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In hospital falls of a large hospital

Authors: Aline Brenner de Souza; Vania Röhsig; Rubia Natasha Maestri; Mohamed Fayeq Parrini Mutlaq; Elisiane Lorenzini; Belisa Marin Alves; Daniela Oliveira; +1 Authors

In hospital falls of a large hospital

Abstract

The present database contains information on patient falls in the hospital setting. Data were collected in January 2018 with of describing in-hospital falls reported from 1st January 2012 to 31 December 2017 in a large hospital in the South of Brazil. Learning about the characteristics of these events and establishing a profile may contribute to the design of adequate prevention and improvement strategies that are effective to reduce the risk of falls.This data set encompasses 1.071 in-patients falls characterized by the follow variables: year, date, patient birth, weekday, shift, department/location of the incident, location, severity, presence of companion, age, sex, risk level, medication associated with fall risk, implemented fall prevention protocol, type of injury, reason, restraint prescription, physical therapy prescription.

Keywords

Accident prevention, Male, Science (General), Databases, Factual, QH301-705.5, Nursing, Data Note, Risk Assessment, Q1-390, Accident Prevention, Sex Factors, Risk Factors, Humans, Biology (General), Accidental falls, Aged, Aged, 80 and over, Inpatients, R, Age Factors, Middle Aged, Hospitals, Patient safety, Medicine, Accident Proneness, Accidental Falls, Female, Patient Safety, Brazil

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
Green
gold