidents.

Characteristics of pharmacist's interventions triggered by prescribing errors related to computerised physician order entry in French hospitals: a cross-sectional observational study

OBJECTIVES

Computerised physician order entry (CPOE) systems facilitate the review of medication orders by pharmacists. Reports have emerged that show conception flaws or the misuse of CPOE systems generate prescribing errors. We aimed to characterise pharmacist interventions (PIs) triggered by prescribing errors identified as system-related errors (PISREs) in French hospitals.

DESIGN

This was a cross-sectional observational study based on PIs prospectively documented in the Act-IP observatory database from January 2014 to December 2018.

SETTING

PISREs from 319 French computerised healthcare facilities were analysed.

PARTICIPANTS

Among the 319 French hospitals, 232 (72.7%) performed SRE interventions, involving 652 (51%) pharmacists.

RESULTS

Among the 331 678 PIs recorded, 27 058 were qualified as due to SREs (8.2%). The main drug-related problems associated with PISREs were supratherapeutic (27.5%) and subtherapeutic dosage (17.2%), non-conformity with guidelines/contraindications (22.4%) and improper administration (17.9%). The PI prescriber acceptation rate was 78.9% for SREs vs 67.6% for other types of errors. The PISRE ratio was estimated relative to the total number of PIs. Concerning the certification status of CPOE systems, the PISRE ratio was 9.4% for non-certified systems vs 5.5% for certified systems (p<0.001). The PISRE ratio for senior pharmacists was 9.2% and that for pharmacy residents 5.4% (p<0.001). Concerning prescriptions made by graduate prescribers and those made by residents, the PISRE ratio was 8.4% and 7.8%, respectively (p<0.001).

CONCLUSION

Computer-related prescribing errors are common. The PI acceptance rate by prescribers was higher than that observed for PIs that were not CPOE related. This suggests that physicians consider the potential clinical consequences of SREs for patients to be more frequently serious than interventions unrelated to CPOE. CPOE medication review requires continual pharmacist diligence to catch these errors. The significantly lower PISRE ratio for certified software should prompt patient safety agencies to undertake studies to identify the safest software and discard software that is potentially dangerous.

Medication-related adverse events in health care-what have we learned? A narrative overview of the current knowledge

Purpose

Although medication-related adverse events (MRAEs) in health care are vastly studied, high heterogeneity in study results complicates the interpretations of the current situation. The main objective of this study was to form an up-to-date overview of the current knowledge of the prevalence, risk factors, and surveillance of MRAEs in health care.

Methods

Electronic databases (PubMed, MEDLINE, Web of Science, and Scopus) were searched with applicable search terms to collect information on medication-related adverse events. In order to obtain an up-to-date view of MRAEs, only studies published after 2000 were accepted.

Results

The prevalence rates of different MRAEs vary greatly between individual studies and meta-analyses. Study setting, patient population, and detection methods play an important role in determining detection rates, which should be regarded while interpreting the results. Medication-related adverse events are more common in elderly patients and patients with lowered liver or kidney function, polypharmacy, and a large number of additional comorbidities. However, the risk of MRAEs is also significantly increased by the use of high-risk medicines but also in certain care situations. Preventing MRAEs is important as it will decrease patient mortality and morbidity but also reduce costs and functional challenges related to them.

Conclusions

Medication-related adverse events are highly common and have both immediate and long-term effects to patients and healthcare systems worldwide. Conclusive solutions for prevention of all medication-related harm are impossible to create. In the future, however, the development of efficient real-time detection methods can provide significant improvements for event prevention and forecasting.

Mixed-methods study protocol: do national reporting and learning system medication incidents in palliative care reflect patient and carer concerns about medication management and safety?

INTRODUCTION

Approximately 20% of serious safety incidents involving palliative patients relate to medication. These are disproportionately reported when patients are in their usual residence when compared with hospital or hospice. While patient safety incident reporting systems can support professional learning, it is unclear whether these reports encompass patient and carer concerns with palliative medications or interpersonal safety.

AIM

To explore and compare perceptions of (un)safe palliative medication management from patient, carer and professional perspectives in community, hospital and hospice settings.

METHODS AND ANALYSIS

We will use an innovative mixed-methods study design combining systematic review searching techniques with cross-sectional quantitative descriptive analysis and interpretative qualitative metasynthesis to integrate three elements: (1) Scoping review: multiple database searches for empirical studies and first-hand experiences in English (no other restrictions) to establish how patients and informal carers conceptualise safety in palliative medication management. (2)Medication incidents from the England and Wales National Reporting and Learning System: identifying and characterising reports to understand professional perspectives on suboptimal palliative medication management. (3) Comparison of 1 and 2: contextualising with stakeholder perspectives.

PATIENT AND PUBLIC INVOLVEMENT

Our team includes a funded patient and public involvement (PPI) collaborator, with experience of promoting patient-centred approaches in patient safety research. Funded discussion and dissemination events with PPI and healthcare (clinical and policy) professionals are planned.

ETHICS AND DISSEMINATION

Prospective ethical approval granted: Cardiff University School of Medicine Research Ethics Committee (Ref 19/28). Our study will synthesise multivoiced constructions of patient safety in palliative care to identify implications for professional learning and actions that are relevant across health and social care. It will also identify changing or escalating patterns in palliative medication incidents due to the COVID-19 pandemic. Peer-reviewed publications, academic presentations, plain English summaries, press releases and social media will be used to disseminate to the public, researchers, clinicians and policy-makers.

Student and pre-registration pharmacist performance in a UK Prescribing Assessment

Student and pre-registration pharmacist performance in a UK Prescribing Assessment': room for improvement and need for curricular change Background Increasingly the global policy direction is for patient-facing pharmacist prescribers. The 'UK Prescribing Safety Assessment' (PSA) was developed for medical graduates to demonstrate prescribing competencies in relation to the safe and effective use of medicines. Objectives To determine PSA performance of final year undergraduate student pharmacists (year 4) and pre-registration pharmacy graduates (year 5) and explore their opinions on its suitability. Setting Scotland, UK Methods Final year undergraduates (n = 238) and pre-registration pharmacists (n = 167) were briefed and undertook the PSA. PSA questions were mapped to specific thematic areas with 30 questions over 60 min. Data was analysed using descriptive statistics. A questionnaire was completed to gauge opinions on appropriateness of the PSA. Main Outcome Measure PSA scores Results Mean total PSA score for pre-registration pharmacists (64.4, SD 10) was significantly higher than for undergraduates (51.2, SD 12.0,) (p < 0.001). Pre-registration pharmacists performed significantly better across all question areas (all p < 0.001 other than 'adverse drug reactions', p < 0.01). Hospital pre-registration pharmacists performed statistically significantly better than community with higher overall scores (67.4, SD 9.8 v 63.2, SD 9.8, p < 0.05). Positive views on the appropriateness of the approach and the usability of the online interface were obtained from participants. Conclusion Hospital pre-registration pharmacists performed better than the undergraduates, but there is a need to improve prescribing skills in all, most notably in diagnostic skills. The PSA is acceptable to the participants. These results will help inform pharmacy curricula development and provides a cross-disciplinary method of assessment of prescribing competence.

Implementation and evaluation of a good prescribing tip email to reduce junior doctors' prescribing errors

Background

Prescribing errors are common, occurring in 7% of in-patient medication orders in UK hospitals. Foundation Year 1 (F1) doctors have reported a lack of feedback on prescribing as a cause of errors.

Aim

To evaluate the effect of implementing a shared learning intervention to Foundation Year 1 doctors on their prescribing errors.

Methods

A shared learning intervention, ‘good prescribing tip’ emails, were designed and sent fortnightly to F1s to share feedback about common/serious prescribing errors occurring in the hospital. Ward pharmacists identified prescribing errors in newly prescribed in-patient and discharge medication orders for 2 weeks pre- and post-intervention during Winter/Spring 2017. The prevalence of prescribing errors was compared pre- and post-intervention using statistical analysis.

Results

Overall, there was a statistically significant reduction ( p < 0.05) in the prescribing error rate between pre-intervention (441 errors in 6190 prescriptions, 7.1%) and post-intervention (245 errors in 4866 prescriptions, 5.0%). When data were analysed by ward type there was a statistically significant reduction in the prescribing error rate on medical wards (6.8% to 4.5%) and on surgical wards (8.4% to 6.2%).

Conclusions

It is possible to design and implement a shared learning intervention, the ‘good prescribing tip’ email. Findings suggest that this intervention contributed to a reduction in the prevalence of prescribing errors across all wards, thereby improving patient safety.

Dose Verification Errors in Hospitals: Literature Review of the eMAR-based Systems Used by Nurses

BACKGROUND

The effectiveness of the dose verification features of the electronic medication administration record (eMAR) and complementary systems in the hospital setting is not well understood.

PURPOSE

The authors completed a narrative synthesis of literature findings on the effectiveness of eMAR-based systems in the hospital setting.

METHODS

A literature review was carried out across 5 bibliographic databases to evaluate the safety features of current eMAR-based systems in preventing dosing errors and design issues that impede their usability.

RESULTS

While eMAR-based systems are beneficial to reducing order and drug cross-checking errors, safe dose verification features are sporadically available for targeted tasks. Overall, the eMAR had little impact on preventing low to moderate dosing errors. Dosing errors may occur because of error-prone activities that result from system design and work process issues during medication administration.

Pharmacist intervention on prescribing errors: Use of a standardized approach in the inpatient setting

Purpose

The objective of this study was to implement a standardized process across health systems to determine the prevalence and clinical relevance of prescribing errors intercepted by pharmacists.

Methods

This prospective, multicenter, observational study was conducted across 11 hospitals. Pharmacist-intercepted prescribing errors were collected during inpatient order verification over 6 consecutive weeks utilizing a standardized documentation process. The potential harm of each error was evaluated using a modified National Coordinating Council for Medication Error Reporting and Prevention (NCC-MERP) index with physician validation, and errors were stratified into those with potentially low, serious, or life-threatening harm. Endpoints included the median error rate per 1,000 patient days, error type, and potential harm with correlating cost avoidance.

Results

Pharmacists intervened on 7,187 errors, resulting in a mean error rate of 39 errors per 1,000 patient days. Among the errors, 46.6% (n = 3,349) were determined to have potentially serious consequences and 2.4% (n = 175) could have been life-threatening if not intercepted. This equates to $874,000 in avoided cost. The top 3 error types occurring with the highest frequency were “wrong dose/rate/frequency” (n = 2,298, 32.0%), “duplicate therapy” (n = 1,431, 19.9%), and “wrong timing” (n = 960, 13.4%). “Wrong dose/rate/frequency” (n = 49, 28%), “duplicate therapy” (n = 26, 14.9%), and “drug-disease interaction” (n = 24, 13.7%) errors occurred with the highest frequency among errors with potential for life-threatening harm. “Wrong dose/rate/frequency” (n = 1,028, 30.7%), “wrong timing” (n = 573, 17.1%), and “duplicate therapy” (n = 482, 14.4%) errors occurred with the highest frequency among errors with potentially serious harm.

Conclusion

Documentation of pharmacist intervention on prescribing errors via a standardized process creates a platform for multicenter analysis of prescribing error trends and an opportunity for development of system-wide solutions to reduce potential harm from prescribing errors.

Prevalence and Nature of Medication Errors and Medication-Related Harm Following Discharge from Hospital to Community Settings: A Systematic Review

Background

Little is known about the epidemiology of medication errors and medication-related harm following transition from secondary to primary care. This systematic review aims to identify and critically evaluate the available evidence on the prevalence and nature of medication errors and medication-related harm following hospital discharge.

Methods

Studies published between January 1990 and March 2019 were searched across ten electronic databases and the grey literature. No restrictions were applied with publication language or patient population studied. Studies were included if they contained data concerning the rate of medication errors, unintentional medication discrepancies, or adverse drug events. Two authors independently extracted study data.

Results

Fifty-four studies were included, most of which were rated as moderate (39/54) or high (7/54) quality. For adult patients, the median rate of medication errors and unintentional medication discrepancies following discharge was 53% [interquartile range 33–60.5] (n = 5 studies) and 50% [interquartile range 39–76] (n = 11), respectively. Five studies reported adverse drug reaction rates with a median of 27% [interquartile range 18–40.5] and seven studies reported adverse drug event rates with a median of 19% [interquartile range 16–24]. For paediatric patients, one study reported a medication error rate of 66.3% and another an adverse drug event rate of 9%. Almost a quarter of studies (13/54, 24%) utilised a follow-up period post-discharge of 1 month (range 2–180 days). Drug classes most commonly implicated with adverse drug events were antibiotics, antidiabetics, analgesics and cardiovascular drugs.

Conclusions

This is the first systematic review to explore the prevalence and nature of medication errors and adverse drug events following hospital discharge. Targets for future work have been identified.

Electronic supplementary material

The online version of this article (10.1007/s40264-020-00918-3) contains supplementary material, which is available to authorized users.

Antimicrobial Prescribing in the Emergency Department; Who Is Calling the Shots?

Objective: Inappropriate antimicrobial prescribing in the emergency department (ED) can lead to poor outcomes. It is unknown how often the prescribing clinician is guided by others, and whether prescriber factors affect appropriateness of prescribing. This study aims to describe decision making, confidence in, and appropriateness of antimicrobial prescribing in the ED. Methods: Descriptive study in two Australian EDs using both questionnaire and medical record review. Participants were clinicians who prescribed antimicrobials to patients in the ED. Outcomes of interest were level of decision-making (self or directed), confidence in indication for prescribing and appropriateness (5-point Likert scale, 5 most confident). Appropriateness assessment of the prescribing event was by blinded review using the National Antibiotic Prescribing Survey appropriateness assessment tool. All analyses were descriptive. Results: Data on 88 prescribers were included, with 61% making prescribing decisions themselves. The 39% directed by other clinicians were primarily guided by more senior ED and surgical subspecialty clinicians. Confidence that antibiotics were indicated (Likert score: 4.20, 4.35 and 4.35) and appropriate (Likert score: 4.07, 4.23 and 4.29) was similar for juniors, mid-level and senior prescribers, respectively. Eighty-five percent of prescriptions were assessed as appropriate, with no differences in appropriateness by seniority, decision-making or confidence. Conclusions: Over one-third of prescribing was guided by senior ED clinicians or based on specialty advice, primarily surgical specialties. Prescriber confidence was high regardless of seniority or decision-maker. Overall appropriateness of prescribing was good, but with room for improvement. Future qualitative research may provide further insight into the intricacies of prescribing decision-making.

Pharmacist-led educational interventions provided to healthcare providers to reduce medication errors: A systematic review and meta-analysis

INTRODUCTION

Medication errors are avoidable events that can occur at any stage of the medication use process. They are widespread in healthcare systems and are linked to an increased risk of morbidity and mortality. Several strategies have been studied to reduce their occurrence including different types of pharmacy-based interventions. One of the main pharmacist-led interventions is educational programs, which seem to have promising benefits.

OBJECTIVE

To describe and compare various pharmacist-led educational interventions delivered to healthcare providers and to evaluate their impact qualitatively and quantitatively on medication error rates.

METHODS

A systematic review and meta-analysis was conducted through searching Cochrane Library, EBSCO, EMBASE, Medline and Google Scholar from inception to June 2020. Only interventional studies that reported medication error rate change after the intervention were included. Two independent authors worked through the data extraction and quality assessment using Crowe Critical Appraisal Tool (CCAT). Summary odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using a random-effects model for rates of medication errors. Research protocol is available in The International Prospective Register of Systematic Reviews (PROSPERO) under the registration number CRD42019116465.

RESULTS

Twelve studies involving 115058 participants were included. The two main recipients of the educational interventions were nurses and resident physicians. Educational programs involved lectures, posters, practical teaching sessions, audit and feedback method and flash cards of high-risk abbreviations. All studies included educational sessions as part of their program, either alone or in combination with other approaches, and most studies used errors encountered before implementing the intervention to inform the content of these sessions. Educational programs led by a pharmacist were associated with significant reductions in the overall rate of medication errors occurrence (OR, 0.38; 95% CI, 0.22 to 0.65).

CONCLUSION

Pharmacist-led educational interventions directed to healthcare providers are effective at reducing medication error rates. This review supports the implementation of pharmacist-led educational intervention aimed at reducing medication errors.

A theoretically informed, mixed-methods study of pharmacists' aspirations and readiness to implement pharmacist prescribing

Background Studies have highlighted advancing clinical pharmacy practice in Qatar. Objective To explore pharmacists’ aspirations and readiness to implement pharmacist prescribing. Setting Hamad Medical Corporation (HMC), the main provider of secondary and tertiary care. Method A sequential explanatory mixed-methods design. Questionnaire items were derived from the Consolidated Framework of Implementation Research (CFIR), in domains of: awareness/support; readiness; implementation; and facilitators and barriers. Following piloting, all pharmacists (n = 554) were invited to participate. Questionnaire data were analysed using descriptive and inferential statistics with principal component analysis of attitudinal items. Focus groups were recorded, transcribed and analysed using the Framework Approach. Main outcome measure Aspirations and readiness to implement pharmacist prescribing. Results The response rate was 62.8% (n = 348), with respondents highly supportive of implementation in Qatar (median 4, scale 0–5, extremely supportive). The majority (64.9%, n = 226) considered themselves ready, particularly those more senior (p < 0.05) and classifying themselves innovative (p < 0.01). Outpatient (72.9%, n = 221 agreeing) and inpatient (71.1%, n = 218 agreeing) HMC settings were those perceived as being most ready. PCA identified 2 components, with ‘personal attributes’ being more positive than ‘prescribing support’. Facilitators were access to records, organizational/management support and the practice environment, with physician resistance and scope of practice as barriers. Focus groups provided explanation, with themes in CFIR domains of innovation characteristics, characteristics of individuals and the inner setting. Conclusion HMC pharmacists largely aspire, and consider themselves ready, to be prescribers with inpatient and outpatient settings most ready. CFIR domains and constructs identified as facilitators and barriers should be focus for implementation.

Associations of physicians' prescribing experience, work hours, and workload with prescription errors

OBJECTIVE

We aimed to assess associations of physician's work overload, successive work shifts, and work experience with physicians' risk to err.

MATERIALS AND METHODS

This large-scale study included physicians who prescribed at least 100 systemic medications at Sheba Medical Center during 2012-2017 in all acute care departments, excluding intensive care units. Presumed medication errors were flagged by a high-accuracy computerized decision support system that uses machine-learning algorithms to detect potential medication prescription errors. Physicians' successive work shifts (first or only shift, second, and third shifts), workload (assessed by the number of prescriptions during a shift) and work-experience, as well as a novel measurement of physicians' prescribing experience with a specific drug, were assessed per prescription. The risk to err was determined for various work conditions.

RESULTS

1 652 896 medical orders were prescribed by 1066 physicians; The system flagged 3738 (0.23%) prescriptions as erroneous. Physicians were 8.2 times more likely to err during high than normal-low workload shifts (5.19% vs 0.63%, P < .0001). Physicians on their third or second successive shift (compared to a first or single shift) were more likely to err (2.1%, 1.8%, and 0.88%, respectively, P < .001). Lack of experience in prescribing a specific medication was associated with higher error rate (0.37% for the first 5 prescriptions vs 0.13% after over 40, P < .001).

DISCUSSION

Longer hours and less experience in prescribing a specific medication increase risk of erroneous prescribing.

CONCLUSION

Restricting successive shifts, reducing workload, increasing training and supervision, and implementing smart clinical decision support systems may help reduce prescription errors.

A Retrospective Study of Pediatric Medication Errors in Saudi Arabia

Background: The peculiarities of medication errors (MEs) among the pediatric population in the Middle East have not been adequately explored. In this study, we describe the MEs reported at the largest tertiary hospital in Saudi Arabia. Methods: This study is a retrospective analysis of MEs reported by health care professionals at a large tertiary hospital in Saudi Arabia between 2015 and 2016. Results: There were a total of 9123 MEs involving 84 different medications. In total, 109 382 drugs were ordered. Thus, 8.3 MEs per 100 prescriptions were reported during the study period. Thirty-nine errors (0.4%) reached the patient, but did not cause any harm. Transcribing errors accounted for more than half of the MEs (n = 4856, 53.2%). Physicians were the least likely to report an ME (n = 159, 1.7%), whereas pharmacists reported more MEs than any other health care professional (n = 4924, 54%). The most common drug causes of MEs were paracetamol, salbutamol, and amoxicillin, which accounted for 21.0%, 16.6%, and 12.4% of MEs, respectively, over the study period. Conclusions: Medication errors are common in pediatric care, especially for drugs such as paracetamol and amoxicillin that are frequently prescribed. Transcription error was common in this study and is more likely to be reported by pharmacists.

A framework to lower the risk of medication prescribing and dispensing errors: A usability study of an NFC-based mobile application

BACKGROUND

Wrong medication and wrong dosage are major risks in the pharmaceutical industry, as many medication errors occur when dispensing medication. The dispensing process in its current form is limited in verifying the patient's identity before dispensing the medication. Furthermore, this process does not offer a robust method for providing accurate medication intake instructions. Therefore, we have developed a framework to accurately and securely overcome issues associated with transferring patient credentials and prescription information. The long-term goal of this research is to develop a framework to mitigate medication dispensing errors. One of the framework components is the mobile application that uses near-field communication (NFC) to transfer information. Therefore, in this paper, we designed a user study to assess the proposed NFC-based mobile application in terms of usefulness and ease of use compared with the traditional method of picking up a prescribed medication.

METHODS

We conducted a usability study with 21 participants to perform four tasks to simulate the process of picking up a prescribed medication using the proposed NFC application method and the traditional method of picking up medication. Then, we asked the participants to complete two post-questionnaires after using each method to evaluate the participants' experience of the process. Next, we asked the participants to complete an additional questionnaire about the usefulness of the NFC application method. Finally, we conducted semi-structured interviews with the participants to get more evidence to back up the questionnaire answers.

RESULTS

Our findings show that 91% of the participants believe using the NFC application method will improve patient safety during the medication pickup process. Nearly 97% of participants found the NFC application method easy to use. Our findings show that the participants scored lower when using the NFC application method compared with the traditional method when trying to identify the wrong medication after dispensing. In addition, 90% of the participants successfully identified the wrong medication when using the NFC application method, compared to only 38% when using the traditional method. Finally, the results show that the participants preferred using the NFC application method in terms of information availability, security, and privacy.

CONCLUSIONS

The study findings show that the proposed NFC application for managing patients' prescriptions and picking up medication might improve patient safety. The results show that the participants believe the NFC application will mitigate medication dispensing errors, at least from their end. The participants believe the application will provide a fast and accurate method of verifying dispensed medication from the patient end. Moreover, the application will help the patient to track their current prescription, which also helps them remember the medication intake instructions. Finally, the study indicates that the application will provide a secure, private, and accurate method to help verify the patient's identity, thus minimizing medication errors during the medication dispensing process.