Short-term group therapies for complicated grief : two research-based models
著者
書誌事項
Short-term group therapies for complicated grief : two research-based models
American Psychological Association, c2011
大学図書館所蔵 全3件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
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注記
Includes bibliographical references (p. 237-272) and index
内容説明・目次
内容説明
Over the past 22 years, William E. Piper and colleagues have developed and tested two models for treating complicated grief (CG) with short-term group therapy. Extensive randomized, controlled clinical trials have demonstrated significantly higher effect sizes for the model treatments than other CG treatments, including individual therapy approaches.
This book begins with a meticulous, comprehensive review of research related to CG, including prevalence, risk factors, effects of patient characteristics and group composition on therapeutic outcome, and mechanisms of change in group therapies for CG. The chapters also describe how the two models were developed and tested. Finally, the book explains how to administer the models, including assessing patients, forming groups, preparing group members for treatment, and running and terminating the group.
目次
Acknowledgments
Introduction
I. Research That Informs the Short-Term Group Therapy Models for Complicated Group
Effectiveness of Individual and Group Therapies
Prevalence of Complicated Grief
Risk Factors for Complicated Grief
Effects of Patient Characteristics on Therapeutic Outcome
Effects of Process Variables on Therapeutic Outcome
Effects of Group Composition on Therapeutic Outcome
II. The Models: Treating Complicated Grief in Short-Term Group Therapy
Assessment and Preparation
Common Components of the Two Models
Time-Limited Short-Term Interpretive Group Therapy
Time-Limited Short-Term Supportive Group Therapy
Afterword: Future Directions
References
Index
About the Authors
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