Objective: To analyze the patient safety climate in intensive care units from the nursing perspective. Methods: Cross-sectional study developed with 87 nursing professionals working in three Intensive Care Units of a public hospital for emergency services in Piauí from October to November 2018. The study used a validated Safety Attitudes Questionnaire (SAQ). In the inferential analysis, the Student’s t-test, Mann-Whitney, and Kruskal-Wallis were performed. Results: The total SAQ score obtained a mean of 68.57. In analyzing the scores obtained for each domain in the general SAQ, the Job Satisfaction, and Teamwork Climate domains were those that obtained the highest scores, and the lowest score was for the Perception of Hospital Management domain. Conclusion: The safety attitudes assessed from the perspective of the nursing team proved to be unfavorable.
This integrative review seeks to present an overview of the application of machine learning (ML) tools in the assessment of the risk of falls in the elderly. We searched the CAPES and IEEE Xplore Periodical databases, articles published in English, Portuguese and Spanish, in the last eleven years. Thirteen articles were selected. Most studies use data from sensors to classify the risk of falling and compare the results obtained with results of clinical tests or history of falls. Some studies carried out the selection of characteristics of the collected signals. Research that compared CI tools and conventional scales pointed to a certain superiority of the former. In the selected articles, Multilayer Perceptron (MLP) neural networks were the most explored. It was possible to observe that the ML tools can be applied in the assessment of the risk of falls in the elderly as a classification resource, showing good results.
Objective: To verify interobserver agreement on wound evaluation using the TIME tool. Methods: Exploratory, nonexperimental study with cross-sectional design and quantitative approach. The population consisted of undergraduate students from the eighth, ninth and tenth periods of the baccalaureate nursing course, enrolled in the second semester of 2018. An expositive-dialogued class about the TIME tool was prepared and presented to the participants. The students were directed to the teaching hospital for socialization of clinical cases and individual evaluation of ten skin lesions with different clinical characteristics in the hospitalized patient, using the TIME tool. To identify the agreement between the students, when using the TIME tool, the Kappa agreement coefficient was used. Results: The number of undergraduates who were attending the ninth period of the course (80%), female (80%), and average age (23.2 years) prevailed. Considering the Kappa classification, there was excellence (K = 1.0) in interobserver agreement in all stages of the TIME tool. Conclusion: It is inferred that the TIME tool ensures agreement in the evaluation of wounds among nursing undergraduates who are attending the last course periods, and may contribute to improving the quality of nursing care.
Objetivo: Verificar a concordância interobservador sobre avaliação de feridas utilizando a ferramenta TIME. Métodos: Estudo de caráter exploratório, não experimental com delineamento transversal e abordagem quantitativa. A população foi constituída por graduandos do oitavo, nono e décimo período do curso de bacharelado em enfermagem, matriculados no segundo semestre do ano de 2018. Aula expositiva-dialogada sobre a ferramenta TIME foi elaborada e posta aos participantes. Os graduandos foram direcionados ao hospital de ensino para socialização de casos clínicos e avaliação individual de dez lesões de pele com características clínicas diferentes, no paciente hospitalizado utilizando a ferramenta TIME. Para identificar a concordância entre os discentes na utilização da ferramenta TIME, foi utilizado o coeficiente de concordância Kappa. Resultados: Prevaleceu o número de graduandos que estavam cursando o nono período do curso (80%), sexo feminino (80%), idade média (23,2 anos). Obteve-se que, considerando a classificação Kappa, houve excelência (K= 1,0) na concordância interobservador em todas as etapas da ferramenta TIME. Conclusão: Infere-se que a ferramenta TIME assegura concordância na avaliação de feridas entre graduandos de enfermagem que estão cursando os últimos períodos de curso, podendo contribuir com a melhoria da qualidade do cuidado de enfermagem.
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