POLÍTICA NACIONAL DO IDOSO E SUA IMPLEMENTAÇÃO NA ASSISTÊNCIA DE ENFERMAGEM

Pesquisa bibliográfica cujos objetivos foram identificar as produções sobre saúde na perspectiva da Política Nacional do Idoso, evidenciando sua aplicabilidade na assistência de enfermagem. Captaram-se textos completos, através dos descritores políticas de saúde, idoso e enfermagem. A amostra compôs-se de 14 artigos científicos, cujos resultados mostram que o sistema de saúde não está preparado para atender a demanda de idosos; faz-se necessário implantar novas diretrizes curriculares para a educação especializada. Conclui-se que a implementação das políticas é limitada pela ineficiência de órgãos gestores; e a enfermagem precisa incrementar as pesquisas que resultem de seu trabalho e suas contribuições à saúde do idoso.Palavras-chave: Políticas de saúde; Idoso; Enfermagem

Social representations of older adults regarding quality of life

ABSTRACT Objective: to identify the social representations of older adults regarding quality of life, and to analyze the care practices adopted to promote it. Method: qualitative, exploratory, descriptive research, applying the Theory of Social Representations. Thirty older people from a Health Academy of Rio de Janeiro participated in the study. The software Alceste was used, and lexical analysis of data was performed. Results: social representations of quality of life are based on the social determinants of health; they evidence knowledge and practices of care by valuing physical activities. The practices promoting quality of life comprise healthy eating habits, daily physical exercise, social participation, interaction and socialization, accomplishment of leisure activities and daily tasks with independence and autonomy, and support and family contact. Final considerations: the elderly have a global understanding of the concept of quality of life, coordinate knowledge built in daily life and knowledge coming from the technical-professional field, which evidences the multidimensionality of the concept

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

Background: We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods: The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV). Results: Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60 years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%. Conclusions: Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death. The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use