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Table 2 Self-reported approach to customers with complex medical comorbidities

From: Cannabis dispensary staff approaches to counseling on potential contraindications to cannabis use: insights from a national self-report survey

 

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)

  1. Abbreviations: aOR Adjusted Odds Ratio, CI confidence interval
  2. 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)
  3. b n=428, c n=351
  4. *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
  5. Bolded values have p-value<0.05
  6. ‘Other, please describe’ is not shown