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An Example of Systematic Searching for Guidelines to Prevent Catheter-associated Urinary Tract Infections - Part I: Using the PubMed Database

유치도뇨관 감염예방 가이드라인에 관한 체계적 문헌검색 사례 - Part I: PubMed 검색데이터베이스 이용

  • Kim, Yun-Hee (Department of Nursing, Dongshin University) ;
  • Jang, Keum-Seong (College of Nursing, Chonnam National University.Chonnam Research Institute of Nursing Science) ;
  • Chung, Kyung-Hee (Department of Nursing, Nambu University) ;
  • Choi, Ja-Yun (College of Nursing, Chonnam National University.Chonnam Research Institute of Nursing Science) ;
  • Ryu, Se-Ang (Department of Nursing, Mokpo National University) ;
  • Park, Hyunyoung (Department of Nursing, Honam University)
  • 김윤희 (동신대학교 간호학과) ;
  • 장금성 (전남대학교 간호대학.간호과학연구소) ;
  • 정경희 (남부대학교 간호학과) ;
  • 최자윤 (전남대학교 간호대학.간호과학연구소) ;
  • 류세앙 (국립목포대학교 간호학과) ;
  • 박현영 (호남대학교 간호학과)
  • Received : 2013.11.30
  • Accepted : 2014.01.05
  • Published : 2014.01.31

Abstract

Purpose: Effective literature searching is essential to support evidence-based nursing. The aim of this study was to present our recent systematic search experience to identify guidelines in PubMed for prevention of catheter-associated urinary tract infections. Methods: Five approaches to the literature search via PubMed were employed. The searches were restricted to items published from 1980 to 2010, for patients admitted to hospital, and in the English language. The search results were compared using the number of records and relevant items, and the sensitivity and precision of each search strategy. Results: The individual approaches retrieved 19-141 of records and 3-6 of relevant items. Sensitivity ranged from 37.5% to 75.0% with the highest values for simple searches and a search combining MeSH terms and free textwords with a methodological search filter. Precision varied from 4.3% to 21.7% and the highest precision was found for MeSH terms with limits feature. Conclusion: The simple search in PubMed is an appropriate way for nurses in a busy clinical practice to search the literature for evidence. However, several approaches using MeSH terms, free textwords, limits feature or methodological search filters are also required to have more efficient and better informed search results.

Keywords

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