Table 2. Risk-Factor-Adjusted Patient Status Outcomes in TNHs and CNHs:1 Prospective Admission Sample.
| Prospective Admission Sample | TNH Mean | CNH Mean | Unadjusted Mean Difference | Unadjusted Significance2 | Case-Mix-Adjusted Mean Difference3 | Case-Mix-Adjusted Significance3 |
|---|---|---|---|---|---|---|
|
| ||||||
| Percent | ||||||
| Discharged to Community | ||||||
| Stabilized in Bathing | 45.7 | 31.9 | 13.8 | <.001 | 15.7 | <.001 |
| Stabilized in Ambulation | 42.1 | 30.1 | 12.0 | <.001 | 10.5 | <.001 |
| Improved in Transferring | 30.1 | 19.5 | 10.6 | <.001 | 10.1 | <.001 |
| Improved in | ||||||
| Decubitus Ulcer Pattern | 95.8 | 75.0 | 20.8 | .033 | 10.1 | .227 |
| Bowel Incontinence | 54.8 | 32.8 | 22.0 | .013 | 27.5 | .004 |
| Stabilized in | ||||||
| Catheter Pattern | 91.9 | 83.1 | 8.8 | .007 | 11.7 | .002 |
| Decubitus Ulcer Pattern | 88.0 | 83.0 | 5.0 | .119 | 3.9 | .231 |
| Patients in Facility 6 Months | ||||||
| Improved in Dressing | 28.2 | 36.6 | -8.4 | .046 | -5.8 | .177 |
| Improved in Feeding | 43.7 | 52.4 | -8.7 | .086 | -7.6 | .166 |
| Stabilized in Urinary Incontinence | 78.2 | 85.8 | -7.6 | .077 | -5.0 | .315 |
Data correspond to the intervention-period prospective admission sample. Prospective admission sample sizes are presented in the article. The number of valid cases for each variable may differ due to the exclusion of cases with incomplete or missing data.
The unadjusted significance level for dichotomous variables is that of the odds ratio (coefficient) in a logistic regression model using only the 0/1 TNH indicator as an independent variable.
The mean difference for dichotomous variables was adjusted using logistic regression. The significance for the adjusted mean difference is the significance of the odds ratio, i.e., exp (b), where b is the coefficient of the TNH versus CNH dichotomy in a logistic regression model, with case-mix covariates in the model.
NOTES: TNH is teaching nursing home. CNH is comparison nursing home.
SOURCE: Primary data collected by nursing home and research staff on Teaching Nursing Home Program study patients (from TNHs and CNHs).