Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Predicting falls in residential care by a risk assessment tool, staff judgement, and history of falls
Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå university.
Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå university.
Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå university.
2003 (English)In: Aging Clinical and Experimental Research, ISSN 1594-0667, E-ISSN 1720-8319, Vol. 15, no 1, 51-59 p.Article in journal (Refereed) Published
Abstract [en]

BACKGROUND AND AIMS: It is of great importance to consider whether a tool's predictive value is generalizable to similar samples in other locations. Numerous fall prediction systems have been developed, but very few are evaluated over a different time period in a different location. The purpose of this study was to validate the predictive accuracy of the Mobility Interaction Fall (MIF) chart, and to compare it to staff judgement of fall risk and history of falls. METHODS: The MIF chart, staff judgement, and fall history were used to classify the risk of falling in 208 residents (mean age 83.2 +/- 6.8 years) living in four residential care facilities in northern Sweden. The MIF chart includes an observation of the ability to walk and simultaneously interact with a person or an object, a vision test, and a concentration rating. Staff rated each resident's risk as high or low and reported the resident's history of falls during the past 6 months. Falls were followed up for 6 months. RESULTS: During the follow-up period, 104 residents (50%) fell at least once indoors. Many of the factors commonly associated with falls did not differ significantly between residents who fell at least once and residents who did not fall. In this validating sample the predictive accuracy of the MIF chart was notably lower than in the developmental sample. A combination of any two of the MIF chart, staff judgement, and history of falls was more accurate than any approach alone; more than half of the residents classified as 'high risk' by two approaches sustained a fall within 3 months. CONCLUSIONS: Residents classified as 'high risk' by any two of the MIF chart, staff judgement, and history of falls should be regarded as particularly prone to falling and in urgent need of preventive measures.

Place, publisher, year, edition, pages
2003. Vol. 15, no 1, 51-59 p.
Identifiers
URN: urn:nbn:se:ltu:diva-14449Local ID: dcec6ab0-c25d-11db-9ea3-000ea68e967bOAI: oai:DiVA.org:ltu-14449DiVA: diva2:987422
Note
Upprättat; 2003; 20070222 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

Open Access in DiVA

fulltext(111 kB)78 downloads
File information
File name FULLTEXT01.pdfFile size 111 kBChecksum SHA-512
248d867401f134e36b7b5f9be05b0ac13682edb1c31bff2d96dac6946d2be47f38d779226c7ffa76feebbc650ebbf0b0e3ffa5b6b0c980b4d2151600354d2367
Type fulltextMimetype application/pdf

Authority records BETA

Nyberg, Lars

Search in DiVA

By author/editor
Nyberg, Lars
In the same journal
Aging Clinical and Experimental Research

Search outside of DiVA

GoogleGoogle Scholar
Total: 78 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 320 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf