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How Do You Modernize a Health Service? A Realist Evaluation of Whole‐Scale Transformation in London

Overview of attention for article published in Milbank Quarterly, June 2009
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
6 policy sources
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5 X users

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615 Mendeley
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2 CiteULike
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Article details
Title
How Do You Modernize a Health Service? A Realist Evaluation of Whole‐Scale Transformation in London
Published in
Milbank Quarterly, June 2009
DOI 10.1111/j.1468-0009.2009.00562.x
Pubmed ID
Authors
Abstract

Large-scale, whole-systems interventions in health care require imaginative approaches to evaluation that go beyond assessing progress against predefined goals and milestones. This project evaluated a major change effort in inner London, funded by a charitable donation of approximately $21 million, which spanned four large health care organizations, covered three services (stroke, kidney, and sexual health), and sought to "modernize" these services with a view to making health care more efficient, effective, and patient centered. This organizational case study draws on the principles of realist evaluation, a largely qualitative approach that is centrally concerned with testing and refining program theories by exploring the complex and dynamic interaction among context, mechanism, and outcome. This approach used multiple data sources and methods in a pragmatic and reflexive manner to build a picture of the case and follow its fortunes over the three-year study period. The methods included ethnographic observation, semistructured interviews, and scrutiny of documents and other contemporaneous materials. As well as providing ongoing formative feedback to the change teams in specific areas of activity, we undertook a more abstract, interpretive analysis, which explored the context-mechanism-outcome relationship using the guiding question "what works, for whom, under what circumstances?" In this example of large-scale service transformation, numerous projects and subprojects emerged, fed into one another, and evolved over time. Six broad mechanisms appeared to be driving the efforts of change agents: integrating services across providers, finding and using evidence, involving service users in the modernization effort, supporting self-care, developing the workforce, and extending the range of services. Within each of these mechanisms, different teams chose widely differing approaches and met with differing success. The realist analysis of the fortunes of different subprojects identified aspects of context and mechanism that accounted for observed outcomes (both intended and unintended). This study was one of the first applications of realist evaluation to a large-scale change effort in health care. Even when an ambitious change program shifts from its original goals and meets unforeseen challenges (indeed, precisely because the program morphs and adapts over time), realist evaluation can draw useful lessons about how particular preconditions make particular outcomes more likely, even though it cannot produce predictive guidance or a simple recipe for success. Noting recent calls by others for the greater use of realist evaluation in health care, this article considers some of the challenges and limitations of this method in the light of this experience and suggests that its use will require some fundamental changes in the worldview of some health services researchers.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 615 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 13 2%
Canada 3 <1%
United States 2 <1%
India 2 <1%
South Africa 1 <1%
Uganda 1 <1%
Sweden 1 <1%
Norway 1 <1%
Netherlands 1 <1%
Other 7 1%
Unknown 583 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 113 18%
Researcher 108 18%
Student > Master 93 15%
Other 30 5%
Professor > Associate Professor 28 5%
Other 130 21%
Unknown 113 18%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 134 22%
Social Sciences 126 20%
Psychology 46 7%
Business, Management and Accounting 45 7%
Nursing and Health Professions 44 7%
Other 74 12%
Unknown 146 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2025.
All research outputs
#2,281,395
of 34,575,175 outputs
Outputs from Milbank Quarterly
#362
of 1,173 outputs
Outputs of similar age
#7,822
of 180,374 outputs
Outputs of similar age from Milbank Quarterly
#3
of 6 outputs
Altmetric has tracked 34,575,175 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,173 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.2. This one has gotten more attention than average, scoring higher than 68% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 180,374 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.