Evidence map›Paper›PMID 39578657›Full record

ArticlePsycho-oncology2024

Measuring Self-Efficacy to Request Cancer-Related Work Accommodations: Development and Validation of a Brief Survey Instrument.

Victoria Blinder, Jada G Hamilton, Carolyn Eberle, Jackie Finik, Bharat Narang, Rose C Maly, Francesca Gany, Sujata Patil

Abstract readValidation Study
In one paragraph

Article in Psycho-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. 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

8 authors.

Victoria BlinderDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Jada G HamiltonDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA.ORCID 0000-0001-8377-4666
Carolyn EberleDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Jackie FinikDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Bharat NarangDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Rose C MalyDavid Geffen School Medicine at University of California Los Angeles, Los Angeles, California, USA.
Francesca GanyDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Sujata PatilDepartment of Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0003-1706-5321

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Training and Career Development CoreU54CA132378 · NCI · CITY COLLEGE OF NEW YORK · PI Tim Alan Ahles, ADRIANA ESPINOSA · 2008 to 2026
$28.9M
Training and Career Development and Education CoreU54CA137788 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Daniel Alan Heller · 2008 to 2026
$28.1M
The Breast Cancer and the Workforce Communication App: A randomized controlled trial of an English/Spanish intervention to promote long-term job retentionR37CA214785 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI BLINDER, VICTORIA S · 2018 to 2024
$4.3M
American Cancer Society MRSGT-11-002-01-CPHPSAmerican Society of Clinical OncologyCancer Center Support Grant to Memorial Sloan Kettering Cancer Center P30 CA 008748Chanel Endowment for Survivorship Research at Memorial Sloan Kettering Cancer CenterNCI NIH HHS P30 CA008748NCI NIH HHS R01 CA214785NCI NIH HHS R37 CA214785NCI NIH HHS U54 CA132378NCI NIH HHS U54 CA137788NIMHD NIH HHS L60 MD003904
6 · The paper itself

Abstract

objectiveAccess to work accommodations, such as time off to attend medical appointments, is a key predictor of cancer-related job loss. We aimed to develop and validate a measure of self-efficacy to request and obtain work accommodations related to diagnosis of breast cancer and need for treatment.

methodsThe 5-item Self-efficacy to Ask for Work Accommodations (SAWA) tool was adapted from a scale that measures self-efficacy in patient-physician interactions. English-speaking, employed women, aged 18-64, who were undergoing treatment for stage I-III breast cancer completed surveys during treatment (chemotherapy, radiation, and/or < 60 days since surgery) and 4 months after its completion. Post-treatment surveys were the primary validation dataset; analyses were repeated using baseline data to further evaluate validity/reliability. Psychometric analyses included internal consistency, principal component factor analysis, convergent and divergent validity, and test-retest reliability (in a subset of patients, 2 weeks after post-treatment surveys).

resultsAmong 362 participants, the SAWA measure had a Cronbach's alpha of 0.93, indicating high scale reliability. Factor analysis revealed one summary measure which could be divided into two subscales. Overall, the SAWA demonstrated convergent and divergent validity based on the hypothesized variables. Similar patterns were observed when analyses were repeated using baseline survey data. In the test-retest subset, the Pearson correlation between SAWA assessed 4 months post-treatment versus retest 2 weeks later was 0.79.

conclusionsThe SAWA is a validated survey instrument that can be used to measure self-efficacy in employed cancer patients to ask for and obtain employment accommodations.

Indexed as

Breast NeoplasmsPsychometricsSelf EfficacyAdolescentAdultFactor Analysis, StatisticalFemaleHumansMiddle AgedReproducibility of ResultsSurveys and QuestionnairesYoung Adultbreast neoplasmscanceremploymentfactor analysisoncologypsychometricspsycho‐oncologyself‐efficacysurveys and questionnaires

Identifiers

PMID39578657
PMCPMC11730020

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Registered trials

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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.