Dynamic Patient Events and Impact on Nursing Workload
MetadataShow full item record
Publisher:The Ohio State University
Series/Report no.:The Ohio State University. College of Nursing Honors Theses; 2013
Research has shown that an appropriate allocation of staff favorably impacts patient outcomes, patient safety, financial outcomes, and staff satisfaction. Staffing methodology involves matching the appropriate number, skill, and mix of registered nurses and unlicensed personnel to the specific care needs on a unit. The challenge of adequately staffing is amplified by higher patient acuities and dynamic patient events, defined as rapid and unanticipated changes in patients’ clinical status or nursing care needs that result in sudden shifts in nursing workload and the need to carry out rapid staffing adjustments. The purpose of this study is to examine how dynamic patient events, such as codes, emergency response needs, bedside procedures, monitored patient travel time and requirements for patient safety attendants, impact nurse staffing levels. Research will be conducted on two medical-surgical units at the OSU Wexner Medical Center and OSU East. Using a cross-sectional approach, specific dynamic patient events from these two units will be entered into the Dynamic Event Workload Capture module of the Cerner Clairvia™ system, the current staff decision support technology utilized at OSUHS. This module immediately recalculates the staffing requirements based on patient acuities and other workload demands as unanticipated and dynamic events occur. Descriptive analysis will be used to determine the mean number of dynamic patient events and to categorize these events by type and time involved. Correlational analysis will evaluate the relationship between unit acuity and number and duration of dynamic patient events, and acuity target staffing levels and dynamic patient events. We hope this project will offer insight into potential solutions for efficiently staffing for these events.
Academic Major: Nursing