Evidence map›Paper›PMID 38872981›Full record

ArticlePEC innovation2024

Online communication skill training of patients with cancer: A test of the behavioral intention predictive framework for communication skills.

Debra L Roter, Marielle Bugayong, Chenery Lowe, Robert L Joyner, Anna-Maria Howard, Jennifer Wenzel, Adrian S Dobs

Abstract read
In one paragraph

Article in PEC innovation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Debra L RoterDepartment of Health, Behavior and Society, Johns Hopkins School of Public Health, Baltimore, USA.
Marielle BugayongDepartment of Health, Behavior and Society, Johns Hopkins School of Public Health, Baltimore, USA.
Chenery LoweStanford Center for Biomedical Ethics, Stanford, USA.
Robert L JoynerRichard A. Henson Research Institute, Salisbury, USA.
Anna-Maria HowardAledade, Bethesda, USA.
Jennifer WenzelJohns Hopkins School of Nursing, Baltimore, USA.
Adrian S DobsDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the Behavioral Intention Predictive Framework's utility in explaining variation in cancer patients' strong behavioral intention (SBI) to use LEAPS (Listen, Educate, Assess, Partner, Support) communication skills after viewing training videos. Methods: Ninety-eight patients were enrolled through anonymized online platforms to view LEAPS training videos, complete background and communication questionnaires and report their SBI to use LEAPS skills. Results: On average, patients indicated SBI to use 6 of 13 skills and 46% of patients expressed SBI across individual skills. The framework explained 27.7% of the adjusted variance in SBI with significant predictors of frequent past use of LEAPS-related shared decision-making behaviors, poor emotional health, being rarely accompanied to visits and positive ratings of narrative videos. Finally, 21.7% of the adjusted variance in problem communication was explained by infrequent use of LEAPS-related information behaviors, patient accompaniment of another adult and positive narrative scores. Conclusion: Patients SBI to use multiple LEAPS skills and past problem communication were explained by framework predictors. Innovation: Despite theoretical and empirical evidence that behavioral intention significantly predicts behavior, it has not been studied in patient communication research. Application of the novel framework to LEAPS training videos contributes an innovative address of this research gap.

Indexed as

Behavioral intentionCancer communicationCommunication skills trainingPatient education

Identifiers

PMID38872981
PMCPMC11169459

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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.