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

Autor: Fitzgerald-Butt SM; Center for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.; Heart Center, Nationwide Children's Hospital, Columbus, OH, USA.; Department of Pediatrics, College of Medicine, Columbus, OH, USA., Bodine A; Department of Psychology, Columbus, OH, USA., Fry KM; Center for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA., Ash J; College of Medicine, The Ohio State University, Columbus, OH, USA., Zaidi AN; The Columbus Ohio Adult Congenital Heart Disease (COACH) Program, Heart Center, Nationwide Children's Hospital, The Ohio State University, Columbus, OH, USA., Garg V; Center for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.; Heart Center, Nationwide Children's Hospital, Columbus, OH, USA.; Department of Pediatrics, College of Medicine, Columbus, OH, USA., Gerhardt CA; Department of Pediatrics, College of Medicine, Columbus, OH, USA.; Center for Biobehavioral Health, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA., McBride KL; Center for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.; Department of Pediatrics, College of Medicine, Columbus, OH, USA.
Jazyk: angličtina
Zdroj: Clinical genetics [Clin Genet] 2016 Feb; Vol. 89 (2), pp. 235-43. Date of Electronic Publication: 2015 Jun 29.
DOI: 10.1111/cge.12618
Abstrakt: 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.
(© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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