Medication errors: an overview for clinicians

A comparison of two user-friendly methods to identify and support correction of misspelled medications

Objective

To identify and support correction of misspelled medication names recorded as free text, we compared the relative effectiveness of two user-friendly methods, used without reliance on clinical knowledge.

Methods

Leveraging the SAS® COMPGED function, fuzzy string search programs examined 1.8 million medication records from 183,600 World Trade Center General Responder Cohort monitoring visits conducted in New York and New Jersey between 7/16/2002 and 3/31/2021, producing replicable generalized edit distance scores between the reported and correct spelling. Scores < 120 were selected as optimal and compared to Stedman's 2020 Plus Medical/Pharmaceutical Spell Checker first suggested word, used as the comparative standard because it employs both spelling and phonetic similarities to suggest matching words. We coded each methods' results as identifying or not identifying the medications within each visit.

Results

Most types of medications (94.4 % anxiety, 98.4 % asthma and 94.6 % ulcer/gastroesophageal reflux disease) were correctly spelled. Cross tabulations assessed the agreement (anxiety 99.9 %, asthma 99.6 % and 98.4 % ulcer/ gastroesophageal reflux disease), false positive (respectively 0.02 %, 0.03 % and 2.0 %) and false negative (respectively 1.9 %, 0.5 % and 1.0 %) values. Scores < 120 occasionally correctly identified medications missed by the spell checker. We observed no difference in medication misspellings across socio-economically and culturally diverse patient characteristics.

Conclusions

Both methods efficiently identified most misspelled medications, greatly minimizing the review and rectification needed. The fuzzy method is more universally applicable for condition-specific medications identification, but requires more programming skills. The spell checker is inexpensive, but benefits from modest programming skills and is only available in some languages.

Medication error rates in Iranian hospitals: a meta-analysis

BACKGROUND AND AIM

Medication errors (MEs) in hospitals decrease patient satisfaction, increase hospital mortality, lower hospital productivity, and increase in the costs of the health system. This study was conducted to determine the rate of MEs in Iranian hospitals.

METHOD

In this meta-analysis, all published articles on ME rates in Iranian hospitals were identified from five databases and Google Scholar and assessed for quality. The heterogeneity of the studies was examined using the I2 index and a meta-regression model was used to evaluate the variables suspected of heterogeneity at the 0.05 significance level. Finally, 17 articles were eligible to be included in this study and were analyzed using the Comprehensive Meta-Analysis (CMA) software.

FINDINGS

Based on the estimation of the random-effects model, the ME rate in Iranian hospitals was 10.9% (5.1%-21.7%; 95% CI). The highest rate was observed in Sanandaj in 2006 at 99.5% (92.6%-100.0%; 95% CI) and the lowest rate was observed in Kashan in 2019 at 0.2% (0.1%-0.3%; 95% CI). In addition, sample size and publication year were significantly correlated with ME rate (P < 0.05).

CONCLUSION

According to the results of this study; ME rate in Iran is relatvively high based on the synthesis of the research conducted in Iranian hospitals. In addition to being costly, MEs have negative consequences for patients. Thereofore, it is necessary to emphasize the voluntary nature of medication error reporting in health sytem of Iran.

Exploring susceptibility factors to medication dispensing errors through a retrospective study of patient-reported dispensing errors over 11 years: are dispensing errors indeed due to personal reasons for pharmacists?

BACKGROUND

Medication dispensing errors cause wastage of medicines and increase healthcare costs, with serious consequences for patients. However, few studies have systematically and completely reviewed dispensing errors, with inadequate attention to the objective regularity and risk factors for dispensing errors.

OBJECTIVES

To explore the potential causes and risk factors influencing the prevalence of medication dispensing errors.

METHODS

We collected patient-reported medication dispensing errors from a large tertiary care hospital in South China over 11 years. We assessed the characteristics of dispensing errors, labelled the causes, compared them with more than 25 million prescriptions from 2012 to 2022, identified the susceptibility factors for the occurrence of dispensing errors, and analysed the characteristics and patterns of the errors.

RESULTS

A total of 376 patient-reported dispensing errors were recorded. It took an average of 5.2 days for a patient to find an error. Only 37.5% of errors were reviewed by the patient within 24 hours. These errors directly contributed to a medication loss of US$188 406. Of the 160 recorded pharmacists, 112 (70%) committed dispensing errors. Dispensing errors were affected by the pharmacists' use of the machine, workload and the length of monthly vacation. Of the dispensing errors, 47.9% (n=180) were caused by medication packaging or names that were similar. Antibiotics (n=32, 8.5%) were the most common types of drugs dispensed incorrectly, and traditional Chinese medicines (n=31, 8.2%) and immunosuppressants (n=21, 5.6%) were the most likely to be dispensed in inaccurate quantities.

CONCLUSIONS

Organising adequate staff and using machines to prepare medicines may be necessary to reduce dispensing errors. When pharmacists have been away from work for more than 72 hours they should find their rhythm in other positions before dispensing medicines. It is more important to prioritise the differentiation of medicines with similar packaging over those with similar names when arranging drug shelving.

Large language models for preventing medication direction errors in online pharmacies

Errors in pharmacy medication directions, such as incorrect instructions for dosage or frequency, can increase patient safety risk substantially by raising the chances of adverse drug events. This study explores how integrating domain knowledge with large language models (LLMs)-capable of sophisticated text interpretation and generation-can reduce these errors. We introduce MEDIC (medication direction copilot), a system that emulates the reasoning of pharmacists by prioritizing precise communication of core clinical components of a prescription, such as dosage and frequency. It fine-tunes a first-generation LLM using 1,000 expert-annotated and augmented directions from Amazon Pharmacy to extract the core components and assembles them into complete directions using pharmacy logic and safety guardrails. We compared MEDIC against two LLM-based benchmarks: one leveraging 1.5 million medication directions and the other using state-of-the-art LLMs. On 1,200 expert-reviewed prescriptions, the two benchmarks respectively recorded 1.51 (confidence interval (CI) 1.03, 2.31) and 4.38 (CI 3.13, 6.64) times more near-miss events-errors caught and corrected before reaching the patient-than MEDIC. Additionally, we tested MEDIC by deploying within the production system of an online pharmacy, and during this experimental period, it reduced near-miss events by 33% (CI 26%, 40%). This study shows that LLMs, with domain expertise and safeguards, improve the accuracy and efficiency of pharmacy operations.

Exploring knowledge, attitudes and practice toward medication therapy management services among pharmacists in Yemen

Medication therapy management (MTM) refers to the activities provided by pharmacists that patients recognize as evidence of care being provided. It encompasses the services that patients value and consider valuable. Many developing nations like Yemen have had poor implementation of MTM services. Thus, this research assessed the Knowledge, Attitudes, and Practices (KAP) of Yemen pharmacists regarding MTM. We conducted a cross-sectional study using a self-administered questionnaire among pharmacists in Sana'a, Yemen. They were recruited through convenience sampling. The alpha level of 0.05 was used to determine statistical significance. Four hundred and sixty-one (461) pharmacists completed the questionnaire. About 70% were working in community pharmacies and 57.3% had (1-5) years of experience in pharmacy practice. The younger pharmacists had a higher level of knowledge than pharmacists with older age with median and IQR of 1.2(1.2-1.4) and 1.2(1-1.4) respectively (p < 0.001). Yemen pharmacists have positive attitudes toward MTM indicating a moderated level of attitudes with a median and IQR of 3.8(3.5-4). Hospital pharmacists expressed more positive attitudes toward MTM (P < 0.001) than pharmacists from other areas of practice. Only 11% of sampled pharmacists frequently offered MTM services. The top MTM service reported by Yemen pharmacists was "Performing or obtaining necessary assessments of the patient's health status". However, "Formulating a medication treatment plan" received the least provided MTM service among Yemen pharmacists. Even though MTM services are not commonly utilized in pharmacy practice, Yemeni pharmacists have positive attitudes concerning MTM. Efforts are needed to enhance their MTM knowledge and the value of providing MTM services as well as to develop a culture of continuing pharmacy education about MTM among pharmacists.

Reducing Discharge Medication Reconciliation Errors at a Pediatric Neurology Inpatient Unit

Background and Objectives

Medication reconciliation errors are a common problem in health care, particularly during transitions of care. Discharge medication reconciliation (DMR) errors in a pediatric setting can range from 26% to 42.2%. We conducted a quality improvement project to decrease DMR error rate at Dayton Children's Hospital in Dayton, Ohio.

Methods

We conducted 2 interventions, each with 3 Plan-Do-Study-Act cycles from September 2021 through February 2023. The first intervention focused on using current specialty neurology nurses as scribes and creating a template note to include the plan of care and review of DMR before discharge. Our second intervention consisted of standardizing the seizure rescue medication order by creating an order panel within our electronic medical record system for all the rescue medications presently available. Medication errors were documented by the specialty neurology nurse during a phone conversation on the next business day post discharge. DMR error rates were calculated for each week using a control chart. Medication errors and patient harm were classified according to the National Coordinating Council for Medication Error Reporting and Prevention Index.

Results

One hundred six errors were noted. Of these, 98 (92%) occurred in patients with seizure and 64 (60%) were related to prescription of seizure rescue medication specifically. The baseline error rate was calculated at 15.7% or 7 errors per month (January 2021 through June 2021). The average error rate dropped from 15.7% to 5.3% (2 errors per month) after initiation of our first intervention (September 2021). Twelve weeks after initiation of the second intervention, a 2.9% (1 error per month) was noted. Afterward, there was a ten-week period of 0% errors.

Discussion

Sustainable reduction of DMR errors in pediatric patients with epilepsy was achieved by using specialty neurology nurses to scribe the care plan and creating order panels to facilitate accuracy of discharge medication orders without additional cost to the hospital.

Study to evaluate awareness about medication errors and impact of an educational intervention among healthcare personnel in a cancer hospital

INTRODUCTION

Medication errors (MEs) are preventable incidents that can result in harm to patients. Therefore, it is essential for healthcare professionals (HCPs) to be well-informed about MEs. This study aims to assess the awareness levels of HCPs and the impact of educational intervention on their understanding of MEs.

METHODS

Responses to a 17-question structured, self-administered questionnaire assessing the awareness of HCPs regarding fundamental aspects of MEs, ME reporting systems, and their ability to make recommendations for improving the system for handling the MEs were collected both before and after two weeks of educational intervention administration.

RESULTS

Of a total of 114 HCPs who initially participated in the study, six dropped following the intervention. The awareness regarding the Class A questionnaire was good in most physicians (60%), nurses (60%), and pharmacists (57%) before the intervention, which improved postintervention, with physicians (80%), nurses (32%), and pharmacists (78%) demonstrating excellent awareness. The awareness level in the Class B questionnaire was also improved to excellent in most physicians (70%), pharmacists (85%), and nurses (85%) following the intervention, while it was excellent only in 50%, 35%, and 1% of physicians, pharmacists, and nurses, respectively, preintervention. In the Class C questionnaire, most physicians (40%) and nurses (60%) had good awareness, while pharmacists (35%) demonstrated excellent awareness preintervention. Postintervention, most physicians (70%), nurses (77%), and pharmacists (64%) exhibited excellent awareness.

CONCLUSION

Most oncology practice HCPs demonstrate a good to average level of awareness regarding MEs. Clinical pharmacists' educational interventions can significantly enhance awareness among HCPs concerning MEs.

Development and implementation of medication-related clinical rules for obstetrics, gynaecology, and paediatric outpatients

OBJECTIVES

Prescription errors can cause serious adverse drug events. Clinical decision support systems prevent prescription errors; however, real-time clinical rules in obstetrics, gynaecology, and paediatric outpatients remain unexplored. We evaluated the effects of localised, real-time clinical rules on alert rates and acceptance rates compared with manual prescription review.

METHODS

We developed real-time clinical rules that incorporate information systems to obtain characteristic information and laboratory values. We conducted a retrospective cohort study to compare the alert and recommendation acceptance rates of all prescription error types before and after clinical rule implementation in obstetrics, gynaecology, and paediatrics. Clinical rules, prescription error types, and alerts were determined by a prescribing review committee comprising physicians, pharmacists, nurses, and administrators. The difference in alert and acceptance rates between the groups was analysed using relative risk.

RESULTS

The number of alerts increased after clinical rules implementation; the number of on-duty pharmacists for review decreased from 10 to 2. Compared with those with manual review, the alert rates for paediatrics and obstetrics and gynaecology increased with the clinical rules by 3.97- and 11.26-fold, respectively, and the alert rates for drug-drug interactions (DDIs) and combined medication errors in obstetrics and gynaecology increased with the clinical rules by 26.10- and 26.54-fold, respectively. In paediatrics, the alert rate for all prescription error types was higher with the clinical rules review than with the manual review; the alert rates for DDI, dosage, and combination medication errors were significantly different between the clinical rules and the manual review. However, there was no difference in the recommendation acceptance rate between the manual review and the clinical rules.

CONCLUSIONS

Clinical rules can identify prescription errors that manual review cannot detect and ensure real-time review efficiency in high-volume outpatient prescription settings. The high acceptance rate and modification of prescriptions may be relevant to highly customised and localised clinical rules.

Regular Medications in the Emergency Department Short Stay Unit (ReMedIES): Can Prescribing be Improved Without Increasing Resources?

Background: Hospital medication errors are frequent and may result in adverse events. Data on non-prescription of regular medications to emergency department short stay unit patients is lacking. In response to local reports of regular medication omissions, a multi-disciplinary team was tasked to introduce corrective emergency department (ED) process changes, but with no additional financing or resources. Aim: To reduce the rate of non-prescription of regular medications for patients admitted to the ED Short Stay Unit (SSU), through process change within existing resource constraints. Methods: A pre- and post-intervention observational study compared regular medication omission rates for patients admitted to the ED SSU. Included patients were those who usually took regular home medications at 08:00 or 20:00. Omissions were classified as clinically significant medications (CSMs) or non-clinically significant medications (non-CSMs). The intervention included reinforcement that the initially treating acute ED doctor was responsible for prescription completion, formal checking of prescription presence at SSU handover rounds, double-checking of prescription completeness by the overnight SSU lead nurse and junior doctor, and ED pharmacist medication reconciliation for those still identified as having regular medication non-prescription at 07:30. Results: For the 110 and 106 patients in the pre- and post-intervention periods, there was a non-significant reduction in the CSM omission rate of -11% (95% CI: -23 to 2), from 41% (95% CI: 32-50) to 30% (95% CI: 21-39). Conclusion: Non-prescription of regular CSMs for SSU patients was not significantly reduced by institution of work practice changes within existing resource constraints.

Root cause analysis of medication errors of the most frequently involved active substances in paediatric patients

BACKGROUND

Use of medicinal products in paediatric patients is identified as a risk factor for the occurrence of medication errors.

OBJECTIVES

To describe and identify root causes of medication errors in children and adolescents spontaneously reported to Agency for Medicinal Products and Medical Devices of Croatia (Agency).

METHOD

Agency's adverse drug reaction database was searched by using the Standardised MedDRA Query: medication errors (Broad) with data lock point set at 30th June 2022. Cases in which medication errors occurred in patients up to 18 years of age were analysed according to the patients' age group and gender, reporter's qualification, seriousness, reported preferred terms and active substances. For the first 30 most frequently reported active substances, an in-depth analysis was performed to identify the root cause of medication errors.

RESULTS

Altogether, 6254 reports were spontaneously reported to the Agency, out of which 1947 (31 %) contained at least one preferred term belonging to Standardised MedDRA Query medication errors. More than half of patients experiencing medication errors belonged to the age group 2-11 years (66 %) and male gender (53 %). The most frequently reported ME PTs included accidental exposure to product by a child (64 %) and accidental overdose (17 %). Medication error root causes for the first 30 most frequently involved active substances included misinterpretation of prescribed dosage due to a very small volume resulting in salbutamol overdose; replacing millilitre and milligram units resulting in paracetamol solution overdose; interchange between medicinal products due to primary package similarities resulting in cholecalciferol overdose and interchange between oral solution and syrup resulting in valproate overdose.

CONCLUSIONS

Healthcare professionals should counsel caregivers about the importance of keeping medicinal products out of children's reach and provide detailed instructions on how to appropriately use medicinal products.

A Model for Monitoring Spontaneously Reported Medication Errors Using the Adjuvanted Recombinant Zoster Vaccine as an Example

A European legislation was put in place for the reporting of medication errors, and guidelines were drafted to help stakeholders in the reporting, evaluation, and, ultimately, minimization of these errors. As part of pharmacovigilance reporting, a proper classification of medication errors is needed. However, this process can be tedious, time-consuming, and resource-intensive. To fulfill this obligation regarding medication errors, we developed an algorithm that classifies the reported errors in an automated way into four categories: potential medication errors, intercepted medication errors, medication errors without harm (i.e., not associated with adverse reaction(s)), and medication errors with harm (i.e., associated with adverse reaction(s)). A fifth category ("conflicting category") was created for reported cases that could not be unambiguously classified as either potential or intercepted medication errors. Our algorithm defines medication error categories based on internationally accepted terminology using the Medical Dictionary for Regulatory Activities (MedDRA®) preferred terms. We present the algorithm and the strengths of this automated way of reporting medication errors. We also give examples of visualizations using spontaneously reported vaccination error data associated with the adjuvanted recombinant zoster vaccine. For this purpose, we used a customized web-based platform that uses visualizations to support safety signal detection. The use of the algorithm facilitates and ensures a consistent way of categorizing medication errors with MedDRA® terms, thereby saving time and resources and avoiding the risk of potential mistakes versus manual classification. This allows further assessment and potential prevention of medication errors. In addition, the algorithm is easy to implement and can be used to categorize medication errors from different databases.

Comparison between proactive and retroactive models of medication reconciliation in patients hospitalized for acute decompensated heart failure

BACKGROUND

Most research on the impact of medication reconciliation on patient safety focused on the retroactive model, with limited attention given to the proactive model.

OBJECTIVE

This study was conducted to compare the proactive and retroactive models in patients hospitalized for acute decompensated heart failure.

METHODS

This prospective, quasi-experimental study was conducted over six months, from June to November 2022, at the cardiology unit of an academic hospital in Iran. Eligible patients were those hospitalized for acute decompensated heart failure using a minimum of five regular medications before admission. Medication reconciliation was performed in 81 cases using the proactive model and in 81 using the retroactive model.

RESULTS

556 medications were reconciled using the retroactive model, and 581 were reconciled using the proactive model. In the retroactive cases, 341 discrepancies (both intentional and unintentional) were identified, compared to 231 in the proactive cases. The proportion of patients with at least one unintentional discrepancy was significantly lower in the proactive cases than in the retroactive cases (23.80% versus 74.03%). Moreover, the number of unintentional discrepancies was significantly lower in the proactive cases compared to the retroactive cases (22 out of 231 discrepancies versus 150 out of 341 discrepancies). In the retroactive cases, medication omission was the most frequent type of unintentional discrepancy (44.00). About, 42.70% of reconciliation errors detected in the retroactive cases were judged to have the potential to cause moderate to severe harm. While the average time spent obtaining medication history was similar in both models (00:27 [h: min] versus 00:30), the average time needed to complete the entire process was significantly shorter in the proactive model compared to the retroactive model (00:41 min versus 00:51).

CONCLUSION

This study highlighted that the proactive model is a timely and effective method of medication reconciliation, particularly in improving medication safety for high-risk patients.

Enterprise standardization and convergence of large-volume infusion pump drug libraries

PURPOSE

With the implementation of a new electronic health record (EHR) system across Mayo Clinic, a project was approved to standardize and converge 9 region-specific large-volume infusion pump (LVP) drug libraries for Baxter SIGMA Spectrum pumps.

SUMMARY

The objectives of the project were to (1) develop recommendations for identified variances in practice, (2) consolidate regional drug libraries into a converged enterprise library, (3) improve the drug library management process, and (4) maintain or exceed previous Dose Error Reduction System (DERS) compliance for infusions administered. Harmonization efforts with infusion pumps decreased the number of drug libraries maintained, reduced content maintenance time, and increased readiness for smart infusion pump-EHR interoperability. Seven of the 8 regions for which change in DERS compliance was assessed showed improved compliance relative to baseline in the 30-day postwashout period. Furthermore, when comparing pre- and postimplementation DERS compliance, the number of regions meeting the minimum compliance rate of 95% increased from 5 to 6 regions.

CONCLUSION

The project improved the drug library management process, allowed for DERS compliance to be accurately compared across regions, and ensured that patients across the enterprise receive the same standard of care with the administration of intravenous medications.

Multicentre study of medication reconciliation in paediatric onco-hematology

OBJECTIVE

To determine the prevalence of reconciliation errors (RE) on admission to hospital in the paediatric onco-haematological population in order to check whether they are similarly susceptible to these RE as adults and to describe the characteristics of the patients who suffer them.

METHODS

A 12-month prospective, multicentre study of medication reconciliation on admission in the paediatric onco-haematological population to assess the incidence of RE and describe the characteristics of the patients in whom they occur.

RESULTS

Medication reconciliation was performed in 157 patients. At least 1 medication discrepancy was detected in 96 patients. Of the discrepancies detected, 52.1% were justified by the patient's new clinical situation or by the physician, while 48.9% were determined to be RE. The most frequent type of RE was the "omission of a medication", followed by "a different dose, frequency or route of administration". A total of 77 pharmaceutical interventions were carried out, 94.2% of which were accepted. In the group of patients with a number equal to or greater than 4 drugs in home treatment, there was a 2.1-fold increase in the probability of suffering a RE.

CONCLUSIONS

In order to avoid or reduce errors in one of the critical safety points such as transitions of care, there are measures such as medication reconciliation. In the case of complex chronic paediatric patients, such as onco-haematological patients, the number of drugs as part of home treatment is the variable that has been associated with the presence of medication RE on admission to hospital, with the omission of some medication being the main cause of these errors.

[Translated article] Medication reconciliation in pediatric hemato-oncologic patients: A multicenter study

OBJECTIVE

To determine the prevalence of reconciliation errors on admission to hospital in the pediatric onco-hematological population in order to check whether they are similarly susceptible to these reconciliation errors as adults and to describe the characteristics of the patients who suffer them.

METHODS

A 12-month prospective, multicentre study of medication reconciliation on admission in the pediatric onco-hematological population to assess the incidence of reconciliation errors and to describe the characteristics of the patients.

RESULTS

Medication reconciliation was performed in 157 patients. At least a medication discrepancy was detected in 96 patients. Of the discrepancies detected, 52.1% were related to patient's new clinical situation or by the physician, while 48.9% were determined to be reconciliation errors. The most frequent type of reconciliation error was the "omission of a medication", followed by "a different dose, frequency or route of administration". A total of 77 pharmaceutical interventions were carried out, 94.2% of which were accepted. In the group of patients with a number equal to or greater than 4 drugs in home treatment, there was a 2.1-fold increase in the probability of suffering a reconciliation error.

CONCLUSIONS

In order to avoid or reduce errors in one of the critical safety points such as transitions of care, there are measures such as medication reconciliation. In the case of complex chronic pediatric patients, such as onco-hematological patients, the number of drugs as part of home treatment is the variable that has been associated with the presence of medication reconciliation errors on admission to hospital, and the omission of some medication was the main cause of these errors.

Prevalence and Predictors of Inappropriate Antithrombotic Prescription in Patients Presenting With Traumatic Brain Injury

BACKGROUND AND OBJECTIVES

A growing proportion of the US population is on antithrombotic therapy (AT), most significantly within the older subpopulation. Decision to use AT is a balance between the intended benefits and known bleeding risk, especially after traumatic brain injury (TBI). Preinjury inappropriate AT offers no benefit for the patient and also increases the risk of intracranial hemorrhage and worse outcome in the setting of TBI. Our objective was to examine the prevalence and predictors of inappropriate AT among patients presenting with TBI to a Level-1 Trauma Center.

METHODS

A retrospective chart review was performed on all patients with TBI and preinjury AT who presented to our institution between January 2016 and September 2020. Demographic and clinical data were collected. Appropriateness of AT was determined through established clinical guidelines. Clinical predictors were determined by logistic regression.

RESULTS

Of 141 included patients, 41.8% were female (n = 59) and the average age (mean ± SD) was 80.6 ± 9.9. The prescribed antithrombotic agents included aspirin (25.5%, n = 36), clopidogrel (22.7%, n = 32), warfarin (46.8%, n = 66), dabigatran (2.1%, n = 3), rivaroxaban (Janssen) (10.6%, n = 15), and apixaban (Bristol-Myers Squibb Co.) (18.4%, n = 26). The indications for AT were atrial fibrillation (66.7%, n = 94), venous thromboembolism (13.4%, n = 19), cardiac stent (8.5%, n = 12), and myocardial infarction/residual coronary disease (11.3%, n = 16). Inappropriate antithrombotic therapy use varied significantly by antithrombotic indication ( P < .001) with the highest rates seen with venous thromboembolism. Predictive factors also include age ( P = .005) with higher rates younger than 65 years and older than 85 years and female sex ( P = .049). Race and antithrombotic agent were not significant predictors.

CONCLUSION

Overall, 1 in 10 patients presenting with TBI were found to be on inappropriate AT. Our study is the first to describe this problem and warrants investigation into possible workflow interventions to prevent post-TBI continuation of inappropriate AT.

Insights Into Metformin XR Pharmacotherapy Knowledge Among Community Pharmacists: A Cross-Sectional Study

Background

There is a little knowledge on the extent to which healthcare providers understand and accept the professional recommendations and appropriate dosing strategy regarding metformin XR.

Objectives

To evaluate UAE community pharmacists' knowledge, attitude, and practices (KAP) concerning metformin XR.

Methods

This is a cross-sectional research study conducted amongst licensed community pharmacists. The survey took place via a questionnaire and physical interviews were held. The survey used in this study included questions on demographics and questions on the participants' attitudes, knowledge and practices concerning metformin XR. The factors influencing KAP regarding metformin XR were examined via simple logistic regression analysis.

Results

Threehundred fifty-three (n = 353) participants were recruited in the study. Independent pharmacies constituted 57.5% of this study sample and 42.5% were chain pharmacies. The average knowledge score about metformin XR tablets was 42.5% with a confidence interval (CI) of 95% [37.3%, 47.4]. Better knowledge scores on metformin XR tablets was observed in respondents aged ⩾40 years (OR 2.97, 95% CI 1.63-5.4), having greater than 10 years in terms of experience (OR 2.28; 95% CI 1.25-4.16) and pharmacist graduated from Regional or international universities (OR 2.08; 95% CI 1.34-3.24). About 78% (n = 275) of the participants believed that metformin XR tablets have better efficacy and 63.2% (n = 233) indicated that metformin IR was associated with greater adverse effects.

Conclusion

This study demonstrated a distinct gap in knowledge, attitude and practice pertaining to metformin XR among community pharmacists in the UAE. The community pharmacists need to enhance their practice by receiving accurate and reliable data to support their decision-making on the prescribing of metformin XR. The implementation of novel guidelines and evidence dissemination strategies may help bridge this gap.

Implementation Status and Challenges Associated With Implementation of the Targeted Medication Safety Best Practices in a Tertiary Hospital

Background The Institute for Safe Medication Practices (ISMP) is a well-known non-profit organization dedicated to preventing medication errors. Every two years they publish best practices that can reduce the occurrence of medication errors. This study aims to evaluate the implementation status of these best practices and to understand barriers associated with non-implementation at a tertiary hospital in Saudi Arabia. Methodology This was a two-phase qualitative study. First, a survey consisting of the ISMP best practices was sent to employees (mainly heads of departments) to fill out the implementation rate for each best practice. Then an interview or a focus group was conducted to further validate their answers and understand why some best practices were not implemented. Results Our study found that the highest implemented best practices were having strategies to improve safety with high-alert medications (best practice #19, 85.7%), having antidotes and reversal agents readily available (best practice #9, 75%), independent verification of sterile preparation (best practice #11, 75%), and limiting the number of removable medications from the automated dispensing unit by override (best practice #16, 75%). The least implemented best practices were ensuring that oral liquid medications are dispensed in a syringe (best practice #4, 12.5%), maximizing use of barcode verification (best practice #18, 12.5%), purchasing oral liquid dosing devices that display metric scale (best practice #5, 25%), eliminating glacial acetic acid from all areas of the hospital (best practice #6, 28.6%), and eliminating all 1,000 mL of sterile water from all areas outside of the pharmacy (best practice #10, 28.6%). Challenges associated with implementation were related to knowledge, motivation, and opportunity in the environment, with the latter being the highest barrier associated with non-implementation. Conclusions Healthcare providers need to have knowledge about the best practices and the rationale behind them, the motivation to perform them, and the necessary resources to implement the best practices in their hospital.

Knowledge, attitude, and practice of medication therapy management: a national survey among pharmacists in Indonesia

Introduction

The use of medication therapy management (MTM) is a proven method for reducing medication errors. MTM services rely heavily on pharmacists as service providers, particularly in community health centers (CHCs). Thus, understanding the knowledge, attitudes, and practices (KAP) of MTM among pharmacists in CHCs is crucial to the strategy for the implementation of MTM program in Indonesia. This study aimed to assess the level of KAP regarding MTM among pharmacists working at CHCs and its associated factors and investigate pharmacists' perceptions of the barriers and facilitators of MTM provision in the future.

Methods

A cross-sectional online survey was conducted. The respondents were pharmacists working at CHCs in 28 provinces in Indonesia. Descriptive statistics were used to summarize the responses. Demographic differences were determined using Chi-square and Kruskal-Wallis tests, and associations were identified using multivariable ordinal regression for knowledge and multivariable logistic regression for attitude and practice. Barriers and facilitators were determined from codes and categories of frequency derived from pharmacists' responses to the open-ended questions.

Results

Of the 1,132 pharmacists, 74.9% had a high level of knowledge, 53.6% had a positive attitude, and 57.9% had a positive practice toward MTM. Gender, practice settings, province of CHCs, years of practice, and experience in MTM services were factors associated with the KAP level. Respondents perceived that the chronic disease conditions in Indonesia, MTM service features, and current practices were facilitators of MTM provision. The lack of interprofessional collaboration, staff, pharmacist knowledge, patient cooperation, facilities/drug supply/documentation systems, stakeholder support, and patient compliance were the most common barriers to MTM implementation in the future.

Conclusion

Most of the pharmacists had high knowledge of MTM; however, only half had positive attitudes and practices toward MTM. Information about factors associated with the KAP level suggests that direct involvement is essential to improve pharmacists' understanding and view of MTM. Pharmacists also perceived barriers to the MTM provision in the future, such as interprofessional and pharmacist-patient relationships. A training program is needed to improve the KAP of MTM and develop skills for collaborating with other healthcare professionals and communicating with patients.

[Adverse drug events in hospitalized patients: prevalence, causes and risk factors]

OBJECTIVE

To determine prevalence, causes and risk factors of ADE in hospitalized patients of a General Hospital.

METHODS

Observational and analytical case-control study, carried out in patients hospitalized for adverse drug events, treated at the Hospital General Dr. Eduardo Vázquez N, in Puebla, Mexico, between, June 2019 to June 2021. For the statistical analysis, percentages, frequencies, means, odds ratio, χ2, and multiple binary logistic regression were used. Data were analyzed using the Statistical Package for the Social Sciences 23 program.

RESULTS

A total of 132 patients (66 cases and 66 controls) were registered. Of the group of cases, 26 patients treated for medication error and 40 with adverse drug reaction were reported. The prevalence of adverse drug events was 3.6%. The drugs and factors associated with the most reported adverse events were: antibiotics, anti-inflammatories; average age of 35 years (SD: 17.41); gender: 39.3% men, 60.7% women; services re-ported with the greatest attention: Emergencies and Surgery; frequent route of administration: intravenous (32.3%); main symptoms: skin; symptoms associated with adverse drug reactions: type A pruritus [OR: 8.5, p = 0.001(CI95%: 0.035-0.393)], type B pruritus [OR: 11, p = 0.001 (CI95%: 0.021-0.368)]; urticaria [OR: 19, p = 0.005(CI95%: 0.007-0.412)]. Risk factors associated with adverse events were: female gender [OR: 2.6, p = 0.05 (CI95%: 1.33-5.43)], history of allergy [OR: 3.4, p = 0.033 (CI95%: 1.04-8.40)] and prolonged hospital stay [OR: 5.4, p = 0.023 (CI95%: 3.82-6.74)].

CONCLUSIONS

The majority of ADEs were EM or ADR type A, both preventable reactions, so patient safety should be a priority when prescribing.

Potentiality of algorithms and artificial intelligence adoption to improve medication management in primary care: a systematic review

OBJECTIVES

The aim of this study is to investigate the effect of artificial intelligence (AI) and/or algorithms on drug management in primary care settings comparing AI and/or algorithms with standard clinical practice. Second, we evaluated what is the most frequently reported type of medication error and the most used AI machine type.

METHODS

A systematic review of literature was conducted querying PubMed, Cochrane and ISI Web of Science until November 2021. The search strategy and the study selection were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the Population, Intervention, Comparator, Outcome framework. Specifically, the Population chosen was general population of all ages (ie, including paediatric patients) in primary care settings (ie, home setting, ambulatory and nursery homes); the Intervention considered was the analysis AI and/or algorithms (ie, intelligent programs or software) application in primary care for reducing medications errors, the Comparator was the general practice and, lastly, the Outcome was the reduction of preventable medication errors (eg, overprescribing, inappropriate medication, drug interaction, risk of injury, dosing errors or in an increase in adherence to therapy). The methodological quality of included studies was appraised adopting the Quality Assessment of Controlled Intervention Studies of the National Institute of Health for randomised controlled trials.

RESULTS

Studies reported in different ways the effective reduction of medication error. Ten out of 14 included studies, corresponding to 71% of articles, reported a reduction of medication errors, supporting the hypothesis that AI is an important tool for patient safety.

CONCLUSION

This study highlights how a proper application of AI in primary care is possible, since it provides an important tool to support the physician with drug management in non-hospital environments.

Failure mode and effect analysis applied to improve the medication management process in a pharmacy of a teaching hospital and a proposal for a simplified rating system

BACKGROUND

Healthcare is not as safe as it should be and medication error remains a significant source of preventable morbidity and mortality among patients.

OBJECTIVES

To present a failure mode and effect analysis (FMEA) of the medication management process in the pharmacy of the largest teaching hospital in Tunisia. Secondly, to examine the validity of a proposed simplified risk rating method by comparing the degree of concordance with the FMEA rating system in classifying failure modes related to the studied process.

METHODS

The FMEA method was applied to the medication management process in the pharmacy for 5 months from January 2020. For the traditional FMEA rating system, failure modes were prioritised according to the risk priority number, which considers severity, occurrence and non-detectability. Failure modes were classified for the traditional method considering three categories: accepted, requiring control and critical. The proposed rating system was based on two indices: the number of parts, which reflected severity, and the number of causes according to the 5M method (manpower, machines, material, methods and medium), which reflected occurrence. Failure modes were classified for the proposed method considering three categories: low, medium and high. Failure modes were independently analysed to determine the degree of agreement in ranking of risk between the two studied methods. Prioritised failure modes were targeted by decisions and solutions aiming to reduce risk and enhance safety.

RESULTS

Twenty-four failure modes were identified for the six-step process of medication management in a pharmacy (overall criticality=2607). The most critical failure modes were: data error in drugs reception (risk priority number (RPN)=432), break in the cold chain (RPN=320) and non-optimal pharmaceutical analysis (RPN=280). A good agreement was found between the classic FMEA and the proposed rating methods (κ=0.795). A high correlation was shown between the two scorings (r=0.785). Three failure modes were underestimated by the proposed rating method.

CONCLUSIONS

An FMEA study on the medication management process in a teaching pharmacy showed that FMEA is an effective, proactive risk assessment that enables a better understanding of the studied process. The proposed risk scoring permits a good concordance with the classic method, with the advantage of being fast. Targeting the identified risks will allow integration into a continuous process of improvement and increase patient safety.

Application of Teeth in Toxicological Analysis of Decomposed Cadavers Using a Carbamazepine-Administered Rat Model

In a regular autopsy, blood and organs are used to quantify drug and toxicant concentrations; however, specimens such as blood cannot be collected from highly decomposed corpses, making the quantification of drug and toxicants impossible. This study aimed to estimate the blood carbamazepine (CBZ) concentration from teeth, a part of the human body that is best preserved after death. We sampled teeth and blood of rats administered CBZ. The correlation between the tooth and serum CBZ concentrations was analyzed. Rats were euthanized after CBZ administration and kept at 22 °C for 0 to 15 days before sampling the teeth and measuring the CBZ concentration. Undecalcified, fresh, frozen sections of rat teeth were prepared, and CBZ localization was evaluated. CBZ concentrations in both teeth and cardiac blood peaked at 60 min after administration and increased in a dose-dependent manner. CBZ concentration in teeth did not substantially change after death, with high CBZ distribution being observed in the pulp cavity. The tooth and serum CBZ concentrations were highly correlated, suggesting that the measurement of toxicant concentration in sampled teeth would allow for the estimation of blood toxicant concentration in highly decomposed corpses.

Research status and hotspots of medication safety in older adults: A bibliometric analysis

Background

Medication safety is a significant concern in healthcare. Research on medication safety for older adults has taken a broad approach, resulting in a range of proposals. At this juncture, it is necessary to identify the main contributors and establish the current developmental status of the principal research topics.

Objective

This study sets out to summarize the state-of-the-art in medication safety for older adults, identifying significant achievements, key topics, and emerging trends.

Methods

The Web of Science Core Collection (WOSCC) database was searched for relevant documentation over the interval 1st January 2000 to 31st December 2021. Annual outputs and citations were identified from the WOS citation reports. CiteSpace and VOSviewer were adopted for bibliometric analysis and visualization that included the distribution of countries/regions, organizations, authors and journals, and an analysis of co-cited references and keywords.

Results

A total of 1,638 documents were retrieved for bibliometric analysis, yielding 34.29 citations per document. Publications have increased over the past two decades, reaching 177 outputs in 2019. Our database encompasses 71 countries/regions, 2,347 organizations, and 7,040 authors. The United States ranks first in terms of scientific activity with 604 publications (36.87%). We have identified the University of Sydney as the most prolific organization (53 publications). J. T. Hanlon, J. H. Gurwitz, D. O'Mahony, and G. Onder are the most influential researchers in terms of publications and citations. The Journal of the American Geriatrics Society ranks first with 89 (5.43%) papers. In terms of major research directions, three topics have been identified from co-cited reference and keyword analysis: (1) estimation of the prevalence and variables associated with polypharmacy and potentially inappropriate medication; (2) analysis of interventions involving pharmacists and the associated impact; (3) patient experience and perception associated with medication use or pharmaceutical care.

Conclusion

Research on medication safety for older adults has progressed significantly over the past two decades. The United States, in particular, has made important contributions to this field. Polypharmacy and potentially inappropriate medication use, interventions involving pharmacists, patient experience and perception represent the current focus of research. Our findings suggest that these directions will continue as research hotspots in the future.

Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events

The purpose of this study was to evaluate perioperative medication-related incidents (medication errors (MEs) and/or adverse medication events (AMEs)) identified by 2 different reporting methods (self-report and direct observation), and to compare the types and severity of incidents identified by each method. We compared perioperative medication-related incidents identified by direct observation in Nanji et al's 2016 study[1] to those identified by self-report via a facilitated incident reporting system at the same 1046-bed tertiary care academic medical center during the same 8-month period. Incidents, including MEs and AMEs were classified by type and severity. In 277 operations involving 3671 medication administrations, 193 MEs and/or AMEs were observed (5.3% incident rate). While none of the observed incidents were self-reported, 10 separate medication-related incidents were self-reported from different (unobserved) operations that occurred during the same time period, which involved a total of 21,576 operations and approximately 280,488 medication administrations (0.004% self-reported incident rate). The distribution of incidents (ME, AME, or both) did not differ by direct observation versus self-report methodology. The types of MEs identified by direct observation differed from those identified by self-report (P = .005). Specifically, the most frequent types of MEs identified by direct observation were labeling errors (N = 37; 24.2%), wrong dose errors (N = 35; 22.9%) and errors of omission (N = 27; 17.6%). The most frequent types of MEs identified by self-report were wrong dose (N = 5; 50%) and wrong medication (N = 4; 40%). The severity of incidents identified by direct observation and self-report differed, with self-reported incidents having a higher average severity (P < .001). The procedure types associated with medication-related incidents did not differ by direct observation versus self-report methodology. Direct observation captured many more perioperative medication-related incidents than self-report. The ME types identified and their severity differed between the 2 methods, with a higher average incident severity in the self-reported data.

Interprofessional survey on medication reconciliation activities in the US Department of Veterans' Affairs: development and validation of an Implementation Readiness Questionnaire

BACKGROUND

Medication reconciliation (MR) can detect medication history discrepancies at interfaces-in-care and help avoid downstream adverse drug events. However, organisations have struggled to implement high-quality MR programmes. The literature has identified systems barriers, including technology capabilities and data interoperability. However, organisational culture as a root cause has been underexplored.

OBJECTIVES

Our objectives were to develop an implementation readiness questionnaire and measure staff attitudes towards MR across a healthcare enterprise.

METHODS

We developed and distributed a questionnaire to 170 Veterans' Health Affairs (VHA) sites using Research Electronic Data Capture (REDCap) software. The questionnaire contained 21 Likert-scale items that measured three constructs, such as: (1) the extent that clinicians valued MR; (2) perceptions of workflow compatibility and (3) perceptions concerning organisational climate of implementation.

RESULTS

8704 clinicians and staff responded to our questionnaire (142 of 170 VHA facilities). Most staff believed reconciling medications can improve medication safety (approximately 90% agreed it was 'important'). However, most (approximately 90%) also expressed concerns about changes to their workflow. One-third of respondents prioritised other duties over MR and reported barriers associated with implementation climate. Only 47% of respondents agreed they had enough resources to address discrepancies when identified.

INTERPRETATION

Our findings indicate that an MR readiness assessment can forecast challenges and inform development of a context-sensitive implementation bundle. Clinicians surveyed struggled with resources, technology challenges and implementation climate. A strong campaign should include clear leadership messaging, credible champions and resources to overcome technical challenges.

CONCLUSIONS

This manuscript provides a method to conduct a readiness assessment and highlights the importance of organisational culture in an MR campaign. The data can help assess site or network readiness for an MR change management programme.

Intercepting Medication Errors in Pediatric In-patients Using a Prescription Pre-audit Intelligent Decision System: A Single-center Study

OBJECTIVES

Medication errors can happen at any phase of the medication process at health care settings. The objective of this study is to identify the characteristics of severe prescribing errors at a pediatric hospital in the inpatient setting and to provide recommendations to improve medication safety and rational drug use.

METHODS

This descriptive retrospective study was conducted at a tertiary pediatric hospital using data collected from Jan. 1st, 2019 to Dec. 31st, 2020. During this period, the Prescription Pre-audit Intelligent Decision System was implemented. Medication orders with potential severe errors would trigger a Level 7 alert and would be intercepted before it reached the pharmacy. Trained pharmacists maintained the system and facilitated decision making when necessary. For each order intercepted by the system the following patient details were recorded and analyzed: patient age, patient's department, drug classification, dosage forms, route of administration, and the type of error.

RESULTS

A total of 2176 Level 7 medication orders were intercepted. The most common errors were associated with drug dosage, administration route, and dose frequency, accounting for 35.2%, 32.8% and 13.2%, respectively. Of all the intercepted oerrors. 53.6% occurred in infants aged < 1 year. Administration routes involved were mainly intravenous, oral and external use drugs. Most alerts came from the neonatology department and constituted 40.5% of the total alerts, followed by the nephrology department 15.9% and pediatric intensive care unit (PICU) 11.3%. As to dosage forms, injections accounted for 50.4% of alerts, with 21.3% attributable to topical solutions, 9.1% to tablets, and 5.7% to inhalation. Anti-infective agents were the most common therapeutic drugs prescribed with errors.

CONCLUSIONS

The Prescription Pre-audit Intelligent Decision System, with the supervision of trained pharmacists can validate prescriptions, increase prescription accuracy, and improve drug safety for hospitalized children. It is a medical service model worthy of consideration.

Development of the Leapfrog Group's Bar Code Medication Administration Standard to Address Hospital Inpatient Medication Safety

ABSTRACT

Medication errors are the most common type of error in hospitals and reflect a leading cause of avoidable harm to patients. Bar code medication administration (BCMA) systems are a technology designed to help intercept medication errors at the point of medication administration. This article describes the process of developing, testing, and refining a standard for BCMA adoption and use in U.S. hospitals, as measured through the Leapfrog Hospital Survey. Building on the published literature and an expert panel's collective experience in studying, implementing, and using BCMA systems, the expert panel recommended a standard with 4 key domains. Leapfrog's BCMA standard provides hospitals with a "how-to guide" on what best practice looks like for using BCMA to ensure safe medication administration at the bedside.

Analysis of medication and prescription background risk factors contributing to oral medication administration errors by nurses: A case-control study

Medication errors, including overdose and underdose, have a significant impact on patients and the medical economy. We need to prevent or avoid recurring medication errors. Therefore, we conducted a survey to identify medication and prescription background risk factors contributing to the administration of medication by nurses. This study surveyed cases of medication administration errors. This study was conducted at Higashinagoya National Hospital from April 1, 2018, to October 31, 2019. Patients' backgrounds and medication and prescription background risk factors were investigated. Three control cases were randomly selected for each medication error case. We defined the group of medication error cases as the medication error group and the group of control cases as the no-medication-error group. A logistic regression analysis was performed for factors related to medication errors. A total of 202 patients were included in the medication error group. The median age and number of medications were 78 years and 7, respectively. A total of 606 cases were included in the no-medication-error group. The median age and number of medications were 77 years and 6, respectively. The factors that exhibited a relationship with the medication error group were the number of administrations per day, dosing frequency on indicated days, prescription and start dates were the same, medications from multiple prescriptions, and continuous use of a medication received prior to admission. This study identified existing medication and prescription background risk factors. Overlapping risk factors from these groups might contribute to medication administration errors. Therefore, reviewing these factors is necessary to avoid recurring medication administration errors.

The concept of errors in medical education: a scoping review

The purpose of this scoping review was to explore how errors are conceptualized in medical education contexts by examining different error perspectives and practices. This review used a scoping methodology with a systematic search strategy to identify relevant studies, written in English, and published before January 2021. Four medical education journals (Medical Education, Advances in Health Science Education, Medical Teacher, and Academic Medicine) and four clinical journals (Journal of the American Medical Association, Journal of General Internal Medicine, Annals of Surgery, and British Medical Journal) were purposively selected. Data extraction was charted according to a data collection form. Of 1505 screened studies, 79 studies were included. Three overarching perspectives were identified: 'understanding errors') (n = 31), 'avoiding errors' (n = 25), 'learning from errors' (n = 23). Studies that aimed at'understanding errors' used qualitative methods (19/31, 61.3%) and took place in the clinical setting (19/31, 61.3%), whereas studies that aimed at 'avoiding errors' and 'learning from errors' used quantitative methods ('avoiding errors': 20/25, 80%, and 'learning from errors': 16/23, 69.6%, p = 0.007) and took place in pre-clinical (14/25, 56%) and simulated settings (10/23, 43.5%), respectively (p < 0.001). The three perspectives differed significantly in terms of inclusion of educational theory: 'Understanding errors' studies 16.1% (5/31),'avoiding errors' studies 48% (12/25), and 'learning from errors' studies 73.9% (17/23), p < 0.001. Errors in medical education and clinical practice are defined differently, which makes comparisons difficult. A uniform understanding is not necessarily a goal but improving transparency and clarity of how errors are currently conceptualized may improve our understanding of when, why, and how to use and learn from errors in the future.

Patient safety culture awareness among healthcare providers in a tertiary hospital in Riyadh, Saudi Arabia

Patient safety is a serious concern in the health care industry. To enhance patient safety, healthcare providers are expected to minimize accidental harm to patients and enhance the quality of patient-centered care. The main objective of this study is to explore the awareness of the patient safety culture among healthcare providers. It is further intended to assess key fields and factors that hinder patient safety adoption and determine the effects of demographic factors on healthcare providers' awareness of patient safety culture. This study applied a cross-sectional quantitative design. It was conducted in a tertiary hospital in Riyadh, Saudi Arabia. The participants consisted of all healthcare providers working in a specific tertiary hospital in Saudi Arabia. A random sampling technique was applied in this study. The study sample size was 409 participants. A valid and reliable questionnaire was used to collect the required data. The T-tests, ANOVA. And regression was used. The study found that there is a moderate level of patient safety culture awareness among healthcare providers. Moreover, the findings also revealed that the age group “31–40” showed statistically different awareness levels as compared to the “more than 50 years' age group” (p = 0.012). Also, this study has found that gender and education have a significant influence on the awareness level of patient safety culture while position and work area have no influence on the awareness level of patient safety culture among healthcare providers. Managers in healthcare institutions should develop speeder response plans and make them part of the patient safety culture. Institutions offering bachelor's degrees and postgraduate in nursing should pay more attention to the subject of patient safety. The government healthcare sector, together with the private healthcare sector, should continuously train healthcare providers on patient safety procedures to improve the patient safety culture. Healthcare providers should be encouraged to report errors made during diagnosis or treatments to avoid them in the future.

"The Impact of Clinical Pharmacist Implemented Education on the Incidence of Prescribing Errors in COVID-19 patients"

Background

Clinical pharmacists have a vital role during COVID-19 pandemic in mitigating medication errors, particularly prescribing errors in hospitals. That is owing to the fact that prescribing errors during the COVID-19 pandemic has increased.

Aim

This study aimed to evaluate the impact of the clinical pharmacist on the rate of prescribing errors on COVID-19 patients in a governmental hospital.

Methods

The study was a pre-post study conducted from March 2020 till September 2020. It included the pre-education phase P0; a retrospective phase where all the prescription for COVID-19 patients were revised by the clinical pharmacy team and prescription errors were extracted. Followed by a one-month period; the clinical pharmacy team prepared educational materials in the form of posters and flyers covering all prescribing errors detected to be delivered to physicians. Then, the post-education phase P1; all prescriptions were monitored by the clinical pharmacy team to assess the rate and types of prescribing errors and the data extracted was compared to that from pre-education phase.

Results

The number of prescribing errors in P0 phase was 1054 while it was only 148 in P1 Phase. The clinical pharmacy team implemented education phase helped to significantly reduce the prescribing errors from 14.7/1000 patient-days in the P0 phase to 2.56 /1000 patient-days in the P1 phase (p-value <0.001).

Conclusion

The clinical pharmacist significantly reduced the rate of prescribing errors in patients with COVID-19 which emphasizes the great role of clinical pharmacists' interventions in the optimization of prescribing in these stressful conditions.

Automation of a tertiary hospital pharmacy drug dispensing system in a lower-middle-income country: A case study and preliminary results

Background

Methods

Results

Conclusion

Assessing the potentiality of algorithms and artificial intelligence adoption to disrupt patient primary care with a safer and faster medication management: a systematic review protocol

INTRODUCTION

In primary care, almost 75% of outpatient visits by family doctors and general practitioners involve continuation or initiation of drug therapy. Due to the enormous amount of drugs used by outpatients in unmonitored situations, the potential risk of adverse events due to an error in the use or prescription of drugs is much higher than in a hospital setting. Artificial intelligence (AI) application can help healthcare professionals to take charge of patient safety by improving error detection, patient stratification and drug management. The aim is to investigate the impact of AI algorithms on drug management in primary care settings and to compare AI or algorithms with standard clinical practice to define the medication fields where a technological support could lead to better results.

METHODS AND ANALYSIS

A systematic review and meta-analysis of literature will be conducted querying PubMed, Cochrane and ISI Web of Science from the inception to December 2021. The primary outcome will be the reduction of medication errors obtained by AI application. The search strategy and the study selection will be conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the population, intervention, comparator and outcome framework. Quality of included studies will be appraised adopting the quality assessment tool for observational cohort and cross-sectional studies for non-randomised controlled trials as well as the quality assessment of controlled intervention studies of National Institute of Health for randomised controlled trials.

ETHICS AND DISSEMINATION

Formal ethical approval is not required since no human beings are involved. The results will be disseminated widely through peer-reviewed publications.

Nurses' knowledge and understanding of obstacles encountered them when administering resuscitation medications: a cross-sectional study from Palestine

BACKGROUND

Medication errors (ME) are one of the most important reasons for patient morbidity and mortality, but insufficient drug knowledge among nurses is considered a major factor in drug administration errors. Furthermore, the complex and stressful systems surrounding resuscitation events increase nursing errors.

AIMS

This study aimed to assess the knowledge about resuscitation medications and understand the obstacles faced by nurses when giving resuscitation medications. Additionally, errors in the reporting of resuscitation medication administration and the reasons that prevented nurses from reporting errors were investigated.

METHODS

A cross-sectional study was conducted in the West Bank, Palestine. Convenient sampling was used to collect data, which was collected via a face-to-face interview questionnaire taken from a previous study. The questionnaire consisted of five parts: demographic data, knowledge of resuscitation medications (20 true/false questions), self-evaluation and causes behind not reporting ME, with suggestions to decrease ME.

RESULTS

A total of 200 nurses participated in the study. Nurses were found to have insufficient knowledge about resuscitation medications (58.6%). A high knowledge score was associated with male nurses, those working in the general ward, the cardiac care unit (CCU), the intensive care unit (ICU) and the general ward. The main obstacles nurses faced when administering resuscitation medication were the chaotic environment in cardiopulmonary resuscitation (62%), the unavailability of pharmacists for a whole day (61%), and different medications that look alike in the packaging (61%). Most nurses (70.5%) hoped to gain additional training. In our study, we found no compatibility in the definition of ME between nurses and hospitals (43.5%).

CONCLUSIONS

Nurses had insufficient knowledge of resuscitation medications. One of the obstacles nurses faced was that pharmacists should appropriately arrange medications, and nurses wanted continuous learning and additional training about resuscitation medications to decrease ME.

Biometric palm vein authentication of psychiatric patients for reducing in-hospital medication errors: a pre-post observational study

OBJECTIVES

This study aimed to evaluate a biometric palm vein authentication system to prevent medication administration errors in psychiatric hospitals.

DESIGN

This is a pre-post observational study.

SETTING

Conventionally, the medication was distributed after a double check. We developed and introduced a new medication administration cart in two psychiatric hospitals in Japan, in which each patient-specific drug box had to be electronically opened only by palm vein authentication.

PARTICIPANTS

A total of 3444 and 3523 patients were present 18 months before and after introducing the cart, respectively. Of the 212 nurses recruited, 28 were excluded due to a lack of experience with the conventional medication administration system and incomplete questionnaires.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was the efficacy of this system by comparing the incidence of medication administration errors before and after introducing the cart. The secondary outcome was a survey regarding nurses' attitudes toward this system.

RESULTS

After introduction of the new system, the number of medication errors due to misidentification of persons relative to the total number of admitted patients was significantly reduced from 6/3444 to 2/3523 (p<0.0001). Among 184 nurses, 182 responded that anxiety regarding administration errors was either reduced or unchanged using this system. Male nurses reported a greater increase in work burden than female nurses (OR=3.11, 95% CI=1.44 to 6.72). Nurses working in chronic care wards reported greater time pressure than nurses working in emergency wards (OR=3.33, 95% CI=1.16 to 9.57). Nurses working in dementia care wards reported a greater patient care burden than nurses working in emergency wards (OR=5.67, 95% CI=1.22 to 26.27).

CONCLUSIONS

This new system might have potential for reducing the patient misidentification risk during medication without increasing the anxiety experienced by nurses concerning administration errors. However, system usability and efficiency must be improved to reduce additional work burden, time pressure and patient care burden.

Pharmacist Intention to Provide Medication Therapy Management Services in Saudi Arabia: A Study Using the Theory of Planned Behaviour

Medication therapy management (MTM) is provided by pharmacists and other healthcare providers, improves patient health status, and increases the collaboration of MTM providers with others. However, little is known about pharmacists’ intention to provide MTM services in Saudi Arabia. This study aimed to predict the pharmacists’ willingness in this nation to commit to providing MTM services there. This study used a cross-sectional questionnaire based on the theory of planned behaviour (TPB). The survey was distributed to 149 pharmacists working in hospital and community pharmacies. It included items measuring pharmacist attitudes, intentions, subjective norms, perceived behavioural control, knowledge about the provision of MTM services, and other sociodemographic and pharmacy practice-related items. The pharmacists had a positive attitude towards MTM services (mean = 6.15 ± 1.12) and strong intention (mean = 6.09 ± 1.15), highly perceived social pressure to provide those services (mean = 5.42 ± 1.03), strongly perceived control over providing those services (mean = 4.98 ± 1.05), and had good MTM knowledge (mean = 5.03 ± 1.00). Pharmacists who completed a pharmacy residency programme and had good knowledge of MTM services and a positive attitude towards them usually strongly intended to provide MTM services. Thus, encouraging pharmacists to complete pharmacy residency programmes and educating them about the importance and provision of MTM services will enhance their motivation to provide them.

A Worldwide Bibliometric Analysis of Published Literature on Medication Errors

OBJECTIVES

The aim of the study was to map the recent literature on medication error to monitor the state of research and explore emerging research fronts. Specifically, the co-occurrences analysis aimed to research the conceptual structure of the medication errors, whereas the coauthorship analysis aimed to research the "authorities" that influenced the academic and political discussion on medication errors.

METHODS

The search for relevant studies was carried out through the Scopus. To map and monitor the state of research on medication error, a preliminary analysis was conducted through the year of publication, type of article, and language. The count of citation shows the most relevant work among those included. Bibliometric analyses were conducted, such as coauthorship analysis and co-occurrences analysis.

RESULTS

The search strategy yielded 5393 articles. Of these, 1267 articles were included. Four main themes emerged from this bibliometric analysis: (a) the exploration of human factors related to health care professionals that increase the risk of medication error, (b) the investigation of behaviors and strategies that can prevent the error in the preparation and administration stage, (c) the analysis of the benefits related to the presence of the pharmacist in hospital settings, and (d) the exploration of the consequences of a medication error and/or adverse effects of drugs.

CONCLUSIONS

For the first time, a bibliometric analysis of medication errors research in the world has been conducted and demonstrated that there is a wealth of contributions already being made that are well aligned to the World Health Organization challenge.

Exploring Pakistani Physicians' Knowledge and Practices Regarding High Alert Medications: Findings and Implications

Introduction: While many low-middle income countries (LMICs), including Pakistan, try and ensure patient safety within available resources, there are considerable concerns with medication use. Unsafe and inappropriate medication use, especially high alert medications (HAMs), is one of the important factors compromising patient safety and quality of care. Besides economic loss, HAMs contribute to greater morbidity, hospitalization, and mortality. Physicians as key members of the provision of healthcare are expected to be well aware of the administration and regulations surrounding HAMs. However, the current status is unknown in Pakistan. Consequently, the objectives of this study were to evaluate the knowledge of Pakistani physicians about the administration, regulation, and practices related to HAMs. This builds on our recently published study with nurses.

Methods: An online cross-sectional study design was used, and data were gathered from the physicians throughout Pakistan using previously used self-administered questionnaires during a period of 5 months (January 1 to May 30, 2021). All data were entered and analyzed using SPSS 22 for Windows.

Results: Physicians (847) who provided consent were enrolled in the study. Most physicians (62.2%) were male, aged between 25 and 30 years (75.2%) and had 2- to 5-year work experience (50.9%). About 27% were working in the emergency departments. The median (IQR) knowledge score for HAMs administration and regulation was 5 (3) and 5 (2), respectively. About 46.4% of respondents were found to have moderate knowledge about HAMs; increasing age, work experience, and higher qualifications were significantly associated (p < 0.05) with better HAMs knowledge. Around 58% had good practices relating to HAMs during their routine work. Median practice scores increased significantly (p < 0.05) with age, work experience, and postgraduate qualification.

Conclusion: Most Pakistani physicians possess moderate knowledge about HAMs administration and regulations. However, their practices relating to the HAMs administration and regulations are typically sub-optimal. Consequently, HAMs awareness needs to be improved by including course content in the current curriculum, provision of hospital-based continuous training programs about patient safety and care, and establishment of multi-disciplinary health care teams, including board-certified pharmacists and specialized nurses, for the effective execution of medication use process in Pakistani hospitals in the future.

Reporting of Discrimination by Health Care Consumers Through Online Consumer Reviews

IMPORTANCE

Little is known about how discrimination in health care relates to inequities in hospital-based care because of limitations in the ability to measure discrimination. Consumer reviews offer a novel source of data to capture experiences of discrimination in health care settings.

OBJECTIVE

To examine how health care consumers perceive and report discrimination through public consumer reviews.

DESIGN, SETTING, AND PARTICIPANTS

This qualitative study assessed Yelp online reviews from January 1, 2011, to December 31, 2020, of 100 randomly selected acute care hospitals in the US. Word filtering was used to identify reviews potentially related to discrimination by using keywords abstracted from the Everyday Discrimination Scale, a commonly used questionnaire to measure discrimination. A codebook was developed through a modified grounded theory and qualitative content analysis approach to categorize recurrent themes of discrimination, which was then applied to the hospital reviews.

EXPOSURES

Reported experiences of discrimination within a health care setting.

MAIN OUTCOMES AND MEASURES

Perceptions of how discrimination in health care is experienced and reported by consumers.

RESULTS

A total of 10 535 reviews were collected. Reviews were filtered by words commonly associated with discriminatory experiences, which identified 2986 reviews potentially related to discrimination. Using the codebook, the team manually identified 182 reviews that described at least 1 instance of discrimination. Acts of discrimination were categorized by actors of discrimination (individual vs institution), setting (clinical vs nonclinical), and directionality (whether consumers expressed discriminatory beliefs toward health care staff). A total of 53 reviews (29.1%) were coded as examples of institutional racism; 89 reviews (48.9%) mentioned acts of discrimination that occurred in clinical spaces as consumers were waiting for or actively receiving care; 25 reviews (13.7%) mentioned acts of discrimination that occurred in nonclinical spaces, such as lobbies; and 66 reviews (36.3%) documented discrimination by the consumer directed at the health care workforce. Acts of discrimination are described through 6 recurrent themes, including acts of commission, omission, unprofessionalism, disrespect, stereotyping, and dehumanizing.

CONCLUSIONS AND RELEVANCE

In this qualitative study, consumer reviews were found to highlight recurrent patterns of discrimination within health care settings. Applying quality improvement tools, such as the Plan-Do-Study-Act cycle, to this source of data and this study's findings may help inform assessments and initiatives directed at reducing discrimination within the health care setting.

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.

The Prescription of Drug Ontology 2.0 (PDRO): More Than the Sum of Its Parts

While drugs and related products have profoundly changed the lives of people around the world, ongoing challenges remain, including inappropriate use of a drug product. Inappropriate uses can be explained in part by ambiguous or incomplete information, for example, missing reasons for treatments, ambiguous information on how to take a medication, or lack of information on medication-related events outside the health care system. In order to fully assess the situation, data from multiple systems (electronic medical records, pharmacy and radiology information systems, laboratory management systems, etc.) from multiple organizations (outpatient clinics, hospitals, long-term care facilities, laboratories, pharmacies, registries, governments) on a large geographical scale is needed. Formal knowledge models like ontologies can help address such an information integration challenge. Existing approaches like the Observational Medical Outcomes Partnership are discussed and contrasted with the use of ontologies and systems using them for data integration. The PRescription Drug Ontology 2.0 (PDRO 2.0) is then presented and entities that are paramount in addressing this problematic are described. Finally, the benefits of using PDRO are discussed through a series of exemplar situation.

Ethical Tenets of PRN Medicines Management in Healthcare Settings: A Clinical Perspective

Prescription and administration of pro re nata (PRN) medications has remained a poorly discussed area of the international literature regarding ethical tenets influencing this type of medication practice. In this commentary, ethical tenets of PRN medicines management from the clinical perspective based on available international literature and published research have been discussed. Three categories were developed by the authors for summarising review findings as follows: 'benefiting the patient', 'making well-informed decision', and 'follow up assessment' as pre-intervention, through-intervention, and post-intervention aspects, respectively. PRN medicines management is mainly intertwined with the ethical tenets of beneficence, nonmaleficence, dignity, autonomy, justice, informed consent, and error disclosure. It is a dynamic process and needs close collaboration between healthcare professionals especially nurses and patients to prevent unethical practice.

Guidelines for Leading a Safe Medication Error Reporting Culture

Background: A safe medication error reporting culture is one that promotes, fosters, and rewards the reporting of errors and events across the spectrum of harm (none to significant harm). For this culture to develop, leaders must key department cultural norms. These cultural norms include making employees feel psychologically safe to report errors, and to establish a culture of error review and follow-up that complies with best practices. Objective: This article reviews how pharmacy leaders can establish this environment by describing (1) setting an appropriate vision for safety as a priority; (2) establishing and actively supporting the concept of psychological safety; and (3) implementing medication error review that support an effective safety culture. Finally, the article discusses a case where the relationships between psychological safety, safety culture, and reporting culture are described. Methods: This article reviews the literature and authors' experiences in designing a safety culture for a pharmacy department. Concluson: A safe reporting culture requires leaders to be humble, engage their staff in dialogue, objectively measure culture, consistently provide feedback, and empower its people. Employing these leadership traits with best practices can improve overall medication safety and the quality of patient-centered pharmacy services.

Preventing dispensing errors through the utilization of lean six sigma and failure model and effect analysis: A prospective exploratory study in China

AIMS

To utilize lean six sigma (LSS) and failure model and effect analysis (FMEA) to prevent dispensing errors in a Chinese teaching hospital.

METHODS

Medication errors (MEs) reported to the China Core Group of the international network for the rational use of drugs (INRUD) by pharmacists at the hospital were collected. Following LSS methodology, the data analysis was structured according to define, measure, analyse, improve, and control (DMAIC) phases, and typical LSS tools (Pareto diagrams, brainstorming sessions) were used to determine the risk factors leading to dispensing errors. FMEA was applied to generate the risk priority numbers (RPNs) of MEs events, and key medications targeted for error prevention strategies were identified through quantitative analysis of the impacts of failure. Finally, corrective measures to prevent MEs were implemented and monitored for efficacy.

RESULTS

Before the implementation of this programme, a total of 603 cases of dispensing errors were reported from the Year 1 to Year 6, reaching an average rate of incidence of 0.33 cases per 10 000 medication orders delivered, and no difference was found between these years (P = .9424). There was also no difference as location, error type, contributing factors, cause classification were considered. We then determined the real cause behind dispensing errors, and a total of 67 medications were targeted for specific error prevention strategies. One year after intervention, progress had been achieved in the following aspects: the incidence rate of dispensing errors was significantly decreased compared with the previous years (0.19, P = .007). Simultaneously, the incidence rate of dispensing errors occurred in outpatient pharmacy (0.04, P = .0008), with junior pharmacists (0.15, P = .0258), with LASA medications (0.06, P = .0319), as well as with memory-based errors were significantly decreased (0.03, P = .0191).

CONCLUSION

The combination of LSS and the FMEA tool can be an efficient approach for helping reduce MEs in pharmacy dispensing.

Investigation of interventions to reduce nurses' medication errors in adult intensive care units: A systematic review

BACKGROUND

Medication errors in adult intensive care units (ICUs) are both frequent and harmful. For nurses, these errors may be multifactorial and multidisciplinary, extending from prescription stage to monitoring of patient response to medication. Therefore, diverse interventions have been developed to optimise the medication process to prevent such errors.

OBJECTIVES

The objective of this systematic review was to identify research investigating interventions that may be effective in reducing the rate of nurses' medication errors in adult ICUs.

METHODS

A systematic search was undertaken of three databases: Cumulative Index of Nursing and Allied Health Literature, Medical Literature Analysis and Retrieval System Online, and EMCARE using a combination of key terms related to "medication errors", "nurses", "interventions", and "intensive care units". The search was limited to studies published in English between 2009 and 2019. Independent screening, quality appraisal, and data extraction were undertaken by two reviewers.

RESULTS

A total of 464 records were identified from database searches. Eleven studies met inclusion criteria: ten were quasi-experimental designs and one was a randomised controlled trial. Studies examined six types of interventions: prefilled syringes, barcode-assisted medication administration, an automated dispensing system, nursing education programs, a protocolised program logic form, and a preventive interventions program with protocols and pharmacist-supported supervision and monitoring. Findings revealed that a prefilled syringe, nurses' education programs, and the protocolised program logic form were most effective in reducing medication errors. For the barcode-assisted medication administration, automated dispensing systems, and a preventive interventions program with protocols and pharmacist-supported supervision and monitoring, results showed wide variability in effectiveness.

CONCLUSION

This review found that the evidence for effective interventions to reduce nurses' medication errors in adult ICUs is limited, due largely to inconsistencies in research design and methods. Therefore, further studies such as randomised controlled trials focusing on a single intervention are required to provide robust evidence of the effectiveness of interventions.

Knowledge, Attitude, and Practice of Metformin Extended-Release Tablets Among Clinicians in China: A Cross-Sectional Survey

Background: Metformin extended-release (XR) is a once-daily alternative conventional immediate-release (IR) tablet for adults with type 2 diabetes.

Aim: This study aimed to investigate the knowledge, attitude, and practice of the use of metformin XR tablets among clinicians.

Methods: We conducted a cross-sectional online survey among endocrinologists, general practitioners, and internists, who are taking routine care of adults with type 2 diabetes in health institutes at all levels in Sichuan Province, China. We designed an online questionnaire including the demographic information, knowledge, attitude, and practice about metformin XR tablets.

Results: We included 158 clinicians, 67.7% of whom were females and 63.9% were from tertiary hospitals. The median age was 39.6 years (ranging between 22 and 62 years). Only 8.2% of the clinicians correctly answered the knowledge questions, 82.3% and 62.0% of the responders assumed that metformin XR had superior efficacy and tolerability to the metformin IR, respectively. Only 46.8% of the clinicians prescribed the metformin XR based on the patient’s preference for once daily frequency.

Conclusion: The knowledge, attitude, and practice of metformin XR among Chinese clinicians need improving. Clinicians need credible information to support their clinical decision-making regarding metformin XR.