Research Article

Nursing Workload Prediction for Upcoming Shifts: A Retrospective Observational Exploratory Study in the Postoperative and Intensive Care Unit

Table 1

Sociodemographic description of number of patients, age, sex, type of admission, type of surgery, length of stay in hours, number of days, and number of patients per day and shift.

Medical patientsSurgical patients

Patients, number (%)2695613 (22.7)2082 (77.3)

Age, mean (SD)63.2 (18.9)59.8 (20.4)64.2 (18.3)<0.001§

Sex, number (%)
Male1257 (46.6)388 (30.9)869 (69.1)
Female1438 (53.4)225 (15.6)1213 (84.4)<0.001

Type of admission, number (%)
Elective1047 (38.8)74 (7.1)973 (92.9)
Emergency1648 (61.2)539 (32.7)1109 (67.2)<0.001

Type of surgery, number (%)
Gastrosurgical635 (30.5)
Orthopedic1300 (62.4)
Nonoperated147 (7.1)

Length of stay hours PO/ICU‡‡ median (Q1–Q3)3.4 (2.1–6.3)7.2 (2.0–19.8)3.2 (2.1–5.0)<0.001††

Number of days182

Patients per day and shift, mean (SD)
Total20.2 (6.7)
Night shift6.6 (2.3)
Day shift13.9 (5.4)
Evening shift12.0 (4.2)

 = SD-standard deviation,  = Q1–Q3-interpercentile range, § = Student’s T-test,  = Chi-square, †† = Mann–Whitney U, ‡‡ = PO/ICU-postoperative/intensive care unit. value <0.05 indicates statistical significance.