Evidence map›Paper›PMID 26553147›Full record

ArticlePsychiatry research2015

Creation and validation of the Cognitive and Behavioral Response to Stress Scale in a depression trial.

Adam S Miner, Stephen M Schueller, Emily G Lattie, David C Mohr

Registry-linked trialAbstract readValidation Study
In one paragraph

Article in Psychiatry research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04226742 (Evaluation of the Crowd-Powered Web Platform for Accumulative Depression and Anxiety Plans and Treatment), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04226742 nacompletednot on this mapstarted 2021, after this paper: background citation

Evaluation of the Crowd-Powered Web Platform for Accumulative Depression and Anxiety Plans and Treatment (ADAPT)

TypeinterventionalSponsorUniversity of California, IrvineRan2021 to 2022Enrolled107ConditionsDepression, AnxietyArmsADAPT Platform (Treatment), ADAPT Comparison (Control)
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Implications of response shift for micro-, meso-, and macro-level healthcare decision-making using results of patient-reported outcome measures.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Development and Evaluation of an Online Mental Health Program for Medical Students.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adam S MinerClinical Excellence Research Center, Stanford University, Palo Alto, CA, USA.
Stephen M SchuellerDepartment of Preventive Medicine and Center for Behavioral Intervention Technologies, Northwestern University, Feinberg School of Medicine, 750 N Lakeshore Dr., 10th Floor, Chicago, IL 60611, USA.
Emily G LattieDepartment of Preventive Medicine and Center for Behavioral Intervention Technologies, Northwestern University, Feinberg School of Medicine, 750 N Lakeshore Dr., 10th Floor, Chicago, IL 60611, USA.
David C MohrDepartment of Preventive Medicine and Center for Behavioral Intervention Technologies, Northwestern University, Feinberg School of Medicine, 750 N Lakeshore Dr., 10th Floor, Chicago, IL 60611, USA. Electronic address: d-mohr@northwestern.edu.

Funding

Telephone Versus Face-to-Face Administration of CBT for DepressionR01MH059708 · NIMH · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI MOHR, DAVID CURTIS · 2000 to 2011
$7.2M
Technology Assisted intervention for the Treatment and Prevention of DepressionP20MH090318 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MOHR, DAVID CURTIS · 2011 to 2015
$4.7M
Stepped Telemental Health Care Intervention for DepressionR01MH095753 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MOHR, DAVID CURTIS · 2012 to 2016
$3.4M
Connecting Patients and Therapists Using a Tech-Based Treatment Support SystemK08MH102336 · NIMH · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SCHUELLER, STEPHEN · 2014 to 2017
$678k
NIMH NIH HHS K08 MH102336NIMH NIH HHS P20 MH090318NIMH NIH HHS R01 MH059708NIMH NIH HHS R01MH059708NIMH NIH HHS R01 MH095753
6 · The paper itself

Abstract

The Cognitive and Behavioral Response to Stress Scale (CB-RSS) is a self-report measure of the use and helpfulness of several cognitive and behavioral skills. Unlike other measures that focus on language specific to terms used in therapy, the CB-RSS was intended to tap the strategies in ways that might be understandable to those who had not undergone therapy. The measure was included in a clinical trial of cognitive-behavioral therapy for depression and completed by 325 participants at baseline and end of treatment (18 weeks). Psychometric properties of the scale were assessed through iterative exploratory and confirmatory factor analyses. These analyses identified two subscales, cognitive and behavioral skills, each with high reliability. Validity was addressed by investigating relationships with depression symptoms, positive affect, perceived stress, and coping self-efficacy. End of treatment scores predicted changes in all outcomes, with the largest relationships between baseline CB-RSS scales and coping self-efficacy. These findings suggest that the CB-RSS is a useful tool to measure cognitive and behavioral skills both at baseline (prior to treatment) as well as during the course of treatment.

Indexed as

Adaptation, PsychologicalAdultBehavior Rating ScaleCognitionCognitive Behavioral TherapyDepressionFactor Analysis, StatisticalFemaleHumansLanguageMaleMiddle AgedPsychometricsReproducibility of ResultsSelf EfficacyStress, PsychologicalDevelopmentTelehealthValidation

Identifiers

PMID26553147
PMCPMC4681670

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.