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1)脳卒中のリハビリテーション : 在宅介護における問題点(シンポジウム リハビリテーション医療 : 最近の進歩と問題点, 第484回新潟医学会)
http://hdl.handle.net/10191/42251
http://hdl.handle.net/10191/422511e5cea73-e6ee-4318-9c74-e64dc4d906a8
名前 / ファイル | ライセンス | アクション |
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2016-06-23 | |||||
タイトル | ||||||
タイトル | 1)脳卒中のリハビリテーション : 在宅介護における問題点(シンポジウム リハビリテーション医療 : 最近の進歩と問題点, 第484回新潟医学会) | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | 1)脳卒中のリハビリテーション : 在宅介護における問題点(シンポジウム リハビリテーション医療 : 最近の進歩と問題点, 第484回新潟医学会) | |||||
言語 | ||||||
言語 | jpn | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | home care difficulty | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | CVA | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Rehabilitation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 在宅介護困難度 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 多変量解析 | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | departmental bulletin paper | |||||
その他のタイトル | ||||||
その他のタイトル | Rehabilitation for CVA patients : problems in their home care (Rehabilitation Medicine : Recent Advancement and Unsolved Problems) | |||||
著者 |
真柄, 彰
× 真柄, 彰 |
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著者別名 | ||||||
識別子 | 116903 | |||||
識別子Scheme | WEKO | |||||
姓名 | Magara, Akira | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | We tried to predict the difficulty of home care for CVA patients, using Multivariate Statistical Methods. The data were colected by enquete for 289 families caring CVA patients who were discharged after rehabilitation training in our hospital at least one month. We asked 4 items of ADL, 4 items of QOL, 13 items of home care problems, and other social aspects. We also used the data about dementia, aphasia, and apractognosia from the records during hospitalization. We could use 144 cases for the analysis. At the first step we had to grade the home care difficulty by simply adding 12 items of care difficulties. The histogram of the grade (mean 1.0±1.6) showed normal distribution. For the next step we tried to classify the factor items by Principal Component Analysis, and at last we selected 5 factors, which are shown in the below expression for the prediction. By Multiple Regression Analysis, the biggest factor to make difficulty was apractognosia. The biggest factor to reduse difficulty was dementia, the next was transfer ability. Aphasia was neutral. We concluded that we can predict the difficulty of home care by next expression. Difficulty=0.137*Apractognosia+0.05*ADL Ability+0.002*Aphasia-0.02*Transfer Ability-0.03*Dementia The predicted score and the actual score had 0.388 (rS) (n=144) of Spearman's corelation coefficient, that had significant corelation at 1 % error level. | |||||
書誌情報 |
新潟医学会雑誌 en : 新潟医学会雑誌 巻 109, 号 3, p. 95-99, 発行日 1995-03 |
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出版者 | ||||||
出版者 | 新潟医学会 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 00290440 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AN00182415 | |||||
著者版フラグ | ||||||
値 | publisher |