title: Measuring nursing workload: understanding the variability.
abstract: The authors present a new multifactorial intensity and complexity of care model and meta-paradigm that is designed to examine costs, nursing work, and the variability in resource use across patients and environments. Relationships were observed among four key variables which included patient-nursing condition, medical condition, caregiver characteristics and the environment. Patient-nursing complexity and medical complexity are commonly measured by nursing diagnosis and DRG or Canadian case mix groupings (CMG) respectively. The complexities associated with the work environment had been the least previously studied factors. Environmental complexity factors include both supply and demand dimensions: scheduling and coordination of procedures, multiple and long procedures, and characteristics and composition of the caregiver team.
authors.affiliation: Effectiveness and Outcomes Research Unit, Faculty of Nursing, University of Toronto, Ontario.
authors.forename: L
authors.initials: L
authors.lastname: O'Brien-Pallas
authors.forename: D
authors.initials: D
authors.lastname: Irvine
authors.forename: E
authors.initials: E
authors.lastname: Peereboom
authors.forename: M
authors.initials: M
authors.lastname: Murray
mesh_terms: D000293:Adolescent; D000328:Adult; D002648:Child; D002675:Child, Preschool; D003953:Diagnosis-Related Groups / Q000145:classification*; D006801:Humans; D007223:Infant; D007902:Length of Stay; D016294:Models, Nursing; D015401:Nursing Administration Research; D009733:Nursing Diagnosis; D009740:Nursing Staff / Q000191:economics / Q000600:supply & distribution*; D010561:Personnel Staffing and Scheduling / Q000592:standards*; D015203:Reproducibility of Results; D012720:Severity of Illness Index; D016526:Workload