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.

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.

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.

Inadvertent administration of intravenous anaesthesia induction agents via the intracerebroventricular, neuraxial or peripheral nerve route - A narrative review.

Intravenous (IV) medication administration error remains a major concern during the perioperative period. This review examines inadvertent IV anaesthesia induction agent administration via high-risk routes. Using Medline and Google Scholar, the author searched published reports of inadvertent administration via neuraxial (intrathecal, epidural), peripheral nerve or plexus or intracerebroventricular (ICV) route. The author applied the Human Factors Analysis and Classification System (HFACS) framework to identify systemic and human factors. Among 14 patients involved, thiopentone was administered via the epidural route in six patients. Four errors involved the routes of ICV (propofol and etomidate one each) or lumbar intrathecal (propofol infusion and etomidate bolus). Intrathecal thiopentone was associated with cauda equina syndrome in one patient. HFACS identified suboptimal handling of external ventricular and lumbar drains and deficiencies in the transition of care. Organisational policy to improve the handling of neuraxial devices, use of technological tools and improvements in identified deficiencies in preconditions before drug preparation and administration may minimise future risks of inadvertent IV induction agent administration.

Empowering Nursing Students to Prevent Medication Error-Related Harms: A Step Toward Improving Patient Safety.

Aim: Existing gaps in nursing curriculum particularly related to medication management such as administration and monitoring increase the propensity of nurses to commit medication errors during clinical practice. The present training program was conducted with an aim to sensitize and educate undergraduate nursing students on medication errors' related aspects. Methods: The participants were students pursuing bachelors nursing degree course (second and third year). The training "Medication errors: Role of Nurse practitioners" comprised of blended teaching methods such as theme lectures, hands on training exercises, small group case­based learning, role plays, and nursing officer's practical experiences. The participants' knowledge and perception about medication errors were assessed at baseline (pre-intervention phase) and 1 week after program (post-intervention phase) with the help of a structured self-administered questionnaire in English language. Results: A total of 110 nursing students participated in the program. Post program there was a consistent increase in the number of correct responses to all knowledge-based questions with a significant improvement in knowledge scores from baseline [Baseline: (mean ± SD) 12.62 ± 2.33; Post-training: 18.52 ± 2.22; P < .001]. There was a positive change in the perception about medication errors among students. The participants rated the overall quality of program as excellent [66 (60%)] or very good [40 (36.4%)]. More than 90% agreed on its applicability in their future practice. Conclusions: The training was quite successful in educating nursing students on medication errors. There is a constant need to educate nurses and other healthcare providers including doctors and pharmacists on medication safety related aspects with an ultimate goal to improve patient safety.

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

OBJECTIVE: The objective of this study was to examine associations between patient age and medication errors among pediatric inpatients. STUDY DESIGN: Secondary analysis of data sets generated from 2 tertiary pediatric hospitals: (1) prescribing errors identified from chart reviews for patients on 9 general wards at hospital A during April 22 to July 10, 2016, June 20 to September 20, 2017, and June 20 to September 30, 2020; prescribing errors from 5 wards at hospital B in the same periods and (2) medication administration errors assessed by direct prospective observation of 5137 administrations on 9 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 = .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 = .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.

Effect of in-hospital training on medical errors made by teams during neonatal resuscitation.

BACKGROUND: Neonatal resuscitation is one of the most critical and risky events that requires a high level of individual skill and team performance. OBJECTIVE: To evaluate the effect of training of resuscitation teams on the frequency and type of medical errors (ME) that result from neonatal resuscitation. METHODS: A prospective observational study was performed using a checklist to detect ME related to neonatal resuscitation. RESULTS: The rate of ME was 24.82%. There was a significant reduction in the percentage of errors from 17.28% in pre- pre-training phase to 7.54% in post post-training phase. Near miss MEs (98.77%) were significantly higher than adverse events. The active errors were significantly higher than latent errors, P < 0.001, and decreased from 39.19% during pre-training to 19.64% in the post-training phase. The commission ME s were significantly higher than the omission, P < 0.001. The latent errors percentage was 41.17% of the total errors and were not significantly reduced after training. CONCLUSION: Training sessions reduced ME that occurred during resuscitation, however careful distinguishing and recognizing the type of MEs is important to plan for further reduction of errors. Special attention to latent errors is imperative as it needs a specific approach rather than just training.

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.

The prevention of medication errors in the home care setting: a scoping review.

Background: The changes in health, social and demographic needs impose new approaches to cures and care without giving up patients' safety. Although several studies analysed the patient safety approach and strategies, the literature considering the home care setting seems still scarce. The analysis of the phenomenon of medication errors in the primary care setting highlights the necessity of exploring the specific variables to understand how to prevent or reduce the occurrence of a medication error in the home context. This review investigates the main preventive strategies implemented at the patients' home to prevent and/or limit the possibility of a medication error. Design: The scoping review was conducted under the Preferred Reporting Items for Systematic Reviews and Meta-Analyses ex-tension for Scoping Reviews (PRISMA-ScR) statement and based on the guidelines of the Joanna Briggs Institute. Methods: No time or language limit was set to obtain the most comprehensive results possible. The following databases were queried: PubMed, Cochrane, CINAHL, ERIC and PsycINFO via EBSCO. All literature published up to 31 December 2022 was considered for data collection. Results: The main preventive strategies implemented in the patient's home to prevent a medication error are: Multidisciplinary teams, therapeutic reconciliation and computerised systems that improve information sharing. As evidenced by all of the included studies, no educational intervention or preventive strategy individually reduces the risk of making a medication error. Conclusions: It would be desirable for healthcare professionals to be constantly updated about their knowledge and understand the importance of introducing the aforementioned preventive strategies to guarantee safe care that protects the person from me-dication errors even at the patient's home.

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.

Medication Discrepancies among Older Hospitalized Adults Discharged from Post-Acute Care Facilities to Home.

OBJECTIVES: The epidemiology of medication discrepancies during transitions from post-acute care (PAC) to home is poorly described. We sought to describe the frequency and types of medication discrepancies among hospitalized older adults transitioning from PAC to home. DESIGN: A nested cohort analysis. SETTING AND PARTICIPANTS: Included participants enrolled in a patient-centered deprescribing trial, for patients (aged ≥50 years and taking at least 5 medications) transitioning from one of 22 PACs to home. METHODS: We assessed demographic and medication measures at the initial hospitalization. The primary outcome measure was medication discrepancies, with the PAC discharge list serving as reference for comparison to the participant's self-reported medication list at 7 days following PAC discharge. Discrepancies were categorized as additions, omissions, and dose discrepancies and were organized by common medication classes and risk of harm (eg, 2015 Beers Criteria). Ordinal logistic regression assessed for patient risk factors for PAC discharge discrepancy count. RESULTS: A total of 184 participants had 7-day PAC discharge medication data. Participants were predominately female (67%) and Caucasian (83%) with a median of 16 prehospital medications [interquartile range (IQR) 11, 20]. At the 7-day follow-up, 98% of participants had at least 1 medication discrepancy, with a median number of 7 medication discrepancies (IQR 4, 10) per person, 4 (IQR 2, 6) of which were potentially inappropriate medications as defined by the Beers Criteria. Higher medication discrepancies at index hospital admission and receipt of caregiver assistance with medications were 2 key predictors of medication discrepancies in the week after PAC discharge to home. CONCLUSIONS AND IMPLICATIONS: Older patients transitioning home from a PAC facility are at high risk for medication discrepancies. This study underscores the need for interventions targeted at this overlooked transition period, especially as patients resume responsibility for managing their own medications after both a hospital and PAC stay.

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.

Medication reconciliation in hospitalized hematological patient. / Conciliación de la medicación en el paciente hematológico ingresado.

OBJECTIVE: The main objective was to analyze unjustified discrepancies during the medication reconciliation process in patients admitted to the Hematology Service of our hospital and the pharmaceutical interventions. As a secondary objective, to detect possible points of the procedure to be perfected with a view to protocolizing the medication reconciliation process in hematological patients that adapts to the conditions of our center. METHODS: Cross-sectional observational pilot study carried out in a reference hospital in hematology for a population of 800,000 inhabitants. Adult inpatients admitted to the Hematology Service between August and October 2022 whose medication had been reconciled were included. The main variables were: number and type of unjustified discrepancy, proposed pharmaceutical intervention, and acceptance rate. RESULTS: 36 conciliation processes were analyzed, 34 admissions and 2 intrahospital transfer. 58.3% of the patients presented at least one unjustified discrepancy. 38 unjustified discrepancies were detected, with an acceptance of pharmaceutical interventions of 97.4%. The most common types of discrepancy were medication omission (56.8%) and drug interaction (24.3%). The most frequent pharmaceutical interventions were reintroducing medication (48.6%) and treatment discontinuation (16.2%). Polypharmacy and chemotherapy multiplied by 4 the probability of presenting drug interactions. CONCLUSIONS: The most common unjustified discrepancies in the medication reconciliation process in hospitalized hematology patients are: Medication omission and drug interactions. The reintroduction of medication and suspension of the prescription are the most frequent accepted pharmaceutical interventions. Polypharmacy is related to an increase in unjustified discrepancies. The factors that promote the appearance of interactions are admissions to receive chemotherapy treatment and polypharmacy. The main point of improvement detected is the need to create a circuit that allows conciliation to be carried out on discharge. Medication reconciliation contribute to improving patient safety by reducing medication errors.

Medication-related incidents in acute care hospitals among different age groups: An analysis of national patient safety report data.

PURPOSE: This study aimed to perform a nationwide analysis of medication errors (MEs) from hospitals using national reporting system data and to compare the ME patterns among different age groups. METHODS: We analyzed medication-related incidents in acute care hospitals reported to the Korean Patient Safety Reporting and Learning System (KOPS), which is a patient safety reporting system, from July 2016 to December 2020. The stages of the medication use process, type of errors, medication class involved in MEs, and degree of harm were analyzed. RESULTS: Among a total of 5071 medication-related incidents, 37.7% (1911 cases) were incidents that caused patient harm and 1.2% caused long-term, permanent, and fatal harm. The proportion of medication-related incidents that resulted in harm was the highest among the <1-year-old age group (67 cases, 51.5%), followed by the elderly (≥ 65 years) (828 cases, 40.9%). The cases leading to patient death were most frequently reported in patients aged ≥65 years. Medication-related incidents occurred mainly in the administration stage (2954 cases, 58.3%), and wrong dose was the most frequently reported ME type. The most prevalent medication class occurring in the 20-64-year age group (256 cases, 11.7%) was 'antibacterials for systemic use', whereas 'contrast media' (236 cases, 11.6%) and 'blood substitutes and perfusion solutions' (98 cases, 19.3%) were the most prevalent drug classes in the ≥65- and <20-year-old age groups, respectively. CONCLUSIONS: It is necessary to establish guidelines for the prevention of medication-related incidents according to the medication use process and patient age group.

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.

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.

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.

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.

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.