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Cited by 340

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Understanding the conditions for improvement: research to discover which context influences affect improvement success

Open access
Øvretveit, John·2011·BMJ Quality & Safety

Abstract

Context can be defined as all factors that are not part of a quality improvement intervention itself. More research indicates which aspects are ‘conditions for improvement’, which influence improvement success. However, little is known about which conditions are most important, whether these are different for different quality interventions or whether some become less or more important at different times in carrying out an improvement. Knowing more about these conditions could help speed up and spread improvements and develop the science. This paper proposes ways to build knowledge about the conditions needed for different changes, and to create conditional-attribution explanations to provide qualified generalisations. It describes theory-based, non-experimental research designs. It also suggests that ‘practical improvers’ can make their changes more effective by reflecting on and revising their own ‘assumption-theories’ about the conditions which will help and hinder the improvements they aim to implement.

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Crossref · 10.1136/bmjqs.2010.045955

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Metadata

Authors
Øvretveit, J.
Venue
BMJ Quality & Safety
Publisher
BMJ
Published
2011-03-30
Volume
20
Issue
Suppl 1
Pages
i18-i23
ISSN
  • 1475-3898 (ISSN-L)
  • 2044-5415
  • 2044-5423
OpenAlex
W2147580218
Cited by
340
References
47
FWCI
38.13
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Understanding the conditions for improvement: research to discover which context influences affect improvement success. https://app.cochat.ai/papers/10.1136/bmjqs.2010.045955
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Øvretveit, J. (2011). Understanding the conditions for improvement: research to discover which context influences affect improvement success. BMJ Quality & Safety. https://doi.org/10.1136/bmjqs.2010.045955

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.