Artigo Acesso aberto Revisado por pares

Multicentred surgical site infection surveillance using partitioning analysis

2013; Elsevier BV; Volume: 85; Issue: 4 Linguagem: Inglês

10.1016/j.jhin.2013.08.002

ISSN

1532-2939

Autores

Yumi Fujiwara, Terumasa Yamada, Yoshio Naomoto, Tomoki Yamatsuji, Yasuhiro Shirakawa, Satoshi Tanabe, Kazuhiro Noma, Toshimoto Kimura, Hiroaki Aoki, Hiroshi Matsukawa, Masashi Kimura, Yasuhiro Nonaka, Hiromi Sasaki, Toshiyuki Onoda, Y. Otawa, Munenori Takaoka, Takuya Fukazawa, Yuko Ohno, Toshiyoshi Fujiwara,

Tópico(s)

Orthopedic Infections and Treatments

Resumo

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.

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