Development and Validation of a Short-Form, Rapid Estimate of Adult Literacy in Medicine

Dados Bibliográficos

ID9102917
AutoresAhsan M Arozullah (0000-0002-7433-6610, Jesse Brown VA Medical Center, autor correspondente), Paul R Yarnold (0000-0002-1648-739X, Northwestern University), Charles L Bennett (0000-0002-8645-5705, Jesse Brown VA Medical Center, autor correspondente), Robert C Soltysik (0000-0002-1342-502X, Jesse Brown VA Medical Center, autor correspondente), Michael S Wolf (0000-0002-4342-6517, Northwestern University), Rosario M Ferreira (Jesse Brown VA Medical Center, autor correspondente), Shoou-Yih D Lee (0000-0002-0209-3234), S Costello (0009-0008-9871-6491, Jesse Brown VA Medical Center, autor correspondente), Adil Shakir (Jesse Brown VA Medical Center, autor correspondente), Caroline Denwood (Jesse Brown VA Medical Center, autor correspondente), Fred B Bryant (0000-0002-9751-6542, Loyola University Chicago), Terry C Davis (0000-0002-5013-6120, Louisiana State University Health Sciences Center Shreveport), Terry Davis
Ano2007
Volume45
Fascículo11
Páginas1026-1033
Data de publicação2007-11-01
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0b013e3180616c1b
PMID18049342
OpenAlexW2077796847
IdiomaEN
Citações recebidas36
Referências citadas27

BACKGROUND: Although prior studies used the 66-item Rapid Estimate of Adult Literacy in Medicine (REALM instrument) for literacy assessment, researchers may require a shorter, validated instrument when designing interventions for clinical contexts. OBJECTIVE: To develop and validate a very brief literacy assessment tool, the REALM-Short Form (REALM-SF). PATIENTS: The model development, validation, and field testing validation samples included 1336, 164, and 50 patients, respectively. SETTING: General medicine and subspecialty clinics and medicine inpatient wards. DESIGN: For development and validation samples, indicator variables for REALM instrument items were evaluated as potential predictors of REALM instrument score by stepwise multiple regression analysis with subsequent bootstrap and confirmatory factor analysis of selected items. Pearson correlations compared REALM-SF and REALM instrument scores and kappa analyses compared grade level assignments. For the field testing validation sample, Pearson correlations compared Wide Range Achievement Test and REALM-SF scores. RESULTS: The REALM-SF included 7 items with stable model coefficients and 1 underlying linear factor. REALM-SF and REALM instrument scores were highly correlated in development (r = 0.95, P < 0.001) and validation (r = 0.94, P < 0.001) samples. There was excellent agreement between REALM-SF and REALM instrument grade-level assignments when dichotomized at the 6th grade (development: 97% agreement, K = 0.88, P < 0.001; validation: 88% agreement, K = 0.75, P < 0.001) and 8th grade levels (development: 94% agreement, K = 0.78, P < 0.001; validation: 84% agreement, K = 0.67, P < 0.001). REALM-SF and Wide Range Achievement Test scores were highly correlated (r = 0.83, P < 0.001) in field testing validation. CONCLUSIONS: The REALM-SF provides researchers a brief, validated instrument for assessing patient literacy in diverse research settings

Confirmatory factor analysis · Literacy · Realm · Statistics · Structural equation modeling · Test (biology) · Health Literacy and Information Accessibility · Innovations in Medical Education · Mathematics · Medicine · Patient-Provider Communication in Healthcare · Psychology