Evidence map›Paper›PMID 26032340›Full record

ArticleClinical genetics2016

Measuring genetic knowledge: a brief survey instrument for adolescents and adults.

S M Fitzgerald-Butt, A Bodine, K M Fry, J Ash, A N Zaidi, V Garg, C A Gerhardt, K L McBride

Abstract read
In one paragraph

Article in Clinical genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 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.

S M Fitzgerald-ButtCenter for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.ORCID http://orcid.org/0000-0003-2316-2486
A BodineDepartment of Psychology, Columbus, OH, USA.
K M FryCenter for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
J AshCollege of Medicine, The Ohio State University, Columbus, OH, USA.
A N ZaidiThe Columbus Ohio Adult Congenital Heart Disease (COACH) Program, Heart Center, Nationwide Children's Hospital, The Ohio State University, Columbus, OH, USA.
V GargCenter for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
C A GerhardtDepartment of Pediatrics, College of Medicine, Columbus, OH, USA.
K L McBrideCenter for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.

Funding

The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
Genome Wide Association Study for Hypoplastic Left Heart and Related DefectsR01HL090506 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BELMONT, JOHN WILLIAM · 2008 to 2011
$3.0M
Exome sequencing and functional studies in familial CHDR01HL109758 · NHLBI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI GARG, VIDU, MCBRIDE, KIM LEWIS · 2012 to 2015
$2.7M
NCATS NIH HHS UL1 TR001070NCATS NIH HHS UL1TR001070NHLBI NIH HHS R01 HL090506NHLBI NIH HHS R01HL090506NHLBI NIH HHS R01 HL109758NHLBI NIH HHS R01HL109758
6 · The paper itself

Abstract

Basic knowledge of genetics is essential for understanding genetic testing and counseling. The lack of a written, English language, validated, published measure has limited our ability to evaluate genetic knowledge of patients and families. Here, we begin the psychometric analysis of a true/false genetic knowledge measure. The 18-item measure was completed by parents of children with congenital heart defects (CHD) (n = 465) and adolescents and young adults with CHD (age: 15-25, n = 196) with a mean total correct score of 12.6 [standard deviation (SD) = 3.5, range: 0-18]. Utilizing exploratory factor analysis, we determined that one to three correlated factors, or abilities, were captured by our measure. Through confirmatory factor analysis, we determined that the two factor model was the best fit. Although it was necessary to remove two items, the remaining items exhibited adequate psychometric properties in a multidimensional item response theory analysis. Scores for each factor were computed, and a sum-score conversion table was derived. We conclude that this genetic knowledge measure discriminates best at low knowledge levels and is therefore well suited to determine a minimum adequate amount of genetic knowledge. However, further reliability testing and validation in diverse research and clinical settings is needed.

Indexed as

GeneticsKnowledgePsychometricsSurveys and QuestionnairesAdolescentAdultCalibrationDemographyFactor Analysis, StatisticalFemaleHumansMaleMiddle Agedfactor analysis, statisticalgenetic testinghealth knowledge, attitudes, and practiceheart defects, congenitalpsychometrics

Identifiers

PMID26032340
PMCPMC5215811

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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.