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Development and Testing of an Algorithm to Prevent Medical Device-Related Pressure Injuries.

Yeong-Mi Seong1, Hyejin Lee2, Ji Min Seo2

  • 1194197Pusan National University Yangsan Hospital, Yangsan,South Korea.

Inquiry : a Journal of Medical Care Organization, Provision and Financing
|October 21, 2021
PubMed
Summary
This summary is machine-generated.

An algorithm effectively reduced medical device-related pressure injuries in intensive care unit patients. This intervention demonstrated a safe approach to preventing pressure injuries, improving patient outcomes.

Keywords:
algorithmequipment and suppliesintensive care unitpressure ulcer

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Area of Science:

  • Medical Devices
  • Nursing Care
  • Patient Safety

Background:

  • Medical device-related pressure injuries (MDRPIs) are a significant concern in intensive care units (ICUs).
  • Preventive strategies are crucial to mitigate patient harm and improve outcomes.

Purpose of the Study:

  • To develop and validate an algorithm aimed at preventing MDRPIs in ICU patients.
  • To assess the effectiveness of the algorithm in reducing the incidence of MDRPIs.

Main Methods:

  • Algorithm development involved literature review, expert validation, and practical feasibility testing with 109 ICU nurses.
  • A comparative study was conducted with 324 patients in a control group and 312 patients in an experimental group using the algorithm.
  • Outcomes included skin inspection, pressure injury evaluation, and implementation of preventive nursing care.

Main Results:

  • The incidence rate of MDRPIs was 1.46 per 100 devices in the control group and 1.19 per 100 devices in the experimental group.
  • While the algorithm showed a reduction in MDRPIs, results should be interpreted cautiously due to pre-existing differences in Braden scale scores between groups.
  • The algorithm application was found to be a safe intervention.

Conclusions:

  • The developed algorithm is a safe and potentially effective tool for preventing medical device-related pressure injuries in ICU settings.
  • Further research may be needed to confirm effectiveness, especially considering baseline patient characteristics.
  • Implementation of this algorithm can contribute to enhanced patient safety and quality of care in ICUs.