Evidence map›Paper›PMID 28504538›Full record

ArticlePsychological assessment2018

Self-efficacy for coping with cancer: Revision of the Cancer Behavior Inventory (Version 3.0).

Thomas V Merluzzi, Errol J Philip, Carolyn A Heitzmann Ruhf, Haiyan Liu, Miao Yang, Claire C Conley

Abstract read
In one paragraph

Article in Psychological assessment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. A Technology-Based Educational Intervention and Multiple Domains of Symptom Experience: Asian American Breast Cancer Survivors.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Trial
  4. Trial
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  6. Five Dimensions of Needs for Help: The Efficacy of a Technology-Based Intervention Among Asian American Breast Cancer Survivors.Journal of cancer education : the official journal of the American Association for Cancer Education · 2024
    Trial
  7. Psychoeducational group intervention for breast cancer survivors: a non-randomized multi-center pilot study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020
    Trial
  8. A machine learning approach to profiling anxiety risk among cancer patients on treatment.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  9. Financial toxicity among breast cancer survivors receiving care during the pandemic.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  10. Article
  11. Development and Evaluation of the Firefighter Exposure to Carcinogens Scale.Journal of occupational and environmental medicine · 2025
    Article
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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

6 authors.

Thomas V MerluzziDepartment of Psychology, University of Notre Dame.
Errol J PhilipDepartment of Psychology, University of Notre Dame.
Carolyn A Heitzmann RuhfUniversity Counseling Service, University of Southern California.
Haiyan LiuDepartment of Psychology, University of Notre Dame.
Miao YangDepartment of Psychology, University of Notre Dame.
Claire C ConleyDepartment of Psychology, The Ohio State University.ORCID 0000-0001-7695-2428

Funding

Cultural Analysis of the Cancer Behavior InventoryR21CA094914 · NCI · UNIVERSITY OF NOTRE DAME · PI MERLUZZI, THOMAS V · 2005 to 2006
$319k
NCI NIH HHS R21 CA094914
6 · The paper itself

Abstract

Based on self-regulation and self-efficacy theories, the Cancer Behavior Inventory (CBI; Heitzmann et al., 2011; Merluzzi & Martinez Sanchez, 1997; Merluzzi, Nairn, Hegde, Martinez Sanchez, & Dunn, 2001) was developed as a measure of self-efficacy strategies for coping with cancer. In the latest revision, CBI-V3.0, a number of psychometric and empirical advances were made: (a) the reading level was reduced to 6th-grade level; (b) individual interviews and focus groups were used to revise items; (c) a new spiritual coping subscale was added; (d) data were collected from 4 samples (total N = 1,405) to conduct an exploratory factor analysis with targeted rotation, 2 confirmatory factor analyses, and differential item functioning; (e) item trimming was used to reduce the total number to 27; (f) internal consistency and test-retest reliability were computed; and (g) extensive validity testing was conducted. The results, which build upon the strengths of prior versions, confirm a structurally and psychometrically sound and unbiased measure of self-efficacy strategies for coping with cancer with a reduced number of items for ease of administration. The factors include Maintaining Activity and Independence, Seeking and Understanding Medical Information, Emotion Regulation, Coping With Treatment Related Side Effects, Accepting Cancer/Maintaining a Positive Attitude, Seeking Social Support, and Using Spiritual Coping. Internal consistency (α = .946), test-retest reliability (r = .890; 4 months), and validity coefficients with a variety of relevant measures indicated strong psychometric properties. The new 27-item CBI-V3.0 has both research utility and clinical utility as a screening and treatment-planning measure of self-efficacy strategies for coping with cancer. (PsycINFO Database Record

Indexed as

Adaptation, PsychologicalAttitude to HealthSelf EfficacyAdultAgedAged, 80 and overEmotionsFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedNeoplasmsPsychometricsQuality of LifeReproducibility of Results

Identifiers

PMID28504538
PMCPMC5685945

What OpenQuestion holds

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Registered trials

None linked

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.