The pre-analytical process management status and influencing factors of laboratory test before prescribing

Feiyang Zheng1, Kang Wang2, Qianning Wang1

  • 1School of Medicine and Health Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.

Abstract

Insights

Pre-analytical process errors in laboratory testing impact antimicrobial prescribing. Improving training and management systems in hospitals can enhance antimicrobial stewardship and reduce errors.

Area of Science:

  • Clinical Laboratory Science
  • Infectious Disease Management
  • Antimicrobial Stewardship

Background:

  • Laboratory testing is critical for antimicrobial prescribing decisions.
  • Pre-analytical process (PP) errors significantly affect appropriate antimicrobial use.
  • The current status and influencing factors of PP management in hospitals remain unclear.

Purpose of the Study:

  • To investigate the current situation of the pre-analytical process in hospitals.
  • To identify factors influencing the management of the pre-analytical process.
  • To provide insights for improving antimicrobial stewardship through better laboratory practices.

Main Methods:

  • A cross-sectional survey was conducted in 109 hospitals in Central China.
  • Data on antimicrobial susceptibility test (AST) request rates and pre-analytical process indicators were collected.
  • Fractional probit regression analysis was used to determine influencing factors.

Main Results:

  • Significant differences in antimicrobial use rates were observed between secondary and tertiary hospitals.
  • Low zero obstacle rates were found in specimen collection (27.3%), transportation (19.4%), and inspection feedback (61.7%).
  • Training, performance appraisal, guidance, and information technology were identified as key influencing factors for antimicrobial use.

Conclusions:

  • Substantial disparities exist in AST request rates between hospital types.
  • Pre-analytical processes in specimen handling require significant improvement.
  • Training and performance appraisal positively influence pre-analytical processes, supported by guidance and information technology.

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