Development and Validation of a Comprehensive Genomics Knowledge Scale

被引:7
|
作者
Linderman, Michael D. [1 ]
Suckiel, Sabrina A. [2 ]
Thompson, Nathan [3 ]
Weiss, David J. [3 ,4 ]
Roberts, J. Scott [5 ]
Green, Robert C. [6 ,7 ,8 ,9 ]
机构
[1] Middlebury Coll, Dept Comp Sci, Middlebury, VT 05753 USA
[2] Icahn Sch Med Mt Sinai, Inst Genom Hlth, New York, NY 10029 USA
[3] Assessment Syst Corp, Minneapolis, MN USA
[4] Univ Minnesota, Dept Psychol, Minneapolis, MN USA
[5] Univ Michigan, Sch Publ Hlth, Dept Hlth Behav & Hlth Educ, Ann Arbor, MI 48109 USA
[6] Brigham & Womens Hosp, Dept Med, Div Genet, 75 Francis St, Boston, MA 02115 USA
[7] Harvard Med Sch, Boston, MA 02115 USA
[8] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA
[9] Ariadne Labs, Boston, MA USA
基金
美国国家卫生研究院;
关键词
Genomic sequencing; Genomic literacy; Knowledge measure; Informed decision-making; Computerized adaptive testing; OSTENSIBLY HEALTHY-INDIVIDUALS; DECISION; PACKAGE;
D O I
10.1159/000515006
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Background: Genomic testing is increasingly employed in clinical, research, educational, and commercial contexts. Genomic literacy is a prerequisite for the effective application of genomic testing, creating a corresponding need for validated tools to assess genomics knowledge. We sought to develop a reliable measure of genomics knowledge that incorporates modern genomic technologies and is informative for individuals with diverse backgrounds, including those with clinical/life sciences training. Methods: We developed the GKnowM Genomics Knowledge Scale to assess the knowledge needed to make an informed decision for genomic testing, appropriately apply genomic technologies and participate in civic decision-making. We administered the 30-item draft measure to a calibration cohort (n = 1,234) and subsequent participants to create a combined validation cohort (n = 2,405). We performed a multistage psychometric calibration and validation using classical test theory and item response theory (IRT) and conducted a post-hoc simulation study to evaluate the suitability of a computerized adaptive testing (CAT) implementation. Results: Based on exploratory factor analysis, we removed 4 of the 30 draft items. The resulting 26-item GKnowM measure has a single dominant factor. The scale internal consistency is alpha = 0.85, and the IRT 3-PL model demonstrated good overall and item fit. Validity is demonstrated with significant correlation (r = 0.61) with an existing genomics knowledge measure and significantly higher scores for individuals with adequate health literacy and healthcare providers (HCPs), including HCPs who work with genomic testing. The item bank is well suited to CAT, achieving high accuracy (r = 0.97 with the full measure) while administering a mean of 13.5 items. Conclusion: GKnowM is an updated, broadly relevant, rigorously validated 26-item measure for assessing genomics knowledge that we anticipate will be useful for assessing population genomic literacy and evaluating the effectiveness of genomics educational interventions.
引用
收藏
页码:291 / 303
页数:13
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