267 resultados para triage


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A saúde em Portugal encontra-se no caminho da mudança, rumo à excelência, pois questiona-se o sistema, a sua estrutura, os seus processos e os resultados. Uma das condições que mais influencia a competitividade entre instituições da saúde é a qualidade. Sendo a sociedade cada vez mais exigente, medi-la e avalia-la é um imperativo da época actual. O presente estudo teve como objectivo, contribuir para a realização de um diagnóstico de um processo de melhoria implementado num hospital privado de Lisboa - Hospital CUF Descobertas (HCD), no Serviço de Atendimento Permanente (SAP), à luz dos princípios da qualidade total. O procedimento da Triagem de Manchester é um processo que tem como principal objectivo o estabelecimento de prioridades, ou seja, identificar critérios de gravidade, de forma objectiva e sistematizada, que indicam a prioridade clínica com que o cliente deve ser atendido e o respectivo tempo de espera alvo recomendado até observação médica. Não se trata de estabelecer diagnósticos. Para o efeito, utilizou-se uma abordagem metodológica, suportada pelo modelo de auto-avaliação, designado Modelo Common Assessment Framework (CAF). Neste sentido, privilegiando-se a utilização dos critérios de meios deste modelo. Foi aplicado um questionário aos colaboradores do Serviço de Atendimento Permanente do Hospital CUF Descobertas. O Tratamento de dados estatísticos foi realizado com o apoio do SPSS, versão 16.0 e do Microsoft Excel. Os resultados deste estudo culminam com a identificação de pontos fortes, pontos fracos e sugestões de melhorias para o serviço em estudo. Neste sentido, este trabalho serviu de diagnóstico para se poder identificar em que ponto se situa e que rumo se deve seguir para se atingir um patamar de excelência relativamente à qualidade. Abstract: Health in Portugal finds itself on the path toward change, trying to find excellence while challenging the system and its structure, processes, and results. One of the conditions that most influences the competitiveness between the institutes of health is quality because society is becoming more demanding. Measuring and evaluating this change is happening in this current time. The present study has the objective of contributing and establishing a diagnostic tool relative to the process of improvement. This tool was used in a private hospital in Lisbon, Hospital CUF Descobertas, in the Emergency Room, in looking at the principles of total quality. This process designed through the Manchester Triage System has the main objective of the establishment of priorities through which we want to identify criteria of seriousness in an objective and systematic way that indicate a clinical priority with which the client is attended to in respect to the waiting time, giving a recommended time until medical observation. ln this sense, we do not diagnose patients in triage. For this effect, we used a methodological overview supported by the model of self-evaluation, the Common Assessment Framework (CAF}, in which we used the criteria: Leadership, Planning and Strategy, People, Resources and Processes. To arrive at this, a questionnaire was used by the collaborators of the emergency room of Hospital CUF Descobertas. The statistical analysis of the data was performed using SPSS version 16.0 and Microsoft Excel. The results of this study culminated with the identification of strong points, weak points, and suggestions for improvements for the work in study. ln this way, with this study, we can identify in where an organization finds itself and the path it should take in order to achieve a high level of quality excellence.

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Antecedentes: Es preciso mencionar que en México en el 2005 estadísticas muestran que las principales causas de morbilidad en su servicio de emergencias las constituyen: Infecciones respiratorias agudas (19,4%), los traumatismos y envenenamientos (18,8%) y las enfermedades diarreicas (8%). (14). En Perú la principal causa de morbilidad se debió a traumatismos (12% del total), seguido en segundo lugar de asma (10%) y en tercer lugar por anormalidades y complicaciones del embarazo, parto o puerperio (8% del total). (5) Objetivo: Determinar las 10 primeras causas de morbilidad en emergencia del Hospital Homero Castanier Crespo en el período de octubre a diciembre 2014. Materiales y métodos: Se realizó un estudio observacional indirecto, mediante el registro de emergencia del total de pacientes que han acudido a emergencia en el Hospital Homero Castanier Crespo en período comprendido entre octubre – noviembre del 2014. El instrumento utilizado fue el formulario de recolección de datos (ver anexo 2). Resultados: la principal causa de morbilidad en la emergencia del Hospital Homero Castenier Crespo constituyen las enfermedades infecciosas: Enfermedades infecciosas intestinales, Amigdalitis aguda con un 10.86%. Gran parte de las morbilidades atendidas en la emergencia 20.85%, no son emergencias reales. En grupos edad pediátrica y adultos mayores, la principal causa fueron las Enfermedades infecciosas intestinales 14.52%, 6.96% respectivamente, que en este grupo si constituyen un verdadera emergencia. En ginecobstetricia: Falso trabajo de parto a las 37 y más semanas completas de gestación Conclusión: el estudio muestra las principales causas de morbilidad en el Hospital Homero Cartanier Crespo, revela una saturación del sistema por la cantidad de no emergencias que se atienden. Probablemente por la falta de un triage adecuado

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AIMS: To examine the relationship between physiological status at the emergency department-ward interface and emergency calls (medical emergency team or cardiac arrest team activation) during the first 72 hours of hospital admission. BACKGROUND: Ward adverse events are related to abnormal physiology in emergency department however the relationship between physiology at the emergency department-ward interface and ward adverse events is unknown. DESIGN: Descriptive and exploratory design. METHODS: The study involved 1980 patients at three hospitals in Melbourne Australia: i) 660 randomly selected adults admitted via the emergency department to medical or surgical wards during 2012 and who had an emergency call; and ii) 1320 adults without emergency calls matched for gender, triage category, usual residence, admitting unit and age. RESULTS/FINDINGS: The median age was 78 years and 48·8% were males. The median time to the first emergency call was 18·8 hours and ≥1 abnormal parameters were documented in 34·9% of patients during the last hour of ED care and 47·1% of patients during first hour of ward care. Emergency calls were significantly more common in patients with heart rate and conscious state abnormalities during the last hour of emergency care and abnormal oxygen saturation, heart rate or respiratory rate during the first hour of ward care. Medical emergency team afferent limb failure occurred in 55·3% patients with medical emergency team activation criteria during first hour of ward care. CONCLUSION: The use of physiological status at the emergency department-ward interface to guide care planning and reasons for and outcomes of medical emergency team afferent limb failure are important areas for future research.

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BACKGROUND: Women generally wait longer than men prior to seeking treatment for acute myocardial infarction (AMI). They are more likely to present with atypical symptoms, and are less likely to be admitted to coronary or intensive care units (CCU or ICU) compared to similarly-aged males. Women are more likely to die during hospital admission. Sex differences in the associations of delayed arrival, admitting ward, and mortality have not been thoroughly investigated.

METHODS: Focusing on presenting symptoms and time of presentation since symptom onset, we evaluated sex differences in in-hospital mortality following a first AMI in 4859 men and women presenting to three emergency departments (ED) from December 2008 to February 2014. Sex-specific risk of mortality associated with admission to either CCU/ICU or medical wards was calculated after adjusting for age, socioeconomic status, triage-assigned urgency of presentation, blood pressure, heart rate, presenting symptoms, timing of presentation since symptom onset, and treatment in the ED. Sex-specific age-adjusted attributable risks were calculated.

RESULTS: Compared to males, females waited longer before seeking treatment, presented more often with atypical symptoms, and were less likely to be admitted to CCU or ICU. Age-adjusted mortality in CCU/ICU or medical wards was higher among females (3.1 and 4.9 % respectively in CCU/ICU and medical wards in females compared to 2.6 and 3.2 % in males). However, after adjusting for variation in presenting symptoms, delayed arrival and other risk factors, risk of death was similar between males and females if they were admitted to CCU or ICU. This was in contrast to those admitted to medical wards. Females admitted to medical wards were 89 % more likely to die than their male counterparts. Arriving in the ED within 60 min of onset of symptoms was not associated with in-hospital mortality. Among males, 2.2 % of in-hospital mortality was attributed to being admitted to medical wards rather than CCU or ICU, while for females this age-adjusted attributable risk was 4.1 %.

CONCLUSIONS: Our study stresses the need to reappraise decision making in patient selection for admission to specialised care units, whilst raising awareness of possible sex-related bias in management of patients diagnosed with an AMI.

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BACKGROUND: Waiting lists for treatment are common in outpatient and community services, Existing methods for managing access and triage to these services can lead to inequities in service delivery, inefficiencies and divert resources from frontline care. Evidence from two controlled studies indicates that an alternative to the traditional "waitlist and triage" model known as STAT (Specific Timely Appointments for Triage) may be successful in reducing waiting times without adversely affecting other aspects of patient care. This trial aims to test whether the model is cost effective in reducing waiting time across multiple services, and to measure the impact on service provision, health-related quality of life and patient satisfaction.

METHODS/DESIGN: A stepped wedge cluster randomised controlled trial has been designed to evaluate the impact of the STAT model in 8 community health and outpatient services. The primary outcome will be waiting time from referral to first appointment. Secondary outcomes will be nature and quantity of service received (collected from all patients attending the service during the study period and health-related quality of life (AQOL-8D), patient satisfaction, health care utilisation and cost data (collected from a subgroup of patients at initial assessment and after 12 weeks). Data will be analysed with a multiple multi-level random-effects regression model that allows for cluster effects. An economic evaluation will be undertaken alongside the clinical trial.

DISCUSSION: This paper outlines the study protocol for a fully powered prospective stepped wedge cluster randomised controlled trial (SWCRCT) to establish whether the STAT model of access and triage can reduce waiting times applied across multiple settings, without increasing health service costs or adversely impacting on other aspects of patient care. If successful, it will provide evidence for the effectiveness of a practical model of access that can substantially reduce waiting time for outpatient and community services with subsequent benefits for both efficiency of health systems and patient care.

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In order to reduce serious health incidents, individuals with high risks need to be identified as early as possible so that effective intervention and preventive care can be provided. This requires regular and efficient assessments of risk within communities that are the first point of contacts for individuals. Clinical Decision Support Systems CDSSs have been developed to help with the task of risk assessment, however such systems and their underpinning classification models are tailored towards those with clinical expertise. Communities where regular risk assessments are required lack such expertise. This paper presents the continuation of GRiST research team efforts to disseminate clinical expertise to communities. Based on our earlier published findings, this paper introduces the framework and skeleton for a data collection and risk classification model that evaluates data redundancy in real-time, detects the risk-informative data and guides the risk assessors towards collecting those data. By doing so, it enables non-experts within the communities to conduct reliable Mental Health risk triage.

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Objectives The aim in this study was to investigate the impact of overcrowding on the Australasian Triage Score’s (ATS) time to treatment target and the National Emergency Access Target (NEAT) for patients who self-present to the Emergency Department (ED) with abdominal pain. Background The causes and effects of ED overcrowding have been well described in the literature. It is a widespread phenomenon throughout the world and it can cause serious harm to patients and have a negative impact on access to emergency care. There is however, little research investigating the effect of overcrowding when patients self-present to the ED and experience a delay in being allocated a cubicle. Methods A retrospective analysis of 12-months of computerised records was carried out in order to determine if self-presenting patients with abdominal pain allocated a category 3 triage score who were required to ‘queue’ for a cubicle would meet ATS target and NEAT requirements. A multiple regression analysis was used to determine whether or not queuing for an ED cubicle, age and gender were predictors of meeting the ATS guidelines and NEAT requirements. Results Three hundred and five patients met the inclusion criteria and were included in the study. Of these 149 patients waited more than 15 min to be allocated a cubicle while 156 did not experience any delay. A multiple regression analysis revealed that gender and age were not predictive of meeting the ATS target and NEAT requirements, while delay in allocation to a cubicle was a significant predictor of not being assessed within 30 min and discharged within 4 h. Furthermore, 61.2% of patients allocated to the waiting room queue for any amount of time were admitted to the ward. Conclusion Queuing in the waiting room for an ED bed was a significant predictor of whether or not category three patients with abdominal pain had treatment commenced within 30 min of presentation and was associated with a longer total ED length of stay.

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Le sepsis, un syndrome d’infection générale grave, est une importante cause de décès dans le monde et a un impact considérable sur le taux de mortalité dans le département des soins intensifs des hôpitaux. Plusieurs médecins soutiennent que le diagnostic de sepsis est fréquemment omis, menant ainsi à de graves conséquences pour l’état de santé du patient. Considérant cette problématique, la présente étude a pour buts de déterminer les caractéristiques du processus décisionnel des médecins en situation de triage et de prise en charge du sepsis pédiatrique, d’évaluer la performance des médecins en contexte de détection du sepsis pédiatrique et enfin, de valider une méthode permettant de développer un modèle cognitif de prise de décision relié à cette condition médicale. Une tâche décisionnelle à l’aide d’un tableau d’information est administrée aux participants. Les résultats sont analysés selon une combinaison de méthodes : la théorie de détection de signal, l’identification de la règle décisionnelle et l’extraction du processus décisionnel. Le personnel médical a une capacité de discrimination moyenne. Leurs réponses tendent vers un biais libéral. La comparaison entre un arbre décisionnel normatif et les arbres décisionnels individuels a démontré une mésestimation de l’importance des critères diagnostics pertinents. Il y a présence d’hétérogénéité quant aux critères utilisés par les médecins pour poser le diagnostic. Ces résultats permettent de cibler davantage la problématique de détection du sepsis pédiatrique et démontre la pertinence de développer un outil d’aide à la détection afin de soutenir les médecins dans leurs décisions. Les résultats de la présente étude fournissent des lignes directrices quant au développement d’un tel outil. Les résultats montrent également que la combinaison de la théorie de détection de signal, de l’identification de la règle décisionnelle et de l’extraction du processus décisionnel fournie une méthode adaptée afin de développer des modèles de prise de décision.

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Con el fin de evaluar los cambios que produce un programa de actividad física en la percepción que tienen los músicos sobre su capacidad de ejecución de un instrumento musical, se realizó una intervención con un programa de actividad física basado en la técnica Pilates, durante 12 semanas, en el Conservatorio de Música de la Universidad Nacional de Colombia, con estudiantes del programa de música instrumental. Se midieron parámetros de la aptitud física (capacidad cardiorrespiratoria, fuerza, flexibilidad y composición corporal) y de la percepción de la capacidad de ejecución (fatiga muscular, nivel de esfuerzo, dolor y fluidez) antes y después de la intervención. Los resultados arrojaron cambios positivos en la aptitud física logrando un aumento significativo en la flexibilidad y resistencia de los miembros inferiores en 14 participantes (70% de la muestra), y en la percepción de la capacidad de ejecución instrumental con el retraso en la aparición de la fatiga muscular mientras se está ejecutando el instrumento (30 minutos en promedio). Esto permite a los músicos abordar un repertorio extenso con menor fatiga, minimizando el riesgo de lesión o alteraciones musculo-esqueléticas que influyan directamente en su desempeño técnico y artístico.

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Introducción Los sistemas de puntuación para predicción se han desarrollado para medir la severidad de la enfermedad y el pronóstico de los pacientes en la unidad de cuidados intensivos. Estas medidas son útiles para la toma de decisiones clínicas, la estandarización de la investigación, y la comparación de la calidad de la atención al paciente crítico. Materiales y métodos Estudio de tipo observacional analítico de cohorte en el que reviso las historias clínicas de 283 pacientes oncológicos admitidos a la unidad de cuidados intensivos (UCI) durante enero de 2014 a enero de 2016 y a quienes se les estimo la probabilidad de mortalidad con los puntajes pronósticos APACHE IV y MPM II, se realizó regresión logística con las variables predictoras con las que se derivaron cada uno de los modelos es sus estudios originales y se determinó la calibración, la discriminación y se calcularon los criterios de información Akaike AIC y Bayesiano BIC. Resultados En la evaluación de desempeño de los puntajes pronósticos APACHE IV mostro mayor capacidad de predicción (AUC = 0,95) en comparación con MPM II (AUC = 0,78), los dos modelos mostraron calibración adecuada con estadístico de Hosmer y Lemeshow para APACHE IV (p = 0,39) y para MPM II (p = 0,99). El ∆ BIC es de 2,9 que muestra evidencia positiva en contra de APACHE IV. Se reporta el estadístico AIC siendo menor para APACHE IV lo que indica que es el modelo con mejor ajuste a los datos. Conclusiones APACHE IV tiene un buen desempeño en la predicción de mortalidad de pacientes críticamente enfermos, incluyendo pacientes oncológicos. Por lo tanto se trata de una herramienta útil para el clínico en su labor diaria, al permitirle distinguir los pacientes con alta probabilidad de mortalidad.