Structure and process of nurses' intuition about prediction of patient falls
| Project/Area Number |
15592258
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Clinical nursing
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| Research Institution | Kanazawa University |
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Principal Investigator |
IZUMI Kiyoko Kanazawa University, Faculty of Medicine, Professor, 医学部, 教授 (20115207)
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| Co-Investigator(Kenkyū-buntansha) |
HIRAMATSU Tomoko Kanazawa University, Faculty of Medicine, Assistant Professor, 医学部, 講師 (70228815)
KATO Mayumi Kanazawa University, Faculty of Medicine, Instructor, 医学部, 助手 (20293350)
SYOUGENZI Miho Kanazawa University, Faculty of Medicine, Instructor, 医学部, 助手 (80345636)
MAKIMOTO Kiyoko Osaka University, Faculty of Medicine, Professor, 医学部, 教授 (80262559)
AMATSU Eiko Ishikawa Prefecture Nursing University, Professor, 看護学部, 教授 (30020027)
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| Project Period (FY) |
2003 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥3,500,000 (Direct Cost: ¥3,500,000)
Fiscal Year 2004: ¥1,300,000 (Direct Cost: ¥1,300,000)
Fiscal Year 2003: ¥2,200,000 (Direct Cost: ¥2,200,000)
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| Keywords | Nurses / Intuition / Fall prediction / 予測 / 直感 / ナースの直観 |
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| Research Abstract |
The purpose of this study was to identify how nurses use intuition to predict falls among the institutionalized elderly. In the study, 25 nurses, including an expert nurse, watched the videotaped activities of a high-risk falter and predicted when falls would occur.
A semi-structured interview method and qualitative analysis were used.
The results showed four aspects of the nurses' intuition : observation (visible, invisible), patient characteristics, risk prediction, and intervention. In addition, the results suggested that as the nurses' years of experience increased, intuition changed from inactive to more active and from visible to invisible ; moreover, the variety of intervention methods was wider.
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Report
(3 results)
Research Products
(17 results)
