Sensor-based measurement of critical care nursing workload: Unobtrusive measures of nursing activity complement traditional task and patient level indicators of workload to predict perceived exertion.

ABSTRACT:

Objective

To establish the validity of sensor-based measures of work processes for predicting perceived mental and physical exertion of critical care nurses.

Materials and methods

Repeated measures mixed-methods study in a surgical intensive care unit. Wearable and environmental sensors captured work process data. Nurses rated their mental (ME) and physical exertion (PE) for each four-hour block, and recorded patient and staffing-level workload factors. Shift was the grouping variable in multilevel modeling where sensor-based measures were used to predict nursing perceptions of exertion.

Results

There were 356 work hours from 89 four-hour shift segments across 35 bedside nursing shifts. In final models, sensor-based data accounted for 73% of between-shift, and 5% of w

SUBMITTER: Rosen MA 

PROVIDER: S-EPMC6193584 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature