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Medication errors during perioperative care significantly compromise patient safety and the quality of outcomes. It is crucial to identify and understand the factors that contribute to these errors to develop effective, targeted interventions. This study aims to explore the risk factors associated with medication errors during perioperative care in a tertiary hospital setting, focusing on patient demographics, medication types, administration routes, and nursing care characteristics. A retrospective cohort study was conducted, encompassing adult patients who underwent surgical procedures from January 2020 to January 2023. Data on medication administration, patient demographics, and surgical details were extracted from electronic health records. Medication errors were classified based on the harm caused to the patients. Logistic regression analyses were employed to identify significant risk factors. The study included 1723 patients, with a balanced gender distribution. The median patient age was 53 years. Medication errors were significantly associated with patient age, the type of medication administered, and specific administration routes. Higher education levels and advanced professional titles among nursing staff were inversely related to the occurrence of medication errors. The presence of a dedicated anesthesia nurse significantly reduced the likelihood of errors. Patient age, medication type, administration route, nursing education level, and the involvement of specialized anesthesia nurses emerged as significant factors influencing the risk of medication errors in perioperative care. These findings underscore the need for targeted educational and procedural interventions to mitigate such errors, enhancing patient safety in surgical settings.

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AIM: To identify the nurses' perceptions on the occurrence of Medication Administration Errors (MAEs) and barriers to reporting using the MAE Reporting Survey. BACKGROUND: MAEs is a serious public health threat that causes patient injury, death, and results to expensive health care. METHODS: Descriptive statistical analysis. RESULTS: The most frequent reasons for MAEs according to the nurses were physicians' medication orders are not legible (4.67 ± 1.21) and unit staffing levels are inadequate (4.63 ± 1.45). The most frequent reason for unreported MAEs were when med errors occur, nursing administration focuses on the individual rather than looking at the systems as a potential cause of the error (4.95 ± 4.33) and nurses could be blamed if something happens to the patient as a result of the medication error (4.29 ± 1.48). The highest prevalent non-IV related MAEs included wrong time of administration (M = 3.02 ± 2.37) and medication administered after the order to discontinue has been written (M = 2.60 ± 2.11), both with 0-20 % of reported non-IV MAEs. The highest prevalent IV related MAEs included wrong time of administration (M = 2.76 ± 2.29) and medication administered after the order to discontinue has been written (M = 2.45 ± 2.01). More than half (n = 95, % = 54.29) of the respondents stated that 0-20 % of all types of medication errors, including IV and non-IV medication errors are reported. CONCLUSIONS: The findings supported the notion that nurses perceive low percentages of MAEs reporting.

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OBJECTIVE: Drug incompatibility, a significant subset of medication errors, threaten patient safety during the medication administration phase. Despite the undeniably high prevalence of drug incompatibility, it is currently poorly understood because previous studies are focused predominantly on intensive care unit (ICU) settings. To enhance patient safety, it is crucial to expand our understanding of this issue from a comprehensive viewpoint. This study aims to investigate the prevalence and mechanism of drug incompatibility by analysing hospital-wide prescription and administration data. METHODS: This retrospective cross-sectional study, conducted at a tertiary academic hospital, included data extracted from the clinical data warehouse of the study institution on patients admitted between January 1, 2021, and May 31, 2021. Potential contacts in drug pairs (PCs) were identified using the study site clinical workflow. Drug incompatibility for each PC was determined by using a commercial drug incompatibility database, the Trissel's™ 2 Clinical Pharmaceutics Database (Trissel's 2 database). Drivers of drug incompatibility were identified, based on a descriptive analysis, after which, multivariate logistic regression was conducted to assess the risk factors for experiencing one or more drug incompatibilities during admission. RESULTS: Among 30,359 patients (representing 40,061 hospitalisations), 24,270 patients (32,912 hospitalisations) with 764,501 drug prescriptions (1,001,685 IV administrations) were analysed, after checking for eligibility. Based on the rule for determining PCs, 5,813,794 cases of PCs were identified. Among these, 25,108 (0.4 %) cases were incompatible PCs: 391 (1.6 %) PCs occurred during the prescription process and 24,717 (98.4 %) PCs during the administration process. By classifying these results, we identified the following drivers contributing to drug incompatibility: incorrect order factor; incorrect administration factor; and lack of related research. In multivariate analysis, the risk of encountering incompatible PCs was higher for patients who were male, older, with longer lengths of stay, with higher comorbidity, and admitted to medical ICUs. CONCLUSIONS: We comprehensively described the current state of drug incompatibility by analysing hospital-wide drug prescription and administration data. The results showed that drug incompatibility frequently occurs in clinical settings.

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BACKGROUND: The administration of intravenous (IV) medications is a technically complicated and error-prone process. Especially, in the hematopoietic stem cell transplantation (HSCT) setting where toxic drugs are frequently used and patients are in critical immunocompromised conditions, medication errors (ME) can have catastrophic reactions and devastating outcomes such as death. Studies on ME are challenging due to poor methodological approaches and complicated interpretations. Here, we tried to resolve this problem using reliable methods and by defining new denominators, as a crucial part of an epidemiological approach. METHODS: This was an observational, cross-sectional study. A total of 525 episodes of IV medication administration were reviewed by a pharmacist using the disguised direct observation method to evaluate the preparation and administration processes of 32 IV medications in three HSCT wards. We reported errors in 3 ratios; 1) Total Opportunities for Error (TOE; the number of errors/sum of all administered doses observed plus omitted medications), 2) Proportional Error Ratio (the number of errors for each drug or situation/total number of detected errors) and, 3) Corrected Total Opportunities for Errors (CTOE; the number of errors/ Sum of Potential Errors (SPE)). RESULTS: A total of 1,568 errors were observed out of 5,347 total potential errors. TOE was calculated as 2.98 or 298% and CTOE as 29.3%. Most of the errors occurred at the administration step. The most common potential errors were the use of an incorrect volume of the reconstitution solvent during medication preparation and lack of monitoring in the administration stage. CONCLUSION: Medication errors frequently occur during the preparation and administration of IV medications in the HSCT setting. Using precise detection methods, denominators, and checklists, we identified the most error-prone steps during this process, for which there is an urgent need to implement effective preventive measures. Our findings can help plan targeted preventive measures and investigate their effectiveness, specifically in HSCT settings.

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BACKGROUND: Drug administration errors (DAEs) in anaesthesia are common, the aetiology multifactorial and though mostly inconsequential, some lead to substantial harm. The extend of DAEs remain poorly quantified and effective implementation of prevention strategies sparse. METHOD: A cross-sectional descriptive study was conducted using a peer-reviewed survey questionnaire, circulated to 2217 anaesthetists via a national communication platform. The aim was to determine the self-reported frequency, nature, contributing factors and reporting patterns of DAEs among anaesthesia providers in South Africa. RESULTS: Our cohort had a response rate was 18.9%, with 420 individuals populating the questionnaire. 92.5% of surveyed participants have made a DAE and 89.2% a near-miss. Incorrect route of administration, potentially resulting in serious harm, accounted for 8.2% (n = 23/N = 279) of these errors. DAEs mostly reported in cases involving adult patients (80.5%, n = 243/N = 302), receiving a general anaesthetic (71.8%, n = 216/N = 301), where the drug-administrator prepared the drugs themselves (78.7%, n = 218/N = 277), during normal daytime hours (69.9%, n = 202/N = 289) with good lightning conditions (93.0%, n = 265/N = 285). 26% (n = 80/N = 305) of DAEs involved ampoule misidentification, whilst syringe identification error reported in 51.6% (n = 150/N = 291) of cases. DAEs are often not reported (40.3%, n = 114/N = 283), with knowledge of correct reporting procedures lacking. 70.5% (n = 198/N = 281) of DAEs were never discussed with the patient. CONCLUSIONS: DAEs in anaesthesia remain prevalent. Known error traps continue to drive these incidents. Implementation of system based preventative strategies are paramount to guard against human error. Efforts should be made to encourage scrupulous reporting and training of anaesthesia providers, with the aim of rendering them proficient and resilient to handle these events.

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As the population continues to age, the occurrence of chronic illnesses and comorbidities that often necessitate the use of polypharmacy has been on the rise. Polypharmacy, among other factors that tend to coincide with chronic diseases, such as obesity, impaired kidney and liver function, and older age, can increase the risk of medication errors (MEs). Our study aims to evaluate the prevalence of MEs in the Internal medicine, Cardiology, and Neurology departments at the secondary-level university hospital. We conducted a prospective observational study of 145 patients' electronic or paper-based data of inpatient prescriptions and patients' pharmacokinetic risk factors, such as an impairment of renal and/or hepatic function, weight, and age. All included patients collectively received 1252 prescribed drugs. The median (Q1; Q3) number of drugs per patient was 8 (7;10). At least one ME was identified in 133 out of the 145 patients, indicating a significantly higher prevalence than hypothesized (91.7% vs. 50%; p < .001). There was moderate, positive correlation between the quantity of prescribed drugs and the number of MEs, meaning that the more drugs are prescribed, the higher the number of identified MEs (Spearman's ρ = 0.428; p < .001). These findings suggest that there is a need for continuous medication education activity for prescribing physicians, continuous evaluation of prescription appropriateness to objectively identify the MEs and to contribute to more rational patient treatment.

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AIM: This study was conducted to determine the mediating role of pediatric nursing competence in the relationship between self-efficacy in pediatric drug administration and medical error tendency in nursing students. BACKGROUND: The self-efficacy of nursing students towards drug administration knowledge and practices is one of the determinants of achieving the goals of nursing education programs related to drug administration. DESIGN: The sample of the descriptive and correlational study consisted of a total of 303 3rd and 4th-year students taking the Pediatric Health and Diseases Nursing course at the Department of Nursing. Data were collected using the Pediatric Nursing Competency Scale (PNCS), the Medication Administration Self-Efficacy Scale in Children for Nursing Students (MASSC) and the Medical Errors Tendency Scale (METS). Pearson correlation analysis, linear regression analysis, independent groups t-test, one-way analysis of variance (ANOVA) and post hoc (Tukey, LSD) test were used to analyze the data. In addition, hierarchical regression analyses regarding the mediation effect were performed using PROCESS Model 4 developed by Hayes (2013) for SPSS. RESULTS: When the correlation levels between the total scores of MASSC, PNSC and METS were analyzed, a positive moderate correlation was found between PNSC and MASSC total scores, a positive weak correlation was found between METS and MASSC total scores and a positive weak correlation was found between METS and PNSC total scores (p<0.05). As a result of the analysis, the model was found to be significant and the total change in METS was explained by 17.3 % of the total change in METS (F=63.289;p=0.000). It was found that PNSC was a partial mediator variable between MASSC and METS. CONCLUSION: As a result of the study, it was determined that pediatric nursing competence had a partial mediating role in the relationship between pediatric drug administration self-efficacy and medical error tendency in nursing students.

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OBJECTIVES: to identify and analyze the factors that contribute to safety incident occurrence in the processes of prescribing, preparing and dispensing antineoplastic medications in pediatric oncology patients. METHODS: a quality improvement study focused on oncopediatric pharmaceutical care processes that identified and analyzed incidents between 2019-2020. A multidisciplinary group performed root cause analysis (RCA), identifying main contributing factors. RESULTS: in 2019, seven incidents were recorded, 57% of which were prescription-related. In 2020, through active search, 34 incidents were identified, 65% relating to prescription, 29% to preparation and 6% to dispensing. The main contributing factors were interruptions, lack of electronic alert, work overload, training and staff shortages. CONCLUSIONS: the results showed that adequate recording and application of RCA to identified incidents can provide improvements in the quality of pediatric oncology care, mapping contributing factors and enabling managers to develop an effective action plan to mitigate risks associated with the process.

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OBJECTIVE: To identify the frequency and types of prescription errors, assess adherence to WHO prescribing indicators, and highlight the gaps in current prescribing practices of Junior dental practitioners in a tertiary care hospital in Karachi, Pakistan. METHODS: This cross-sectional study was conducted from January 2021 to March 2021. The study included the prescriptions by house surgeons and junior postgraduate medical trainees for walk-in patients visiting the dental outpatient department. A total of 466 prescriptions were evaluated for WHO core drug prescribing indicators. The prescription error parameters were prepared by studying the WHO practical manual on guide to good prescribing and previous studies. Prescription errors, including errors of omission related to the physician and the patients, along with errors of omission related to the drug, were also noted. The statistical analysis was performed with SPSS version 25. Descriptive analysis was performed for qualitative variables in the study. RESULTS: The average number of drugs per encounter was found to be 3.378 drugs per prescription. The percentage of encounters with antibiotics was 96.99%. Strikingly, only 16.95% of the drugs were prescribed by generic names and 23.55% of drugs belonged to the essential drug list. The majority lacked valuable information related to the prescriber, patient, and drugs. Such as contact details 419 (89.9%), date 261 (56%), medical license number 466 (100%), diagnosis 409 (87.8%), age and address of patient 453 (97.2%), form and route of drug 14 (3%), missing drug strength 69 (14.8%), missing frequency 126 (27%) and duration of treatment 72 (15.4%). Moreover, the wrong drug dosage was prescribed by 89 (19%) prescribers followed by the wrong drug in 52 (11.1%), wrong strength in 43 (9.2%) and wrong form in 9 (1.9%). Out of 1575 medicines prescribed in 466 prescriptions, 426 (27.04%) drug interactions were found and 299 (64%) had illegible handwriting. CONCLUSION: The study revealed that the prescription writing practices among junior dental practitioners are below optimum standards. The average number of drugs per encounter was high, with a significant percentage of encounters involving antibiotics. However, a low percentage of drugs were prescribed by generic name and from the essential drug list. Numerous prescription errors, both omissions and commissions, were identified, highlighting the need for improved training and adherence to WHO guidelines on good prescribing practices. Implementing targeted educational programs and stricter regulatory measures could enhance the quality of prescriptions and overall patient safety.

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BACKGROUND: Medication errors are preventable incidents resulting from improper use of drugs that may cause harm to patients. They thus endanger patient safety and offer a challenge to the efficiency and efficacy of the healthcare system. Both healthcare professionals and patients may commit medication errors. METHODS AND OBJECTIVES: A cross-sectional, observational study was designed using a self-developed, self-administered online questionnaire. A sample was collected using convenience sampling followed by snowball sampling. Adult participants from the general population were recruited regardless of age, gender, area of residence, medical history, or educational background in order to explore their practice, experience, knowledge, and fear of medication error, and their understanding of this drug-related problem. RESULTS: Of the 764 participants who agreed to complete the questionnaire, 511 (66.9%) were females and 295 (38.6%) had a medical background. One-fifth of participants had experienced medication errors, with 37.7% of this segment reporting these medication errors. More than half of all medication errors (84, 57.5%) were minor and thus did not require any intervention. The average anxiety score for all attributes was 21.2 (The highest possible mean was 36, and the lowest possible was 0). The highest level of anxiety was seen regarding the risk of experiencing drug-drug interactions and the lowest levels were around drug costs and shortages. Being female, having no medical background, and having experience with medication errors were the main predictors of high anxiety scores. Most participants (between 67% and 92%) were able to recognise medication errors committed by doctors or pharmacists. However, only 21.2 to 27.5% of participants could recognise medication errors committed by patients. Having a medical background was the strongest predictor of knowledge in this study (P < 0.001). CONCLUSION: The study revealed that the prevalence of self-reported medication errors was significantly high in Jordan, some of which resulted in serious outcomes such as lasting impairment, though most were minor. Raising awareness about medication errors and implementing preventive measures is thus critical, and further collaboration between healthcare providers and policymakers is essential to educate patients and establish effective safety protocols.

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Despite efforts in improving medication safety, medication administration errors are still common, resulting in significant clinical and economic impact. Studies conducted using a valid and reliable tool to assess clinical impact are lacking, and to the best of our knowledge, studies evaluating the economic impact of medication administration errors among neonates are not yet available. Therefore, this study aimed to determine the potential clinical and economic impact of medication administration errors in neonatal intensive care units and identify the factors associated with these errors. A national level, multi centre, prospective direct observational study was conducted in the neonatal intensive care units of five Malaysian public hospitals. The nurses preparing and administering the medications were directly observed. After the data were collected, two clinical pharmacists conducted independent assessments to identify errors. An expert panel of healthcare professionals assessed each medication administration error for its potential clinical and economic outcome. A validated visual analogue scale was used to ascertain the potential clinical outcome. The mean severity index for each error was subsequently calculated. The potential economic impact of each error was determined by averaging each expert's input. Multinomial logistic regression and multiple linear regression were used to identify factors associated with the severity and cost of the errors, respectively. A total of 1,018 out of 1,288 (79.0%) errors were found to be potentially moderate in severity, while only 30 (2.3%) were found to be potentially severe. The potential economic impact was estimated at USD 27,452.10. Factors significantly associated with severe medication administration errors were the medications administered intravenously, the presence of high-alert medications, unavailability of a protocol, and younger neonates. Moreover, factors significantly associated with moderately severe errors were intravenous medication administration, younger neonates, and an increased number of medications administered. In the multiple linear regression analysis, the independent variables found to be significantly associated with cost were the intravenous route of administration and the use of high-alert medications. In conclusion, medication administration errors were judged to be mainly moderate in severity costing USD 14.04 (2.22-22.53) per error. This study revealed important insights and highlights the need to implement effective error reducing strategies to improve patient safety among neonates in the neonatal intensive care unit.

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BACKGROUND:  This project is part of a broader effort to develop a new electronic registry for ophthalmology in the KwaZulu-Natal (KZN) province in South Africa. The registry should include a clinical decision support system that reduces the potential for human error and should be applicable for our diversity of hospitals, whether electronic health record (EHR) or paper-based. METHODS:  Post-operative prescriptions of consecutive cataract surgery discharges were included for 2019 and 2020. Comparisons were facilitated by the four chosen state hospitals in KZN each having a different system for prescribing medications: Electronic, tick sheet, ink stamp and handwritten health records. Error types were compared to hospital systems to identify easily-correctable errors. Potential error remedies were sought by a four-step process. RESULTS:  There were 1307 individual errors in 1661 prescriptions, categorised into 20 error types. Increasing levels of technology did not decrease error rates but did decrease the variety of error types. High technology scripts had the most errors but when easily correctable errors were removed, EHRs had the lowest error rates and handwritten the highest. CONCLUSION:  Increasing technology, by itself, does not seem to reduce prescription error. Technology does, however, seem to decrease the variability of potential error types, which make many of the errors simpler to correct.Contribution: Regular audits are an effective tool to greatly reduce prescription errors, and the higher the technology level, the more effective these audit interventions become. This advantage can be transferred to paper-based notes by utilising a hybrid electronic registry to print the formal medical record.

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OBJECTIVE: To collect medication error (ME) data during the perianesthetic period from small animal clinics. SAMPLE: 6 small animal general practice veterinary clinics. METHODS: Small animal general practice veterinary clinics were recruited in this prospective observational study, with staff given a presentation on medical errors and instructed on how to submit medication error reports to an online reporting system. Errors were classified according to type and timing. RESULTS: A total of 2,728 general anesthesia or sedation procedures were performed, with 49 ME reports submitted. One duplicated report of the same error was excluded, resulting in a ME rate of 1.8%. Most reports (69% [33/48]) were near misses. The remaining 31% were MEs that reached the patient but did not cause harm. Wrong dose errors were the most common type (63% [30/48]), of which 80% (24/30) were calculation errors. Premedication/sedation and maintenance were the most reported stages, at 47% (20/43) and 23% (10/43), respectively. None of the MEs reported resulted in an adverse event, with an approximately 2:1 ratio of near-miss to no-harm MEs. The observed patterns of MEs reported, including type and timing, represent a target for further education. CLINICAL RELEVANCE: These results quantify the ME rate in general practice veterinary clinics, providing an initial benchmark for MEs during the perianesthetic period.

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INTRODUCTION: Glucagon-like peptide-1 receptor agonist use has increased over the last decade for glycemic control in type 2 diabetes mellitus, cardiovascular risk reduction, and weight loss. Clinical trials indicate that gastrointestinal adverse effects are commonly experienced and severe hypoglycemia is rare; however, there is little data regarding glucagon-like peptide-1 receptor agonist in overdose. METHODS: We performed a retrospective chart review evaluating and characterizing glucagon-like peptide-1 receptor agonist exposures reported to a single poison center between 2006 and 2023. Patient demographics, circumstances of exposure, clinical effects, and outcomes were abstracted from charts. Descriptive statistics were utilized to summarize demographic information and clinical factor data. RESULTS: A total of 152 charts met inclusion criteria. Therapeutic errors accounted for 91% of exposures. Most patients (67%) reported no symptoms, although not all patients were followed to a definitive outcome. Nausea, vomiting, generalized weakness, and abdominal pain were the predominant symptoms reported. Most patients (62%) were monitored and closely followed in the home setting. Hypoglycemia was rare but occurred in the setting of a single agent glucagon-like peptide-1 receptor agonist exposure in two patients. Two additional patients who developed hypoglycemia involved co-administration of insulin. 21% of the exposures were related to errors on initial use of the pen. CONCLUSION: Exposures to glucagon-like peptide-1 receptor agonist have increased substantially over the years. Effects from an exposure tended to be mild and primarily involve gastrointestinal symptoms. Hypoglycemia was rare. Therapeutic and administration errors were common. Education on pen administration may help to reduce errors.

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OBJECTIVES: Intravenous medication errors continue to significantly impact patient safety and outcomes. This study sought to clarify the complexity and risks of the intravenous administration process. DESIGN: A qualitative focus group interview study. SETTING: Focused interviews were conducted using process mapping with frontline nurses responsible for medication administration in September 2020. PARTICIPANTS: Front line experiened nurses from a Japanese tertiary teaching hospital. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measure was to identify the mental models frontline nurses used during intravenous medication administration, which influence their interactions with patients, and secondarily, to examine the medication process gaps between the mental models nurses perceive and the actual defined medication administration process. RESULTS: We found gaps between the perceived clinical administration process and the real process challenges with an emphasis on the importance of verifying to see if the drug was ordered for the patient immediately before its administration. CONCLUSIONS: This novel and applied improvement approach can help nurses and managers better understand the process vulnerability of the infusion process and develop a deeper understanding of the administration steps useful for reliably improving the safety of intravenous medications.

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BACKGROUND AND AIM: Medication errors (MEs) in hospitals decrease patient satisfaction, increase hospital mortality, lower hospital productivity, and increase in the costs of the health system. This study was conducted to determine the rate of MEs in Iranian hospitals. METHOD: In this meta-analysis, all published articles on ME rates in Iranian hospitals were identified from five databases and Google Scholar and assessed for quality. The heterogeneity of the studies was examined using the I2 index and a meta-regression model was used to evaluate the variables suspected of heterogeneity at the 0.05 significance level. Finally, 17 articles were eligible to be included in this study and were analyzed using the Comprehensive Meta-Analysis (CMA) software. FINDINGS: Based on the estimation of the random-effects model, the ME rate in Iranian hospitals was 10.9% (5.1%-21.7%; 95% CI). The highest rate was observed in Sanandaj in 2006 at 99.5% (92.6%-100.0%; 95% CI) and the lowest rate was observed in Kashan in 2019 at 0.2% (0.1%-0.3%; 95% CI). In addition, sample size and publication year were significantly correlated with ME rate (P < 0.05). CONCLUSION: According to the results of this study; ME rate in Iran is relatvively high based on the synthesis of the research conducted in Iranian hospitals. In addition to being costly, MEs have negative consequences for patients. Thereofore, it is necessary to emphasize the voluntary nature of medication error reporting in health sytem of Iran.

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PURPOSE: This study aimed to identify the relationships between medication errors and the factors affecting nurses' knowledge and behavior in Japan using Bayesian network modeling. It also aimed to identify important factors through scenario analysis with consideration of nursing students' and nurses' education regarding patient safety and medications. METHODS: We used mixed methods. First, error events related to medications and related factors were qualitatively extracted from 119 actual incident reports in 2022 from the database of the Japan Council for Quality Health Care. These events and factors were then quantitatively evaluated in a flow model using Bayesian network, and a scenario analysis was conducted to estimate the posterior probabilities of events when the prior probabilities of some factors were 0%. RESULTS: There were 10 types of events related to medication errors. A 5-layer flow model was created using Bayesian network analysis. The scenario analysis revealed that "failure to confirm the 5 rights," "unfamiliarity with operations of medications," "insufficient knowledge of medications," and "assumptions and forgetfulness" were factors that were significantly associated with the occurrence of medical errors. Conclusion: This study provided an estimate of the effects of mitigating nurses' behavioral factors that trigger medication errors. The flow model itself can also be used as an educational tool to reflect on behavior when incidents occur. It is expected that patient safety education will be recognized as a major element of nursing education worldwide and that an integrated curriculum will be developed.

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INTRODUCTION: Prescription is the node of medication management and use that most frequently presents medication errors, according to various studies. This study aims to analyze prescriptions before and after the incorporation of a multidisciplinary round in the pediatric intensive care area and its implication in the occurrence of adverse drug events. METHODS: This is an uncontrolled before and after study. RESULTS: 100 patients were studied before and 100 after, range 1-17 years, mean age: 6.4 SD: 8.7. 55.5% (n = 111) were men. A prescription error was detected before the intervention of 12% (n = 12) and after 0% of the intervention, 0%, p = 0.001. A total of 45 adverse events were detected, that is, 45 adverse events per 100 admissions and 38, that is, 38 events per 100 admissions, before and after the intervention respectively (p > 0.05). CONCLUSION: The intervention was useful to reduce prescription error in this sample of patients.

Introducción: La prescripción es el nodo del manejo y uso de medicamentos que con mayor frecuencia presenta errores de medicación, según diversos estudios. Este estudio tiene como objetivo analizar las prescripciones antes y después de la incorporación de una ronda multidisciplinar en el área de cuidados intensivos pediátricos y su implicación en la ocurrencia de eventos adversos por medicamentos. Métodos: Se trata de un estudio antes y después, no controlado. Resultados: Se estudiaron 100 pacientes antes y 100 después, rango 1-17 años, edad media: 6.4 DE: 8.7. El 55.5% (n = 111) eran varones. Se detectó un error de prescripción antes de la intervención del 12% (n = 12) y después de intervención, del 0%, p = 0.001. Se detectó un total de 45 eventos adversos por 100 ingresos y 38 eventos por 100 ingresos, antes y después de la intervención respectivamente (p > 0.05). Conclusión: La intervención fue útil para disminuir el error de prescripción en esta muestra de pacientes.

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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.

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BACKGROUND: Community pharmacies are responsible for dispensing of medicines and related counselling in outpatient care. Dispensing practices have remarkably changed over time, but little is known about how the changes have influenced medication safety. This national study investigated trends in dispensing errors (DEs) related to prescribed medicines, which were reported in Finnish community pharmacies within a 6-year period. METHODS: This national retrospective register study included all DEs reported to a nationally coordinated voluntary DE reporting system by Finnish community pharmacies during 2015-2020. DE rates, DE types, prescription types, individuals who detected DEs and contributing factors to DEs were quantified as frequencies and percentages. Poisson regression was used to assess the statistical significance of the changes in annual DE rates by type. RESULTS: During the study period, altogether 19 550 DEs were reported, and the annual number of error reports showed a decreasing trend (n = 3 913 in 2015 vs. n = 2 117 in 2020, RR 0.54, p < 0.001). The greatest decrease in reported DEs occurred in 2019 after the national implementation of the Medicines Verification System (MVS) and the additional safety feature integrated into the MVS process. The most common error type was wrong dispensed strength (50% of all DEs), followed by wrong quantity or pack size (13%). The annual number of almost all DE types decreased, of which wrong strength errors decreased the most (n = 2121 in 2015 vs. n = 926 in 2020). Throughout the study period, DEs were most commonly detected by patients (50% of all DEs) and pharmacy personnel (30%). The most reported contributing factors were factors related to employees (36% of all DEs), similar packaging (26%) and similar names (21%) of medicinal products. CONCLUSIONS: An overall decreasing trend was identified in the reported DEs and almost all DE types. These changes seem to be associated with digitalisation and new technologies implemented in the dispensing process in Finnish community pharmacies, particularly, the implementation of the MVS and the safety feature integrated into the MVS process. The role of patients and pharmacy personnel in detecting DEs has remained central regardless of changes in dispensing practices.

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