Table V.
Factors related to family physician awareness of the Rapid Palliative Radiotherapy Program a
| Factor | Unaware (%) (n=141) | Aware (%) (n=31) | Independent predictors [or (95% ci)] | 
|---|---|---|---|
| Previously sought advice b from radiation oncologist? | |||
| Yes | 52 | 81 | 4.60 (1.78–11.96) | 
| No | 48 | 19 | |
| Provides palliative care c for their patients. | |||
| Yes | 77 | 94 | 4.26 (0.96–18.80) | 
| No | 23 | 6 | |
| Previous referral of patients for palliative radiotherapy? | |||
| Yes | 50 | 81 | 4.12 (1.59–10.62) | 
| No | 50 | 19 | |
| Logit (aware ofrprp) = β0 + β1 + β2 | |||
|---|---|---|---|
| Variable | Regression coefficient (β) | or (95% ci) | Wald p(z) | 
| 0. Intercept | −2.982 | ||
| 1. Advice | 1.142 | 3.13 (1.15–8.53) | 0.026 | 
| 2. Palliative care | 1.228 | 3.42 (1.32–8.86) | 0.012 | 
Multivariate logistic regression model estimating the probability of a family physician being “aware” of the Rapid Palliative Radiotherapy Program. A significant association (Wald p(z) < 0.25 by chi-square) was necessary for a factor to be eligible for entry into logistic model building. Final model:
Test for model validity: classification = Hosmer and Lemeshow “goodness of fit” (χ2 = 2.924, df =6, p = 0.82).
Test for model validity: discrimination = area under the roc curve c = 0.69.
or = odds ratio (odds of the outcome occurring for every unit increase in an individual independent variable, controlling for the other variables in the model); ci = confidence interval; intercept = a mathematical constant (no clinical interpretation); roc = receiver operator curve (test for ability of the model to discriminate between variables).