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An Investigation of General Predictors for CBT Outcome for Anxiety Disorders in a Naturalistic Setting

2018년 4월 30일 업데이트: Sara Kerstine Kaya Nielsen, University of Copenhagen

An Investigation of General Predictors for Cognitive Behavioral Therapy Outcome for Anxiety Disorders in a Naturalistic Setting

The aim of this study is to investigate the predictive value of emotion regulation and attentional control for outcome of Cognitive Behavioural Therapy for adults with anxiety disorders in a naturalistic setting.

연구 개요

상태

완전한

정황

상세 설명

Anxiety disorders are a pervasive problem, with an estimated 12-month prevalence of 16.6 %, and they are associated with significant impairment and high social costs. Cognitive behavioral therapy (CBT) has shown to be effective and for treating of anxiety disorders. CBT is furthermore cost-effectiveness.This has made CBT the first choice of treatment for anxiety disorders in many mental health settings around the world. Despite this impressive evidence-base, a relatively large group of individuals do not benefit from CBT, relapse, or drop out of treatment. Thus, there is a clear and pressing need to improve the efficacy and effectiveness of CBT for anxiety disorders. One way in which to improve is to identify predictors of CBT outcome. In naturalistic clinical settings, identification of prognostic factors can help allocate resources to those presumed to benefit most from CBT, while also identifying those who may need additional CBT, adjunctive therapy, or entirely different treatment to maximize outcomes.

Current knowledge about who is most likely to benefit from CBT is sparse and stems primarily from well-controlled laboratory settings. These results may not generalize to patient outcomes in mental health settings, in which patients with more severe and comorbid disorders are often seen. Thus, naturalistic studies have the potential to significantly increase knowledge, inform clinical strategies, and thus improve the treatment offered in mental health settings. Furthermore, existing studies have mostly investigated socio-demographic factors as predictors of drop-out and non-response. However, these variables have shown to be either non-significant or inconsistent predictors of outcome. Results concerning comorbidity as a predictor are also mixed. In sum, knowledge on who is most likely to benefit from CBT is sparse, and to date no reliable predictors have been identified.

While prior work has primarily emphasized atheoretical predictors, it may prove more fruitful to focus on predictor variables stemming from psychological theories. Identifying such predictors can provide direct prognostic information for clinicians. Additionally, these predictors could also inform the development of adjunctive components of treatment that may optimize the treatment for those with poorer CBT outcome. Some exciting studies suggest that such a line of inquiry could yield relevant results.

Maintaining factors is one aspect highlighted by several therapeutic approaches/theories as crucial for the treatment of anxiety disorders, and accordingly these factors are often the target of cognitive and behavioral treatments. Emotion regulation and attentional control are examples of key maintaining factors in anxiety disorders. CBT, which aims to teach patients cognitive reappraisal of maladaptive cognitions and encourages approach (rather than avoidance) behavior via cognitive restructuring and exposure, may be more suitable for patients with certain characteristics. Specifically, recent research and theory suggest that it is crucial for effective treatment of anxiety disorders that clients learn to tolerate fear while being exposed to anxiety-provoking stimuli, rather than merely habituating to the stimuli. Learning to tolerate fear may require emotion regulation skills and the ability to control attention and this has been supported by recent studies. However, so far only certain areas of emotion regulation have been investigated and to date never in a naturalistic setting. Attentional control has never been examined as a predictor of CBT outcomes. Accordingly, this study is designed to investigate the predictive value of attentional control and of three facets of emotion regulation skills.

Attentional control There is strong evidence that individuals with anxiety disorders have biased attention towards threatening stimuli, but there is no consensus as to why these biases occur. Recent research suggests that it is not the threat bias per se that is problematic. Rather, individual differences in the ability to voluntarily control attention may affect the impact of threatening information hence increasing or decreasing the anxiety symptoms. A potential consequence may be that individuals with low ability to voluntarily control their attention have difficulties participating in exposure and/or do not progress in the exposure hierarchy, because the level of anxiety gets too high. This may subsequently lead to failure to learn that fear is not dangerous or even drop-out of CBT. Furthermore, a pronounced bias towards irrelevant negative information may take up so many resources that processing of important, relevant information is hampered, making it difficult to engage in goal-oriented behavior while experiencing anxiety.

Emotion regulation as predictor Novel theoretical frameworks emphasize that difficulties in emotion regulation are associated with the development and maintenance of anxiety disorders. Additionally, emotion regulation skills may be required to engage in and benefit from CBT. Furthermore, in an attempt to increase effectiveness, several newer treatments have included emotion regulation training in their treatments protocols.

The present study aims to examine attentional control and three facets of emotion regulation:

  1. awareness and understanding of emotions,
  2. acceptance of emotions, and
  3. the ability to engage in goal-directed behavior, and refrain from impulsive behavior, when experiencing negative emotions as general predictors of outcome in CBT for anxiety disorders in a naturalistic, community-based mental health setting.

Our secondary aim is to examine a theoretical variables (i.e., socio-demographic data and clinical characteristics, such as comorbidity) as predictors of CBT outcome, as these have yet to be examined as predictors in real-world clinical settings in a mixed anxious sample.

Investigators expect that low ability to control attention will be associated with poorer treatment outcome. Similarly, it is expected that high scores on emotion dysregulation will be related to poorer treatment outcome. Given the exploratory nature of this study we will also be interested in testing non-linear relationships.

Method In order to maximize external validity, investigators are conducting the study within two real-world treatment clinics and employing minimal exclusion criteria recruiting a sample with mixed principal anxiety disorders. Patients will be recruited from the two clinics.

연구 유형

관찰

등록 (실제)

120

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 장소

      • Copenhagen, 덴마크, 2200
        • University of Copenhagen

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

18년 (성인)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

샘플링 방법

비확률 샘플

연구 인구

Patients with anxiety disorders from outpatient clinics.

설명

Inclusion:

  1. meet the diagnostic criteria for an anxiety disorder (social anxiety, generalized anxiety, panic disorder and agoraphobia) as primary diagnosis whether first episode or recurrent
  2. are between 18 to 60 years of age
  3. provide written informed consent
  4. speak and understand Danish.

Exclusion:

  1. cognitive disabilities (assessed with sub scales from Wechsler Adult Intelligence Scale Fourth-Edition, < 70)
  2. alcohol or substance abuse (assessed during the preliminary consultations)
  3. receiving any other psychotherapy during the study. Patients receiving medical treatment (e.g., antidepressants, Benzodiazepines) will also be included in the study and the treatment will be monitored closely.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 관찰 모델: 케이스 전용
  • 시간 관점: 유망한

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Beck Anxiety Inventory
기간: 9 months
Self-report questionnaire to assess level of anxiety symptoms.
9 months

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

수사관

  • 수석 연구원: Sara KK Nielsen, MSc, Department of Psychology

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (실제)

2015년 8월 1일

기본 완료 (실제)

2017년 12월 1일

연구 완료 (실제)

2017년 12월 1일

연구 등록 날짜

최초 제출

2015년 12월 16일

QC 기준을 충족하는 최초 제출

2015년 12월 22일

처음 게시됨 (추정)

2015년 12월 23일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2018년 5월 1일

QC 기준을 충족하는 마지막 업데이트 제출

2018년 4월 30일

마지막으로 확인됨

2018년 4월 1일

추가 정보

이 연구와 관련된 용어

추가 관련 MeSH 약관

기타 연구 ID 번호

  • Precat

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