Table 2.
Self-reported approach to customers with complex medical comorbidities
| All respondents (n=434) | Non-clinicians only (n=355) | ||||
|---|---|---|---|---|---|
| Yes, n (%) | State medicalization scorea,b
(aOR [95% CI]) |
Statewide adult usea,b
(aOR [95% CI]) |
State medicalization scorea,c
(aOR [95% CI]) |
Statewide adult usea,c
(aOR [95% CI]) |
|
| What do you do when you encounter a customer who is using cannabis to treat a medical condition (such as cancer, HIV/AIDS, or multiple sclerosis)? | |||||
| Encourage customer to inform physician or other healthcare professional about cannabis use | 293 (67.5%) | 1.2 (1.0-1.4) | 1.2 (0.7-2.0) | 1.1 (0.9-1.4) | 1.3 (0.8-2.2) |
| Encourage customer to seek traditional medical care in addition to OR instead of cannabis | 247 (56.9%) | 1.0 (0.8-1.1) | 1.3 (0.8-2.1) | 1.0 (0.8-1.2) | 1.3 (0.8-2.1) |
| Encourage customer to seek traditional medical care in addition to cannabis | 216 (49.8%) | 1.0 (0.9-1.1) | 1.3 (0.8-2.0) | 1.0 (0.8-1.1) | 1.4 (0.8-2.3) |
| Encourage customer to do additional research online | 212 (48.8%) | 0.9 (0.8-1.0) | 1.6 (1.0-2.6) | 0.9 (0.8-1.1) | 1.9 (1.1-3.1) |
| Encourage customer to seek traditional medical care instead of cannabis | 47 (10.8%) | 1.1 (0.8-1.4) | 1.3 (0.5-3.5) | 1.1 (0.8-1.6) | 0.5 (0.2-1.9) |
| I don't do anything differently | 42 (9.7%) | 1.1 (0.8-1.3) | 0.5 (0.2-1.1) | 1.1 (0.8-1.3) | 0.5 (0.2-1.2) |
| Encourage customer to continue only cannabis | 40 (9.2%) | 1.2 (0.9-1.6) | 2.3 (0.9-6.0) | 1.3 (1.0-1.8) | 1.7 (0.6-5.1) |
| I have never encountered a customer who is using cannabis to treat a medical condition | 10 (2.3%) | 1.2 (0.7-1.9) | 0.3 (0-2.2) | 1.2 (0.7-1.9) | 0.3 (0-2.2) |
Abbreviations: aOR Adjusted Odds Ratio, CI confidence interval
aRegression full model includes: state medicalization score per 10-point increment; statewide adult use (yes/no [ref]); age per 10-point increment; role (budtender [ref], manager, physician/NP/PA, pharmacist, other); years working in cannabis industry (categorical- <6 months [ref], 6 months-1 year, 1-2 years, >2 years, no response); sales commission (yes/no); Education (categorical)
b n=428, c n=351
*This table presents a series of mixed effects multivariable regression models in which each row represents the dependent variable with each column representing and independent variable in separate regression models. A random effect was included for state to account for clustering
Bolded values have p-value<0.05
‘Other, please describe’ is not shown