2. Sub-sample Analysis
We conduct a sub-sample analysis to deepen our analysis of patient
engagement’s role. We estimate the ordered logistic regression models
for two groups of observations – one with an established PFAC and the
other without it. The model specifications are identical to our
principal analysis, except for patient engagement as a predictor
variable. Table 4 shows the estimation results for the quality of care.
One notable difference between the two groups is the impact of human
resources. For hospitals without patient input, only the number of
doctors significantly improves the quality of care. However, for
hospitals using patient engagement as their resource, the number of
nurses per bed significantly predicts performance. A hospital with one
more registered nurse per bed has 79.5% greater odds of receiving a
higher quality of care score.
Table 4. Sub-sample Results – Quality of Care