Intensity of mental health treatment of cancer-related psychopathology: the predictive role of Early Maladaptive Schemas

Author:

de Vlaming Irene H.,Schellekens Melanie P. J.ORCID,van der Lee Marije L.ORCID

Abstract

Abstract Purpose With the limited availability of mental healthcare, it is of utmost importance to provide care that matches the needs of patients: short if possible, but also more intense when necessary. This study explored whether Early Maladaptive Schemas (EMSs) play a predictive role in the intensity of needed mental health treatment of cancer-related psychopathology. Methods EMSs were assessed before mental health treatment in 256 patients who sought help at a specialized mental health care centre for those affected by cancer in the Netherlands. Data about treatment indication and intensity of mental health treatment were collected. Univariate and multivariate logistic regression analysis were used to assess the predictive value of the EMSs total score and specific domains on treatment indication and treatment intensity. Results The presence of more severe EMSs predicted an indication for a more intense mental health treatment before start of the treatment, and actual more intense mental health treatment. The domain Impaired Autonomy and Performance appeared to be conceptually close to the domain Disconnection and Rejection, we left the latter out in our multivariate analysis and then found that Impaired Autonomy was the best predictor of intensity of mental health treatment. Conclusion Our findings imply that assessing EMSs could help to identify patients who will receive more treatment time.

Publisher

Springer Science and Business Media LLC

Subject

Oncology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3