Table 2.
Variables | Values | Internal consistency (Cronbach α) |
|||
Had a connected health or wellness device, n (%) | —a | ||||
|
No | 90 (51.7) |
|
||
|
Yes | 84 (48.3) |
|
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Had an mHealth app, n (%) | — | ||||
|
No | 42 (24.1) |
|
||
|
Yes | 132 (75.9) |
|
||
Facilitators: perceptions of GPs of the benefits of mHealth apps and devices for patients, caregivers, their own clinical practice, and GP-perceived drivers for mHealth apps and devices implementation in their medical practiceb, mean (SD) | 57.2 (16.6) | .91 | |||
Obstacles: perceptions of GPs of risks for the patient and barriers for the GPs practiceb, mean (SD) | 54.1 (15.6) | .71 | |||
Perceptions of GPs of the importance of the involvement of trusted actors in health in the construction of mHealth apps and devicesb, mean (SD) | 75.5 (19.8) | .76 | |||
Perceptions of GPs of the usefulness of mHealth apps and devices certificationb, mean (SD) | 64.2 (15.3) | .71 | |||
Perceptions of GPs of the importance of the involvement of health-related organizations and stakeholders in promoting the use of mHealth apps and devices in general medicineb, mean (SD) | 64.6 (22.7) | .78 | |||
Perceptions of GPs of the utility of validation of mHealth apps and devices using randomized studies (evidence-based medicine)b, mean (SD) | 81.1 (21.4) | — |
aCronbach α could not be estimated because of qualitative variables or a single quantitative item.
bScore ranging from 0 to 100, with 100 representing the greatest perceived benefit or driver, risk or barrier, involvement, or utility, as applicable.