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Evaluate the effect of IV line labels on nurses' identification of high-alert medications in a simulated scenario of multiple infusions for critically ill patients.
Randomised crossover simulation experimental study.
A study was conducted on 29 nurses working in intensive care for over 6 months. They were given two critical scenarios in a simulated environment, one with labels and the other without labels, involving multiple intravenous infusions. The nurses had to identify the medications infused into the critical patients' intravenous lines and disconnect a specific line. The data were collected and analysed to evaluate the errors made by the nurses in identifying and disconnecting the medications and the time they spent carrying out the tasks. The Wilcoxon test was used to analyse the variation in outcome before and after the intervention.
Approximately one-third of the study participants incorrectly identified the intravenous lines in both scenarios. There was no significant difference in the average number of errors between the scenarios with and without labels. However, the time taken to perform the tasks in the scenario with labels was 1 min less than in the scenario without labels, suggesting a potential efficiency gain.
The labels on the intravenous lines allowed for quick drug identification and disconnection. The professionals performed similarly in correctly recognising the high-alert medication intravenous lines, in the scenarios with or without labels.
The label can be used as a technology to prevent misidentification of high-alert medications administered to critically ill patients through intravenous lines, thereby enhancing medication safety in healthcare institutions.
No Public Contribution.
Dyspnoea frequently leads to admissions in the Emergency Department (ED). Rapid and accurate diagnosis, specifically to distinguish acute heart failure from pneumonia and exacerbations of chronic obstructive pulmonary disease (COPD), is imperative to initiate appropriate therapy. This study aims to evaluate the feasibility and performance of the EMERgency ALgorithm efficiency for Dyspneic patient-UltraSound (EMERALD-US) algorithm using ultrasound (US) to diagnose the etiology of dyspnea in the ED-admitted patients.
225 patients of 50 years and above, presenting with acute non-traumatic dyspnoea, across six participating EDs will be enrolled. Patients will undergo a lung, a simplified four-chamber cardiac and a venous US. A physician, blinded to any clinical data or previous results, will execute the algorithm. The algorithm’s performance will be assessed using a receiver operating characteristic (ROC) curve. Secondary objectives include an evaluation of the protocol’s feasibility in the ED, an assessment of the concordance between the EMERALD-US algorithm diagnoses and results from other diagnostic tests (including laboratory work and imaging), as well as an evaluation of the algorithm’s performance in diagnosing other causes of dyspnoea, such as pulmonary embolism or pleural effusion, and the 30-day mortality rate.
The study protocol was approved by the French Committee for the Protection of Persons (CPP) (RCB n°2018-A02136-49). Misdiagnosis of dyspneic patients on ED admission has been associated with inappropriate treatment, prolonged hospital stays and increased mortality, particularly among elderly patients. The implementation of protocols like the EMERALD-US algorithm can help physicians in expedited decision-making and diagnosis without increasing ED visit durations.
Introducción: Actualmente, el uso de tecnologías innovadoras ha ayudado a los profesionales a gestionar mejor el volumen de información de manera inteligente, para facilitar y optimizar el uso de acciones y prácticas preventivas. Entendido como un recurso capaz de expandir o acceder a datos, nuestro objetivo es analizar el tema del suicidio en Rio Grande do Sul, en el período de 2010 a 2019, desde el portal municipal de Business Intelligence. Método: Una investigación es de naturaleza cuantitativa, de tipo descriptivo, basada en los registros de muertes por suicidio en el estado de Rio Grande do Sul, escuchada por el portal público de inteligencia empresarial (BI). Los datos fueron analizados, basados en el número bruto de muertes por suicidio en la macro-región del Sur, registrada en el Portal BI / DGTI. Se realizó una descripción del número de muertes según el año, el sexo, el grupo de edad y la tasa de suicidios. Resultados: un total de 11,774 muertes por suicidio, registradas en los últimos 10 años, o el número más alto que ocurrió en los años 2017 y 2019, entre los hombres, con tasas más altas en los grupos de edad entre 20 y 69 años. Una tasa más alta registrada fue en 2019, con 12.41 muertes por cada 100,000 habitantes. Concluimos con este estudio sobre el uso de Bussiness Intelligence, que permite acciones más efectivas en la prevención del suicidio.
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