Related Experiment Videos

Predicting pressure ulcers: cases missed using a new clinical prediction rule

Lisette Schoonhoven1, Diederick E Grobbee, Mente T Bousema

  • 1Centre for Quality of Care Research, Department of Nursing Science, University Medical Centre Nijmegen, Nijmegen, The Netherlands.

Journal of Advanced Nursing
|December 22, 2004
PubMed

Insights

This study found no clear characteristics to distinguish patients misclassified as not at risk for pressure ulcers. Improving prediction accuracy for hospital-acquired pressure ulcers remains challenging with current clinical data.

Area of Science:

  • Clinical Nursing Research
  • Patient Safety
  • Predictive Analytics in Healthcare

Background:

  • Hospitalized patients are susceptible to developing pressure ulcers.
  • A recent prediction rule can identify most at-risk patients, but up to 30% may still be misclassified.
  • Understanding misclassification is crucial for enhancing patient care and preventing hospital-acquired conditions.

Purpose of the Study:

  • To describe patients with pressure ulcers incorrectly classified as 'not at risk' by a prediction rule.
  • To compare these misclassified patients with those correctly identified as 'not at risk'.
  • To identify potential improvements in pressure ulcer risk assessment.

Main Methods:

  • A prospective cohort study was conducted in two Dutch hospitals from January 1999 to June 2000.
  • 1229 patients admitted to various wards for over 5 days were included and examined weekly.
  • Data on prognostic determinants were collected, with outcome defined as pressure ulcer grade 2 or worse.

Main Results:

  • Patients who developed pressure ulcers were more likely to experience friction and shear.
  • These patients also underwent surgery more frequently and for longer durations.
  • Malignant conditions were a more common reason for admission among patients who developed pressure ulcers.

Conclusions:

  • No specific patient characteristics clearly differentiated those with pressure ulcers misclassified as 'not at risk' from correctly classified patients.
  • Improving the prediction of pressure ulcers using existing clinical information appears difficult.
  • Further research may be needed to refine risk assessment tools for pressure ulcers.
Abstract

Related Concept Videos