Validating components of a falls risk assessment instrument

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Show simple item record Donoghue, Judith en_US Graham, Jenny en_US Gibbs, Julie en_US Mitten-Lewis, Suzanne en_US Blay, Nicole en_US 2009-12-21T02:33:44Z 2009-12-21T02:33:44Z 2003 en_US
dc.identifier 2003001886 en_US
dc.identifier.citation Donoghue Judith et al. 2003, 'Validating components of a falls risk assessment instrument', Emerald, vol. 16, no. 1, pp. 21-28. en_US
dc.identifier.issn 0952-6862 en_US
dc.identifier.other C1 en_US
dc.description.abstract Falls are a significant burden on the Australian health care budget and can result in loss of personal independence, injury or death. A sustained high rate of inpatient falls in a 550-bed acute care hospital has made it imperative for nurses to identify patients at highest risk, in order to implement preventive interventions. This study examined the prevalence of intrinsic high risk characteristics identified by the literature in people who fell during hospitalization, to confirm the validity of these predictors in detecting risk. Over ten weeks 91 inpatients fell (total 118 falls) and were assessed for intrinsic risk factors. Most prevalent was impaired ambulatory status resulting in balance instability. Other high prevalence factors included cognitive impairment and age > 75. Commonly cited factors, such as urinary or fecal incontinence, medications and history of prior falls, were found less frequently. No significant differences in risk factors by gender were identified. en_US
dc.publisher Emerald en_US
dc.relation.isbasedon en_US
dc.title Validating components of a falls risk assessment instrument en_US
dc.parent International Journal of Health Care Quality Assurance en_US
dc.journal.volume 16 en_US
dc.journal.number 1 en_US
dc.publocation West Yorkshire, England en_US
dc.identifier.startpage 21 en_US
dc.identifier.endpage 28 en_US Clinical Nursing: Practices and Outcomes en_US
dc.conference Verified OK en_US
dc.for 111700 en_US
dc.personcode 840200 en_US
dc.personcode X000104 en_US
dc.personcode X000099 en_US
dc.personcode Q000177 en_US
dc.personcode 10663351 en_US
dc.percentage 100 en_US Public Health and Health Services en_US
dc.classification.type FOR-08 en_US
dc.staffid 104289 en_US

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