Factors associated with decision time to seek care in the face of ischemic stroke.

OBJECTIVE: To verify the association between sociodemographic, clinical, environmental, cognitive, and emotional factors and the decision time of people with ischemic stroke to seek a health service after the onset of symptoms or wake up stroke. METHOD: Cross-sectional study carried out from March to October 2019, with 304 patients, in a public hospital, a reference in neurology. Data obtained through interview and from medical records. Decision time was analyzed as a geometric mean. In the bivariate and multivariate analyses, linear regression was used and the Akaike Information Criterion was used to select the best model. Statistical significance of 5% was adopted. RESULTS: The geometric mean of decision time was 0.30h (95% CI 0.23-0.39). The final model explained this time in 41%, showing an increase of 0.5 min for people with arterial hypertension; 10.8 min for those who waited for symptoms to improve; 1.4 min for those who were alone at the onset of symptoms; 3.9 min for those at home; 3.2 min for the ones at work; and 2.1 for those on the street/public space. CONCLUSION: The mean decision time for seeking a health service was high and influenced by clinical, environmental, cognitive, and emotional variables. The results guide nurses regarding health education.

Factors associated with decision time to seek care in the face of ischemic stroke / Factores asociados con el tiempo de decisión para buscar atención médica por accidente cerebrovascular isquémico / Fatores associados ao tempo de decisão para procurar atendimento em face ao acidente vascular cerebral isquêmico

ABSTRACT Objective: To verify the association between sociodemographic, clinical, environmental, cognitive, and emotional factors and the decision time of people with ischemic stroke to seek a health service after the onset of symptoms or wake up stroke. Method: Cross-sectional study carried out from March to October 2019, with 304 patients, in a public hospital, a reference in neurology. Data obtained through interview and from medical records. Decision time was analyzed as a geometric mean. In the bivariate and multivariate analyses, linear regression was used and the Akaike Information Criterion was used to select the best model. Statistical significance of 5% was adopted. Results: The geometric mean of decision time was 0.30h (95% CI 0.23-0.39). The final model explained this time in 41%, showing an increase of 0.5 min for people with arterial hypertension; 10.8 min for those who waited for symptoms to improve; 1.4 min for those who were alone at the onset of symptoms; 3.9 min for those at home; 3.2 min for the ones at work; and 2.1 for those on the street/public space. Conclusion: The mean decision time for seeking a health service was high and influenced by clinical, environmental, cognitive, and emotional variables. The results guide nurses regarding health education.

RESUMEN Objetivo: Verificar la asociación entre factores sociodemográficos, clínicos, ambientales, cognitivos, y emocionales y el tiempo de decisión de las personas con accidente cerebrovascular isquémico para buscar un servicio de salud luego del inicio de los síntomas o Wake up stroke Método: Estudio transversal realizado de marzo a octubre de 2019, con 304 pacientes, en un hospital público, referencia en neurología. Datos obtenidos por entrevista y de la historia clínica. El tiempo de decisión se analizó como una media geométrica. En los análisis bivariados y multivariados se utilizó la regresión lineal y el Criterio de Información de Akaike para seleccionar el mejor modelo. Se adoptó una significancia estadística del 5% Resultados: La media geométrica del tiempo de decisión fue de 0,30h (IC 95% 0,23-0,39). El modelo final explicó este tiempo en un 41%, mostrando un aumento de 0,5 min para las personas con hipertensión arterial, 10,8 min para las que esperaron a que los síntomas mejoraran, 1,4 min para las que estaban solas al inicio de los síntomas, 3, 9 min para las que estaban en casa, 3,2 min para los que estaban en el trabajo y 2,1 en la calle/vía pública Conclusión: El tiempo promedio de decisión para buscar un servicio de salud fue alto e influenciado por variables clínicas, ambientales, cognitivas y emocionales. Los resultados orientan a los enfermeros hacia la educación en salud.

RESUMO Objetivo: Verificar a associação entre fatores sociodemográficos, clínicos, ambientais, cognitivos e emocionais e o tempo de decisão de pessoas com acidente vascular cerebral isquêmico para procurar um serviço de saúde após o início dos sintomas ou Wake up stroke Método: Estudo transversal realizado de março a outubro de 2019, com 304 pacientes, em hospital público, referência em neurologia. Dados obtidos por entrevista e no prontuário. O tempo de decisão foi analisado em média geométrica. Nas análises bivariadas e multivariada foi usada a regressão linear e o Critério de Informação de Akaike foi usado na seleção do melhor modelo. Adotou- se significância estatística de 5% Resultados: A média geométrica do tempo de decisão foi de 0,30h (IC 95% 0,23-0,39). O modelo final explicou em 41% esse tempo, mostrando aumento de 0,5 min para pessoas com hipertensão arterial; 10,8 min para quem esperou os sintomas melhorarem; 1,4 min para quem estava sozinho no início dos sintomas; 3,9 min para quem estava em casa; 3,2 min no trabalho e 2,1 na rua/via pública Conclusão: A média do tempo de decisão para procura de serviço de saúde foi alta e influenciada por variáveis clínicas, ambientais, cognitivas e emocionais. Os resultados orientam enfermeiros para a educação em saúde.

Mobile Application as a Learning Aid for Nurses and Nursing Students to Identify and Care for Stroke Patients: Pretest and Posttest Results.

Cerebrovascular accident is a serious public health problem and requires the attention of professionals who can detect, diagnose, and provide care in a timely fashion. A quantitative quasi-experimental study was conducted using a mobile app called mSmartAVC for clinical evaluation of nursing care at the bedside. The study aimed at measuring the knowledge of nurses and nursing students in the detection and care of cerebrovascular accident. In this study, a total of 115 nurses from health services in the South of Brazil and 35 nursing students of a community university participated. The stages focused on development, modeling of clinical cases, problem-based learning, pretest (before) app use, and posttest (after) use of the app. The results of the pretest and posttest corrections showed a substantial statistical difference (P < .001), indicating a significant knowledge gain after the use of the app, particularly in terms of the detection scales and interpretation of the imaging tests. The mSmartAVC app used at the bedside supported decision-making for detection and nursing care. It was possible to confirm that the use of mobile apps plays an essential role as a learning tool for nurses and nursing students.

[Warning systems in a computerized nursing process for Intensive Care Units]. / Sistemas de alerta em um processo de enfermagem informatizado para Unidades de Terapia Intensiva.

A hybrid study combining technological production and methodological research aiming to establish associations between the data and information that are part of a Computerized Nursing Process according to the ICNP® Version 1.0, indicators of patient safety and quality of care. Based on the guidelines of the Agency for Healthcare Research and Quality and the American Association of Critical Care Nurses for the expansion of warning systems, five warning systems were developed: potential for iatrogenic pneumothorax, potential for care-related infections, potential for suture dehiscence in patients after abdominal or pelvic surgery, potential for loss of vascular access, and potential for endotracheal extubation. The warning systems are a continuous computerized resource of essential situations that promote patient safety and enable the construction of a way to stimulate clinical reasoning and support clinical decision making of nurses in intensive care.

Warning systems in a computerized nursing process for Intensive Care Units / Sistemas de alerta em um processo de enfermagem informatizado para Unidades de Terapia Intensiva / Sistemas de alerta en el proceso de enfermeria informatizado en Unidades de Terapia Intensiva

A hybrid study combining technological production and methodological research aiming to establish associations between the data and information that are part of a Computerized Nursing Process according to the ICNP® Version 1.0, indicators of patient safety and quality of care. Based on the guidelines of the Agency for Healthcare Research and Quality and the American Association of Critical Care Nurses for the expansion of warning systems, five warning systems were developed: potential for iatrogenic pneumothorax, potential for care-related infections, potential for suture dehiscence in patients after abdominal or pelvic surgery, potential for loss of vascular access, and potential for endotracheal extubation. The warning systems are a continuous computerized resource of essential situations that promote patient safety and enable the construction of a way to stimulate clinical reasoning and support clinical decision making of nurses in intensive care.

Estudio híbrido de producción de tecnología y de investigación metodológica. El objetivo fue establecer las asociaciones entre: los datos y la información que integra el Proceso de Enfermería Informatizado a partir de la CIPE® versión 1.0, los indicadores de Seguridad del Paciente y los Indicadores de la Calidad de la Atención, a partir de la orientación de la Agency for Healthcare Research and Quality y de la American Association of Critical-Care Nurses para la expansión de los sistemas de alerta. Se desarrollaron cinco sistemas de alerta para los siguientes problemas potenciales: neumotórax iatrogénico, infecciones secundarias a la atención de salud, dehiscencia de herida quirúrgica abdominal o pélvica en pacientes en el postoperatorio, pérdida del acceso vascular y extubación endotraqueal. Los sistemas de alerta son un recurso informatizado continuo de situaciones esenciales que promueven la seguridad del paciente y que permiten además de construir un modo de estimular el raciocinio clínico, apoyar la toma de decisiones clínicas de enfermería en terapia intensiva.

Estudo híbrido que combinou produção tecnológica e pesquisa metodológica com o objetivo de estabelecer associações entre os dados e as informações que integram um Processo de Enfermagem Informatizado baseado na CIPE® versão 1.0, indicadores de segurança do paciente e indicadores de qualidade do cuidado. Fundamentados nas orientações da Agency for Healthcare Research and Quality e da American Association of Critical Care Nurses para a ampliação dos sistemas de alerta, foram desenvolvidos cinco sistemas de alerta: potencial para pneumotórax iatrogênico, potencial para infecções secundárias ao cuidado prestado, potencial para deiscência de sutura no pós-operatório de pacientes de cirurgia abdominal ou pélvica, potencial para perda de acesso vascular e potencial para extubação endotraqueal. Os sistema de alerta são um recurso informatizado contínuo de situações essenciais que promove a segurança do paciente e permite construir um modo de estimular o raciocínio clínico e apoiar a tomada de decisão clínica do enfermeiro em Terapia Intensiva.