1. Validation of the Rapid Estimate for Adolescent Literacy in Medicine Short Form (REALM-TeenS)
- Author
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Connie L. Arnold, Deena J. Chisolm, Terry C. Davis, Jennifer A. Manganello, Kimberly F. Colvin, and Jill Hancock
- Subjects
Male ,Pediatrics ,medicine.medical_specialty ,Adolescent ,020205 medical informatics ,media_common.quotation_subject ,education ,Health literacy ,02 engineering and technology ,Article ,Literacy ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Consistency (statistics) ,Surveys and Questionnaires ,Item response theory ,Statistics ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Humans ,030212 general & internal medicine ,Child ,media_common ,Independent study ,business.industry ,fungi ,food and beverages ,Reproducibility of Results ,Health Literacy ,Scale (social sciences) ,Pediatrics, Perinatology and Child Health ,behavior and behavior mechanisms ,Female ,business ,human activities ,Adolescent literacy ,Adolescent health - Abstract
BACKGROUND: This study was designed to develop and validate a brief adolescent health literacy assessment tool (Rapid Estimate of Adolescent Literacy in Medicine Short Form [REALM-TeenS]). METHODS: We combined datasets from 2 existing research studies that used the REALM-Teen (n = 665) and conducted an item response theory analysis. The correlation between scores on the original 66-item REALM-Teen and the proposed REALM-TeenS was calculated, along with the decision consistency across forms with respect to grade level assignment of each adolescent and coefficient α. The proposed REALM-TeenS was validated with original REALM-Teen data from a third independent study (n = 174). RESULTS: Items with the largest discriminations across the scale, from low to high health literacy, were selected for inclusion in REALM-TeenS. From those, a set of 10 items was selected that maintained a reasonable level of SE across ability estimates and correlated highly (r = 0.92) with the original REALM-Teen scores. The coefficient α for the 10-item REALM-TeenS was .82. There was no evidence of model misfit (root mean square error of approximation < 0.001). In the validation sample, REALM-TeenS scores correlated highly with scores on the original REALM-Teen (r = 0.92), and the decision consistency across both forms was 80%. In pilot testing, administration took ∼20 seconds. CONCLUSIONS: The REALM-TeenS offers researchers and clinicians a brief validated screening tool that can be used to assess adolescent health literacy in a variety of settings. Scoring guidelines ensure that reading level assessment is appropriate by age and grade.
- Published
- 2017
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