Literature DB >> 21180848

[Profile of elderly admitted to public hospitals of Niterói (RJ) due to falls].

Fátima de Lima Paula1, Maria de Jesus Mendes da Fonseca, Raquel de Vasconcellos Carvalhaes de Oliveira, Suely Rozenfeld.   

Abstract

OBJECTIVE: to describe the common characteristics of elderly people admitted to public hospitals of Niterói (RJ) due to falls.
METHODS: Cross-sectional study with 110 elderly patients (60 years and more) admitted to public hospitals in Niteroi - RJ, with fractures after falls. Data were collected by a multidimensional questionnaire. Multiple correspondence and cluster analysis were used to describe the characteristics of this population.
RESULTS: The results indicated four groups. The first group was formed by individuals with better physical conditions who did not have a hip fracture, were more independent, used to go out more than twice a week, had good vision, had a short hospital stay, and were discharged to their homes. There was a group with worse conditions including those who were less independent, had a long hospital stay (more than 30 days), and died at the hospital. A third group was formed by those who had had a hip fracture, had poor vision, and used to go out less than once a week. The fourth group was comprised of those who stayed in the hospital from 11 to 30 days and used to go out once or twice a week.
CONCLUSIONS: The multiple correspondence analysis proved to be a good technique to identify subgroups with common characteristics, which provides tools for the creation of strategies for fall prevention programs.

Entities:  

Mesh:

Year:  2010        PMID: 21180848     DOI: 10.1590/s1415-790x2010000400004

Source DB:  PubMed          Journal:  Rev Bras Epidemiol        ISSN: 1415-790X


  2 in total

1.  Nursing Diagnosis Risk for falls: prevalence and clinical profile of hospitalized patients.

Authors:  Melissa de Freitas Luzia; Marco Antonio de Goes Victor; Amália de Fátima Lucena
Journal:  Rev Lat Am Enfermagem       Date:  2014 Mar-Apr

2.  Clustering symptoms of non-severe malaria in semi-immune Amazonian patients.

Authors:  Antonio C Martins; Felipe M Araújo; Cássio B Braga; Maria G S Guimarães; Rudi Nogueira; Rayanne A Arruda; Lícia N Fernandes; Livia R Correa; Rosely Dos S Malafronte; Oswaldo G Cruz; Cláudia T Codeço; Mônica da Silva-Nunes
Journal:  PeerJ       Date:  2015-10-13       Impact factor: 2.984

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.