Classification tree for the inference of the nursing diagnosis Fluid Volume Excess (00026)

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.

USE OF THE TERMINOLOGICAL SUBSET "COMMUNITY NURSING" FOR HYPERTENSIVE AND/OR DIABETIC USERS

ABSTRACT Objective: to determine the accuracy measures of clinical indicators of nursing diagnoses contained in the Terminological Subset "Community Nursing" for hypertensive and/or diabetic users. Method: methodological diagnostic accuracy study. The study population consisted of 363 hypertensive and/or diabetic users under follow-up care in three Health Centers in the city of Campinas, from August 2017 to February 2018. Data were collected through anamnesis. Data analysis consisted of the characterization of the population through descriptive statistics, and the analysis of clinical indicators and their respective Nursing Diagnoses was performed through accuracy measures. Results: 25 Nursing diagnoses were listed, related to 37 clinical indicators, which could be used in the hypertensive and/or diabetic population. It is emphasized that three were not contained in the Terminological Subset "Community Nursing", and it is recommended that they be introduced in the International Council of Nurses. Conclusion: through the evaluation of accuracy measures, the Terminological Subset "Community Nursing" can and should be used in Brazil in the hypertensive and/or diabetic population.

DISTURBED SLEEP PATTERN (000198): CONTENT ANALYSIS IN PATIENTS WITH ACUTE CORONARY SYNDROME

ABSTRACT 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.

ELABORAÇÃO E VALIDAÇÃO DE INSTRUMENTO DE ASSISTÊNCIA DE ENFERMAGEM PARA PACIENTES EM UNIDADES DE TERAPIA INTENSIVA

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.

Conceptual and operational definitions of the defining characteristics of the nursing diagnosis Disturbed Sleep Pattern

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.