Evidence map›Paper›PMID 16770706›Full record

ArticleJournal of genetic counseling2006

Exploring genetic counseling communication patterns: the role of teaching and counseling approaches.

Lee Ellington, Bonnie J Baty, Jamie McDonald, Vickie Venne, Adrian Musters, Debra Roter, William Dudley, Robert T Croyle

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Article in Journal of genetic counseling, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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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.

Lee EllingtonUniversity of Utah College of Nursing, 10 South 2000 East, Salt Lake City, Utah 84112, USA. lee.ellington@nurs.utah.edu
Bonnie J Baty
Jamie McDonald
Vickie Venne
Adrian Musters
Debra Roter
William Dudley
Robert T Croyle

Funding

Communication Analysis of BRCA1 Genetic CounselingR03HG002359 · NHGRI · UNIVERSITY OF UTAH · PI ELLINGTON, LEE A · 2001 to 2002
$150k
NHGRI NIH HHS R03HG002359
6 · The paper itself

Abstract

The educational and counseling models are often touted as the two primary professional approaches to genetic counseling practice. Yet, research has not been conducted to examine how these approaches are used in practice. In the present study, we conducted quantitative communication analyses of BRCA1 genetic counseling sessions. We measured communication variables that represent content (e.g., a biomedical focus) and process (e.g., passive listening) to explore whether genetic counselor approaches are consistent with prevailing professional models. The Roter Interaction Analysis System (RIAS) was used to code 167 pre-test genetic counseling sessions of members of a large kindred with an identified BRCA1 mutation. Three experienced genetic counselors conducted the sessions. Creating composite categories from the RIAS codes, we found the sessions to be largely educational in nature with the counselors and clients devoting the majority of their dialogue to providing biomedical information (62 and 40%, respectively). We used cluster analytic techniques, entering the composite communication variables and identified four patterns of session communication: Client-focused psychosocial, biomedical question and answer, counselor-driven psychosocial, and client-focused biomedical. Moreover, we found that the counselors had unique styles in which they combined the use of education and counseling approaches. We discuss the importance of understanding the variation in counselor communication to advance the field and expand prevailing assumptions.

Indexed as

Patient Education as TopicProfessional-Patient RelationsAdultBreast NeoplasmsCommunicationCounselingFemaleGenes, BRCA1Genetic CounselingHumansMutationOvarian NeoplasmsUtah

Identifiers

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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.