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Nursing intensity. Going beyond patient classification.

C Y Phillips1, A Castorr, P A Prescott

  • 1Millersville University, Pennsylvania.

The Journal of Nursing Administration
|April 1, 1992
PubMed
Summary
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Patient classification systems like Medicus and GRASP differ in measuring nursing intensity. The Patient Intensity for Nursing Index (PINI) explains only half the variability, highlighting significant differences in assessing nursing resource use and care costs.

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.

Related Experiment Videos

  • 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.