BMJ  2007;334:455-459 (3 March), doi:10.1136/bmj.39108.379965.BE

Analysis

Designing and evaluating complex interventions to improve health care

Neil C Campbell, reader1, Elizabeth Murray, director, e-health unit2, Janet Darbyshire, director3, Jon Emery, professor of general practice4, Andrew Farmer, university lecturer5, Frances Griffiths, associate professor6, Bruce Guthrie, professor of primary care7, Helen Lester, professor of primary care8, Phil Wilson, senior clinical research fellow9, Ann Louise Kinmonth, professor of general practice10

1 Department of General Practice and Primary Care, University of Aberdeen, Foresterhill Health Centre, Aberdeen AB25 2AY, 2 Department of Primary Care and Population Sciences, University College London, London N19 5LW, 3 MRC Clinical Trials Unit, London NW1 2DA, 4 School of Primary, Aboriginal and Rural Health Care, University of Western Australia, Claremont, Australia , 5 Department of Primary Health Care, University of Oxford, Oxford OX3 7LF, 6 Health Sciences Research Institute, University of Warwick, Coventry CV4 7AL, 7 Tayside Centre for General Practice, University of Dundee, Dundee DD2 4BF, 8 National Primary Care Research and Development Centre, Manchester M13 9PL, 9 Section of General Practice and Primary Care, University of Glasgow, Glasgow G12 9LX, 10 General Practice and Primary Care Research Unit, University of Cambridge, Cambridge CB2 2SR

Correspondence to: N Campbell n.campbell@abdn.ac.uk

Determining the effectiveness of complex interventions can be difficult and time consuming. Neil C Campbell and colleagues explain the importance of ground work in getting usable results

The first 150 words of the full text of this article appear below.

Complex interventions are "built up from a number of components, which may act both independently and interdependently."1 2 Many health service activities should be considered as complex. Evaluating complex interventions can pose a considerable challenge and requires a substantial investment of time. Unless the trials illuminate processes and mechanisms they often fail to provide useful information. If the result is negative, we are left wondering whether the intervention is inherently ineffective (either because the intervention was inadequately developed or because all similar interventions are ineffective), whether it was inadequately applied or applied in an inappropriate context, or whether the trial used an inappropriate design, comparison groups or outcomes. If there is a positive effect, it can be hard to judge how the results of the trial might be applied to a different context (box 1).


The NHS Plan in 2000 suggested that by 2004, primary care trusts in England should employ . . . [Full text of this article]



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