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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\u0027s 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.", "subitem_description_type": "Abstract"}]}, "item_5_publisher_7": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "BioMed Central"}]}, "item_5_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "info:doi/10.1186/1472-6963-10-106", "subitem_relation_type_select": "DOI"}}]}, "item_5_rights_15": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "(C) 2010 Toyabe; licensee BioMed Central Ltd."}]}, "item_5_select_19": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_5_source_id_11": {"attribute_name": "書誌レコードID", "attribute_value_mlt": [{"subitem_source_identifier": "AA12034989", "subitem_source_identifier_type": "NCID"}]}, "item_5_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "14726963", "subitem_source_identifier_type": "ISSN"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Toyabe, Shin-ichi"}], "nameIdentifiers": [{"nameIdentifier": "4433", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2019-07-29"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "10_106.pdf", "filesize": [{"value": "454.2 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 454200.0, "url": {"label": "10_106.pdf", "url": "https://niigata-u.repo.nii.ac.jp/record/1584/files/10_106.pdf"}, "version_id": "e88546ac-b566-4799-96c2-b5f7a72aff11"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "World Health Organization fracture risk assessment tool in the assessment of fractures after falls in hospital", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "World Health Organization fracture risk assessment tool in the assessment of fractures after falls in hospital"}, {"subitem_title": "World Health Organization fracture risk assessment tool in the assessment of fractures after falls in hospital", "subitem_title_language": "en"}]}, "item_type_id": "5", "owner": "1", "path": ["454", "494"], "permalink_uri": "http://hdl.handle.net/10191/26646", "pubdate": {"attribute_name": "公開日", "attribute_value": "2014-03-24"}, "publish_date": "2014-03-24", "publish_status": "0", "recid": "1584", "relation": {}, "relation_version_is_last": true, "title": ["World Health Organization fracture risk assessment tool in the assessment of fractures after falls in hospital"], "weko_shared_id": null}
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/10191/26646397506f4-ee19-4e1a-9678-da6c15fd7546
名前 / ファイル | ライセンス | アクション |
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10_106.pdf (454.2 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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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 |
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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 |
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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. | |||||
著者版フラグ | ||||||
値 | publisher |