Internação de idosos no Estado do Rio de Janeiro: espaço geográfico e determinação social

• Autor(a) principal: Guerra, Ana Carolina Lima Cavaletti
• Data de Publicação: 2016
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/8785
• topic: Hospitalization; Health of the elderly; Social determinants of health; Epidemiology; Geography; medical; Hospitalização; Saúde do idoso; Determinantes sociais da saúde; Epidemiologia; Geografia médica; Idosos Doenças Epidemiologia Rio de Janeiro (Estado); Geografia médica; Saúde do Idoso; Hospitalização; Determinantes Sociais da Saúde; CNPQ::CIENCIAS DA SAUDE::SAUDE COLETIVA::EPIDEMIOLOGIA

The admissions can be avoided from the reorganization of health services, but to analyze the hospital only from the perspective of health and disease is not enough. It should be noted the influence of life contexts in the health of its population. In this sense, the present study aims to meet the hospitalization profile of the aged in the Rio de Janeiro state in the period 2008 to 2014, as well as their spatial distribution. For this purpose, hospitalization rate according to main diagnosis (TIHdy) we calculated, according to chapters of ICD- 10, to the municipalities of Rio de Janeiro, through data from Hospital Information System (SIH) and the Brazilian Institute of Geography and Statistics (IGBE). In order to identify groups of municipalities with similar hospitalization profiles, K-means non-hierarchical clustering analysis was applied. The spatial distribution of these groups were visualized using the Spatial Analysis Areas technique. During the period investigated, 465,854 hospitalizations elders 60-69 years, 363,945 elders 70 to 79 years and 233,250 hospitalizations elders 80 or more age, were recorded. Predominated hospitalization from circulatory diseases in all age groups assessed, respiratory diseases and infectious and parasitic diseases, affecting the oldest old, and digestive diseases and neoplasms, especially affected younger elders (60-69 years). Clustering Analysis produced two clusters to the three age groups. The "access and inclusion" profile has the highest hospitalization quantity, however, TIHdy were lower than those presented in the "isolation and vulnerability" profile. The differences between the two groups were clearly identifiable as spatial regions where predominates access to assets and services and social inclusion, opposed regions where isolation and social vulnerability predominate.