Multicentred surgical site infection surveillance using partitioning analysis

Y. Fujiwara, T. Yamada, Y. Naomoto, T. Yamatsuji, Y. Shirakawa, S. Tanabe, K. Noma, T. Kimura, H. Aoki, H. Matsukawa, M. Kimura, Y. Nonaka, H. Sasaki, T. Onoda, Y. Otawa, M. Takaoka, T. Fukazawa, Y. Ohno, T. Fujiwara

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Background: Surgical site infection (SSI) is an ongoing major public health problem throughout the world that increases healthcare costs. Utilizing a methodology that can help clinicians to continuously collect data about SSIs, analyse it and implement the feedback into routine hospital practice has been identified as a top national priority in Japan. Aim: To conduct an intervention study through 'operations research' using partitioning at multiple facilities, and to reduce the incidence and consequences of SSI. Methods: The Setouchi SSI Surveillance Group, which consists of seven institutes, started SSI surveillance in 2006. Until May of 2008, there were four surveillance periods (A-D). In all, 3089 patients underwent gastrointestinal surgery and were followed up for 30 days after their operations. Twenty-six factors that have been reported to be related to SSI were evaluated for all patients. The top three factors from each surveillance period were determined and then actual practice improvements were planned for each subsequent period. Findings: The total SSI occurrence was 6.9% for period A, 6.3% for period B, 6.4% for period C and 3.9% for period D. Comparing periods A and D, there was a statistical significance in the decrease of SSI occurrence (P=0.012). Conclusion: Using the results and partitioning analysis of active SSI surveillance to contribute to action plans for improving clinical practice was effective in significantly reducing SSIs.

Original languageEnglish
Pages (from-to)282-288
Number of pages7
JournalJournal of Hospital Infection
Volume85
Issue number4
DOIs
Publication statusPublished - Dec 1 2013

Keywords

  • Active surveillance
  • Partitioning analysis
  • Surgical site infection

ASJC Scopus subject areas

  • Microbiology (medical)
  • Infectious Diseases

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    Fujiwara, Y., Yamada, T., Naomoto, Y., Yamatsuji, T., Shirakawa, Y., Tanabe, S., Noma, K., Kimura, T., Aoki, H., Matsukawa, H., Kimura, M., Nonaka, Y., Sasaki, H., Onoda, T., Otawa, Y., Takaoka, M., Fukazawa, T., Ohno, Y., & Fujiwara, T. (2013). Multicentred surgical site infection surveillance using partitioning analysis. Journal of Hospital Infection, 85(4), 282-288. https://doi.org/10.1016/j.jhin.2013.08.002