Table 3. Association of Basis of Recommendations With State Medicalization Score and Statewide Adult Usea.
| Potential basis | State medicalization score (per 10-point increment) | Statewide adult use | ||
|---|---|---|---|---|
| OR (95% CI) | P value | OR (95% CI) | P value | |
| Training provided by your employer | 1.41 (1.18-1.67) | <.001 | 1.51 (0.90-2.54) | .12 |
| Trade literature (eg, trade magazines or websites) | 0.99 (0.85-1.15) | .86 | 1.69 (1.05-2.75) | .03 |
| App or website that helps with product selection (eg, Strainpaint) | 0.88 (0.75-1.04) | .14 | 1.69 (1.02-2.79) | .04 |
| Scientific articles (eg, articles from medical journals) | 0.89 (0.76-1.04) | .16 | 1.42 (0.84-2.41) | .19 |
| Physician/clinician input | 1.23 (1.05-1.43) | .01 | 0.93 (0.57-1.53) | .78 |
| Customer’s medical condition(s) | 1.01 (0.85-1.20) | .93 | 0.87 (0.49-1.54) | .64 |
| Cost | 1.05 (0.90-1.21) | .55 | 1.0 (0.62-1.62) | .99 |
| Product availability | 0.91 (0.78-1.06) | .22 | 1.05 (0.65-1.69) | .85 |
| What needs to get moved out of inventory | 0.72 (0.55-0.93) | .01 | 1.09 (0.54-2.18) | .82 |
| Experiences of other customers | 1.04 (0.88-1.24) | .65 | 1.54 (0.86-2.76) | .14 |
| Your personal experience | 0.82 (0.69-0.98) | .03 | 1.23 (0.67-2.26) | .5 |
| Other staff recommendations | 0.86 (0.73-1.01) | .07 | 1.37 (0.79-2.36) | .26 |
| Customer preference | 1.05 (0.88-1.24) | .6 | 1.12 (0.64-1.96) | .71 |
| Experience of friends or colleagues | 0.92 (0.79-1.08) | .29 | 2.09 (1.27-3.43) | .004 |
| Customer’s prior experience with cannabis | 1.02 (0.85-1.22) | .86 | 1.65 (0.9-3.04) | .11 |
| Daytime or nighttime consumption | 1.0 (0.82-1.20) | .97 | 1.76 (0.93-3.34) | .08 |
| Product smell | 0.89 (0.74-1.08) | .23 | 3.18 (1.86-5.43) | <.001 |
| Product appearance (for flower) | 0.78 (0.64-0.956) | .02 | 2.63 (1.53-4.52) | <.001 |
Abbreviation: OR, odds ratio.
a
This table presents a series of logistic regression models in which each row represents the dependent variable with each column representing an independent variable in separate logistic regression models. For example, the second column of the second row indicates that a 10-point increase in the state medicalization score is associated with 1.41 times higher odds of the respondent saying that they use training provided by their employer as basis for recommendations.