Table 2.
Customized Care effects on outcomes.
| Outcome/Measure | Intervention M (SE) or% | Care as Usual M (SE) or% | Modela | ||
|---|---|---|---|---|---|
|
| |||||
| exp B (95% CI)b | Wald(df) | p | |||
| Discussion of primed stressors (Patient Everyday Dilemmas codes) | 85.7 | 48.1 | Logistic regression | ||
| 6.16 (1.53, 24.81) | 6.54 (1) | 0.011 | |||
| Confidence to disclose stressors | 24.7 (0.11) | 23.2 (0.58) | Gamma regression | ||
| 1.06 (1.01, 1.12) | 4.82 (1) | 0.028 | |||
| Disclosure promptness (first text line coded for primed stressors)c | 188.0 (36.5) | 341.2 (62.8) | Gamma regression | ||
| 0.55 (0.29, 1.02) | 3.56 (1) | 0.059 | |||
Abbreviations: M, mean; SE, standard error; exp B, exponentiated coefficient; CI, confidence interval; Wald, Wald chi square test; df, degrees of freedom.
a
‘Outcome’ as dependent variable, care as usual is reference group, gender included as covariate. Gamma regression is Generalized Linear Model with gamma distribution and log link.
b
The exp B for logistic regression is the odds ratio, exp B for gamma regression is the ratio of the intervention ‘outcome’ over care as usual ‘outcome.’ Values over 1 indicate intervention group is higher on outcome than control group, values below 1 indicate intervention group is lower on outcome than control group.
c
Conditional on presence of primed code.