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Effectiveness of the Semi-Automated Post-ANaesthesia Discharge Assessment Tool: A Pre-Post Study Using Propensity

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Summary
This summary is machine-generated.

The Post-ANaesthesia Discharge Assessment (PANDA) tool significantly reduced post-anaesthesia care unit length of stay by 16 minutes. Nurses found the PANDA tool highly acceptable and feasible for improving patient flow.

Keywords:
discharge assessmentdischarge confidencedischarge efficiencylength of stayoperating room holdpostanaesthesia care unit

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Area of Science:

  • Anesthesiology
  • Health Services Research

Background:

  • Post-anaesthesia care unit (PACU) workflow efficiency can be improved by discharge readiness assessment tools.
  • Previous studies on such tools have yielded inconsistent results regarding PACU length of stay (LOS).

Purpose of the Study:

  • To evaluate the impact of the Post-ANaesthesia Discharge Assessment (PANDA) tool on PACU LOS.
  • To assess the effect of PANDA on operating room (OR) holds and nurses' confidence in discharge decisions.
  • To determine nurses' perceptions of the PANDA tool's implementation.

Main Methods:

  • A pre-post study design with a propensity-matched historical control group was employed.
  • The semi-automatic PANDA tool was implemented in a primary-level hospital to support PACU discharge decisions.
  • Median PACU LOS was compared using propensity score matching and weighted linear regression; OR holds were analyzed over 20 days; a nurse survey assessed confidence and perceptions.

Main Results:

  • Median PACU LOS decreased from 114 minutes to 103 minutes post-PANDA implementation, a statistically significant reduction of 16 minutes.
  • There were insufficient OR holds for comparison.
  • Nurses' confidence in discharge decisions remained unchanged, but the PANDA tool received high ratings for acceptability, appropriateness, compatibility, and feasibility.

Conclusions:

  • The PANDA tool significantly decreased PACU LOS and was well-received by nurses.
  • PANDA may optimize clinical practice by streamlining PACU workflows, supporting decision-making, and promoting standardization.
  • Reducing PACU LOS can improve patient flow and capacity planning in high-volume settings.