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Beyond NIMBYs and NOOMBYs: what can wind farm controversies teach us about public involvement in hospital closures?

Overview of attention for article published in BMC Health Services Research, December 2015
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Title
Beyond NIMBYs and NOOMBYs: what can wind farm controversies teach us about public involvement in hospital closures?
Published in
BMC Health Services Research, December 2015
DOI 10.1186/s12913-015-1172-x
Pubmed ID
Authors

Ellen Stewart, Mhairi Aitken

Abstract

Many policymakers, researchers and commentators argue that hospital closures are necessary as health systems adapt to new technological and financial contexts, and as population health needs in developed countries shift. However closures are often unpopular with local communities. Previous research has characterised public opposition as an obstacle to change. Public opposition to the siting of wind farms, often described as NIMBYism (Not In My Back Yard), is a useful comparator issue to the perceived NOOMBYism (Not Out Of My Back Yard) of hospital closure protestors. The analysis of public attitudes to wind farms has moved from a fairly crude characterisation of the 'attitude-behaviour gap' between publics who support the idea of wind energy, but oppose local wind farms, to empirical, often qualitative, studies of public perspectives. These have emphasised the complexity of public attitudes, and revealed some of the 'rational' concerns which lie beneath protests. Research has also explored processes of community engagement within the wind farm decision-making process, and the crucial role of trust between communities, authorities, and developers. Drawing on what has been learnt from studies of opposition to wind farms, we suggest a range of questions and approaches to explore public perspectives on hospital closure more thoroughly. Understanding the range of public responses to service change is an important first step in resolving the practical dilemma of effecting health system transformation in a democratic fashion.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Student > Master 6 15%
Student > Doctoral Student 5 13%
Researcher 5 13%
Student > Bachelor 4 10%
Other 2 5%
Unknown 10 26%
Readers by discipline Count As %
Social Sciences 5 13%
Environmental Science 4 10%
Nursing and Health Professions 3 8%
Psychology 3 8%
Medicine and Dentistry 3 8%
Other 6 15%
Unknown 15 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 03 December 2021.
All research outputs
#3,730,269
of 22,834,308 outputs
Outputs from BMC Health Services Research
#1,657
of 7,638 outputs
Outputs of similar age
#62,968
of 387,566 outputs
Outputs of similar age from BMC Health Services Research
#15
of 100 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,638 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done well, scoring higher than 78% 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 387,566 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.