癌症的慈悲情感聚焦疗法(EFT):人类的接触

Shakila
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引用次数: 0

摘要

在过去的几十年里,我们见证了癌症治疗和护理方面的巨大进步,随着不断的创新,一个发现建立在另一个发现的基础上,这是医学上大多数新进步的原因,通常会导致早期发现和更有效的治疗选择。然而,癌症的诊断仍然可能是可怕的,它经常带来广泛的困难情绪,对一个人生活的许多领域产生重大影响。在这一追求中,一个新的维度已经发展到与临床评估和医疗管理一起工作-情绪聚焦疗法(EFT)。情感聚焦治疗是一种实证支持的人本主义治疗,是心理治疗研究与建构主义心理学、情感理论和依恋理论相结合而产生的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compassionate Emotion-Focused Therapy (EFT) for Cancer: The Human Touch
We have witnessed tremendous progress in cancer treatment and care during the past decades and with continuous innovations with one discovery building on another are responsible for most new advances in medicine that often leads to early detection and more effective options for treatment. However a diagnosis of cancer is still likely to be frightening and it often brings up a wide range of difficult emotions which have the significant impact on many areas of a person’s life. In this pursuit, a new dimension has been developed to work along with the clinical assessment and medical management-Emotion-Focussed Therapy (EFT). Emotion-focused therapy is empirically supported humanistic treatment that arose out the theoretical integration of research on psychotherapy with ideas from constructivist psychology, emotion theory and attachment theory.
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来源期刊
Journal of Medical Imaging and Health Informatics
Journal of Medical Imaging and Health Informatics MATHEMATICAL & COMPUTATIONAL BIOLOGY-RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
自引率
0.00%
发文量
0
审稿时长
6-12 weeks
期刊介绍: Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas. As an example, the Distributed Diagnosis and Home Healthcare (D2H2) aims to improve the quality of patient care and patient wellness by transforming the delivery of healthcare from a central, hospital-based system to one that is more distributed and home-based. Different medical imaging modalities used for extraction of information from MRI, CT, ultrasound, X-ray, thermal, molecular and fusion of its techniques is the focus of this journal.
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