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. 2018 Mar 30;4:8. doi: 10.21037/mhealth.2018.03.04

Table 1. Psychometric properties of data collection instruments.

Construct Instrument Psychometric properties
Factors that influence health literacy and/or patient activation Investigator-created demographic form collecting: age, ethnicity, ace, income, education level, health status by the listing of current diagnoses Content validity, reviewed by experts and compared to the literature
Health literacy Single Item Health Literacy Screener (SILS) AUROC of 0.74 (95% CI: 0.69–0.79) based on the S-TOFHLA and 0.84 (95% CI: 0.79–0.89) based on the REALM. Construct validity by comparative testing with the S-TOFHLA and REALM
Patient activation Patient Activation Measure (PAM) Rasch (real) person scores ranged from 0.69–0.84, Rasch (model) person scores ranged from 0.72–0.8. Construct validity with variables that have been conceptually and empirically linked with the PAM (i.e., general prevention behaviors, disease specific behaviors); comparison of means meet thresholds (F=3.1–74.4, P=0.001)
Cognition Mini-Cog Alpha coefficient =0.92 (P<0.001). Construct validity (factor analysis and convergent) by comparison with independent physician assessment; Pearson correlation =0.65 (P<0.001)