OBJECTIVE To analyze the ranking and percentage variation of the main causes of hospital admissions and death of Brazilian elders between 2005 and 2015, according to gender and age groups. METHOD Retrospective and temporal analysis study. The six main causes of hospitalization and death of elders were collected in DATASUS according to sex and age groups (60 ~ 79, ≥80) in 2017. RESULTS Heart Failure (2005) and pneumonia (2015) were the two main causes of hospital admissions in both sexes and age groups, except for the younger group. Acute Myocardial Infarction was the main cause of death in 2005 and 2015. The second cause in the overall ranking was the Stroke in 2005 and Pneumonia in 2015. CONCLUSION Circulatory and respiratory diseases were the main causes of hospital admissions and death among the elderly, highlighting the impotant increase in pneumonia as a cause of morbimortality.

Resumo OBJETIVO Descrever a implantação de um processo padronizado de comunicação eficaz para transferência temporária do cuidado de pacientes hospitalizados. MÉTODO Relato de experiência da implantação de processo de transferência temporária do cuidado entre profissionais1 das unidades de internação e áreas de procedimentos diagnóstico-terapêuticos de um hospital universitário do sul do Brasil. O processo iniciou em 2015 envolvendo unidades de internação adulto e radiologia, sendo expandido para demais áreas do hospital em 2017. A construção do formulário se deu por meio de reuniões e capacitações com os profissionais envolvidos, visando contemplar as especificidades do cuidado. RESULTADO O formulário elaborado contempla aspectos relevantes sobre o paciente, subsidiando os profissionais durante as transições do cuidado, o transporte e realização de procedimentos. CONSIDERAÇÕES FINAIS Sua implantação agregou segurança e fortaleceu o processo de comunicação eficaz e estruturada entre profissionais de enfermagem.

Objective: To verify the predictors associated with sick leave from 15 days onwards among Nursing professionals of an emergency hospital service. Method: A cross-sectional, retrospective, and descriptive-analytical study. The sample consists of the records of sick leave (n=2,403) due to diseases of the Nursing professionals (n=197) working in an emergency hospital service in southern Brazil, from 2013 to 2018. Descriptive and statistical analysis was used, as well as the multivariate regression model. Results: There was predominance of females (72.6%), white-skinned (86.3%), with a mean age of 45.05 (SD=9.77) years old, and nursing technicians (74.6%). The prevalent cause of sick leave was related to clinical diseases (62.5%). The predictors associated with sick leave from 15 days onwards were the following: Age (OR: 0.97; 95% CI=0.95-0.99) and Musculoskeletal Diseases (OR: 8.95; 95% CI=5.30-15.11). Conclusion: Age and musculoskeletal diseases were predictors of sick leave from 15 days onwards of the Nursing team.

This study was aimed at verifyjing the relationship between demographic and clinicalfeatures and nursing diagnoses established during a nurse consultation in a general hospital. This is a cross-sectional study that assessed 237 nursing consultations of patients in two different programs Women's Health (46 in obstetrical nursing and 24 in mastology nursing) and 167 in diabetes mellitus education. A total of 49 nursing diagnoses were identified. The most frequent in the women's health program were: knowledge deficit, impaired comfort, impaired tissue, integrity and anxiety; in the program of diabetes education were: ineffective therapeutic regimen management, and imbalanced nutrition: more than body requirements. There was a significant association between the most common diagnoses with certain demographic and clinical features. The results confirmed that the identification of the nursing diagnoses during the consultation may provide accuracy in the focus of outpatient care.

RESUMO Objetivo: analisar a correspondência entre os diagnósticos de Enfermagem da NANDA Internacional e áreas de cuidado e indicadores críticos do Sistema de Classificação de Pacientes de Perroca. Método: estudo descritivo de mapeamento cruzado realizado em unidades clínicas e cirúrgicas de um hospital universitário brasileiro em 2017. Amostra de 680 pacientes internados. Dados coletados em prontuário eletrônico e banco de dados do Sistema de Classificação de Pacientes de Perroca, analisados por mapeamento cruzado e estatística descritiva. Resultados: os registros demonstraram 58 diagnósticos de Enfermagem para pacientes classificados, na maioria (59,5%), como cuidados semi-intensivos pelo Sistema de Classificação de Pacientes de Perroca. Todos os diagnósticos de Enfermagem foram mapeados com correspondência pelo menos em uma área de cuidado. Conclusão: os diagnósticos de Enfermagem revelam a necessidades do paciente e também podem indicar o grau de complexidade do cuidado e dependência da equipe de Enfermagem, sendo guias importantes no gerenciamento do cuidado.