Objetivo: elaborar e validar instrumento para assistência de enfermagem, baseado em literatura específica para pacientes internados em Unidade de Terapia Intensiva, de um hospital universitário do estado de São Paulo. Método: estudo metodológico, com coleta de dados de agosto a dezembro de 2015, em três fases: caracterização da população e levantamento dos diagnósticos de enfermagem, elaboração, e validação do instrumento para o registro do Processo de Enfermagem. Para a validação de conteúdo, utilizou-se a técnica Delphi, com um grupo de especialistas na área, composto por 11 jurados. Resultados: durante a coleta de dados, 152 pacientes estiveram internados, 61,18% do sexo masculino, com idade média de 54,9 anos. O conteúdo do instrumento foi validado com índice de validação > 0,81. Conclusão: a construção de instrumentos para o processo de Enfermagem é útil para facilitar a implementação da assistência, evidenciar a assistência, incrementar a comunicação e segurança dos cuidados em saúde.
Objective to present the knowledge produced about sleep and Acute Coronary Syndrome in order to assist in the elaboration of the operational and conceptual definitions of the defining characteristics of the nursing diagnosis Disturbed Sleep Pattern (00198).Method integrative review in the following databases: COCHRANE; SCOPUS; MEDLINE (Medical Literature Analysis and Retrieval System Online) via Pubmed; LILACS (Latin American and Caribbean Health Science Literature Database); CINAHL (Cumulative Index to Nursing and Allied Health Literature) and EMBASE (The Excerpta Medical Database). At the end of the search, 2827 studies were found, 43 were selected for reading, and 10 were included in the review. The gray literature was also included.Results important findings related to clinical evidence and contributing factors of sleep were found in the review. However, in order to build definitions of the defining characteristics, it was necessary to use gray literature, such as a Portuguese dictionary and two textbooks about sleep.Conclusion the definitions will help nurses in their practice in the collection of information, in the determination of the nursing diagnosis studied here, and in directing care measures with respect to quantity and quality of sleep of Acute Coronary Syndrome inpatients. They will also assist in the next steps of the validation of this diagnosis to the referred population.
Objective: To generate a Classification Tree for the correct inference of the Nursing Diagnosis Fluid Volume Excess (00026) in chronic renal patients on hemodialysis. Method: Methodological, cross-sectional study with patients undergoing renal treatment. The data were collected through interviews and physical evaluation, using an instrument with socio-demographic variables, related factors, associated conditions and defining characteristics of the studied diagnosis. The classification trees were generated by the Chi-Square Automation Interaction Detection method, which was based on the Chi-square test. Results: A total of 127 patients participated, of which 79.5% (101) presented the diagnosis studied. The trees included the elements “Excessive sodium intake” and “Input exceeds output”, which were significant for the occurrence of the event, as the probability of occurrence of the diagnosis in the presence of these was 0.87 and 0.94, respectively. The prediction accuracy of the trees was 63% and 74%, respectively. Conclusion: The construction of the trees allowed to quantify the probability of the occurrence of Fluid Volume Excess (00026) in the studied population and the elements “Excessive sodium intake” and “Input exceeds output” were considered predictors of this diagnosis in the sample.
OBJECTIVE To clinically validate the nursing diagnosis, disturbed sleep pattern (00198), in patients with acute coronary syndrome. DATA COLLECTION A clinical validation study using the patient history, Visual Analog Sleep scale, and diagnostic inference. Accuracy techniques were performed. SYNTHESIS OF DATA There were 75 patients: 76.00% were men, and 82.66% had a myocardial infarction. The defining characteristic, changes in sleep pattern, presented a sensitivity of 0.900 and specificity of 0.9714. CONCLUSION Changes in sleep pattern was a predictor of the nursing diagnosis. IMPLICATIONS FOR PRACTICE Results will contribute to the identification of sleep disturbances, by nurses, emphasizing the importance of improving sleep during hospitalization. OBJETIVO Validar clinicamente o Diagnóstico de Enfermagem Padrão de Sono Prejudicado (00198) em pacientes com Síndrome Coronariana Aguda. MÉTODOS Estudo de validação clínica, utilizando Histórico de Enfermagem, Escalas Visuais Análogas do Sono e inferência diagnóstica. Realizada medidas de acurácia. RESULTADOS 75 pacientes, 76,00% homens e 82,66% com Infarto do Miocárdio. A característica definidora Alteração do Padrão de Sono teve 0,900 de Sensibilidade e 0,9714 de Especificidade. CONCLUSÕES Alteração do padrão de sono foi preditora do diagnóstico de enfermagem. IMPLICAÇÕES PARA A PRÁTICA Contribuirá na identificação de distúrbios do sono, pelos enfermeiros, ressaltando a importância da melhoria do sono durante a internação.
Objective: to analyze the content of the defining characteristics of the Disturbed Sleep Pattern Nursing Diagnosis (00198) in patients with Acute Coronary Syndrome. Method: content analysis performed by specialists who achieved a score equal to or greater than five, according to established criteria: clinical experience, teaching and/or research; participation in research groups; doctorate degree; master's degree; specialization and/or residency in cardiology and/or sleep and/or nursing classifications. Eight defining characteristics were evaluated for their relationship to population, relevance, clarity and accuracy. Descriptive statistics were performed to characterize the sample, binomial statistical test to establish if there is agreement between the experts and chi-square and Fisher's exact to establish associations between the evaluated items and the experts' variables. Results: 54 experts participated in the study. The defining characteristics validated by the experts were the following: dissatisfaction with sleep, feeling unrested, sleep deprivation, alteration in sleep pattern, unintentional awakening, difficulty initiating sleep and daytime sleepiness. There was a statistically significant association between evaluated items and the variables time of training, time of operation and punctuation. Conclusion: seven of the eight defining characteristics were considered valid after the application of binomial test. This study will contribute to the refinement of the Disturbed Sleep Pattern Nursing Diagnosis (000198) and may enable the improvement of the quality of care of patients hospitalized with Acute Coronary Syndrome regarding changes in sleep pattern. The content analysis stage will support the next stage of the validation process of the present diagnosis, the clinical validation.
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