eHealth literacy in chronic disease patients: An item response theory analysis of the eHealth literacy scale (eHEALS).

Abstract:

BACKGROUND:Chronic disease patients are affected by low computer and health literacy, which negatively affects their ability to benefit from access to online health information. OBJECTIVE:To estimate reliability and confirm model specifications for eHealth Literacy Scale (eHEALS) scores among chronic disease patients using Classical Test (CTT) and Item Response Theory techniques. METHODS:A stratified sample of Black/African American (N=341) and Caucasian (N=343) adults with chronic disease completed an online survey including the eHEALS. Item discrimination was explored using bi-variate correlations and Cronbach's alpha for internal consistency. A categorical confirmatory factor analysis tested a one-factor structure of eHEALS scores. Item characteristic curves, in-fit/outfit statistics, omega coefficient, and item reliability and separation estimates were computed. RESULTS:A 1-factor structure of eHEALS was confirmed by statistically significant standardized item loadings, acceptable model fit indices (CFI/TLI>0.90), and 70% variance explained by the model. Item response categories increased with higher theta levels, and there was evidence of acceptable reliability (ω=0.94; item reliability=89; item separation=8.54). CONCLUSION:eHEALS scores are a valid and reliable measure of self-reported eHealth literacy among Internet-using chronic disease patients. PRACTICE IMPLICATIONS:Providers can use eHEALS to help identify patients' eHealth literacy skills.

journal_name

Patient Educ Couns

authors

Paige SR,Krieger JL,Stellefson M,Alber JM

doi

10.1016/j.pec.2016.09.008

subject

Has Abstract

pub_date

2017-02-01 00:00:00

pages

320-326

issue

2

eissn

0738-3991

issn

1873-5134

pii

S0738-3991(16)30418-9

journal_volume

100

pub_type

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