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Development of a quality evaluation index system for the management of automated endoscope reprocessors: Based on the
Xiang Chen1, Chenying Zhou1, Jiaojiao Song2
1Nursing Department, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Background:
The increasing reliance on automated endoscope reprocessors (AERs) for endoscope reprocessing has highlighted gaps in management systems. This study aimed to develop a comprehensive quality evaluation index system to optimize AERs management.
Methods:
Guided by the structure-process-outcome model, the Delphi method was employed across 2 consultation rounds involving 17 experts. Indicators were developed and refined through literature reviews, hospital data analysis, and consensus-building.
Results:
Hospital data analysis identified key AERs management challenges: human errors (54.5%)-primarily improper leak detector installation (78.8% of human errors)-and component malfunctions (45.5%). The final system comprised 3 primary, 13 secondary, and 58 tertiary indicators. Expert consensus was robust (response rate: 100%; authority coefficient > 0.9; Kendall's W: P < .001). Outcome indicators linked reprocessing efficacy to clinical impacts, including microbiological pass rates and malfunction frequency.
Discussion:
The structure-process-outcome-driven system integrates structural, procedural, and outcome standards, providing actionable benchmarks to mitigate risks and enhance reliability. While validated through expert consensus, further real-world validation is needed to assess long-term applicability across diverse settings.
Conclusions:
This comprehensive quality evaluation index system offers a standardized framework for AERs management and optimization of endoscope reprocessing workflows.
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