You are here

Article Text

Article menu

Download PDFPDF

The structure of improvement knowledge
Reconciling complexity and classification in quality improvement research
  1. Laura Leviton
  1. Correspondence to Ms Laura C Leviton, The Robert Wood Johnson Foundation, Route 1 and College Road East, Box 2316, Princeton, NJ 08543-2316, USA; llevito{at}rwjf.org

Abstract

Quality improvement (QI) research is often hampered by the complexity of the systems and context in which QI is attempted. Better classification of QI can alleviate this problem and help to build generalisable knowledge.

  • Complexity
  • effectiveness
  • outcome
  • research
  • training

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

https://doi.org/10.1136/bmjqs.2010.046375

Statistics from Altmetric.com

    Request Permissions

    If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

    View Full Text

    Footnotes

    • Competing interests None.

    • Provenance and peer review Not commissioned; externally peer reviewed.