Table 2.
Presence of Smoking Status Stamp And Physician Counseling Patterns
Univariate Analyses | Multivariate Analyses* | |||||
---|---|---|---|---|---|---|
Physician Counseling | Intervention, % | Control, % | Odds Ratio | 95% CI | Odds Ratio | 95% CI |
Did the physician … | (n = 1,229) | (n = 1,366) | ||||
Ask if you smoke? | 78.4 | 45.6 | 4.28 | 3.58, 5.10 | 3.97 | 2.87, 5.49 |
Ask if you use other forms of tobacco? | 18.5 | 12.8 | 1.72 | 1.34, 2.20 | 1.40 | 0.91, 2.18 |
For smokers, did the physician …† | (n = 417) | (n = 466) | ||||
Advise you to quit? | 39.9 | 26.9 | 1.81 | 1.36, 2.40 | 1.75 | 1.29, 2.35 |
Assist you to set a quit date? | < 1 | < 1 | 0.84 | 0.19, 3.76 | 0.74 | 0.16, 3.34 |
Assist you on how to quit? | 4.8 | 2.8 | 1.76 | 0.86, 3.58 | 1.60 | 0.78, 3.31 |
Arrange a follow-up appointment or referral? | 12.3 | 6.2 | 2.16 | 1.30, 3.38 | 1.97 | 1.20, 3.24 |
For each logistic model, we controlled for age, number of cigarettes smoked per day, the purpose of the clinic visit, whether the patient had a regular source of care, and the number of years that the patient smoked cigarettes.
For smokers n = 880; 3 participants dropped out because of missing values.