Table 2.
Final multiple logistic regression models for aims 1 and 2.
Variablea | Adjusted odds ratio (95% CI) | ||
|
Aim 1 final modelb | Aim 2 final modelc | |
Step 1: control variables | |||
|
Multimorbidity | 0.87 (0.7-1.1) | 0.93 (0.74-1.2) |
|
Age (years) | 1.03 (0.99-1.1) | 1.03 (0.99-1.1) |
|
Gender | 0.6 (0.16-2.2) | 0.41 (0.1-1.6) |
|
Income | 0.66 (0.21-2.1) | 0.63 (0.16-2.4) |
Step 2: independent variables | |||
|
Perceived usefulness | 15 (4.3-51)d | 23 (5.6-97)d |
|
Perceived ease of use | 3.1 (0.95-10) | 2.4 (0.67-8.7) |
|
Social influence | 1.9 (0.64-5.5) | 1.8 (0.58-5.7) |
|
Burden of chronic disease or treatment (IIRSe) | 2.5 (0.68-9.2) | 0.31 (0.038-2.5) |
Step 3: interaction term | |||
|
Education | —f | 0.24 (0.034-1.6) |
|
IIRS × education | — | 31 (2.2-430)g |
aMeasurement of variables is as follows (variable: measurement)—multimorbidity: chronic disease counts from the Centers for Medicare & Medicaid Services Chronic Condition Warehouse [45]; age, gender, education: questions from the US Census and other national surveys; income: Likert-type question asking, “How hard is it for you to pay for the very basics like food, housing, medical care, and heating?” [44]; perceived usefulness: Perceived Usefulness Scale modified for mHealth apps [22,23]; perceived ease of use: Perceived Ease of Use Scale modified for mHealth apps [22,23]; social influence: Social Influence Scale modified for mHealth apps [23,30]; burden of chronic disease or treatment: Illness Intrusiveness Ratings Scale [53].
bAim 1 final model statistics: Hosmer-Lemeshow test, P=.18; Nagelkerke R2=0.57.
cAim 2 final model statistics: Hosmer-Lemeshow test, P=.82; Nagelkerke R2=0.62.
dP<.001.
eIIRS: Illness Intrusiveness Ratings Scale.
fVariables not tested in aim 1 analyses.
gP=.01.