I hope you are well.
I have been trying to use linear probability models, but I am not so sure I am doing correctly..
My regression results are here:
Measure | Coefficient | P-value | 95% Confidence Interval |
Unadjusted Estimates | |||
Readmission to Hospital | -.0052133 | .009 | -.0091095, -.0013172 |
Discharge to Community | -.0074036 | .005 | -.0126198, -.0021873 |
ADL Decline | -.000303 | .655 | -.0016311, .0010251 |
Length of Stay | 2.023417 | <.001 | 1.562751, 2.484082 |
90-day Costs | 978.885 | <.001 | 737.5332, 1220.237 |
Adjusted Estimates | |||
Readmission to Hospital | -.0067059 | .309 | -.019629, .0062172 |
Discharge to Community | .0193361 | .016 | .003642, .0350301 |
ADL Decline | -.0029406 | .206 | -.0074942, .0016131 |
Length of Stay | .2742938 | .717 | -1.210172, 1.75876 |
90-day Costs | -337.8859 | .363 | -1065.894, 390.1217 |
The first three outcomes are binary variables and the other two are continuous.
The key independent variable is 1= advanced practitioners (APs) and 0= physicians.
My interpretations for the adjusted estimates are:
Patients treated by APs are more likely to discharge to the community (1.93 percent point more; p-value 0.16; 95% CI 0.003642 to 0.0350301).
There were no significant differences in the other four outcomes.
Am I correct?
Any advice would be highly appreciated!
Thanks!!
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