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2 results

  • 3 - Developing a search strategy, locating studies and electronic databases

    • By Tom Pedersen, The Cochrane Anaesthesia Review Group, Centre of Head-Orthopaedics, University of Copenhagen, Rigshospitalet, Copenhagen, Denmark
  • Edited by Ann Møller, KAS Herlev, Copenhagen, Tom Pedersen, Rigshospitalet, Copenhagen
  • Book:
    Evidence-based Anaesthesia and Intensive Care
    Published online:
    05 September 2009
    Print publication:
    09 October 2006, pp 7-18

  • Summary

    This chapter shows how to conduct a comprehensive, objective and reproducible search for studies. It is always necessary to strike a balance between comprehensiveness and precision when developing a search strategy. Developing a search strategy is an iterative process in which the terms that are used are modified, based on what has already been retrieved. An electronic search strategy should generally have three sets of terms: terms to search for the health condition of interest; terms to search for the intervention(s) evaluated and terms to search for the types of study design to be included. Searches of electronic databases are generally the easiest and least time-consuming way to identify an initial set of relevant reports. The chapter discusses how and where the reviewers should look for studies that may be eligible for inclusion such as The Cochrane Library, MEDLINE, EMBASE and other relevant databases that identify appropriate MeSH terms.

  • Electronic database searching skills for nurse prescribers

  • Peter Stokes, BA Hons
  • Journal:
    Nurse Prescriber / Volume 1 / Issue 10 / October 2004
    Published online by Cambridge University Press:
    22 June 2006, pp. 1-6
    Print publication:
    October 2004

  • Summary

    The increased emphasis on evidence-based practice within healthcare has compelled nurses to obtain up to date research information to assist them in clinical decision-making. Electronic databases are a crucial resource for finding this information, but a successful search strategy is vital if relevant information is not to be missed. This article highlights the key steps in the searching process with examples from three databases on the OVID and Dialog Datastar platforms.