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Measuring genetic knowledge: a brief survey instrument for adolescents and adults.
Fitzgerald-Butt, S M; Bodine, A; Fry, K M; Ash, J; Zaidi, A N; Garg, V; Gerhardt, C A; McBride, K L.
Afiliação
  • Fitzgerald-Butt SM; Center for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
  • Bodine A; Heart Center, Nationwide Children's Hospital, Columbus, OH, USA.
  • Fry KM; Department of Pediatrics, College of Medicine, Columbus, OH, USA.
  • Ash J; Department of Psychology, Columbus, OH, USA.
  • Zaidi AN; Center for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
  • Garg V; College of Medicine, The Ohio State University, Columbus, OH, USA.
  • Gerhardt CA; The Columbus Ohio Adult Congenital Heart Disease (COACH) Program, Heart Center, Nationwide Children's Hospital, The Ohio State University, Columbus, OH, USA.
  • McBride KL; Center for Cardiovascular and Pulmonary Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH, USA.
Clin Genet ; 89(2): 235-43, 2016 Feb.
Article em En | MEDLINE | ID: mdl-26032340
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Psicometria / Inquéritos e Questionários / Conhecimento / Genética Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Psicometria / Inquéritos e Questionários / Conhecimento / Genética Tipo de estudo: Prognostic_studies Limite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2016 Tipo de documento: Article