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Essential elements in determining patient's complexity of nursing care
Dhurata Ivziku1, Federica Maria Pia Ferramosca2, Lucia Filomeno3
1PhD, RN, Department of Nursing Innovation and Development, Campus BioMedico of Rome University Hospital, Email address: d.ivziku@unicampus.it.
Professioni Infermieristiche
|April 1, 2022
Summary
Patient complexity of care (PCC) is best determined by patient autonomy and clinical stability. Nurses can use these key metrics for rapid assessment and improved patient care management.
Area of Science:
- Nursing
- Healthcare Management
- Patient Care
Background:
- Patient complexity of care (PCC) is a critical factor in nursing workload, yet lacks a universally defined standard.
- Existing tools for assessing PCC are varied, with no established gold standard.
Framework:
- This study explored essential elements determining PCC, focusing on patient needs.
- A PCC measurement instrument, developed in 2010, classifies patients into macro-levels of care complexity (low, medium, high, intensive).
Implementation:
- A descriptive analysis of prospectively collected nursing record data from 2016-2017 was performed.
- The study analyzed 26,593 patient records to determine the incidence of individual metrics on overall PCC levels.
Implications:
- Patient autonomy (92.2%) and clinical stability (74.4%) were identified as the primary determinants of PCC.
- These findings enable nurses to quickly classify PCC, supporting decision-making, care load distribution, and staffing asset definition.
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