Nursing intensity. Going beyond patient classification.

Area of Science:

• Nursing Administration
• Healthcare Management
• Health Informatics

Background:

• Accurate patient classification is crucial for resource allocation and cost estimation in nursing.
• Existing systems like Medicus and GRASP aim to quantify nursing intensity but may vary in their approach.
• The Patient Intensity for Nursing Index (PINI) provides a benchmark for nursing resource use.

Purpose of the Study:

• To compare the Medicus and GRASP patient classification systems against the Patient Intensity for Nursing Index (PINI).
• To evaluate the extent to which PINI items account for variability in Medicus and GRASP scores.
• To determine if Medicus and GRASP measure nursing resource use consistently.

Main Methods:

• Comparative analysis of three patient classification systems: Medicus, GRASP, and PINI.
• Correlation analysis to assess the relationship between PINI items and scores from Medicus and GRASP.
• Statistical evaluation of the variability explained by PINI within the other systems.

Main Results:

• The Patient Intensity for Nursing Index (PINI) accounted for approximately 50% of the variability in both Medicus and GRASP systems.
• Correlation patterns indicated that Medicus and GRASP do not measure nursing resource use in a similar manner.
• Significant discrepancies exist in how these systems quantify nursing intensity.

Conclusions:

• Nurse administrators must recognize that different patient classification systems yield varying estimates of nursing intensity and associated costs.
• The choice of patient classification system impacts the perceived nursing resource needs and financial implications.
• Further research may be needed to standardize or reconcile these nursing intensity measures.