Publication Date

Spring 2026

Degree Type

Doctoral Project

Degree Name

Doctor of Nursing Practice (DNP)

Department

Nursing

First Advisor

Wei-Chen Tung

Keywords

Nursing workload, patient assignment equity, coefficient of variation, charge nurse education, NASA‑TLX, quality improvement

Abstract

Inpatient nursing shift assignments often rely on clinical judgment, which can lead to inequitable workload distribution on mixed‑acuity units. This quality improvement project evaluated assignment equity using the coefficient of variation (CV) of nursing workload acuity scores and examined the relationship between workload balance and perceived assignment burden. A single‑group pretest–posttest design was implemented on a cardiac adaptable acuity unit at Stanford Health Care over a 12‑week period, encompassing 168 shifts from December 14, 2025, to March 7, 2026. The intervention, implemented with 11 charge nurses, combined structured charge nurse education with an optimized Epic Reporting Workbench tool incorporating dynamic effort categorization stratified by level of care. Assignment equity was measured using CV calculated from assignment‑time workload scores, and perceived workload was assessed with the NASA Task Load Index. Mean CV decreased from 22.52% to 18.26% post‑intervention (p < .001), representing an 18.9% relative reduction with a medium effect size. Improvements were consistent across shift types and levels of care, and perceived workload decreased concurrently. These findings suggest that acuity‑informed decision support paired with targeted charge nurse education can meaningfully improve assignment equity and reduce perceived assignment burden in inpatient settings. The single-site design, small sample size, and short study duration may limit the generalizability of the findings, underscoring the need for future research to promote equitable workload distribution and reduce nurse assignment burden in diverse inpatient settings.

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