Look-alike sound-alike (LASA) medication errors in Thai hospitals / Errores de medicación por sonido similar (LASA) en hospitales tailandeses

Look-alike sound-alike (LASA) drugs cause a high proportion of medication errors in hospitals. Drug lists available in hospitals are diverse and complicated. Presently, each hospital has its own LASA drug list and unique management strategies to minimize and prevent LASA errors. Objective: This study aimed to explore the prevalence of LASA drug lists, types of LASA drugs, and categories of medication errors in hospitals in Thailand. Methods: For this crosssectional study, questionnaires were developed and distributed along with a letter to 500 government hospitals (selected from a total of 1,309 hospitals) in Thailand via mail from April to June 2021. Data were analyzed using descriptive statistics (frequencies and percentages). Results: A total of 128 hospitals participated in this study (response rate: 25.60%), including 12 tertiary hospitals (9.38%), 33 secondary hospitals (25.78%), 24 large primary hospitals (18.75%), 51 small primary hospitals (39.84%), and eight private hospitals (6.25%). A total of 2,510 pairs of LASA drugs were identified, which included 1,674 (66.69%) tablets/capsules (Simvastatin 10-Simvastatin 20 pair had the highest frequency), 427 injections (17.01%) (Ceftriaxone-Ceftazidime pair had the highest frequency), 85 liquid dosage forms (3.39%) (Milk of magnesia-alum milk pair had the highest frequency), 74 special techniques in medicine (2.95%) (Seretide evohaler®-Seretide accuhaler® pair had the highest frequency), 49 external used drugs (1.95%) (Clotrimazole cream-Clobetasol cream pair had the highest frequency), and 28 powder dosage forms (1.12%) (ORS for pediatrics-ORS for adult pair had the highest frequency). Conclusion: Despite relevant awareness among healthcare professionals, LASA medication errors occur in hospitals. The most frequent similarities among LASA drugs were detected in their names/pronunciations, and the most common errors belonged to Category B.(AU)

Errores de medicación en niños que acuden a los servicios de urgencias pediátricas / Medication errors in children visiting pediatric emergency departments

Objetivos: la seguridad de los medicamentos en pediatría supone un verdadero reto. Se dispone de escasos estudios que hayan analizado los errores de medicación en los pacientes pediátricos que acuden a los servicios de urgencias. El objetivo de este estudio ha sido caracterizar los errores detectados en estos pacientes, determinando su gravedad, los procesos afectados, los medicamentos implicados y los tipos de errores y causas asociados. Métodos: estudio multicéntrico observacional prospectivo realizado en los servicios de urgencias de 8 hospitales públicos españoles durante 4 meses. Los errores de medicación detectados por los pediatras de urgencias en pacientes entre 0 y 16 años fueron evaluados por un farmacéutico y un pediatra. Los errores de medicación fueron analizados utilizando la Taxonomía Española de Errores de Medicación actualizada. Resultados: en 99.797 visitas a urgencias se detectaron 218 (0,2%) errores de medicación, de los cuales 74 (33,9%) causaron daños (eventos adversos por medicamentos). Los preescolares fueron el grupo poblacional con mayor número de errores de medicación (126/218). Los errores se originaron mayoritariamente en la prescripción (66,1%), por automedicación (16,5%) y por administración equivocada por parte de los familiares (15,6%). Los tipos de errores más frecuentes fueron: «dosis incorrectas» (51,4%) y «medicamento inapropiado» (46,8%). Los antiinfecciosos (63,5%) fueron los fármacos más comúnmente implicados en los errores con daño. Las causas subyacentes asociadas a una mayor proporción de errores de medicación fueron: «falta de conocimiento del medicamento» (63,8%), «falta de seguimiento de los procedimientos» (48,6%) y «falta de información del paciente» (30,3%). Conclusiones: los errores de medicación en la población pediátrica que acude a urgencias se producen en la prescripción, por automedicación y en la administración, provocando daños a los pacientes en un tercio de las ocasiones. ...(AU)

Objectives: Medication safety represents an important challenge in children. There are limited studies on medication errors in pediatric patients visiting emergency departments. To help bridge this gap, we characterized the medication errors detected in these patients, determining their severity, the stages of the medication process in which they occurred, the drugs involved, and the types and causes associated with the errors. Methods: We conducted a multicenter prospective observational study in the pediatric emergency departments of 8 Spanish public hospitals over a 4-month period. Medication errors detected by emergency pediatricians in patients between 0 and 16 years of age were evaluated by a clinical pharmacist and a pediatrician. Each medication error was analyzed according to the updated Spanish Taxonomy of Medication Errors. Results: In 99,797 visits to pediatric emergency departments, 218 (0.2%) medication errors were detected, of which 74 (33.9%) resulted in harm (adverse drug events). Preschoolers were the age group with the most medication errors (126/218). Errors originated mainly in the prescribing stage (66.1%), and also by self-medication (16.5%) and due to wrong administration of the medication by family members (15.6%). Dosing errors (51.4%) and wrong/improper drugs (46.8%) were the most frequent error types. Anti-infective drugs (63.5%) were the most common drugs implicated in medication errors with harm. Underlying causes associated with a higher proportion of medication errors were “medication knowledge deficit” (63.8%), “deviation from procedures/guidelines” (48.6%) and “lack of patient information” (30.3%). Conclusions: Medication errors presented by children attending emergency departments arise from prescriptions, self-medication, and administration, and lead to patient harm in one third of cases. Developing effective interventions based on the types of errors and the underlying causes identified will improve patient safety. (AU)

[Prescription errors and drug interactions in adults hospitalized in an intensive care unit in Barranquilla (Colombia).] / Errores de prescripción e interacciones farmacológicas en personas adultas hospitalizadas en una unidad de cuidados intensivos en Barranquilla (Colombia).

OBJECTIVE: Prescribing errors and drug-drug interactions constitute a relevant topic for health professionals in these hospital settings and for the strengthening of strategies to mitigate these errors. The aim of this article was to determine the prescribing errors and drug-drug interactions present in adult patients hospitalized in an intensive care unit in the city of Barranquilla (Colombia). METHODS: A quantitative study was conducted in which 158 medical records of adult patients who were hospitalized in an Intensive Care Unit (ICU) in the city of Barranquilla during 2019 were analyzed. Medication errors and drug-drug interactions were determined by means of the Medscape application. Statistical analysis was performed using the RStudio program, descriptive and inferential statistics were applied to the data. RESULTS: Sociodemographically, male sex prevailed, the most frequent pathological history was arterial hypertension, most patients were receiving between one±five drugs, the most common errors were related to omission of dosage, route and time of administration. Drug-drug interactions were reported in 64.5% (102) of the histories and, in terms of the level of severity of the interactions, moderate interactions predominated in 32.9% (52). CONCLUSIONS: It is evident that there is a high number of medication prescription errors in hospitalized adults, among which pharmacological interactions associated mainly with the number of medications received by individuals in the ICUs stand out.

OBJETIVO: Los errores de prescripción y las interacciones farmacológicas constituyen un tema relevante para los profesionales de salud que se encuentran en estos ámbitos hospitalarios y para el fortalecimiento de estrategias que permitan mitigar estos errores. El objetivo del artículo fue determinar los errores de prescripción e interacciones medicamentosas presentes en pacientes adultos hospitalizados en una unidad de cuidados intensivos en la ciudad de Barranquilla (Colombia). METODOS: Se realizó un estudio cuantitativo en el que se analizaron 158 historias clínicas de pacientes adultos que estuvieron hospitalizados en una Unidad de Cuidados Intensivos (UCI) de la ciudad de Barranquilla durante el año 2019. Se determinaron errores de medicación e interacciones medicamentosas por medio de la aplicación Medscape. El análisis estadístico se realizó mediante el programa RStudio, se aplicó estadística descriptiva e inferencial a los datos. RESULTADOS: Sociodemográficamente prevaleció el sexo masculino, el antecedente patológico con mayor frecuencia fue la hipertensión arterial, la mayoría de los pacientes estaban recibiendo entre uno±cinco medicamentos, los errores más comunes estaban relacionados con la omisión de la dosis, vía y horario de administración. Se reportaron interacciones medicamentosas en el 64,5% (102) de las historias y, en cuanto al nivel de gravedad de las interacciones, predominaron las moderadas en un 32,9% (52). CONCLUSIONES: Se evidencia que existe un alto número de errores de prescripción de medicamentos en los adultos hospitalizados, entre los que se destacan las interacciones farmacológicas asociadas principalmente con el número de medicamentos que reciben las personas en las UCI.

Análisis de un algoritmo de riesgo de errores de medicación: una experiencia portuguesa / Analysis of a medication error risk algorithm: a portuguese experience

Los errores de medicación son cada vez más comunes lo cual pone en peligro la salud de los pacientes, de ahí la importancia de prevenirlos y controlarlos. El concepto de crear una herramienta de decisión clínica que permita gestionar mejor estos eventos no es nuevo. Utilizando una experiencia danesa, decidimos aplicar el algoritmo de MERIS (Medication Risk Score) en un servicio de accidente cerebrovascular de un hospital portugués con el fin de probar su aplicabilidad, determinar volumen de pacientes de riesgo y comprobar cual variable del algoritmo se correlaciona más con paciente de riesgo. Con una muestra de 65 pacientes con sus respectivos reportes MERIS se determinó que durante dos meses más de la mitad de los pacientes admitidos eran de alto riesgo para errores en su medicación. Se seleccionó la prueba de correlación de Spearman para determinar cuál de todas las variables de MERIS estaba más relacionada a un puntaje alto. Encontramos correlaciones positivas fuertes y estadísticamente significativas entre el puntaje de Meris y: función renal reducida, número de fármacos con bajo riesgo de daño, número de fármacos con alto riesgo de daño, número de fármacos, número de fármacos con riesgo medio de daño y número de fármacos con riesgo de interacción bajo a medio, siendo estos últimos tres los más significativos. No hubo una correlación estadísticamente significativa entre el puntaje MERIS y el número de fármacos con alto riesgo de interacción. Finalmente, modificamos la lista de medicamentos propuesta por los autores anteriores adaptada a nuestro hospital. (AU)

Medication errors are gradually more common, risking patients health, hence the importance of preventing and controlling them. The concept of creating a clinical decision tool to better manage these events is not new. Using a Danish experience, we applied the MERIS (Medication Risk Score) algorithm in a stroke unit of a Portuguese hospital in order to test its applicability, determine the volume of patients at risk and check which variable of the algorithm correlates more with patient risk. Using a sample of 65 patients with their respective MERIS reports, we determined that for two months more than half of the admitted patients were at high risk of errors in their medication. The Spearman correlation test was selected to determine which MERIS variable was most related to a high score. We found strong and statistically significant positive correlations between the Meris score and: reduced kidney function, number of drugs with low risk of damage, number of drugs with high risk of damage, number of drugs, number of drugs with medium risk of damage and number of drugs with low to medium risk of interaction, the latter three being the most significant. There was no statistically significant correlation between the MERIS score and the number of drugs with a high risk of interaction. Finally, we modify the list of medications proposed by the previous authors adapted to our hospital. (AU)

Disminución de errores de medicación Look-Alike Sound-Alike, mediante la implementación de estrategias preventivas en una clínica de III nivel Barranquilla-Colombia / Decrease in Look-Alike Sound-Alike, medication errors through the implementation of preventive strategies in a third level clinic from Barranquilla-Colombia

Los medicamentos Look-Alike and Sound-Alike (LASA) son frecuentemente causantes de errores de medicación en el proceso de dispensación, con importantes repercusiones desde el punto de vista humano, asistencial y económico.Objetivo: Determinar la disminución de tasa de estos errores de medicación LASA, posterior a la implementación de estrategias de prevención en una clínica de tercer nivel en Barranquilla, Colombia.Método: La investigación fue de tipo experimental, prospectivo; el periodo de estudio fue de 3 meses (enero-marzo 2021); el criterio de inclusión para el estudio fueron los medicamentos del listado básico de medicamentos LASA y los errores de medicación ocasionados por estos. Se implementaron estrategias de prevención de errores tipo LASA, se cuantificó y comparó los errores de medicación presentados antes y después de la implementación de las estrategias. Resultados: En la etapa de pre-implementación de las estrategias se dispensaron 24.300 medicamentos, entre los cuales se presentaron 80 (0,33%) errores de medicación por medicamentos LASA. En la etapa de post-implementación se dispensaron 23.760 medicamentos, y se presentaron 48 (0,20%) errores de medicación por medicamentos LASA, evidenciando una reducción significativa (P-valor: 0,0366314; IC: 95%). Los medicamentos con mismo principio activo y diferente concentración fueron los de mayor incidencia de errores de medicación en el Servicio Farmacéutico, con 37 errores en la etapa de pre-implementación y 19 errores en la etapa de post-implementación.Conclusión: La reducción de la tasa de errores de medicación fue del 40% al implementar las estrategias propuestas, lo que demuestra su efectividad y su potencial para ofrecer una atención más segura y de mayor calidad a los pacientes, a bajo costo. (AU)

Look-Alike and Sound-Alike (LASA) drugs are frequently the cause of medication errors in the dispensing process, with important repercussions from the human, healthcare and economic point of view.Objective: To determine the decrease in the rate of these LASA medication errors, after the implementation of prevention strategies in a third-level clinic in Barranquilla, Colombia. Method: The research was experimental, prospective; the study period was 3 months (January-March 2021); the inclusion criteria for the study were drugs from the clinic’s basic list of drugs that were LASA and the medication errors caused by these. LASA error prevention strategies were implemented; the medication errors presented before and after the implementation of the strategies were quantified and compared.Results: In the pre-implementation stage of the strategies, 24,300 medications were dispensed, among which there were 80 (0.33%) medication errors due to LASA medications. In the post-implementation stage, 23,760 medications were dispensed, and 48 (0.20%) medication errors occurred due to LASA medications, showing a significant reduction (P-valor: 0.0366314; IC: 95%). Medicines with the same active ingredient and different concentrations were those with the highest incidence of medication errors in the Pharmaceutical Service, with 37 errors in the pre-implementation stage and 19 errors in the post-implementation stage.Conclusion: The reduction in the rate of medication errors was 40% after implementing the proposed strategies, which demonstrates their effectiveness and their potential to offer a safer and higher quality care to patients, at low cost. (AU)

Occurrence and types of medication error and its associated factors in a reference teaching hospital in northeastern Iran: a retrospective study of medical records.

BACKGROUND: Medication errors are categorized among the most common medical errors that may lead to irreparable damages to patients and impose huge costs on the health system. A correct understanding of the prevalence of medication errors and the factors affecting their occurrence is indispensable to prevent such errors. The purpose of this study was to investigate the prevalence and types of medication errors among nurses in a hospital in northeastern Iran. METHODS: The present descriptive-analytical research was conducted on 147 medical records of patients admitted to the Department of Internal Medicine at a hospital in northeastern Iran in 2019, selected by systematic sampling. The data were collected through a researcher-made checklist containing the demographic profiles of the nurses, the number of doctor's orders, the number of medication errors and the type of medication error, and were finally analyzed using STATA version 11 software at a significance level of 0.05. RESULTS: Based on the findings of this study, the mean prevalence of medication error per each medical case was 2.42. Giving non-prescription medicine (47.8%) was the highest and using the wrong form of the drug (3.9%) was the lowest medication error. In addition, there was no statistically significant relationship between medication error and the age, gender and marital status of nurses (p > 0.05), while the prevalence of medication error in corporate nurses was 1.76 times higher than that of nurses with permanent employment status (IRR = 1.76, p = 0.009). The prevalence of medication error in the morning shift (IRR = 0.65, p = 0.001) and evening shift (IRR = 0.69, p = 0.011) was significantly lower than that in the night shift. CONCLUSION: Estimating the prevalence and types of medication errors and identified risk factors allows for more targeted interventions. According to the findings of the study, training nurses, adopting an evidence-based care approach and creating interaction and coordination between nurses and pharmacists in the hospital can play an effective role in reducing the medication error of nurses. However, further research is needed to evaluate the effectiveness of interventions to reduce the prevalence of medication errors.

Retrospective identification of medication related adverse events in the emergency medical services through the analysis of a patient safety register.

Adverse drug events encompass a wide range of potential unintended and harmful events, from adverse drug reactions to medication errors, many of which in retrospect, are considered preventable. However, the primary challenge towards reducing their burden lies in consistently identifying and monitoring these occurrences, a challenge faced across the spectrum of healthcare, including the emergency medical services. The aim of this study was to identify and describe medication related adverse events (AEs) in the out-of-hospital setting. The medication components of a dedicated patient safety register were analysed and described for the period Jan 2017-Sept 2020. Univariate descriptive analysis was used to summarize and report on basic case and patient demographics, intervention related AEs, medication related AEs, and AE severity. Multivariable logistic regression was used to assess the odds of AE severity, by AE type. A total of 3475 patient records were assessed where 161 individual medication AEs were found in 150 (4.32%), 12 of which were categorised as harmful. Failure to provide a required medication was found to be the most common error (1.67%), followed by the administration of medications outside of prescribed practice guidelines (1.18%). There was evidence to suggest a 63% increase in crude odds of any AE severity [OR 1.63 (95% CI 1.03-2.6), p = 0.035] with the medication only AEs when compared to the intervention only AEs. Prehospital medication related adverse events remain a significant threat to patient safety in this setting and warrant greater widespread attention and future identification of strategies aimed at their reduction.

Hospitalizations and deaths related to adverse drug events worldwide: Systematic review of studies with national coverage.

PURPOSE: Adverse drug events are related to negative outcomes in healthcare, including hospitalization, increased duration of hospital stay and death. The aim of this study was to conduct a systematic review to evaluate hospitalizations and deaths related to adverse drug events worldwide, reported in studies with national coverage. METHODS: The protocol was registered in PROSPERO (CRD42020157008). We performed a systematic search on Medline, Embase, CINAHL, LILACS, and the Cochrane Library (until March 2020) using pre-specified terms. We included published studies that reported data on hospitalizations and/or deaths related to adverse drug events from a national perspective and the use of secondary data as a source of information. Two reviewers independently extracted and synthesized data. The quality of the studies was assessed using an adapted version of the Joanna Briggs Institute critical appraisal checklist for prevalence studies. Narrative summaries of findings were undertaken. RESULTS: Among 59,336 citations, 62 studies were included for data extraction and synthesis. Among these studies, 41 studies included the outcome of hospitalization, 16 included the death outcome, and five included both outcomes. Administrative databases regarding discharges and registries of vital statistics were the most common sources of information. The relative frequency of hospitalizations ranged from 0.03% to 7.3%, and from 9.7 to 383.0/100,000 population, whereas mortality rate ranged from 0.1 to 7.88/100,000 population. CONCLUSION: Our study highlights information about adverse drug events using large administrative databases in a national scenario and provides an overview of databases and methods implemented to detect adverse drug events.

A systematic review on pediatric medication errors by parents or caregivers at home.

INTRODUCTION: Medication errors (MEs) are frequent and, in some cases, can lead to hospitalization, disability, increased healthcare costs or, even, death. Most of pediatric medications are administered by parents or caregivers at home. It is necessary to explore the MEs at home to improve pediatric patient safety. AREAS COVERED: This study aimed to review the current literature on the frequency of pediatric MEs by parents or caregivers at home, their associated factors, and pediatric ME reporting systems. Citable original articles of any type of study design or reviews published from 2013 to 2021 were searched in Medline, Scopus, Embase, and ScienceDirect databases. EXPERT OPINION: The available data about the frequency of pediatric MEs at home varied from 30% to 80%. Current research suggests the risk of making a ME in pediatric patients at home may depend on the characteristics of the caregiver and may increase if a prescription contains ≥3 drugs. Findings conclude that providing dosing tools more closely matched to prescribed dose volumes, recommending the use of syringes as a measurement tool, and educational intervention for caregivers could be useful to reduce MEs. Concerning the reporting systems for pediatric MEs in the outpatient setting, no information was found.

Medication-related adverse events in health care-what have we learned? A narrative overview of the current knowledge.

PURPOSE: Although medication-related adverse events (MRAEs) in health care are vastly studied, high heterogeneity in study results complicates the interpretations of the current situation. The main objective of this study was to form an up-to-date overview of the current knowledge of the prevalence, risk factors, and surveillance of MRAEs in health care. METHODS: Electronic databases (PubMed, MEDLINE, Web of Science, and Scopus) were searched with applicable search terms to collect information on medication-related adverse events. In order to obtain an up-to-date view of MRAEs, only studies published after 2000 were accepted. RESULTS: The prevalence rates of different MRAEs vary greatly between individual studies and meta-analyses. Study setting, patient population, and detection methods play an important role in determining detection rates, which should be regarded while interpreting the results. Medication-related adverse events are more common in elderly patients and patients with lowered liver or kidney function, polypharmacy, and a large number of additional comorbidities. However, the risk of MRAEs is also significantly increased by the use of high-risk medicines but also in certain care situations. Preventing MRAEs is important as it will decrease patient mortality and morbidity but also reduce costs and functional challenges related to them. CONCLUSIONS: Medication-related adverse events are highly common and have both immediate and long-term effects to patients and healthcare systems worldwide. Conclusive solutions for prevention of all medication-related harm are impossible to create. In the future, however, the development of efficient real-time detection methods can provide significant improvements for event prevention and forecasting.

Incidência de erros de imunização em Minas Gerais: estudo transversal, 2015-2019 / La incidencia de los errores de inmunización en Minas Gerais, Brasil: estudio transversal, 2015-2019 / Incidence of immunization errors in the state of Minas Gerais, Brazil: a cross-sectional study, 2015-2019

Objetivo: Avaliar a incidência do erro de imunização no serviço público de saúde do estado de Minas Gerais, Brasil. Métodos: Estudo transversal, a partir dos erros notificados no Sistema de Informação do Programa Nacional de Imunização entre 2015 e 2019. Realizaram-se análise descritiva e cálculo da incidência para as macrorregiões de saúde do estado. Resultados: Foram analisadas 3.829 notificações. Crianças menores de 1 ano foram as mais acometidas (39,1%) e a via intramuscular foi responsável por 29,4% dos erros. O erro mais frequente foi a administração de vacina fora da idade recomendada (37,7%). Observou-se maior incidência de erros nas macrorregiões Vale do Aço (26,5/100 mil) e Triângulo do Norte (22,6/100 mil). Conclusão: Os erros de imunização apresentaram incidência heterogênea entre as macrorregiões de Minas Gerais, no período 2015-2019, e a administração de vacinas fora da idade recomendada foi o erro mais notificado.

Objetivo: Evaluar la incidencia de errores de inmunización en el servicio público de salud del estado de Minas Gerais, Brasil. Métodos: Estudio transversal basado en errores notificados en el Sistema de Información del Programa Nacional de Vacunación entre 2015 y 2019. Se realizó un análisis descriptivo y cálculo de la incidencia para las macrorregiones de salud del estado. Resultados: Se analizaron un total de 3.829 notificaciones. Los niños menores de 1 año fueron los más afectados (39,1%) y la vía intramuscular fue responsable del 29,4% de los errores. El error más frecuente fue la administración de la vacuna fuera de la edad recomendada (37,7%). Se observó una mayor incidencia en las macrorregiones Vale do Aço (26,5/100.000) y Triângulo do Norte (22,6/100.000). Conclusión: Los errores de inmunización mostraron una incidencia heterogénea entre las macrorregiones del estado de Minas Gerais de 2015 a 2019 y la administración de vacunas fuera de la edad recomendada fue el error más reportado.

Objective: To evaluate the incidence of immunization errors in the public health service of the state of Minas Gerais, Brazil. Methods: This was a cross-sectional study, based on errors reported on the National Immunization Program Information System between 2015 and 2019. A descriptive analysis and calculation of the incidence for the state's health macro-regions were performed. Results: A total of 3,829 notifications were analyzed. Children younger than 1 year old were the most affected (39.1%) and the intramuscular route accounted for 29.4% of the errors. The most frequently reported error was administration of vaccines outside minimum and maximum recommended ages (37.7%). There was a higher incidence of errors in Vale do Aço (26.5/100,000) and Triângulo do Norte (22.6/100,000) macro-regions. Conclusion: Immunization errors showed a heterogeneous incidence among the macro-regions of the state of Minas Gerais, between 2015-2019, and the administration of vaccines outside minimum and maximum recommended ages was the most frequently reported error.

Impact of pharmacist intervention in patients with Alzheimer's disease

Abstract To assess the therapy relative to indication, effectiveness, safety and adherence in patients with Alzheimer's disease (AD). An interventional, prospective, non-randomized study was conducted in a single secondary care center in Brazil. The pharmacist-led medication therapy management (MTM) was conducted to detect drug-related problems (DRPs) at baseline and after six months of intervention. The health status outcomes (i.e. cognitive screening tests; levels of glucose; total cholesterol; triglycerides; thyroid stimulating hormone; serum free thyroxine and blood pressure) were measured. 66 patients with AD were included, of whom 55 patients completed the follow-up of six months. 36 patients (36/55) were non-adherent to AD drug therapy. Out of detected 166 DRPs, 116 were solved. Four patients were withdrawn from the AD protocol due to resolution of prodromal symptoms. On the conclusion of the study, the MTM improved and controlled blood pressure, glucose, total cholesterol, triglycerides levels (p<0.05). The pharmacist-led MTM was effective in solving 69.8% of DRPs, improving and controlling the clinical parameters evaluated

Incidence of Medication Errors in King Fahad Hospital Madina Saudi Arabia

Abstract This study aimed to evaluate the incidence of medication errors over a period of one year in King Fahad Hospital Madina Saudi Arabia. This retrospective, cross-sectional study was conducted over a period of one year from 2018 January to 2018 December using patient's records. King Fahad Hospital in Madina was selected for the study center. Data collected include the number and types of errors, severity, location of errors, errors by profession, and errors occurred in the medical wards. Statistical analysis was carried out using statistical package for social science version22. A total of twenty- six hundred and fifty-eight medication errors were reported during the study period. Among the reports 2567(96.5%) of the errors were due to near misses, followed by transcribing errors 1597(60%), ordering errors 928(34.9%), duplicative therapy 765(28.7%), wrong dose 454(%). The most common procedures involve medication errors were wrong documentation 442(16.6%), duration 168(6.3%) wrong quantity 162(6.4%). Majority of the medication errors were contributed by physicians (99.2%) and 0.7% of them were due to the pharmacist. In conclusion study findings reported that yet some kind of medication errors has been under reported and it was common in most hospital, further studies with intervention programs needed to control the incidence of medication errors in a Saudi hospital

Prevalence, types and severity of medication errors associated with the use of automated medication use systems in ambulatory and institutionalized care settings: A systematic review protocol.

The use of automated systems within the medication use process has significantly reduce the occurrence of medication errors and the associated clinical and financial burden. However, automated systems lull into a false sense of security and increase the risk of medication errors that are often associated with socio-technical interactions, automation bias, workarounds and overrides. The objective of the systematic review is to determine the prevalence, types and severity of medication errors that are associated the use of automated systems in ambulatory and institutionalized care settings. The search strategy will be guided by PRISMA framework. Selected databases and relevant gray literature were searched and screening was done independently by two researchers between 01 April and 29 June 2021. These covered all relevant articles published from the inception of the use of automation in the medication use process (2000) until 2020. De-duplication and screening of all studies were done independently by two researchers with a clear inclusion / exclusion criteria. Data extraction and synthesis are currently on going (started on 06 July 2021) and being conducted independently but the validity and completeness of the processes will be confirmed by the third researcher. The Cochrane Risk of Bias tool and the Hoy et al's quality assessment checklist will be used for the assessment of methodological bias while the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system will be used for the quality of evidence assessment. Detailed qualitative synthesis of key findings will be done with thematic and descriptive analyses. If the number and types of included studies permit, fixed or random effect model meta-analysis will be conducted based on the degree of homogeneity in the sampling frame used in the included studies. Heterogeneity will be assessed with I2 statistics and I2 > 50% will be considered a high statistical heterogeneity. The systematic review may provide new perspective especially from developing settings about the prevalence, types and severity of medication errors associated with the use of automated systems at all the stages of medication use process, and in all categories of patients. This may add to global knowledge in the research area. Systematic review registration: The systematic review was registered and published by PROSPERO (CRD42020212900).

Effects of registered nurse staffing levels, work environment, and education levels on adverse events in nursing homes.

This study examined the effects of nurse staffing levels, work environment, and education levels on adverse events in nursing homes. A cross-sectional study was conducted involving 216 nurses working in 62 nursing homes in South Korea, using self-reported questionnaires and data from the National Health Insurance Service of South Korea. A logistic regression model was used to investigate the effects of nurse staffing levels, work environment, and nursing education levels on the adverse events experienced by residents. An increase of one resident per nurse was significantly associated with a higher incidence of medication error, pressure ulcers and urinary tract infections. A poor work environment increased the incidence of adverse events. Compared to nurses with a bachelor's degree or higher, those with diplomas reported increased incidence rates of pressure ulcers. Improving the health outcomes of residents in nursing homes requires efforts that strengthen the nursing workforce in terms of numbers and educational level, and which improve their work environment at institutional and policy levels.

Post-discharge after surgery Virtual Care with Remote Automated Monitoring-1 (PVC-RAM-1) technology versus standard care: randomised controlled trial.

OBJECTIVE: To determine if virtual care with remote automated monitoring (RAM) technology versus standard care increases days alive at home among adults discharged after non-elective surgery during the covid-19 pandemic. DESIGN: Multicentre randomised controlled trial. SETTING: 8 acute care hospitals in Canada. PARTICIPANTS: 905 adults (≥40 years) who resided in areas with mobile phone coverage and were to be discharged from hospital after non-elective surgery were randomised either to virtual care and RAM (n=451) or to standard care (n=454). 903 participants (99.8%) completed the 31 day follow-up. INTERVENTION: Participants in the experimental group received a tablet computer and RAM technology that measured blood pressure, heart rate, respiratory rate, oxygen saturation, temperature, and body weight. For 30 days the participants took daily biophysical measurements and photographs of their wound and interacted with nurses virtually. Participants in the standard care group received post-hospital discharge management according to the centre's usual care. Patients, healthcare providers, and data collectors were aware of patients' group allocations. Outcome adjudicators were blinded to group allocation. MAIN OUTCOME MEASURES: The primary outcome was days alive at home during 31 days of follow-up. The 12 secondary outcomes included acute hospital care, detection and correction of drug errors, and pain at 7, 15, and 30 days after randomisation. RESULTS: All 905 participants (mean age 63.1 years) were analysed in the groups to which they were randomised. Days alive at home during 31 days of follow-up were 29.7 in the virtual care group and 29.5 in the standard care group: relative risk 1.01 (95% confidence interval 0.99 to 1.02); absolute difference 0.2% (95% confidence interval -0.5% to 0.9%). 99 participants (22.0%) in the virtual care group and 124 (27.3%) in the standard care group required acute hospital care: relative risk 0.80 (0.64 to 1.01); absolute difference 5.3% (-0.3% to 10.9%). More participants in the virtual care group than standard care group had a drug error detected (134 (29.7%) v 25 (5.5%); absolute difference 24.2%, 19.5% to 28.9%) and a drug error corrected (absolute difference 24.4%, 19.9% to 28.9%). Fewer participants in the virtual care group than standard care group reported pain at 7, 15, and 30 days after randomisation: absolute differences 13.9% (7.4% to 20.4%), 11.9% (5.1% to 18.7%), and 9.6% (2.9% to 16.3%), respectively. Beneficial effects proved substantially larger in centres with a higher rate of care escalation. CONCLUSION: Virtual care with RAM shows promise in improving outcomes important to patients and to optimal health system function. TRIAL REGISTRATION: ClinicalTrials.gov NCT04344665.

Learning from patient safety incidents involving acutely sick adults in hospital assessment units in England and Wales: a mixed methods analysis for quality improvement.

OBJECTIVE: Six per cent of hospital patients experience a patient safety incident, of which 12% result in severe/fatal outcomes. Acutely sick patients are at heightened risk. Our aim was to identify the most frequently reported incidents in acute medical units and their characteristics. DESIGN: Retrospective mixed methods methodology: (1) an a priori coding process, applying a multi-axial coding framework to incident reports; and, (2) a thematic interpretative analysis of reports. SETTING: Patient safety incident reports (10 years, 2005-2015) collected from the National Reporting and Learning System, which receives reports from hospitals and other care settings across England and Wales. PARTICIPANTS: Reports describing severe harm/death in acute medical unit were identified. MAIN OUTCOME MEASURES: Incident type, contributory factors, outcomes and level of harm were identified in the included reports. During thematic analysis, themes and metathemes were synthesised to inform priorities for quality improvement. RESULTS: A total of 377 reports of severe harm or death were confirmed. The most common incident types were diagnostic errors (n = 79), medication-related errors (n = 61), and failures monitoring patients (n = 57). Incidents commonly stemmed from lack of active decision-making during patient admissions and communication failures between teams. Patients were at heightened risk of unsafe care during handovers and transfers of care. Metathemes included the necessity of patient self-advocacy and a lack of care coordination. CONCLUSION: This 10-year national analysis of incident reports provides recommendations to improve patient safety including: introduction of electronic prescribing and monitoring systems; forcing checklists to reduce diagnostic errors; and increased senior presence overnight and at weekends.

Effect of a Mobile App on Prehospital Medication Errors During Simulated Pediatric Resuscitation: A Randomized Clinical Trial.

Importance: Medication errors are a leading cause of injury and avoidable harm, affecting millions of people worldwide each year. Children are particularly susceptible to medication errors, but innovative interventions for the prevention of these errors in prehospital emergency care are lacking. Objective: To assess the efficacy of an evidence-based mobile app in reducing the occurrence of medication errors compared with conventional preparation methods during simulated pediatric out-of-hospital cardiac arrest scenarios. Design, Setting, and Participants: This nationwide, open-label, multicenter, randomized clinical trial was conducted at 14 emergency medical services centers in Switzerland from September 3, 2019, to January 21, 2020. The participants were 150 advanced paramedics with drug preparation autonomy. Each participant was exposed to a 20-minute, standardized, fully video-recorded, realistic pediatric out-of-hospital cardiac arrest cardiopulmonary resuscitation scenario concerning an 18-month-old child. Participants were tested on sequential preparations of 4 intravenous emergency drugs of varying degrees of preparation difficulty (epinephrine, midazolam, 10% dextrose, and sodium bicarbonate). Intervention: Participants were randomized (1:1 ratio) to the support of an app designed to assist with pediatric drug preparation (intervention; n = 74) or to follow conventional drug preparation methods without assistance (control; n = 76). Main Outcomes and Measures: The primary outcome was the rate of medication errors, defined as a failure in drug preparation according to predefined, expert consensus-based criteria. Logistic regression models with mixed effects were used to assess the effect of the app on binary outcomes. Secondary outcomes included times to drug preparation and delivery, assessed with linear regression models with mixed effects. Results: In total, 150 advanced paramedics (mean [SD] age, 35.6 [7.2] years; 101 men [67.3%]; mean [SD] time since paramedic certification, 8.0 [6.2] years) participated in the study and completed 600 drug preparations. Of 304 preparations delivered using the conventional method, 191 (62.8%; 95% CI, 57.1%-68.3%) were associated with medication errors compared with 17 of 296 preparations delivered using the app (5.7%; 95% CI, 3.4%-9.0%). When accounting for repeated measures, with the app, the proportion of medication errors decreased in absolute terms by 66.5% (95% CI, 32.6%-83.8%; P < .001), the mean time to drug preparation decreased by 40 seconds (95% CI, 23-57 seconds; P < .001), and the mean time to drug delivery decreased by 47 seconds (95% CI, 27-66 seconds; P < .001). The risk of medication errors varied across drugs with conventional methods (19.7%-100%) when compared with the app (4.1%-6.8%). Conclusions and Relevance: Compared with conventional methods, the use of a mobile app significantly decreased the rate of medication errors and time to drug delivery for emergency drug preparation in a prehospital setting. Dedicated mobile apps have the potential to improve medication safety and change practices in pediatric emergency medicine. Trial Registration: ClinicalTrials.gov Identifier: NCT03921346.

Pediatric Medication Errors and Reduction Strategies in the Perioperative Period.

Anesthesia providers are regularly responsible for assessing, diagnosing, and determining pharmacologic treatment of a problem. This critical workflow often includes medication preparation. Decision making in anesthesia frequently requires rapid intervention, and caring for the pediatric population poses additional challenges, such as needing to quickly calculate the weight-based dosing of medications. The objective of this review article was to identify and describe themes related to pediatric medication errors associated with anesthesia. Additional goals of the review consisted of identifying and comparing various error reduction strategies with a primary goal of communicating the most effective methods to reduce medication errors in the pediatric population. Screening criteria were set, and 17 published scholarly articles meeting inclusion criteria were evaluated using a systematic process. Common themes found leading to medication errors were incorrect dosing, incorrect medication, syringe swap, wrong patient, and wrong dosing interval. The most valuable and sustainable error reduction strategies found were standardized labeling, prefilled syringes, and 2-person medication checks. It is believed that this review will expound on the factors that can be controlled or minimized to decrease the incidence of anesthesia-related pediatric medication errors and facilitate implementation of risk mitigation strategies immediately into clinical practice.