Knowledge and Perception Regarding Medication Error Among Nurses.

BACKGROUND: Patient safety is the major concern in providing quality care. Medication errors have been identified as the most common type of preventable errors. This study aimed to assess the knowledge and perception regarding medication error among nurses. METHODS: A quantitative cross-sectional research design was used. The study was conducted in four different private hospitals in Lalitpur. A total enumerative sampling technique was used to select 302 nurses from these hospitals. Descriptive statistical methods were used to assess socio-demographic variables and inferential statistics methods such as the chi-squared test was used to analyse the association between knowledge, perception, and its socio-demographic characteristics. RESULTS: Most of the respondents 244 (80.8%) agreed the cause of medication error occurs due to unclear handwriting and 217 (71.9%) agreed prescribing the wrong route or dose and time. Mostly respondents 126 (41.7%) had inadequate knowledge, 101 (33.4%) had adequate knowledge and 75 (24.8%) had moderate knowledge on medication error. Mostly respondents 273 (90.4%) had positive perception and 26 (8.6 %) had negative perception. CONCLUSIONS: Most of the nurses had inadequate knowledge but has positive perception on medication error. Appropriate strategies for reducing nurses' workload, barriers to reporting, and sensitization workshops in a regular basis by the administrator should be developed to address medication errors and enhance patient safety in hospital settings.

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.

Calculating the cost of medication errors: A systematic review of approaches and cost variables.

INTRODUCTION: Medication errors are an unnecessary cost to a healthcare system and patients of a country. This review aimed to systematically identify published cost variables used to calculate the cost of medication errors and to explore any updates on findings already known on calculating the cost of medication errors during the past 10 years. METHODS: A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Electronic databases, PubMed, Scopus, Emerald and JSTOR were searched, using keywords "medication error" AND "cost" and predetermined inclusion criteria. Duplicate articles were removed. Quality check was done using 10 criteria. Cost variables used in calculating the cost of medication errors were extracted from each article. RESULTS: Among 3088 articles, 33 articles were selected for review. Most studies were conducted in Western countries. Cost variables used (types and number) by different studies varied widely. Most studies (N=29) had used direct costs only. A few studies (N=4) had used both direct and indirect costs for the purpose. Perspectives considered when calculating cost of medication errors also varied widely. A total of 35 variables used to calculate medication error costs were extracted from selected articles. CONCLUSION: Variables used to calculate the cost of medication errors were not uniform across studies. Almost a decade after systematic reviews previously reporting on this area, a validated methodology to calculate the cost of medication errors has still not been reported to date and highlights the still pending necessity of a standard method to be established.

How Should We Draw on Pharmacists' Expertise to Manage Drug Shortages in Hospitals?

This article argues that drug shortages should be addressed as crises that exacerbate already compromised US health care infrastructure. Clinicians, especially pharmacists, can help limit threats that shortages pose to patients. For example, pharmacists can canvass procurement options, consolidate inventory, and prepare medications to prevent need for some clinical interventions. This article describes how pharmacists' preparation and training equip them to help clinical teams navigate shortages by equitably rationing limited medicines, suggesting appropriate therapeutic alternatives, modifying drug administration routes, or delaying interventions. Pharmacists' roles can be key, since good management of supplies during drug shortages can mitigate risk of worse-than-usual clinical outcomes, mitigate risk of medication errors, and reduce some financial burdens on the overall health care system.

Intelligent supervision of PIVAS drug dispensing based on image recognition technology.

Pharmacy Intravenous Admixture Services (PIVAS) are places dedicated to the centralized dispensing of intravenous drugs, usually managed and operated by professional pharmacists and pharmacy technicians, and are an integral part of modern healthcare. However, the workflow of PIVAS has some problems, such as low efficiency and error-prone. This study aims to improve the efficiency of drug dispensing, reduce the rate of manual misjudgment, and minimize drug errors by conducting an in-depth study of the entire workflow of PIVAS and applying image recognition technology to the drug checking and dispensing process. Firstly, through experimental comparison, a target detection model suitable for drug category recognition is selected in the drug-checking process of PIVAS, and it is improved to improve the recognition accuracy and speed of intravenous drug categories. Secondly, a corner detection model for drug dosage recognition was studied in the drug dispensing stage to further increase drug dispensing accuracy. Then the PIVAS drug category recognition system and PIVAS drug dosage recognition system were designed and implemented.

Improving Accuracy of Medication Reconciliation for Hospitalized Children: A Quality Project.

BACKGROUND AND OBJECTIVES: Medication reconciliation is a complex, but necessary, process to prevent patient harm from medication discrepancies. Locally, the steps of medication reconciliation are completed consistently; however, medication errors still occur, which suggest process inaccuracies. We focused on removal of unnecessary medications as a proxy for accuracy. The primary aim was to increase the percentage of patients admitted to the pediatric hospital medicine service with at least 1 medication removed from the home medication list by 10% during the hospital stay by June of 2022. METHODS: Using the Model for Improvement, a multidisciplinary team was formed at a children's hospital, a survey was completed, and multiple Plan-Do-Study-Act cycles were done focusing on: 1. simplifying electronic health record processes by making it easier to remove medications; 2. continuous resident education about the electronic health record processes to improve efficiency and address knowledge gaps; and 3. auditing charts and real-time feedback. Data were monitored with statistical process control charts. RESULTS: The project exceeded the goal, improving from 35% to 48% of patients having at least 1 medication removed from their home medication list. Improvement has sustained for 12 months. CONCLUSIONS: The combination of interventions including simplifying workflow, improving education, and enhancing accountability resulted in more patients with medications removed from their home medication list.

A comprehensive study of prescribing, administering and drug handling medication errors in ten wards of a university hospital after implementation of electronic prescribing, clinical pharmacists or medication reconciliation.

Background and aim: Medication errors lead to preventable risks. Preventing strategies such as e-prescribing, clinical pharmacists and medication reconciliation have been implemented in recent years. However, information on long-term medication error rates in routine procedures is missing. Investigations: We aimed to identify predefined medication errors in ten wards of a university hospital where e-prescribing, clinical pharmacists and medication reconciliation have been partially implemented. Patient files were reviewed and routine processes were monitored for drug prescription errors (missing, unclear, outdated information), administration errors (wrong dispensed drugs) and drug handling errors (no light-, moisture-protection, wrong splitting, no separation of drugs, which ought to be taken by an empty stomach). Results: We analyzed 959 prescriptions with 933 solid peroral drugs for 182 patients (98 female, median age 66.5 years [Q25-Q75: 56-78 years]; the median number of drugs was 5 [Q25-Q75: 3-7]). The most frequent prescription error was a not specified drug form (91.1%). The most common administration error was a not adequately provided release dose formulation (72.7%). The lack of light protection for observed photosensitive drugs was the most frequent drug handling error (100%). We found a significantly higher amount of complete drug prescriptions with one of the implemented measurements e-prescribing, medication reconciliation and clinical pharmacists (Fisher's exact test two tailed, each p<0.001; CI 95%). Drug administration errors and drug handling errors were not significantly improved. Among the most frequently involved drug were drugs for acid-related disorders, immunosuppressant, and antineoplastic drugs. Conclusions: In the nearly 1,000 prescriptions and drugs analyzed, medication errors were still common. Various preventive strategies had been implemented in recent years, positively influencing the predefined errors rates.

An Analysis of Incident Reports Related to Electronic Medication Management: How They Change Over Time.

OBJECTIVE: Electronic medication management (EMM) systems have been shown to introduce new patient safety risks that were not possible, or unlikely to occur, with the use of paper charts. Our aim was to examine the factors that contribute to EMM-related incidents and how these incidents change over time with ongoing EMM use. METHODS: Incidents reported at 3 hospitals between January 1, 2010, and December 31, 2019, were extracted using a keyword search and then screened to identify EMM-related reports. Data contained in EMM-related incident reports were then classified as unsafe acts made by users and the latent conditions contributing to each incident. RESULTS: In our sample, 444 incident reports were determined to be EMM related. Commission errors were the most frequent unsafe act reported by users (n = 298), whereas workarounds were reported in only 13 reports. User latent conditions (n = 207) were described in the highest number of incident reports, followed by conditions related to the organization (n = 200) and EMM design (n = 184). Over time, user unfamiliarity with the system remained a key contributor to reported incidents. Although fewer articles to electronic transfer errors were reported over time, incident reports related to the transfer of information between different computerized systems increased as hospitals adopted more clinical information systems. CONCLUSIONS: Electronic medication management-related incidents continue to occur years after EMM implementation and are driven by design, user, and organizational conditions. Although factors contribute to reported incidents in varying degrees over time, some factors are persistent and highlight the importance of continuously improving the EMM system and its use.

Pharmaceutical Decision Support System Using Machine Learning to Analyze and Limit Drug-Related Problems in Hospitals.

The health product circuit corresponds to the chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ensure the safety and protect the well-being of hospitalized patients. In this paper we present an automatic system for analyzing prescriptions using Artificial Intelligence (AI) and Machine Learning (ML), with the aim of ensuring patient safety by limiting the risk of prescription errors or drug iatrogeny. Our study is made in collaboration with Lille University Hospital (LUH). We exploited the MIMIC-III (Medical Information Mart for Intensive Care) a large, single-center database containing information corresponding to patients admitted to critical care units at a large tertiary care hospital.

Optimising interruptive clinical decision support alerts for antithrombotic duplicate prescribing in hospital.

INTRODUCTION: Duplicate prescribing clinical decision support alerts can prevent important prescribing errors but are frequently the cause of much alert fatigue. Stat dose prescriptions are a known reason for overriding these alerts. This study aimed to evaluate the effect of excluding stat dose prescriptions from duplicate prescribing alerts for antithrombotic medicines on alert burden, prescriber adherence, and prescribing. MATERIALS AND METHODS: A before (January 1st, 2017 to August 31st, 2022) and after (October 5th, 2022 to September 30th, 2023) study was undertaken of antithrombotic duplicate prescribing alerts and prescribing following a change in alert settings. Alert and prescribing data for antithrombotic medicines were joined, processed, and analysed to compare alert rates, adherence, and prescribing. Alert burden was assessed as alerts per 100 prescriptions. Adherence was measured at the point of the alert as whether the prescriber accepted the alert and following the alert as whether a relevant prescription was ceased within an hour. Co-prescribing of antithrombotic stat dose prescriptions was assessed pre- and post-alert reconfiguration. RESULTS: Reconfiguration of the alerts reduced the alert rate by 29 % (p < 0.001). The proportion of alerts associated with cessation of antithrombotic duplication significantly increased (32.8 % to 44.5 %, p < 0.001). Adherence at the point of the alert increased 1.2 % (4.8 % to 6.0 %, p = 0.012) and 11.5 % (29.4 % to 40.9 %, p < 0.001) within one hour of the alert. When ceased after the alert over 80 % of duplicate prescriptions were ceased within 2 min of overriding. Antithrombotic stat dose co-prescribing was unchanged for 4 out of 5 antithrombotic duplication alert rules. CONCLUSION: By reconfiguring our antithrombotic duplicate prescribing alerts, we reduced alert burden and increased alert adherence. Many prescribers ceased duplicate prescribing within 2 min of alert override highlighting the importance of incorporating post-alert measures in accurately determining prescriber alert adherence.

Decreasing Prescribing Errors in Antimicrobial Stewardship Program-Restricted Medications.

OBJECTIVES: Antimicrobial stewardship programs (ASPs) restrict prescribing practices to regulate antimicrobial use, increasing the risk of prescribing errors. This quality improvement project aimed to decrease the proportion of prescribing errors in ASP-restricted medications by standardizing workflow. METHODS: The study took place on all inpatient units at a tertiary care children's hospital between January 2020 and February 2022. Patients <22 years old with an order for an ASP-restricted medication course were included. An interprofessional team used the Model for Improvement to design interventions targeted at reducing ASP-restricted medication prescribing errors. Plan-Do-Study-Act cycles included standardizing communication and medication review, implementing protocols, and developing electronic health record safety nets. The primary outcome was the proportion of ASP-restricted medication orders with a prescribing error. The secondary outcome was time between prescribing errors. Outcomes were plotted on control charts and analyzed for special cause variation. Outcomes were monitored for a 3-month sustainability period. RESULTS: Nine-hundred ASP-restricted medication orders were included in the baseline period (January 2020-December 2020) and 1035 orders were included in the intervention period (January 2021-February 2022). The proportion of prescribing errors decreased from 10.9% to 4.6%, and special cause variation was observed in Feb 2021. Mean time between prescribing errors increased from 2.9 days to 8.5 days. These outcomes were sustained. CONCLUSIONS: Quality improvement methods can be used to achieve a sustained reduction in the proportion of ASP-restricted medication orders with a prescribing error throughout an entire children's hospital.

Telemedicine vs Telephone Consultations and Medication Prescribing Errors Among Referring Physicians: A Cluster Randomized Crossover Trial.

Importance: Critically ill children presenting to emergency departments (EDs) in non-children's hospitals are at high risk for experiencing medical errors, including medication errors. Video telemedicine consultations with pediatric specialists have the potential to reduce the risk of medication errors beyond the current standard of care, telephone consultations. Objective: To compare the rates of ED physician-related medication errors among critically ill children randomized to receive either video telemedicine or telephone consultations. Design, Setting, and Participants: This cluster randomized, unbalanced crossover trial was conducted at 15 community EDs in northern California between September 2014 and March 2018. Analyses were conducted from May 2022 to January 2023. Participants included acutely ill children younger than 15 years presenting to a participating ED. Interventions: Participating EDs were randomized to use video telemedicine or telephone for consultations with pediatric critical care physicians according to 1 of 4 unbalanced (3 telemedicine to 1 telephone) crossover treatment assignment sequences. Main Outcomes and Measures: Pharmacists reviewed medical records to document physician-related medication errors using a previously validated instrument. Multilevel logistic regression analyses were performed to create models with the medication order as the unit of analysis and adjusting for age, the log-transformed Revised Pediatric Emergency Assessment Tool score, and hospital study period. Results: A total of 696 patient encounters were included in the trial (mean [SD] age, 4.2 [4.6] years; median [IQR] age, 2.1 [0.5-2.1] years; 304 female [43.7%]), with 537 patient encounters (77.2%) assigned to video telemedicine and 159 patient encounters (22.8%) assigned to telephone. At least 1 physician-related medication error occurred for 87 patients (12.5%), including 20 of 159 patients (12.6%) in the telephone cohort and 67 of 537 patients (12.5%) in the telemedicine cohort. Of the 2414 medication orders, errors occurred in 124 cases (5.1%), including 26 of 513 orders (5.1%) in the telephone cohort and 98 of 1901 orders (5.2%) in the telemedicine cohort. In the multivariable analysis, the adjusted odds ratio of experiencing a medication error among those assigned to telemedicine was 0.86 (95% CI, 0.49-1.52; P = .61). Conclusions and Relevance: This cluster randomized crossover trial found no statistically significant differences in physician-related medication errors between critically ill children assigned to receive telephone consultations vs video telemedicine consultations. Trial Registration: ClinicalTrials.gov Identifier: NCT02877810.

Proyecto Trazam: aplicación móvil para la trazabilidad de preparaciones elaboradas en un servicio de farmacia / Trazam project: A mobile application for the tracking of compounded preparations in a Pharmacy Department

Introducción el objetivo principal es describir el diseño e implementación de una aplicación para dispositivos móviles para facilitar el seguimiento de las preparaciones elaboradas en el servicio de farmacia hospitalaria. Los objetivos secundarios fueron evaluar el tiempo dedicado a la resolución de incidencias relacionadas con la dispensación/distribución de las preparaciones pre y postimplantación de la aplicación, conocer el grado de satisfacción de los usuarios y disponer de información cualitativa y cuantitativa del proceso que permita establecer indicadores de seguimiento. Métodos se definieron los requisitos a cumplir por el aplicativo informático, los fármacos susceptibles de entrar en el sistema y los circuitos de entrega. Se procedió al desarrollo de la aplicación por parte del proveedor e integración con los programas informáticos de prescripción/validación. Se crearon y añadieron los códigos QR de identificación en los puntos de entrega de medicamentos en las unidades de destino. Se adquirieron los dispositivos móviles necesarios. Primera etapa de formación de usuarios en la aplicación y prueba piloto en una planta de hospitalización. Posteriormente se inició la fase de expansión y consolidación. Resultados el 86,9% de las preparaciones estériles elaboradas en el servicio de farmacia hospitalaria se han incorporado al sistema, incluyendo quimioterapia, nutriciones parenterales de adultos y otras preparaciones estériles no peligrosas. Se han incluido en la aplicación las salas de hospitalización, los hospitales de día y 2 sedes externas. La media de preparaciones trazadas mensualmente es de 5.403 (DE = 297,3) (AU)

Introduction The primary objective of this study is to describe the design and implementation of a mobile application (App) for tracking preparations compounded in the Pharmacy Department. Secondary objectives include evaluating the time spent on resolving incidents related to the distribution of preparations before and after implementation, assessing users satisfaction with the application, and establishing a panel of quality indicators based on the data extracted from the App. Methods Defining application requirements, identifying drugs to be included in the software and outlining different workflows. Developing the App in collaboration with the supplier and integrating it with the computer programs involved in prescription and validation. Additionally, QR codes were created to identify delivery points at destination units, and suitable mobile devices were acquired. The initial phase involved user training in the application and a pilot test conducted in a hospital ward. The subsequent phase focused on expansion and consolidation. Results The system includes 86.9% of all sterile preparations prepared in the Hospital Pharmacy, encompassing chemotherapy, adult parenteral nutrition, and other non-hazardous sterile preparations. Furthermore, the application has been implemented in all hospitalization wards, day care units and two external sites. On average, 5,403 preparations were tracked per month (SD = 297.3). The time required to address incidents related to the distribution of preparations has decreased by 83% (from 38.9 to 6.6 minutes per day). The App regularly provides valuable management data for optimizing workflow in the compounding area. Additionally, users have expressed satisfaction with the application (AU)

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

BACKGROUND: In hospital medication errors are common. Our aim was to investigate risks of the analogue and digitally-supported medication process and any potential solutions. METHODS: A mixed methods study including a structured literature search and online questionnaires based on the Delphi method was conducted. First, all risks were structured into main and sub-risks and second, risks were grouped into risk clusters. Third, healthcare experts assessed risk clusters regarding their likelihood of occurrence their possible impact on patient safety. Experts were also asked to estimate the potential for digital solutions and solutions that strengthen the competence of healthcare professionals. RESULTS: Overall, 160 main risks and 542 sub-risks were identified. Main risks were grouped into 43 risk clusters. 33 healthcare experts (56% female, 50% with >20 years professional-experience) ranked the likelihood of occurrence and the impact on patient safety in the top 15 risk clusters regarding the process steps: admission (n = 4), prescribing (n = 3), verifying (n = 1), preparing/dispensing (n = 3), administering (n = 1), discharge (n = 1), healthcare professional competence (n = 1), and patient adherence (n = 1). 28 healthcare experts (64% female, 43% with >20 years professional-experience) mostly suggested awareness building and training, strengthened networking, and involvement of pharmacists at point-of-care as likely solutions to strengthen healthcare professional competence. For digital solutions they primarily suggested a digital medication list, digital warning systems, barcode-technology, and digital support in integrated care. CONCLUSIONS: The medication process holds a multitude of potential risks, in both the analogue and the digital medication process. Different solutions to strengthen healthcare professional competence and in the area of digitalization were identified that could help increase patient safety and minimize possible errors.

Effects of colour-coded compartmentalised syringe trays on anaesthetic drug error detection under cognitive load.

BACKGROUND: Anaesthetic drug administration is complex, and typical clinical environments can entail significant cognitive load. Colour-coded anaesthetic drug trays have shown promising results for error identification and reducing cognitive load. METHODS: We used experimental psychology methods to test the potential benefits of colour-coded compartmentalised trays compared with conventional trays in a simulated visual search task. Effects of cognitive load were also explored through an accompanying working memory-based task. We hypothesised that colour-coded compartmentalised trays would improve drug-detection error, reduce search time, and reduce cognitive load. This comprised a cognitive load memory task presented alongside a visual search task to detect drug errors. RESULTS: All 53 participants completed 36 trials, which were counterbalanced across the two tray types and 18 different vignettes. There were 16 error-present and 20 error-absent trials, with 18 trials presented for each preloaded tray type. Syringe errors were detected more often in the colour-coded trays than in the conventional trays (91% vs 83%, respectively; P=0.006). In signal detection analysis, colour-coded trays resulted in more sensitivity to the error signal (2.28 vs 1.50, respectively; P<0.001). Confidence in response accuracy correlated more strongly with task performance for the colour-coded tray condition, indicating improved metacognitive sensitivity to task performance (r=0.696 vs r=0.447). CONCLUSIONS: Colour coding and compartmentalisation enhanced visual search efficacy of drug trays. This is further evidence that introducing standardised colour-coded trays into operating theatres and procedural suites would add an additional layer of safety for anaesthetic procedures.

Psychology in the operating theatre: the importance of colour and cognition in the redesign of clinical systems for medication safety.

Medication errors in anaesthesia remain a leading cause of patient harm. Compared with conventional methods, use of the international colour-code standard on syringes and medication trays allows significantly more errors to be detected, and does so under conditions of cognitive load. Testing methods from experimental psychology provide important new insights for human factors research in anaesthesia and health care.

Evaluating Independent Double Checks in the Pediatric Intensive Care Unit: A Human Factors Engineering Approach.

OBJECTIVES: The goal of this human factors engineering-led improvement initiative was to examine whether the independent double check (IDC) during administration of high alert medications afforded improved patient safety when compared with a single check process. METHODS: The initiative was completed at a 24-bed pediatric intensive care unit and included all patients who were on the unit and received a medication historically requiring an IDC. The total review examined 37,968 high-risk medications administrations to 4417 pediatric intensive care unit patients over a 40-month period. The following 5 measures were reviewed: (1) rates of reported medication administration events involving IDC medications; (2) hospital length of stay; (3) patient mortality; (4) nurses' favorability toward single checking; and (5) nursing time spent on administration of IDC medications. RESULTS: The rate of reported medication administration events involving IDC medications was not significantly different across the groups (95% confidence interval, 0.02%-0.08%; P = 0.4939). The intervention also did not significantly alter mortality ( P = 0.8784) or length of stay ( P = 0.4763) even after controlling for the patient demographic variables. Nursing favorability for single checking increased from 59% of nurses in favor during the double check phase, to 94% by the end of the single check phase. Each double check took an average of 9.7 minutes, and a single check took an average of 1.94 minutes. CONCLUSIONS: Our results suggest that performing independent double checks on high-risk medications administered in a pediatric ICU setting afforded no impact on reported medication events compared with single checking.