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A spatial equity analysis of a public health intervention: a case study of an outdoor walking group provider within local authorities in England

Overview of attention for article published in International Journal for Equity in Health, October 2015
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Title
A spatial equity analysis of a public health intervention: a case study of an outdoor walking group provider within local authorities in England
Published in
International Journal for Equity in Health, October 2015
DOI 10.1186/s12939-015-0256-x
Pubmed ID
Authors

Sarah Hanson, Andy Jones

Abstract

If an intervention is not well spatially targeted, appropriate levels of uptake, efficacy, long-term compliance and improved health outcomes are unlikely to be attained. Effective health interventions should seek to achieve not only absolute improvements in health but also to reduce inequity. There is often a disparity whereby preventative interventions are more likely to be successful amongst the more affluent, a process which has been coined the 'inverse prevention law'. Physical inactivity is known to be socially patterned and disproportionately prevalent in disadvantaged communities yet there is a lack of clear evidence on which interventions have the potential to influence inequity. Walking groups have been found to have multiple health benefits and increase physical activity. In England the major facilitator is a not for profit organisation which has 70,000 regular walkers and is lay led with 10,000 volunteers. The aim of this study was to evaluate the extent to which walking groups operated in those places with the greatest health need and whether consequently the scheme has the potential to influence health inequity. The work used a spatial approach whereby geographical variations in walking group provision within the 326 local authorities in England (mean population 163,410) were linked to health and socio-economic measures of population need. Generally, greater need was not associated with higher provision of the walking group intervention. Although the magnitude of differences was small, provision of the intervention tended to be poorest in those local authorities with the greatest health need, as measured by our indicators. Without targeting those areas with greater health and socio-economic need, there is a concern that walking groups may not be set up in areas that need them most. There is therefore a potential that this intervention could, albeit in a small way, widen inequity between local authorities. However small-scale and well-intentioned, interventions need to be evaluated for their potential impact on inequity.

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The data shown below were collected from the profiles of 2 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 20%
Student > Ph. D. Student 9 16%
Student > Bachelor 5 9%
Researcher 4 7%
Other 3 5%
Other 9 16%
Unknown 14 25%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Social Sciences 9 16%
Nursing and Health Professions 8 15%
Psychology 4 7%
Arts and Humanities 3 5%
Other 7 13%
Unknown 15 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 November 2015.
All research outputs
#15,349,796
of 22,832,057 outputs
Outputs from International Journal for Equity in Health
#1,536
of 1,904 outputs
Outputs of similar age
#166,883
of 284,653 outputs
Outputs of similar age from International Journal for Equity in Health
#36
of 45 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,904 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 284,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.