Literature DB >> 34153821

Theory utilization in current communication of cancer genetic testing research: Identified gaps and opportunities.

Daniel Chavez-Yenter1, Jingsong Zhao2, Chelsea L Ratcliff3, Kelsey Kehoe4, Allison Blumling5, Emily Peterson6, William M P Klein7, Wen-Ying Sylvia Chou8, Kimberly A Kaphingst9.   

Abstract

BACKGROUND: Effective communication of cancer-related genetic and genomic testing (CGT) with patients and the public is paramount to transforming and managing cancer prevention, detection, and care. Behavioral and social science theories could improve communication effectiveness and, in turn, health outcomes.
METHODS: In this study, we characterized the use of theory in recent research on communication about CGT from 2010 to 2017.
RESULTS: Of 513 empirical papers focusing on communication about CGT, only 119 (23%) utilized any theory in the study design. Behavior change and health psychology/cognitive representation theories (24.2% and 21.9%, respectively) were the most commonly used with minimal use of communication theories (3%). Theories were primarily used to guide hypotheses or research question development (73.9%), and for selecting measures or codes (68.9%). Approximately half of the papers (48.3%) related their study findings to the referenced theory. Fewer papers (14.3%) discussed implications of the findings for the theory.
CONCLUSIONS: While theories are being utilized to inform study design, few discuss their results in the context of theoretical implications and thus decrease potential generalizability. Greater use of theory could help scholars to identify and develop theories suited to this clinical context and inform our understanding of related communication processes more broadly.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  Behavior change; Cancer genetic testing; Communication; Health psychology; Scoping review; Theory

Mesh:

Year:  2021        PMID: 34153821      PMCID: PMC8723834          DOI: 10.1016/j.socscimed.2021.114144

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   5.379


  16 in total

1.  Communication skills training: describing a new conceptual model.

Authors:  Richard F Brown; Carma L Bylund
Journal:  Acad Med       Date:  2008-01       Impact factor: 6.893

2.  Are interventions theory-based? Development of a theory coding scheme.

Authors:  Susan Michie; Andrew Prestwich
Journal:  Health Psychol       Date:  2010-01       Impact factor: 4.267

3.  Use of Health Behavior Theory in Funded Grant Proposals: Cancer Screening Interventions as a Case Study.

Authors:  Sarah Kobrin; Rebecca Ferrer; Helen Meissner; Jasmin Tiro; Kara Hall; Dikla Shmueli-Blumberg; Alex Rothman
Journal:  Ann Behav Med       Date:  2015-12

4.  Efficacy of theory-based interventions to promote physical activity. A meta-analysis of randomised controlled trials.

Authors:  M Gourlan; P Bernard; C Bortolon; A J Romain; O Lareyre; M Carayol; G Ninot; J Boiché
Journal:  Health Psychol Rev       Date:  2015-04-10

Review 5.  Communication of cancer-related genetic and genomic information: A landscape analysis of reviews.

Authors:  Emily B Peterson; Wen-Ying Sylvia Chou; Anna Gaysynsky; Melinda Krakow; Ashley Elrick; Muin J Khoury; Kimberly A Kaphingst
Journal:  Transl Behav Med       Date:  2018-01-29       Impact factor: 3.046

Review 6.  Addressing the theory crisis in psychology.

Authors:  Klaus Oberauer; Stephan Lewandowsky
Journal:  Psychon Bull Rev       Date:  2019-10

7.  Theory development and its relevance for nursing.

Authors:  S L Craig
Journal:  J Adv Nurs       Date:  1980-07       Impact factor: 3.187

Review 8.  Using the internet to promote health behavior change: a systematic review and meta-analysis of the impact of theoretical basis, use of behavior change techniques, and mode of delivery on efficacy.

Authors:  Thomas L Webb; Judith Joseph; Lucy Yardley; Susan Michie
Journal:  J Med Internet Res       Date:  2010-02-17       Impact factor: 5.428

9.  Transforming Cancer Prevention through Precision Medicine and Immune-oncology.

Authors:  Thomas W Kensler; Avrum Spira; Judy E Garber; Eva Szabo; J Jack Lee; Zigang Dong; Andrew J Dannenberg; William N Hait; Elizabeth Blackburn; Nancy E Davidson; Margaret Foti; Scott M Lippman
Journal:  Cancer Prev Res (Phila)       Date:  2016-01

10.  A taxonomy of medical uncertainties in clinical genome sequencing.

Authors:  Paul K J Han; Kendall L Umstead; Barbara A Bernhardt; Robert C Green; Steven Joffe; Barbara Koenig; Ian Krantz; Leo B Waterston; Leslie G Biesecker; Barbara B Biesecker
Journal:  Genet Med       Date:  2017-01-19       Impact factor: 8.822

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