Table 1.
Provider attitudes and beliefs about smoking cessation apps (N=264).
|
|
Completely disagreea
n (%) |
Somewhat disagreea
n (%) |
Neutrala
n (%) |
Somewhat agreea
n (%) |
Completely agreea
n (%) |
| Many of my clients or patients use mHealth apps to manage their health. | 23 (8.7) | 88 (33.3) | 65 (24.6) | 74 (28.0) | 4 (1.5) |
| mHealth apps hold promise as a tool to help people stop smoking. | 2 (0.8) | 10 (3.8) | 38 (14.4) | 126 (47.7) | 77 (29.2) |
| There is good empirical evidence that stop-smoking apps can help people quit. | 26 (0.3) | 30 (11.4) | 134 (50.8) | 69 (26.1) | 12 (4.5) |
| As a clinician, I would recommend a stop-smoking app to my patients or clients trying to quit. | 2 (0.8) | 12 (4.5) | 38 (14.4) | 137 (51.9) | 64 (24.2) |
| Effective stop-smoking apps are widely available for smokers. | 11 (4.2) | 46 (17.4) | 84 (31.8) | 90 (34.1) | 22 (8.3) |
| If there were an app that allowed me to track my client/patients’ progress quitting smoking, I would use it as a clinician. | 10 (4.2) | 21 (8.0) | 35 (13.3) | 113 (42.8) | 74 (28.0) |
| If there were an empirically validated stop-smoking app, I would recommend it. | 5 (1.9) | 2 (0.8) | 10 (3.8) | 69 (26.1) | 167 (63.3) |
aNonresponders ranged from n=10 to n=13 across items and are not reflected in table.