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  1. 0 資料タイプ別
  2. 01 学術雑誌論文
  1. 821 危機管理室
  2. 10 学術雑誌論文
  3. 10 査読済論文

World Health Organization fracture risk assessment tool in the assessment of fractures after falls in hospital

http://hdl.handle.net/10191/26646
http://hdl.handle.net/10191/26646
397506f4-ee19-4e1a-9678-da6c15fd7546
名前 / ファイル ライセンス アクション
10_106.pdf 10_106.pdf (454.2 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2014-03-24
タイトル
タイトル World Health Organization fracture risk assessment tool in the assessment of fractures after falls in hospital
タイトル
言語 en
タイトル World Health Organization fracture risk assessment tool in the assessment of fractures after falls in hospital
言語
言語 eng
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ journal article
著者 Toyabe, Shin-ichi

× Toyabe, Shin-ichi

WEKO 4433

Toyabe, Shin-ichi

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抄録
内容記述タイプ Abstract
内容記述 Background: Falls are very common accidents in a hospital. Various risk factors and risk assessment tools are used to predict falls. However, outcomes of falls such as bone fractures have not been considered in these risk assessment tools, and the performance of risk assessment tools in a Japanese hospital setting is not clear. Methods: This was a retrospective single-institution study of 20,320 inpatients aged from 40 to 90 years who were admitted to a tertiary-care university hospital during the period from April 2006 to March 2009. Possible risk factors for falls and fractures including STRATIFY score and FRAX^TM score and information on falls and their outcome were obtained from the hospital information system. The datasets were divided randomly into a development dataset and a test dataset. The chi-square test, logistic regression analysis and survival analysis were used to identify risk factors for falls and fractures after falls. Results: Fallers accounted for 3.1% of the patients in the development dataset and 3.5% of the patients in the test dataset, and 2.6% and 2.9% of the fallers in those datasets suffered peripheral fractures. Sensitivity and specificity of the STRATIFY score to predict falls were not optimal. Most of the known risk factors for falls had no power to predict fractures after falls. Multiple logistic analysis and multivariate Cox's regression analysis with time-dependent covariates revealed that FRAX^TM score was significantly associated with fractures after falls. Conclusions: Risk assessment tools for falls are not appropriate for predicting fractures after falls. FRAX^TM might be a useful tool for that purpose. The performance of STRATIFY to predict falls in a Japanese hospital setting was similar to that in previous studies.
書誌情報 BMC Health Services Research
en : BMC Health Services Research

巻 10, p. 106-1-106-12, 発行日 2010-04
出版者
出版者 BioMed Central
ISSN
収録物識別子タイプ ISSN
収録物識別子 14726963
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA12034989
DOI
識別子タイプ DOI
関連識別子 info:doi/10.1186/1472-6963-10-106
権利
権利情報 (C) 2010 Toyabe; licensee BioMed Central Ltd.
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