Table 2b.
Logistic regression models on dichotomous outcome variables
| Dichotomous outcome | Predictor | OR (95% CI) | p | |
|---|---|---|---|---|
| Prescribing more opioids (an odds ratio [OR] greater than 1 suggests that the predictor variable is more likely to prescribe more opioids, rather than prescribing less) |
Gender (vs. female) | Male | 0.80 (0.30, 2.11) | 0.649 |
| Age | 0.86 (0.73, 1.01) | 0.065 | ||
| Training (vs. Family Medicine) | Emergency Medicine | 2.14 (0.26, 17.83) | 0.481 | |
| Internal Medicine | 2.12 (0.38, 11.92) | 0.393 | ||
| Pediatrics | 0.78 (0.07, 9.12) | 0.845 | ||
| Physical Medicine & Rehabilitation | 2.42 (0.60, 9.77) | 0.216 | ||
| Years since training | 1.09 (0.92, 1.28) | 0.326 | ||
| Region (vs. Midwest) | West | 0.97 (0.31, 2.97) | 0.951 | |
| South | 0.30 (0.09, 0.93) | 0.037 | ||
| Northeast | 0.18 (0.05, 0.75) | 0.019 | ||
| Density (vs. urban) | Rural | 0.52 (0.09, 3.10) | 0.474 | |
| Suburban | 0.77 (0.29, 2.04) | 0.593 | ||
| Practice type (vs. academic/university) | Hospital system | 0.94 (0.27, 3.22) | 0.918 | |
| Community clinic | 0.22 (0.02, 3.04) | 0.261 | ||
| Private practice | 1.04 (0.27, 3.97) | 0.954 | ||
| VA/government | 0.33 (0.02, 5.44) | 0.441 | ||
| Baseline clinic volume | 1.00 (0.99, 1.01) | 0.759 | ||
| Baseline procedural volume | 1.02 (1.00, 1.04) | 0.065 | ||
| Personal relationship with SARS-CoV-2 (vs. no) | Yes | 1.56 (0.66, 3.71) | 0.310 | |
| Prescribing more NSAIDs (an odds ratio [OR] greater than 1 suggests that the predictor variable is more likely to prescribe more NSAIDs, rather than prescribing less) |
Gender (vs. female) | Male | 1.75 (0.79, 3.84) | 0.166 |
| Age | 0.98 (0.88, 1.10) | 0.784 | ||
| Training (vs. Family Medicine) | Emergency Medicine* | - | - | |
| Internal Medicine | 0.79 (0.22, 2.88) | 0.719 | ||
| Pediatrics | 0.29 (0.03, 2.39) | 0.248 | ||
| Physical Medicine & Rehabilitation | 0.53 (0.16, 1.74) | 0.295 | ||
| Years since training | 0.99 (0.89, 1.10) | 0.892 | ||
| Region (vs. Midwest) | West | 0.63 (0.25, 1.59) | 0.328 | |
| South | 0.66 (0.29, 1.51) | 0.321 | ||
| Northeast | 0.85 (0.35, 2.09) | 0.725 | ||
| Density (vs. urban) | Rural | 0.65 (0.18, 2.30) | 0.502 | |
| Suburban | 1.08 (0.52, 2.24) | 0.827 | ||
| Practice type (vs. academic/university) | Hospital system | 1.80 (0.76, 4.29) | 0.182 | |
| Community clinic | 0.99 (0.18, 5.29) | 0.989 | ||
| Private practice | 1.06 (0.41, 2.76) | 0.903 | ||
| VA/government | 5.88 (0.81, 42.47) | 0.079 | ||
| Baseline clinic volume | 1.00 (0.99, 1.01) | 0.440 | ||
| Baseline procedural volume | 1.02 (1.00, 1.04) | 0.084 | ||
| Personal relationship with SARS-CoV-2 (vs. no) | Yes | 1.18 (0.61, 2.30) | 0.617 | |
Boldface = statistical significance (p < 0.05).
OR = odds ratio; CI = confidence interval; NSAIDs = non-steroidal anti-inflammatory medications.
*
Everyone in Emergency Medicine responded “no” to the question on prescribing more NSAIDs, resulting in no calculations of an odds ratio.