Abstract
BackgroundNursing workload measurement systems are vital to determine nurse staffing for safe care. The Inpatient Complexity and Assessment and Monitoring to Ensure Optimal Outcomes (CAMEO©) acuity tool provides a standardized language to communicate the acuity and complexity of nursing care in the pediatric inpatient setting. Design and methodsA process improvement project was implemented on a pediatric cardiac inpatient unit to utilize the Inpatient CAMEO© tool to inform nurse-patient assignments. Development of the Inpatient CAMEO© Staffing Algorithm utilized a modified Delphi methodology. Six Delphi rounds were performed for algorithm development, addressing potential implementation barriers, educating nursing staff, piloting feasibility, and final full implementation. ResultsThe cardiac inpatient unit's charge nurses' algorithm utilization was 86% (n = 12) during the feasibility pilot. The algorithm impacted and changed 28% (n = 4) of the shifts' assignments. One-year post algorithm implementation, CAMEO© documentation rates increased from 25 to 30% to >60%. A retrospective, two-week point-prevalence analysis one-year post-implementation described adherence to the Inpatient CAMEO© Staffing Algorithm for 87% (n = 375) of the nurses' patient assignments. ConclusionsThe Inpatient CAMEO© Staffing Algorithm was developed based upon the Inpatient CAMEO© tool and the Inpatient CAMEO© Complexity Classification System to inform nurse-patient assignments and allocate nursing resources. The Inpatient CAMEO© Staffing Algorithm was feasible and sustainable for over one year following implementation at a single center's pediatric cardiac inpatient unit.
Published Version
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