Predicting Work Outcome in Patients with Schizophrenia
| Project/Area Number |
15K04109
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Clinical psychology
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| Research Institution | Fukushima University |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2020-03-31
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| Project Status |
Completed (Fiscal Year 2019)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2019: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 統合失調症 / 機能的転帰 / 高次認知機能 / 労働 / 意味記憶 / カテゴリ流暢性 / 労働状態 / 生活の質 / 認知機能 / 確率予測モデル / 就労 |
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| Outline of Final Research Achievements |
The purposes of the study were to investigate factors to predict work outcome and to examine the accuracy of the perdition in patients with schizophrenia. The method to evaluate higher-order cognition was also studied to explore the effective variable(s) in the prediction. Logistic regression analysis showed that cognitive decline, psychiatric symptoms, and social function were significant variables to predict work status (work hours per week) in patients with schizophrenia. Overall, estimation was accurate yielding 70-80% accuracy. Singular value decomposition (SVD) analysis was applied to category fluency data to explore effective variable(s) of higher-order cognition to be used in predicting work outcome. The SVD analysis suggested that cosine value was the useful variable, revealing irregularity of the semantic memory organization in patients with schizophrenia.
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| Academic Significance and Societal Importance of the Research Achievements |
社会的意義：本邦での精神疾患患者の就労状況は、欧米に比べ良好とはいえない。本研究は、精神疾患患者の労働状態について客観的データを提供することにより、研究面から当事者・雇用者の支援に寄与する。
学術的意義：本研究では、統合失調症患者の高次認知機能評価指標を得るために、テキストマイニング手法（特異値分解法）を試みた。従来、主として人文科学で利用されてきた同手法の精神医学分野への応用は、文理融合型研究を推進するものである。
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Report
(6 results)
Research Products
(25 results)
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[Presentation] 統合失調症患者の就労に関わる要因とその回復目標2015
Author(s)
住吉チカ, Philip D. Harvey, 高木 学, 岡久祐子, 佐藤 拓, 曽良一郎, Kenneth L. Subotnik, Keith H. Nuechterlein, 住吉太幹
Organizer
第15回精神疾患と認知機能研究会
Place of Presentation
海運クラブビル （東京都・千代田区）
Year and Date
2015-11-01
Related Report
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