Table 6.
Outcome of Individual Logistic Regression Fits to Predict Occurrence of Near Misses (NMs) in a Given 2-Hour Time Period Using Workload Variables as Possible Predictors
| No. of 2-hr time periods | p value | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Nurse | Worked last week | With at least 1 NM | Whole mode | Patient count | Medication count | Task count | Call light count | Average sepsis score | 2-hr time periods worked | AUC | Correct Classification Rate |
| 1 | 147 | 40 | .0003 | .8769 | .0001 | .9415 | — | .8090 | .6629 | .7902 | .7483 |
| 2 | 202 | 52 | <.0001 | .3804 | <.0001 | .7499 | .3342 | .0639 | .4627 | .7509 | .7475 |
| 3 | 119 | 24 | .0002 | .6376 | .0582 | .3922 | .0109 | .0003 | .4124 | .7952 | .8319 |
| 4 | 7 | 1 | 2193 | — | .9997 | .9993 | — | .9994 | .9991 | 1.0000 | 1.0000 |
| 5 | 198 | 35 | .0619 | .2199 | .4151 | .5327 | .1989 | .1610 | .5024 | .6778 | .8232 |
| 6 | 188 | 40 | .0001 | .3319 | .0657 | .0145 | .1836 | .7424 | .9093 | .7666 | .8085 |
| 7 | 167 | 28 | .1413 | .0494 | .2256 | .2282 | .0893 | .4242 | .9235 | .6650 | .8383 |
| 8 | 189 | 36 | .0001 | .0498 | <.0001 | .7589 | — | .7766 | .8797 | .7629 | .8042 |
| 9 | 215 | 40 | .0036 | .8779 | .2852 | .3841 | .0005 | .3231 | .6781 | .7287 | .8047 |
| 10 | 184 | 34 | .0004 | .0458 | .0118 | .0187 | .9792 | .1281 | .8117 | .7698 | .8152 |
| 11 | 168 | 55 | <.0001 | .2061 | <.0001 | .2798 | .3559 | .5127 | .4751 | .7525 | .7381 |
| 12 | 53 | 11 | .0594 | .4459 | .0023 | .0626 | .2573 | .1172 | .3482 | .8160 | .8302 |
| 13 | 180 | 44 | <.0001 | .7495 | .0016 | .0255 | — | .9378 | .3605 | .7669 | .8000 |
| 14 | 197 | 57 | .0017 | .1703 | .0573 | .9179 | .0043 | .2646 | .8781 | .7188 | .6954 |
| 15 | 14 | 4 | .0102 | .9961 | <.0001 | .9960 | .8260 | .9967 | .3232 | 1.0000 | 1.0000 |
| 16 | 20 | 3 | .0096 | <.0001 | .9951 | <.0001 | 1.0000 | .9904 | <.0001 | 1.0000 | 1.0000 |
| 17 | 217 | 62 | <.0001 | .3392 | .0001 | .0861 | .7248 | .7916 | .6748 | .7722 | .7373 |
| 18 | 158 | 30 | <.0001 | .8318 | .0001 | .5483 | .0958 | .6720 | .0575 | .7878 | .8228 |
| 19 | 200 | 43 | <.0001 | .1825 | <.0001 | .9607 | .1196 | .5673 | .8457 | .7910 | .8150 |
| 20 | 36 | 10 | .6277 | .8952 | .8697 | .5024 | .2958 | .4316 | .2965 | .7308 | .6667 |
| 21 | 168 | 30 | .0372 | .7609 | .0799 | .3777 | .3772 | .0328 | .7560 | .7002 | .8274 |
| 22 | 5 | 2 | .1509 | — | .9998 | .9995 | .9989 | — | 1.0000 | 1.0000 | 1.0000 |
| 23 | 215 | 37 | .0181 | .6413 | .0068 | .0648 | .2928 | .7288 | .3644 | .7038 | .8279 |