-
- Anne Tiedemann, Catherine Sherrington, Teresa Orr, Jamie Hallen, Donna Lewis, Ann Kelly, Constance Vogler, Stephen R Lord, and Jacqueline C T Close.
- Musculoskeletal Division, The George Institute for Global Health, Sydney, New South Wales, Australia.
- Emerg Med J. 2013 Nov 1;30(11):918-22.
BackgroundHospital emergency departments (EDs) treat a high proportion of older people, many as a direct consequence of falling.ObjectiveTo develop and externally validate a fall risk screening tool for use in hospital EDs and to compare the tool's predictive ability to existing screening tools.MethodsThis prospective cohort study involved two hospital EDs in Sydney, Australia. Potential participants were people aged 70+ years who presented to the ED after falling or with a history of 2+ falls in the previous year and were subsequently discharged. 219 people participated in the tool development study and 178 people participated in the external validation study. Study measures included number of fallers during the 6-month follow-up period, and physical status, medical history, fall history and community service use.Results31% and 35% of participants fell in the development and external validation samples, respectively. The developed two-item screening tool included: 2+ falls in the past year (OR 4.18, 95% CI 2.61 to 6.68) and taking 6+ medications (OR 1.89, CI 1.18 to 3.04). The area under the receiver operating characteristic curve (AUC) was 0.70 (0.64-0.76). This represents significantly better predictive ability than the measure of 2+ previous falls alone (AUC 0.67, 0.62-0.72, p=0.02) and similar predictive ability to the FROP-Com (AUC 0.73, 0.67-0.79, p=0.25) and PROFET screens (AUC 0.70, 0.62-0.78, p=0.5).ConclusionsA simple, two-item screening tool demonstrated good external validity and accurately discriminated between fallers and non-fallers. This tool could identify high risk individuals who may benefit from onward referral or intervention after ED discharge.
Notes
Knowledge, pearl, summary or comment to share?You can also include formatting, links, images and footnotes in your notes
- Simple formatting can be added to notes, such as
*italics*
,_underline_
or**bold**
. - Superscript can be denoted by
<sup>text</sup>
and subscript<sub>text</sub>
. - Numbered or bulleted lists can be created using either numbered lines
1. 2. 3.
, hyphens-
or asterisks*
. - Links can be included with:
[my link to pubmed](http://pubmed.com)
- Images can be included with:
![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
- For footnotes use
[^1](This is a footnote.)
inline. - Or use an inline reference
[^1]
to refer to a longer footnote elseweher in the document[^1]: This is a long footnote.
.