Table 4.
Number of Skilled Nursing Visits as Predictor of Hospital Admission within 90 Days of Home Health Discharge: Logistic Regression Models
Unadjusted Model | Adjusted Model* | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
|
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Unweighted | OR | SE | 95% CI | P | OR | SE | 95% CI | P | ||
Medium vs. High | 0.91 | 0.04 | 0.91 | 0.84 | 0.04 | 1.05 | 0.05 | 0.96 | 1.15 | 0.28 |
Medium vs. Low | 0.40 | 0.02 | 0.40 | 0.37 | <0.01 | 0.40 | 0.02 | 0.37 | 0.44 | <0.01 |
High vs. Low | 0.44 | 0.02 | 0.40 | 0.47 | <0.01 | 0.38 | 0.02 | 0.36 | 0.42 | <0.01 |
PS-weighted | OR | SE | 95% CI | P | |
---|---|---|---|---|---|
Medium vs. High | 1.02 | 0.03 | 0.97 | 1.07 | 0.45 |
Medium vs. Low | 0.39 | 0.01 | 0.37 | 0.41 | <0.01 |
High vs. Low | 0.38 | 0.01 | 0.37 | 0.40 | <0.01 |
Note. Note. OR = odds ratio; SE = standard error (per the delta method); 95% CI = 95% confidence interval, PS=propensity score.
Adjusted model includes adjustment for the following 3 covariates based imbalance before weighting: number of high risk diagnoses, presence of dyspnea, prior inpatient stay. Adjusted and PS weighted model findings are similar but variability in the PS weighted model is significantly reduced over the adjusted model.