English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113318/144297 (79%)
Visitors : 50985880      Online Users : 299
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
    •  Adv. Search
    Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer Goto mobile version


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/61104


    Title: 影響台灣精神疾病患者未持續或中斷就醫之風險因素探討-以精神分裂症及情感性精神病為例
    Other Titles: Treatment Dropout Predictors for Patient with Psychiatric Disorder in Taiwan: Schizophrenia and Manic-Depression Psychosis
    Authors: 宋麗玉;張作貞;吳秀蘭
    Song,Li-Yu;Chang,Tso-Chen;Wu,Shiou-Lan
    Contributors: 政大社工所
    Keywords: 精神分裂症;情感性精神病;未持續或中斷就醫;多重復發事件之存活分析;健保資料庫
    Schizophrenia;manic-depression psychosis;treatment dropout;repeated recurrent event survival analysis;claim data
    Date: 2010-12
    Issue Date: 2013-09-26
    Abstract: 目的：本研究乃探索性分析，藉以透過健保資料庫探討影響精神疾病患者未持續或中斷就醫的風險因素。方法：利用國家衛生研究院全民健康保險研究資料庫20萬人承保抽樣歸人檔中，2000年確診爲精神分裂症及情感性精神病之精神疾病患者，取其1997至2004年所有就醫資料，進行多重復發事件存活分析。結果：影響精神疾病患者之未持續或中斷就醫因素包括，女性風險明顯高於男性的1.185倍、17歲以下的風險高於其他年齡層、未在保的風險高於其他加保類別、每月健保費繳交金額超過605元的風險高於低於524元的1.058倍、每次就醫部分負擔金額高低影響並不顯著、未跨區就醫的風險高於跨區、精神分裂症的風險高於情感性精神病。CCI權重得分愈高者的風險是得分低者的1.258倍、有使用日間病房及社區復健的風險高於未使用者、未領取重大傷病證明卡的風險要高於有領重大傷病證明卡。結論：本研究所得影響精神疾病患者之未持續或中斷就醫的風險因素分析結果，提供未來精神醫療體系或全民健康保險之政策改革參考。
    Purposes: Mental health treatment dropout is common; however, dropout patterns and predictors are poorly understood in Taiwan. This study explored patterns and predictors of mental health treatment dropout in a nationally representative sample. Methods: Claim data were from the Longitudinal Health insurance Database 2000 (LHID2000) of Bureau of National Health insurance. Subjects were diagnostic with schizophrenia and manic-depression psychosis in 2000. Their medical services utilization was analyzed for 1997-2004. Repeated recurrent event survival analyses were used to identify dropout predictors. Results: The main findings of this study are as follows: (1) the female sex, young age, underinsured status, and schizophrenia were associated with high dropout risk. (2) Psychiatric comorbidity was associated with a trend toward dropout. (3) Patients who use daycare services for the mentally ill and psychiatric community rehabilitation services were at higher dropout risk than those who did not use these services. (4) Patients who had a catastrophic illness card were at higher dropout risk than those without this card. Conclusions: Study findings underscore the importance of research to understand the clinical significance of dropout predicators, especially for populations at high dropout risk in Taiwan.
    Relation: 醫護科技期刊, 12(4), 265-279
    Data Type: article
    Appears in Collections:[社會工作研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    265279.pdf5834KbAdobe PDF21008View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback