Evidence map›Paper›PMID 34574919›Full record

ArticleHealthcare (Basel, Switzerland)2021

Cross-Cultural Adaptation and Validation of a French Version of the Genetic Counseling Satisfaction Scale (GCSS) as an Outcome Measure of Genetic Counseling for Hereditary Breast and Ovarian Cancer.

Célia Villafane-Bernier, Julie Lapointe, Camille Raîche, Sophie Lauzier, Jocelyne Chiquette, Karine Bouchard, Sylvie Pelletier, Arian Omeranovic, Josée Rhéaume, Claire Brousseau and 3 more

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

13 authors at 3 institutions in 1 country.

Célia Villafane-BernierAxe Oncologie, Centre de Recherche du CHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1R 3S3, Canada.
Julie LapointeAxe Oncologie, Centre de Recherche du CHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1R 3S3, Canada.
Camille RaîcheAxe Oncologie, Centre de Recherche du CHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1R 3S3, Canada.
Sophie LauzierAxe Oncologie, Centre de Recherche du CHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1R 3S3, Canada.
Jocelyne ChiquetteAxe Oncologie, Centre de Recherche du CHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1R 3S3, Canada.
Karine BouchardAxe Oncologie, Centre de Recherche du CHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1R 3S3, Canada.
Sylvie PelletierAxe Oncologie, Centre de Recherche du CHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1R 3S3, Canada.
Arian OmeranovicAxe Oncologie, Centre de Recherche du CHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1R 3S3, Canada.
Josée RhéaumeCHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1S 4L8, Canada.
Claire BrousseauCHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1S 4L8, Canada.
Johanne HébertCentre de Recherche CISSS Chaudière-Appalaches, 143 Rue Wolfe, Lévis, QC G6V 3Z1, Canada.ORCID 0000-0003-4023-9246
Michel DorvalAxe Oncologie, Centre de Recherche du CHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1R 3S3, Canada.ORCID 0000-0002-3207-8211
Hermann NabiAxe Oncologie, Centre de Recherche du CHU, Québec-Université Laval, 1050 Chemin Ste-Foy, Québec, QC G1R 3S3, Canada.
Université Laval · CACentre intégré de santé et de services sociaux de Chaudière-Appalaches · CAUniversité du Québec à Rimouski · CA

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Chaire de recherche en soins palliatifs of Université Laval and the Équipe de Recherche Michel-Sarrazin en Oncologie psychosociale et Soins palliatifs (ERMOS) No grant number.NCATS NIH HHS UL1 TR002535
6 · The paper itself

Abstract

(1) Background: The Genetic Counseling Satisfaction Scale (GCSS) is a widely used tool to evaluate patient satisfaction. To our knowledge, a validated French-language version of this tool is not yet available. This article reports on the cross-cultural adaptation and validation of a French version of the Genetic Counseling Satisfaction Scale (GCSS) to evaluate genetic counseling services for patient consultation in hereditary breast and ovarian cancer (HBOC). (2) Methods: The scale was culturally adapted following guidelines from Beaton et al. (2000). Cognitive interviews were conducted to ensure items were understood according to the intended meaning. The internal consistency, floor and ceiling effects, and testing of group differences were assessed using a sample of 172 patients who attended a pretest group genetic counseling session. (3) Results: Participants understood all items according to the intended meaning. The internal consistency was high for the total scale (0.90) and for the corrected item-to-total correlations (varying between 0.62 and 0.78). No floor or ceiling effects were observed. Group difference analyses generally followed expectations. (4) Conclusion: This process generated a French version of the GCSS that is clearly understood by patients, and has psychometric properties adequately in line those reported for its original English version.

Indexed as

cognitive interviewcross-cultural adaptationFrenchgenetic counselinghereditary breast and ovarian cancer (HBOC)reliabilitysatisfaction measurevalidation study

Identifiers

PMID34574919
PMCPMC8465088
OpenAlexW3197033544

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.