Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 32 min ago
Peer-reviewedCC BY 4.0Frontiers in Public Health

Evidence-based preprocessing improvement bundle for surgical instruments: reducing surgical infection risks via quality improvement

  1. 1Department of Sterile Processing Nursing, West China Second University Hospital, Sichuan University
  2. 2West China School of Nursing, Sichuan University
  3. 3Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Sichuan University

Abstract

Introduction: Inadequate preprocessing of surgical instruments can leave biofilm residue, creating potential risks during instrument reprocessing and increasing the risk of healthcare-associated infections, thereby compromising patient safety and healthcare quality. This study aimed to develop a standardized surgical instrument preprocessing protocol based on evidence-based practice and validate its effectiveness in improving instrument preprocessing quality and central sterile supply department (CSSD) staff’s knowledge of nosocomial infection prevention and control and increasing their compliance with preprocessing criteria.

Methods: Guided by the Joanna Briggs Institute (JBI) model of evidence-based healthcare, this study summarized the best evidence for surgical instrument preprocessing, analyzed implementation barriers in clinical practice, and formulated standardized audit criteria and intervention strategies for surgical instrument preprocessing. A one-group pretest-posttest study was conducted to assess compliance with audit criteria in preprocessing procedures, rate of surgical instruments returned to the decontamination area for initial re-cleaning, and CSSD staff’s knowledge of nosocomial infection prevention and control.

Results: After applying the evidence in practice, 10 of 20 audit criteria achieved a 100% compliance rate. The rate of surgical instruments returned to the decontamination area for initial re-cleaning dropped from 0.67 to 0.085% (χ ² = 3512.527; p < 0.001; absolute risk difference = 0.58%, with 95% confidence interval (CI) of 0.56–0.60%; risk ratio = 7.93, with a 95% CI of 7.31–8.60). CSSD staff’s mean scores for knowledge of nosocomial infection prevention and control increased from 58.06 ± 9.097 to 95.83 ± 3.930 ( t = 22.520, p < 0.001).

Conclusion: The intervention, based on the JBI evidence-based model for improving the quality of surgical instrument preprocessing, could standardize instrument preprocessing procedures, reduce the proportion of surgical instruments returned to the decontamination area for initial re-cleaning, and improve CSSD staff’s theoretical knowledge of instrument preprocessing. This study can provide evidence to support quality control in surgical instrument preprocessing and contribute to the prevention and control of nosocomial infections.

Related

  1. Neonatal mpox in Pakistan: a case study in infection prevention and control gaps and opportunities for improvement.
    Mariyam Sarfraz, Nadia Noreen, Nasim Akhtar
    IJID regionsPeer-reviewedCC BYFull textMicrobiologyEurope PMC
  2. Cradle-to-gate life cycle assessment of pasteurized milk production in Uzbekistan identifies environmental hotspots and improvement opportunities
    Narges Samanian, Mohammad Ali Hesarinejad, Ulugbek Sadullayev +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textEcologyCrossref
  3. 1085 Educational intervention to increase utilization of ICD-10 codes for immune-related adverse events: a quality improvement initiative
    Aliyah Pabani, Asha E Kodan
    Journal for ImmunoTherapy of CancerPeer-reviewedCC BYFull textImmunologyOncologyDOAJ
  4. Root Exudate Chemotypes and Soil Improvement in Orchard Green Manures: Species-Specific Associations Reflecting Family-Level Phylogenetic Differences
    Minghao Sun, Xing Shen, Yongjie Liu +2
    Plants (Basel, Switzerland)Peer-reviewedCC BYFull textPlant biologyEurope PMC
  5. Plant Responses to Heavy Metal Stress: Molecular Mechanisms, Transcriptomic Regulation, and Multi-Omics Integration in Crop Improvement
    Zagipa Sapakhova, Dias Daurov, Ainash Daurova +7
    Plants (Basel, Switzerland)Peer-reviewedCC BYFull textPlant biologyEurope PMC
BibTeX
@article{hu2026evidencebased,
  title = {{Evidence-based preprocessing improvement bundle for surgical instruments: reducing surgical infection risks via quality improvement}},
  author = {Ruixue Hu and Wei Pan and Liangying Yi and Juan Hu and Hongxia Zhang and Yanhua Chen},
  journal = {Frontiers in Public Health},
  year = {2026},
  month = oct,
  doi = {10.3389/fpubh.2026.1930642},
  url = {https://www.frontiersin.org/articles/10.3389/fpubh.2026.1930642/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Evidence-based preprocessing improvement bundle for surgical instruments: reducing surgical infection risks via quality improvement
AU  - Ruixue Hu
AU  - Wei Pan
AU  - Liangying Yi
AU  - Juan Hu
AU  - Hongxia Zhang
AU  - Yanhua Chen
PY  - 2026
DA  - 2026/10/27
JO  - Frontiers in Public Health
DO  - 10.3389/fpubh.2026.1930642
UR  - https://www.frontiersin.org/articles/10.3389/fpubh.2026.1930642/full
AB  - Introduction: Inadequate preprocessing of surgical instruments can leave biofilm residue, creating potential risks during instrument reprocessing and increasing the risk of healthcare-associated infections, thereby compromising patient safety and healthcare quality. This study aimed to develop a standardized surgical instrument preprocessing protocol based on evidence-based practice and validate its effectiveness in improving instrument preprocessing quality and central sterile supply department (CSSD) staff’s knowledge of nosocomial infection prevention and control and increasing their compliance with preprocessing criteria.  Methods: Guided by the Joanna Briggs Institute (JBI) model of evidence-based healthcare, this study summarized the best evidence for surgical instrument preprocessing, analyzed implementation barriers in clinical practice, and formulated standardized audit criteria and intervention strategies for surgical instrument preprocessing. A one-group pretest-posttest study was conducted to assess compliance with audit criteria in preprocessing procedures, rate of surgical instruments returned to the decontamination area for initial re-cleaning, and CSSD staff’s knowledge of nosocomial infection prevention and control.  Results: After applying the evidence in practice, 10 of 20 audit criteria achieved a 100% compliance rate. The rate of surgical instruments returned to the decontamination area for initial re-cleaning dropped from 0.67 to 0.085% (χ ² = 3512.527; p < 0.001; absolute risk difference = 0.58%, with 95% confidence interval (CI) of 0.56–0.60%; risk ratio = 7.93, with a 95% CI of 7.31–8.60). CSSD staff’s mean scores for knowledge of nosocomial infection prevention and control increased from 58.06 ± 9.097 to 95.83 ± 3.930 ( t = 22.520, p < 0.001).  Conclusion: The intervention, based on the JBI evidence-based model for improving the quality of surgical instrument preprocessing, could standardize instrument preprocessing procedures, reduce the proportion of surgical instruments returned to the decontamination area for initial re-cleaning, and improve CSSD staff’s theoretical knowledge of instrument preprocessing. This study can provide evidence to support quality control in surgical instrument preprocessing and contribute to the prevention and control of nosocomial infections.
SN  - 2296-2565
ER  -