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Elderly patients attended in emergency health services in Brazil: a study for victims of falls and traffic accidents

Overview of attention for article published in Ciência & Saúde Coletiva, March 2015
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Title
Elderly patients attended in emergency health services in Brazil: a study for victims of falls and traffic accidents
Published in
Ciência & Saúde Coletiva, March 2015
DOI 10.1590/1413-81232015203.19582014
Pubmed ID
Authors

Mariana Gonçalves de Freitas, Palmira de Fátima Bonolo, Edgar Nunes de Moraes, Carla Jorge Machado

Abstract

The article aims to describe the profile of elderly victims of falls and traffic accidents from the data of the Surveillance Survey of Violence and Accidents (VIVA). The VIVA Survey was conducted in the emergency health-services of the Unified Health System in the capitals of Brazil in 2011. The sample of elderly by type of accident was subjected to the two-step cluster procedure. Of the 2463 elderly persons in question, 79.8% suffered falls and 20.2% were the victims of traffic accidents. The 1812 elderly who fell were grouped together into 4 clusters: Cluster 1, in which all had disabilities; Cluster 2, all were non-white and falls took place in the home; Cluster 3, younger and active seniors; and Cluster 4, with a higher proportion of seniors 80 years old or above who were white. Among cases of traffic accidents, 446 seniors were grouped into two clusters: Cluster 1 of younger elderly, drivers or passengers; Cluster 2, with higher age seniors, mostly pedestrians. The main victims of falls were women with low schooling and unemployed; traffic accident victims were mostly younger and male. Complications were similar in victims of falls and traffic accidents. Clusters allow adoption of targeted measures of care, prevention and health promotion.

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 15 18%
Student > Master 12 15%
Unspecified 8 10%
Student > Ph. D. Student 8 10%
Researcher 5 6%
Other 8 10%
Unknown 26 32%
Readers by discipline Count As %
Nursing and Health Professions 13 16%
Medicine and Dentistry 13 16%
Unspecified 8 10%
Social Sciences 4 5%
Psychology 4 5%
Other 12 15%
Unknown 28 34%