RESUMO
AIM: This study aims to explore the experiences and mediating factors of nurses' responses to electronic device alarms in critical care units (CCUs). BACKGROUND: Alarm fatigue occasionally has adverse consequences for patient safety. METHODS: This qualitative study was designed and analysed following Giorgi's descriptive phenomenological approach. Seventeen nurses were theoretically sampled, reaching information saturation. Semistructured interviews were used to collect the data. RESULTS: Three central themes explained nurses' experiences: general perceptions about alarms (basic equipment of the CCU), strategies to reduce false alarms (training in the configuration of monitors, customization of the alarms to fit he patient's condition. teamwork and taking advantage of the development of technology) and key elements of the response to alarms (information about patient's condition, nurses' clinical experience, type of CCU, 'cry-wolf' phenomenon and nurse/patient ratio). CONCLUSIONS: To reduce false alarms, nurses need further postgraduate training, training on monitors and customizing alarms to fit the patient's health status. The complex process of deciding to respond to an alarm includes environmental, professional variables and patient status. IMPLICATIONS FOR NURSING MANAGEMENT: Nurse managers should ensure that nurses have sufficient experience and training in the CCU, improve the nurse/patient ratio, promote teamwork and ensure that the devices are the latest generation.
Assuntos
Alarmes Clínicos , Enfermeiras e Enfermeiros , Eletrônica , Humanos , Masculino , Análise de Mediação , Monitorização FisiológicaRESUMO
Objetivo: Propor um Algoritmo de Gestão de alarmes de monitores multiparametricos em UTIs, usando Logica Fuzzy e o programa MATLAB, que objetiva a redução da Fadiga de Alarmes em UTI, pela seleção inteligente das prioridades no atendimento aos alarmes. A gestão inteligente dos alarmes visa evitar o problema da Fadiga de Alarmes, que leva a ignorar, silenciar ou retardar o atendimento aos pacientes em UTI. Método: quanti-qualitativa, com pesquisa observacional descritiva. Resultados: O estudo mostra que a modelagem pela Logica Fuzzy consegue emular o raciocínio humano dos profissionais de saúde da UTI na tomada de decisões de atendimento a pacientes alarmados. Conclusão: a Logica Fuzzy poderá ser eficiente na gestão de parâmetros fisiológicos alarmados em UTI, pelo uso de Algoritmos "Smart Alarms" ponderando sobre a prioridade de atendimento ao paciente
Purpose: To propose a management algorithm multiparameter monitors alarms in ICUs, using Fuzzy Logic and MATLAB program, which aims to reduce the Alarm Fatigue in ICU, the intelligent selection of priorities in meeting the alarms.. The intelligent alarm management aims to avoid the problem of Fatigue Alarm, which leads to ignore, mute or delay patient care in the ICU. Method: quantitative and qualitative, with descriptive observational research Results: The study shows that modeling by Fuzzy Logic can emulate the human reasoning of health professionals in the ICU decision-making services to patients alarmed. Conclusion: Fuzzy Logic can be efficient in managing alarmed physiological parameters in the ICU, by the use of algorithms "Smart Alarms" pondering the priority of patient care
Objetivo: Proponer un multiparamétrico algoritmo de gestión monitorea las alarmas en las UCI, utilizando el programa MATLAB, que tiene como objetivo reducir la fatiga de alarma en la UCI, pela selección inteligente de las prioridades en el cumplimiento de las alarmas y Lógica Fuzzy. La gestión de alarmas inteligentes pretende evitar el problema de la fatiga de alarma, lo que lleva a ignorar, silenciar o retrasar la atención al paciente en la UCI. Método: cuantitativa y cualitativa, con la investigación observacional descriptivo Resultados: El estudio muestra que el modelado por la Lógica Fuzzy puede emular el razonamiento humano de profesionales de la salud en los servicios de toma de decisión de la UCI de pacientes alarmados. Conclusión: Lógica Fuzzy puede ser eficiente en la gestión de los parámetros fisiológicos alarmados en la UCI, utilizando algoritmos de gestión inteligentes ponderando la prioridad de la atención al paciente
