Medication errors in emergency departments: a systematic review and meta-analysis of prevalence and severity.

BACKGROUND: Medication errors significantly compromise patient safety in emergency departments. Although previous studies have investigated the prevalence of these errors in this setting, results have varied widely. AIM: The aim was to report pooled data on the prevalence and severity of medication errors in emergency departments, as well as the proportion of patients affected by these errors. METHOD: Systematic searches were conducted in Embase, PubMed, and the Cochrane Library from database inception until June 2023. Studies provided numerical data on medication errors within emergency departments were eligible for inclusion. Random-effects meta-analysis was employed to pool the prevalence of medication errors, the proportion of patients experiencing these errors, and the error severity levels. Heterogeneity among studies was assessed using the I2 statistic and Cochran's Q test. RESULTS: Twenty-four studies met the inclusion criteria. The meta-analysis gave a pooled prevalence of medication errors in emergency departments of 22.6% (95% Confidence Interval [CI] 19.2-25.9%, I2 = 99.9%, p < 0.001). The estimated proportion of patients experiencing medication errors was 36.3% (95% CI 28.3-44.3%, I2 = 99.8%, p < 0.001). Of these errors, 42.6% (95% CI 5.0-80.1%) were potentially harmful but not life-threatening, while no-harm errors accounted for 57.3% (95% CI 14.1-100.0%). CONCLUSION: The prevalence of medication errors, particularly those potentially harmful, underscores potential safety issues in emergency departments. It is imperative to develop and implement effective interventions aimed at reducing medication errors and enhancing patient safety in this setting.

Child Age and Risk of Medication Error: A Multisite Children's Hospital Study.

OBJECTIVE: To examine associations between patient age and medication errors among pediatric inpatients. STUDY DESIGN: Secondary analysis of datasets generated from two tertiary pediatric hospitals: (1) prescribing errors identified from chart reviews for patients on nine general wards at hospital A between April 22 to July 10, 2016, June 20 to September 20, 2017, and June 20 to September 30, 2020; prescribing errors from five wards at hospital B in the same periods; and (2) medication administration errors assessed by direct prospective observation of 5,137 administrations on nine wards at hospital A. Multilevel models examined the association between patient age and medication errors. Age was modeled using restricted cubic splines to allow for nonlinearity. RESULTS: Prescribing errors increased nonlinearly with patient age (P=0.01), showing little association from ages 0 to 3 years and then increasing with age until around 10 years, and remaining constant through the teenage years. Administration errors increased with patient age, with no association from 0 to around 8 years and then a steady rise with increasing age (P=0.03). The association differed by route: linear for oral, no association for intravenous infusions, and U-shaped for intravenous injections. CONCLUSIONS: Older age is an unrecognized risk factor for medication error on general wards in pediatric hospitals. Contributors to risk may be the clinical profiles of these older children or the general level of attention paid to medication practices for this group. Further investigation may allow the design of more targeted interventions to reduce errors.

Optimisation of medication reconciliation using queueing theory: a computer experiment.

BACKGROUND: Medication reconciliation (MedRec) in hospitals is an important tool to enhance the continuity of care, but completing MedRec is challenging. AIM: The aim of this study was to investigate whether queueing theory could be used to compare various interventions to optimise the MedRec process to ultimately reduce the number of patients discharged prior to MedRec being completed. Queueing theory, the mathematical study of waiting lines or queues, has not been previously applied in hospital pharmacies but enables comparisons without interfering with the baseline workflow. METHOD: Possible interventions to enhance the MedRec process (replacing in-person conversations with telephone conversations, reallocating pharmacy technicians (PTs) or adjusting their working schedule) were compared in a computer experiment. The primary outcome was the percentage of patients with an incomplete discharge MedRec. Due to the COVID-19 pandemic, it was possible to add a real-life post hoc intervention (PTs starting their shift later) to the theoretical interventions. Descriptive analysis was performed. RESULTS: The queueing model showed that the number of patients with an incomplete discharge MedRec decreased from 37.2% in the original scenario to approximately 16% when the PTs started their shift 2 h earlier and 1 PT was reassigned to prepare the discharge MedRec. The number increased with the real-life post hoc intervention (PTs starting later), which matches a decrease in the computer experiment when started earlier. CONCLUSION: Using queueing theory in a computer experiment could identify the most promising theoretical intervention to decrease the percentage of patients discharged prior to MedRec being completed.

Is there a relationship between nursing students' perceptions of dishonesty and attitudes towards medical errors?

BACKGROUND: Understanding nursing students' perceptions of dishonesty and their attitudes towards medical errors is crucial for nurse educators. OBJECTIVES: This study aimed to examine the relationship between nursing students' perceptions of dishonesty and their attitudes towards medical errors. DESIGN: This study is descriptive and correlational research. The sample size consisted of 230 nursing students in a Department of Nursing at Kirsehir Ahi Evran University Faculty of Health Sciences in Turkey during the 2022-2023 academic year. The data was collected between May 15-31, 2023. RESULTS: A statistically significant correlation was observed between the total score of the Nursing Student Perceptions of Dishonesty Scale, and the Medical Errors Attitude Scale (p < 0.05). There was a positive and weak correlation between the MEAS scale score and the cheating (r = 0.284, p < 0.05), sabotage (r = 0.275, p < 0.05), perjury (r = 0.308, p < 0.05), non-compliance (r = 0.309, p < 0.05), and stealing (r = 0.359, p < 0.05) sub dimension score, and a positive and very weak correlation between the MEAS score and the sub dimension of not my problem score (r = 0.182, p < 0.05). The perceptions of dishonesty explain 15 % of the attitude towards medical errors (F = 4.563, p < 0.001). CONCLUSIONS: In this study, a significant relationship was observed between nursing students' perceptions of dishonesty and their attitudes towards medical errors. Specifically, as the perception of dishonesty increased, there was a positive change in attitudes towards medical errors. These results offer nurse educators valuable insights into the impact of academic dishonesty on the development of medical error attitudes among student nurses throughout their nursing education and beyond.

Medication discrepancies identified by medication reconciliation among patients with acute coronary syndrome.

Medication errors such as medication discrepancies are known as one of the leading cause of death. Medication discrepancies mostly occur during admission and at time transfer of care and discharge. Medication reconciliation process has pivotal role to avert medication discrepancies and improve patient safety and quality. Patients with acute coronary syndrome (ACS) are prone to medication discrepancies due to acute manifestations, simultaneous use of different medicines and having different co-morbidities. This study aimed to determine medication discrepancies identified by medication reconciliation among patients with ACS. In an observational study, patients with ACS admitted to a specialized Hospital in Baneh County, Kurdistan province during September 2023 and January 2024 were included. Medication reconciliation process was done when the patient was admitted. The history of medicine use was collected through interviews with the patient, their caregivers, as well as observing the medicines that were accompany with the patients. Number and type of unintentional medication discrepancies and related factors were evaluated. A total of 280 ACS patients (mean age: 63.8 ± 14.2, male gender: 59.3%) were included in the study. About 68% had at least 2 underlying diseases. The mean daily medicines taken by the patients during admission were 8.5 ± 1.54. The number (percentage) of unintentional inconsistency was observed in 78 (27.3%), and omission (39.7%) and changes in dosage (20.5%) had the highest frequency of unintentional medication discrepancies, respectively. Cardiovascular agents such as anti-dyslipidemia and antiplatelet had the highest frequency of unintentional medication discrepancies. The number of underlying diseases and daily medications before hospitalization increase the odds of discrepancies by 2.15 and 1.49 times, respectively (p-value < 0.05). Medication discrepancies identified by medication reconciliation among patients is relatively common. Unintentional medication discrepancies that have the potential to harm the ACS patients should be given more attention, especially in patients with multiple comorbidities and polypharmacy.

Med rec double check: Inpatient psychiatry medication errors identified on admission using Medicaid Web portals and electronic pharmaceutical claims data.

Introduction: The role of pharmacists during medication reconciliation (MR) is well established, with a number of reports describing this in the context of psychiatric hospitalizations. However, medication errors (MEs) are common during transitions of care, with no exception during psychiatric hospitalizations. Our institution uses pharmacy-performed MR processes using patient interviews and reviewing objective sources, such as electronic pharmaceutical claims data (EPCD), which includes Medicaid Web portals. The inpatient psychiatric pharmacist reviews EPCD sources against previously pharmacy-completed MRs for new admissions, where if discrepancies are found, the patient is reinterviewed to identify and correct MEs. Methods: We performed a prospective quality improvement project during 28 days to evaluate the quantity and classification of MEs upon admission to a 22-bed inpatient psychiatry unit. Results: Of 52 included patients, where a cumulative 426 medications were reviewed, a total of 29 MEs in 16 patients were identified. Eight patients had discrepancies on their home medication lists when compared to EPCD, where 7 of these had at least 1 ME due to inaccurate MR. Discussion: Of all the MEs identified, the greatest quantity was found secondary to the EPCD "double-check" method. The most common MEs in all patients were the omission of home medications (34%), wrong frequency (28%), and ordering medication the patient is not taking (10%). All patients admitted on long-acting injection antipsychotics had errors in last dose received. No MEs resulted in patient harm, and they were identified and corrected by the psychiatric pharmacist 97% of the time.

A Mathematical Model Based on Stratifying the Severity of Medical Errors for Building Scenarios for Clinical Cases With Branching.

Background There are no mathematical models or score systems available for assessing and creating clinical case simulations based on branching scenario scripts. Objective This study aimed to develop a mathematical model based on stratifying the severity of medical errors for building clinical cases with branching scenarios for clinical simulation. Methods This study was undertaken from August 2020 to August 2023. To build a mathematical model for building scenarios of clinical cases with branching, the classification of the seriousness of medication errors was used. A mathematical model was built for predicting and modeling the development of a clinical situation and as an assessment strategy. The study recruited a total of 34 participants, with 16 participants assigned to the branching scenarios without the mathematical model group and 18 participants assigned to the branching scenarios with the mathematical model group. Results A simple diagram of score based on stratification of the severity of medical errors and correct decisions in clinical practice for building interactive training scenarios with branching was proposed. According to this score system algorithm, each clinical decision-making step is scored points with plus or minus, from 0 to 10. The sum of the points for each block in the decision-making process is then added up. Each step in the overall clinical decision-making strategy is stratified by the proposed algorithm, and finally, the results of internal validation and implementation are presented. Conclusion A mathematical model and score system for building clinical case scenarios based on branching and classification of the seriousness of medication errors was developed. This system could help in the prediction and modeling of the development of events in particular clinical situations and the assessment of competency formation in medical simulation as well.

An observational study of root-cause analysis of medication errors in elderly with methotrexate toxicity.

INTRODUCTION: Medication errors are inherent in a healthcare system. This results in both time and cost burdens for both the patient and the health system. The aim of this study was to conduct a root-cause analysis of medication errors in elderly patients with methotrexate toxicity, analyze associated factors, and propose solutions. METHODS: This single-center prospective study was designed to identify medication errors in cases of methotrexate toxicity between November 2022 to May 2023. Categorical data and free-text data are used to describe incidents. Harm assessment, factors related to medication errors, and preventability were evaluated for each case. Possible strategies to prevent similar occurrences are discussed. RESULTS: Out of a total of 15 patients who presented during the study period, nine suffered from methotrexate toxicity due to medication errors. Most medication errors occurred during prescribing or dispensing (seven cases). Inadequate knowledge about medication and dosage, inadequate communication was identified as a contributing factor for all medication errors. Patients on long-term methotrexate treatment are at high risk of methotrexate toxicity. CONCLUSION: This study highlights the challenges of health literacy and lacking communication between healthcare providers and patients that can be met through community pharmacy programs for the elderly in lower-middle-income countries.

A cross exploratory analysis between nursing working conditions and the occurrence of errors in the northeast region of Brazil.

OBJECTIVES: Analyze and verify the association between working conditions and the occurrence of errors in nursing work. BACKGROUND: Many of the known errors in nursing are based on the structural failure of the complex health service system. Our study addresses the question "Is there an association between errors made by nursing workers and working conditions?" METHODS: The study was carried out through a cross-sectional exploratory analysis of 19 ethical-disciplinary processes focused on errors made by nursing workers. The articles were processed, judged, and archived at the Regional Nursing Councils of the Northeast Region of Brazil from 2000 to 2018. The chi-square test or Fisher's exact test was used to verify the relationship between the variables through multivariate analysis. RESULTS: The analyzes show that working conditions can interfere at occurrence in error. This increases the chance of an "inconsequential" error occurring for the patient in poor/very poor working conditions. The most serious errors, "with consequences irreversible" for the patient, only occur from more severe working conditions. Adversely, it was found that there is no statistically significant difference in the frequency of errors in hospitals (33.33 %) compared to "other places" (28.58 %) when these occurred in poor working conditions. When conducting the incident in poor working conditions, there was a minimum of 52 % protection OR = 0.48 % [0.16; 11.80]; (1-0.48)) against these errors in general in the nursing area. CONCLUSION: The strong association was exposed in working conditions classified as bad/very bad/very bad, resulting in the most serious errors and with irreversible consequences for patients. However, a level of protection for different types of workers was noticed in the field, which shows that there is hope that if the work environment changes with more organization, management, and standards of care, we can prevent future errors.

Incidence of drug-related adverse events related to the use of high-alert drugs: A systematic review of randomized controlled trials.

Background: High-alert medication (HAM) is more predictable to cause significant harm to the patient, even when used as intended. The damage related to the HAM lead not only suffering to the patient, but also raise the additional costs associated with care. Objective: Evaluate the incidence of drug-related adverse events related to the use of high-alert medications. Methods: It was conducted an active search for information through COCHRANE databases, LILACS, SciELO, SCOPUS, PubMed/MEDLINE and WEB OF SCIENCE. The search strategy included the following terms: "Patient safety", "Medication errors" and "Hospital" and "High Alert Medications" or "Dangerous Drugs" in different combinations. Then two reviewers independently conducted a preliminary evaluation of relevant titles, abstracts and finally full-text. Studies quality was evaluated according to PRISMA declaration. Results: The systematic review evaluated seven articles, which showed that only 11 HAM identified in the literature could have serious events. The most frequently cited were warfarin (22.2%) which progressed from deep vein thrombosis to gangrene, suggesting lower initial doses, followed by cyclophosphamide (22.2%) and cyclosporine (22.2%) which presented invasive fungal infection and death. In addition to these, morphine was compared with its active metabolite (M6G), with M6G causing fewer serious clinical events related to nausea and vomiting, reducing the need for concomitant use of antiemetics. Conclusions: The most reported drug classes in the articles included that were related to incidence of drug-related adverse events in use of high-alert medications: morphine, M6G-glucuronide, haloperidol, promethazine, ivabradine, digoxin, warfarin, ximelagatran, cyclophosphamide, cyclosporine, and ATG. The formulate protocols for the use of these medications, with importance placed on evaluating, among the classes, the medication that causes the least harm.

Development and validation of a clinical decision support system to prevent anticoagulant duplications.

BACKGROUND AND OBJECTIVE: Unintended duplicate prescriptions of anticoagulants increase the risk of serious adverse events. Clinical Decision Support Systems (CDSSs) can help prevent such medication errors; however, sophisticated algorithms are needed to avoid alert fatigue. This article describes the steps taken in our hospital to develop a CDSS to prevent anticoagulant duplication (AD). METHODS: The project was composed of three phases. In phase I, the status quo was established. In phase II, a clinical pharmacist developed an algorithm to detect ADs using daily data exports. In phase III, the algorithm was integrated into the hospital's electronic health record system. Alerts were reviewed by clinical pharmacists before being sent to the prescribing physician. We conducted a retrospective analysis of all three phases to assess the impact of the interventions on the occurrence and duration of ADs. Phase III was analyzed in more detail regarding the acceptance rate, sensitivity, and specificity of the alerts. RESULTS: We identified 91 ADs in 1581 patients receiving two or more anticoagulants during phase I, 70 ADs in 1692 patients in phase II, and 57 ADs in 1575 patients in phase III. Mean durations of ADs were 1.8, 1.4, and 1.1 calendar days during phases I, II, and III, respectively. In comparison to the baseline in phase I, the relative risk reduction of AD in patients treated with at least two different anticoagulants during phase III was 42% (RR: 0.58, CI: 0.42-0.81). A total of 429 alerts were generated during phase III, many of which were self-limiting, and 186 alerts were sent to the respective prescribing physician. The acceptance rate was high at 97%. We calculated a sensitivity of 87.4% and a specificity of 87.9%. CONCLUSION: The stepwise development of a CDSS for the detection of AD markedly reduced the frequency and duration of medication errors in our hospital, thereby improving patient safety.

Comparing the Effectiveness of a Clinical Decision Support Tool in Reducing Pediatric Opioid Dose Calculation Errors: PediPain App vs. Traditional Calculators - A Simulation-Based Randomised Controlled Study.

Wrong dose calculation medication errors are widespread in pediatric patients mainly due to weight-based dosing. PediPain app is a clinical decision support tool that provides weight- and age- based dosages for various analgesics. We hypothesized that the use of a clinical decision support tool, the PediPain app versus pocket calculators for calculating pain medication dosages in children reduces the incidence of wrong dosage calculations and shortens the time taken for calculations. The study was a randomised controlled trial comparing the PediPain app vs. pocket calculator for performing eight weight-based calculations for opioids and other analgesics. Participants were healthcare providers routinely administering opioids and other analgesics in their practice. The primary outcome was the incidence of wrong dose calculations. Secondary outcomes were the incidence of wrong dose calculations in simple versus complex calculations; time taken to complete calculations; the occurrence of tenfold; hundredfold errors; and wrong-key presses. A total of 140 residents, fellows and nurses were recruited between June 2018 and November 2019; 70 participants were randomized to control group (pocket calculator) and 70 to the intervention group (PediPain App). After randomization two participants assigned to PediPain group completed the simulation in the control group by mistake. Analysis was by intention-to-treat (PediPain app = 68 participants, pocket calculator = 72 participants). The overall incidence of wrong dose calculation was 178/576 (30.9%) for the control and 23/544 (4.23%) for PediPain App, P < 0·001. The risk difference was - 32.8% [-38.7%, -26.9%] for complex and - 20.5% [-26.3%, -14.8%] for simple calculations. Calculations took longer within control group (median of 69 Sects. [50, 96]) compared to PediPain app group, (median 48 Sects. [38, 63]), P < 0.001. There were no differences in other secondary outcomes. A weight-based clinical decision support tool, the PediPain app reduced the incidence of wrong doses calculation. Clinical decision support tools calculating medications may be valuable instruments for reducing medication errors, especially in the pediatric population.

How much time do emergency department physicians spend on medication-related tasks? A time- and-motion study.

BACKGROUND: Medication-related problems are an important cause of emergency department (ED) visits, and medication errors are reported in up to 60% of ED patients. Procedures such as medication reconciliation and medication review can identify and prevent medication-related problems and medication errors. However, this work is often time-consuming. In EDs without pharmacists, medication reconciliation is the physician's responsibility, in addition to the primary assignments of examining and diagnosing the patient. The aim of this study was to identify how much time ED physicians spend on medication-related tasks when no pharmacists are present in the EDs. METHODS: An observational time-and-motion study of physicians in three EDs in Northern Norway was conducted using Work Observation Method by Activity Timing (WOMBAT) to collect and time-stamp data. Observations were conducted in predefined two-hour observation sessions with a 1:1 relationship between observer and participant, during Monday to Friday between 8 am and 8 pm, from November 2020 to October 2021. RESULTS: In total, 386 h of observations were collected during 225 observation sessions. A total of 8.7% of the physicians' work time was spent on medication-related tasks, of which most time was spent on oral communication about medications with other physicians (3.0%) and medication-related documentation (3.2%). Physicians spent 2.2 min per hour on medication reconciliation tasks, which includes retrieving medication-related information directly from the patient, reading/retrieving written medication-related information, and medication-related documentation. Physicians spent 85.6% of the observed time on non-medication-related clinical or administrative tasks, and the remaining time was spent standby or moving between tasks. CONCLUSION: In three Norwegian EDs, physicians spent 8.7% of their work time on medication-related tasks, and 85.6% on other clinical or administrative tasks. Physicians spent 2.2 min per hour on tasks related to medication reconciliation. We worry that patient safety related tasks in the EDs receive little attention. Allocating dedicated resources like pharmacists to contribute with medication-related tasks could benefit both physicians and patients.

An Assessment of Medication Errors Among Pediatric Patients in Three Hospitals in Freetown Sierra Leone: Findings and Implications for a Low-Income Country.

Background: Pediatric patients are prone to medicine-related problems like medication errors (MEs), which can potentially cause harm. Yet, this has not been studied in this population in Sierra Leone. Therefore, this study investigated the prevalence and nature of MEs, including potential drug-drug interactions (pDDIs), in pediatric patients. Methods: The study was conducted in three hospitals among pediatric patients in Freetown and consisted of two phases. Phase one was a cross-sectional retrospective review of prescriptions for completeness and accuracy based on the global accuracy score against standard prescription writing guidelines. Phase two was a point prevalence inpatient chart review of MEs categorized into prescription, administration, and dispensing errors and pDDIs. Data was analyzed using frequency, percentages, median, and interquartile range. Kruskal-Wallis H and Mann-Whitney U-tests were used to compare the prescription accuracy between the hospitals, with p<0.05 considered statistically significant. Results: Three hundred and sixty-six (366) pediatric prescriptions and 132 inpatient charts were reviewed in phases one and two of the study, respectively. In phase one, while no prescription attained the global accuracy score (GAS) gold standard of 100%, 106 (29.0%) achieved the 80-100% mark. The patient 63 (17.2%), treatment 228 (62.3%), and prescriber 33 (9.0%) identifiers achieved an overall GAS range of 80-100%. Although the total GAS was not statistically significant (p=0.065), the date (p=0.041), patient (p=<0.001), treatment (p=0.022), and prescriber (p=<0.001) identifiers were statistically significant across the different hospitals. For phase two, the prevalence of MEs was 74 (56.1%), while that of pDDIs was 54 (40.9%). There was a statistically positive correlation between the occurrence of pDDI and number of medicines prescribed (r=0.211, P=0.015). Conclusion: A Low GAS indicates poor compliance with prescription writing guidelines and high prescription errors. Medication errors were observed at each phase of the medication use cycle, while clinically significant pDDIs were also reported. Thus, there is a need for training on prescription writing guidelines and medication errors.

The effect of electronic medical records on medication errors, workload, and medical information availability among qualified nurses in Israel- a cross sectional study.

BACKGROUND: Errors in medication administration by qualified nursing staff in hospitals are a significant risk factor for patient safety. In recent decades, electronic medical records (EMR) systems have been implemented in hospitals, and it has been claimed that they contribute to reducing such errors. However, systematic research on the subject in Israel is scarce. This study examines the position of the qualified nursing staff regarding the impact of electronic medical records systems on factors related to patient safety, including errors in medication administration, workload, and availability of medical information. METHODS: This cross-sectional study examines three main variables: Medication errors, workload, and medical information availability, comparing two periods- before and after EMR implementation based on self-reports. A final sample of 591 Israeli nurses was recruited using online private social media groups to complete an online structured questionnaire. The questionnaires included items assessing workload (using the Expanding Nursing Stress Scale), medical information availability (the Carrington-Gephart Unintended Consequences of Electronic Health Record Questionnaire), and medical errors (the Medical Error Checklists). Items were assessed twice, once for the period before the introduction of electronic records and once after. In addition, participants answered open-ended questions that were qualitatively analyzed. RESULTS: Nurses perceive the EMR as reducing the extent of errors in drug administration (mean difference = -0.92 ± 0.90SD, p < 0.001), as well as the workload (mean difference = -0.83 ± 1.03SD, p < 0.001) by ∼ 30% on average, each. Concurrently, the systems are perceived to require a longer documentation time at the expense of patients' treatment time, and they may impair the availability of medical information by about 10% on average. CONCLUSION: The results point to nurses' perceived importance of EMR systems in reducing medication errors and relieving the workload. Despite the overall positive attitudes toward EMR systems, nurses also report that they reduce information availability compared to the previous pen-and-paper approach. A need arises to improve the systems in terms of planning and adaptation to the field and provide appropriate technical and educational support to nurses using them.

Designing a tool ensuring older patients the right medication at the right time after discharge from hospital- the first step in a participatory design process.

BACKGROUND: On average, older patients use five or more medications daily, increasing the risk of adverse drug reactions, interactions, or medication errors. Healthcare sector transitions increase the risk of information loss, misunderstandings, unclear treatment responsibilities, and medication errors. Therefore, it is crucial to identify possible solutions to decrease these risks. Patients, relatives, and healthcare professionals were asked to design the solution they need. METHODS: We conducted a participatory design approach to collect information from patients, relatives, and healthcare professionals. The informants were asked to design their take on a tool ensuring that patients received the correct medication after discharge from the hospital. We included two patients using five or more medications daily, one relative, three general practitioners, four nurses from different healthcare sectors, two hospital physicians, and three pharmacists. RESULTS: The patients' solution was a physical location providing a medication overview, including side effects and interactions. Healthcare professionals suggested different solutions, including targeted and timely information that provided an overview of the patient's diagnoses, treatment and medication. The common themes identified across all sub-groups were: (1) Overview of medications, side effects, and diagnoses, (2) Sharing knowledge among healthcare professionals, (3) Timely discharge letters, (4) Does the shared medication record and existing communication platforms provide relevant information to the patient or healthcare professional? CONCLUSION: All study participants describe the need for a more concise, relevant overview of information. This study describes elements for further elaboration in future participatory design processes aimed at creating a tool to ensure older patients receive the correct medication at the correct time.

Ratios d'incidents et d'accidents totaux et médicamenteux par 1000 jours-présence en établissement de santé au Québec: une étude exploratoire.

Background: Since 2022, it has been mandatory in Québec to report all incidents and accidents (I&As) occurring in health-care facilities. Since 2011, a summary report of these I&As has been published each year. However, it is difficult to compare health facilities given that no denominator is specified and ratios are not calculated. Objective: The primary objective was to calculate the ratios of total I&As and medication-related I&As per 1000 inpatient-days per type of facility for all health-care facilities in Québec. Methods: This retrospective descriptive study was based on data from the period of April 1, 2016, to March 31, 2021. Data were extracted from the National Register of Incidents and Accidents Occurring during the Provision of Health Care and Social Services in Québec (Registre national des incidents et accidents survenus lors de la prestation des soins et services de santé au Québec) and financial reports. The ratios of total I&As/1000 inpatient-days and medication-related I&As/1000 inpatient-days, expressed as the mean ± standard deviation and median [minimum; maximum], were calculated. Results: A total of 85 health-care facilities had usable data, specifically 33 acute-care facilities, 45 long-term care facilities, and 7 rehabilitation facilities. The mean ratio for total I&As/1000 inpatient-days varied from 33 ± 19 to 38 ± 22 in acute-care facilities, from 14 ± 5 to 16 ± 7 in long-term care facilities, and from 99 ± 39 to 147 ± 55 in rehabilitation facilities. The mean ratio for medication-related I&As/1000 inpatient-days varied from 11 ± 7 to 12 ± 7 in acute care facilities, from 3 ± 2 to 4 ± 3 in long-term care facilities, and from 24 ± 10 to 40 ± 21 in rehabilitation facilities. Conclusions: This exploratory study demonstrated the feasibility of calculating I&A ratios from the National Register of Incidents and Accidents Occurring during the Provision of Health Care and Social Services in Québec. These ratios facilitate discussion of the reporting culture of I&As within the health-care system. It is hoped that these ratios will be added to future annual reports from the Québec I&A register.

A Review of Medication Errors and the Second Victim in Pediatric Pharmacy.

The concept of the second victim, described as the sense of victimization of health care professionals following the exposure to a traumatic, unanticipated medical error, was first introduced in 2000 by Albert W. Wu. Since then, the concept has gained immense traction and inspired the generation of assistance programs for second victims. With most second victim occurrences resulting from medication errors, pediatric pharmacists are at a high risk of experiencing second victim phenomenon. Second victims may experience both psychological and physical symptoms of distress often akin to post-traumatic stress disorder. Typical trajectories for second victims, as well as typical support needs, have been previously described, with several organizations responding by creating formal programs designed to support their staff in the events of traumatic workplace experiences. Most support programs involve peer-to-peer support, group sessions, and programs designed to increase coping skills. Additional resources are available for health care workers who do not have formalized support programs at their institution, although these are limited. Despite these resources, institutions across the country have room for additional growth in their support of employees who become second victims to tragedy.

The Impact of Pharmacist Medication Reviews on Geriatric Patients: A Scoping Review.

Medication review is an intervention with the potential to reduce drug-related problems (DRPs) in the elderly. This study aimed to determine the effect of pharmacists' medication reviews on geriatric patients. This study accessed two online databases, MEDLINE Complete and Scopus, and examined all studies published in English between 2019 and 2023, except for reviews. The studies included (1) participants over 65 years of age and (2) medication reviews conducted by pharmacists. The titles, abstracts, and full texts were reviewed for data extraction to determine whether the studies satisfied the inclusion and exclusion criteria. Forty-four of the initial 709 articles were included in this study. The articles included discussions on the incidence rates of DRPs and potentially inappropriate medications (PIMs) (n=21), hospitalization (n=14), medication adherence (n=9), quality of life (QoL) (n=8), and falls (n=7). Pharmacist medication reviews were associated with a reduced incidence of DRPs and PIMs, and improved adherence to medications. Patients' overall QoL is also increasing. However, pharmacist medication reviews were not strongly associated with decreased hospitalization or falls. A pharmacist's medication review may be a feasible intervention for reducing the incidence rates of DRPs and PIMs, regardless of whether it is performed as a sole intervention or supplemented with other interventions. The intervention was also effective in increasing medication adherence and QoL.

A Clinical Pharmacist-Led Transitions of Care Program for Veterans with Two Planned Care Transitions (Hospital to Skilled Care and Skilled Care to Home) amid the COVID-19 Pandemic.

Transitional care teams have been shown to improve patient safety. We describe a novel transitional care team with a clinical pharmacist as team leader initiated amid the COVID-19 pandemic. The program focused on Veterans with 2 planned transitions of care: hospital to skilled nursing facility (SNF) and from SNF to home. Ninety older Veterans were enrolled, and 79 medication errors and 80 appointment errors were identified. We conclude that a pharmacist-led program can improve safety in patients with 2 planned transitions of care.