Table 4.
Nurse-Assessed Outcome | Patients | Nurses | P Valueb | Regression Coefficientb | |||
Medicine | Surgery | Neurosurgery | Neurology | ||||
Quality-of-dying ratingc | 1,118 | 562 | < .001 | Ref | −0.596d | 1.157e | 0.860f |
Quality of care by all providersg | 1,193 | 583 | .029 | Ref | −0.159 | 0.463 | 0.415 |
Satisfaction, team met family’s needsh | 1,149 | 568 | .665 | Ref | −0.185 | −0.066 | 0.195 |
See Table 3 legend for expansion of abbreviation.
Associations for all outcomes were tested with complex multipredictor regression models, with patients clustered under nurses and estimates based on restricted maximum likelihood. Two outcomes (the quality of dying rating, satisfaction with how well the team met the family’s needs) were tested with linear regression; the other outcome (quality of care by all providers) was censored from above and was tested with Tobit regression. All models included covariate adjustment for hospital (13 dummy indicators) in addition to outcome-specific confounder adjustments noted in subsequent table footnotes.
The overall P value for physician specialty is based on the reduction in deviance obtained in a model in which the coefficients for the three dummy indicators for physician specialty were freely estimated, when compared with a model in which the three specialty-related regression coefficients were constrained to 0.0.
Score could range from 0 (terrible quality) to 10 (perfect quality).
P < .05.
P < .001.
P < .01.
Score could range from 0 (worst possible care) to 10 (best possible care). This model included covariate adjustment for nurse’s racial minority status.
Score could range from 0 (not satisfied at all) to 10 (very satisfied). This model included covariate adjustment for patient disease (cancer, trauma, other) and nurse’s racial minority status.