Table 4. Correlates of mHealth Use Among All Patients
Unadjusted ModelsMultivariate Model* (n = 879)
Patients (n)OR (95% CI)P ValueAdjusted OR (95% CI)P Value
Age (years)822
    18–24ReferenceReference
    25–341.00 (0.62–1.62).991.00 (0.61–1.62).99
    35–440.64 (0.39–1.05).080.66 (0.4–1.1).11
    45–540.31 (0.18–0.51)<.0010.32 (0.19–0.55)<.001
    55–640.14 (0.08–0.25)<.0010.16 (0.09–0.3)<.001
    ≥650.05 (0.02–0.12)<.0010.07 (0.03–0.16)<.001
Sex
    MaleReferenceReference
    Female8251.28 (0.92–1.79).141.15 (0.79–1.66).47
Race/ethnicity831
    WhiteReferenceReference
    Native American1.33 (0.50–3.52).571.16 (0.4–3.34).78
    Asian/Pacific Islander1.11 (0.52–2.37).790.72 (0.31–1.66).44
    African American0.93 (0.36–2.42).890.63 (0.23–1.74).37
    Latino2.29 (1.20–4.37).011.47 (0.73–2.93).28
    Other/multiracial1.30 (0.76–2.25).340.91 (0.5–1.64).75
Any health literacy limitation8101.00 (0.74–1.33).980.98 (0.7–1.36).89
Any chronic medical condition8700.60 (0.45–0.79)<.0010.91 (0.66–1.26).58
Depression7740.96 (0.71–1.29).780.95 (0.68–1.32).75
  • All models are adjusted for clustering within clinics.

  • * The multivariate model reports results from a single model that includes all of the independent variables in the table. Multiple imputation was used for missing variables in the multivariate model.

  • CI, confidence interval; OR, odds ratio.