Table 3.
Exposure to Nurse Value-Added (NVA) and Patient Outcomes, N = 3,492
| Variable | (1) | (2) | (3) | (4) |
|---|---|---|---|---|
| RI Change | Cost | LOS | Readmission | |
| NVA, z-score | 0.025 (0.10) | −0.065** (<0.01) | −0.026** (<0.01) | 0.878 (0.09) |
| Patient characteristics | ||||
| RI score at admission | −0.529** (<0.01) | −0.052** (<0.01) | −0.037** (<0.01) | 0.834* (<0.01) |
| Sex: Female | −0.099** (<0.01) | 0.050* (0.0369) | 0.047** (<0.01) | 0.867 (0.263) |
| Age: 45–54 | 0.011 (0.745) | 0.139** (<0.01) | −0.047** (<0.01) | 0.956 (0.809) |
| Age: 55–64 | −0.093* (0.0108) | −0.034 (0.325) | −0.050** (<0.01) | 0.693 (0.0684) |
| Age: 65–74 | −0.128** (<0.01) | 0.092* (0.0149) | −0.077** (<0.01) | 0.636 (0.0665) |
| Age: 75+ | −0.439** (<0.01) | −0.034 (0.483) | −0.103** (<0.01) | 0.633 (0.0724) |
| Type of admission: surgical | 0.389 (0.0779) | 0.400* (0.0372) | 0.145 (0.0621) | 1.373 (0.0635) |
| Prior hospitalization: no | 0.158** (<0.01) | −0.035 (0.312) | −0.079** (<0.01) | 0.457** (<0.01) |
| Goodness-of-fit | 0.534 | 1.241 | 1.025 | 0.196 |
Note. Shown are regression coefficients from an ordinary least squares regression (1), GLM regression (2)-(3), and odds ratios from a logistic regression (4), using the sample of n = 3,492 patients hospitalized during the months 4–6 of the study. The goodness-of-fit statistic is adjusted R-squared for model (1), scaled Pearson chi-squared for models (2) and (3), and pseudo-R-squared for model (4). LOS and cost coefficients represent approximate percentage changes. Other controls included are diagnosis, unit assignment profile, and calendar week and day fixed effects. The estimates are adjusted for correlated errors at the nurse level.
Robust p-values are in parentheses,
<.05,
<.01.