Table 4.
Factors associated with coronavirus disease 2019 prevalence
| Correlation Coefficient | p Value | |
|---|---|---|
| Modified office hours | .23 | .009 |
| Dispensed DME at office | -.23 | .009 |
| % Telemedicine visits | ||
| Infections | .22 | .009 |
| Trauma | .23 | .009 |
| Post-op | -.17 | .04 |
| Did not inform patients about telemedicine | .20 | .02 |
| Effectiveness of telemedicine* | ||
| Medical | -.21 | .02 |
| Musculoskeletal | -.19 | .03 |
| Completely closed | .18 | .03 |
| Hours open COVID-19 | -.19 | .03 |
| Video platform- Facetime | .17 | .04 |
Abbreviations: COVID-19, coronavirus disease 2019; DME, durable medical equipment; Post-op, postoperative.The relationship strength of the variables was determined via Pearson correlation coefficient and the statistical significance was determined using Student's t test. Positive correlation coefficient indicates association with high COVID-19 prevalence. Only significant variables (p value ≤ .05) were reported.
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Question was asked using a 10-point Likert scale, ranging from 1 (lowest) to 10 (highest).