Table 4.
The multiple logistic regression model predicting whether a participant had shared their patient-generated data during the particular clinic visit. The model achieved a power of >0.75 and has been tested to ensure the absence of multicollinearity (Variance Inflation Factor <3.79).
| Outcome variable | Data sharing | ||
| Nagelkerke R2 | 0.105 | ||
| F ratio | 1.277 | ||
|
|
P value | .24 | |
| HSIa | 0.089 | ||
|
|
P value | .88 | |
| AEb | −1.175 | ||
|
|
P value | .06 | |
| Number of data types | 0.264 | ||
|
|
P value | .12 | |
| Memory trackers | −0.263 | ||
|
|
P value | .78 | |
| Tool trackers | −0.608 | ||
|
|
P value | .55 | |
aHSI: having sufficient information to manage one’s health.
bAE: the ability to actively engage with health care providers.