Cited by 127Evaluation and Performance AssessmentHealth Policy Implementation ScienceAdvanced Causal Inference Techniques

Do health improvement programmes fit with MRC guidance on evaluating complex interventions?

Mackenzie, M., O'Donnell, C., Halliday, E., Sridharan, S., Platt, S.·2010·BMJ

Abstract

Although planning of new health policy could be improved to enable more robust evaluation, Mhairi Mackenzie and colleagues argue that randomised controlled trials are not always suitable or practical

Integrity signals

Registry

Crossref · 10.1136/bmj.c185

Cites

16 of 16 references verified0 citation errors · 0 not checkable

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Cites

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Authors
Mackenzie, M., O'Donnell, C., Halliday, E., Sridharan, S., & Platt, S.
Affiliations
  • University of Glasgow (GB)
  • National Health Service Scotland (GB)
  • St. Michael's Hospital (CA)
  • University of Edinburgh (GB)
Corresponding author
Mackenzie, M.
Venue
BMJ
Publisher
BMJ
Published
2010-02-01
Volume
340
Issue
feb01 1
Pages
c185-c185
ISSN
  • 0007-1447 (ISSN-L)
  • 0959-8138
  • 1468-5833
OpenAlex
W2046096770
Cited by
127
References
16
Citations by year
2025: 1 · 2023: 4 · 2022: 1 · 2021: 3 · 2020: 3 · 2019: 4 · 2017: 4 · 2016: 4 · 2015: 7 · 2014: 3 · 2013: 71 · 2012: 8
FWCI
40.40
Type
journal article
Language
en
Open access
closed
Locations
  • BMJ (publishedVersion)
  • PubMed (publishedVersion)
  • Lancaster EPrints (Lancaster University) (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
  • Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords
complex interventions, health improvement programmes, randomized controlled trials, health policy planning
MeSH terms
Delivery of Health Care, Health Policy, Health Promotion, Humans, Program Evaluation, Program Development, Practice Guidelines as Topic

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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