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Evaluating a community-based public health intervention using a complex systems approach

Overview of attention for article published in Journal of Public Health, September 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
9 X users

Readers on

mendeley
96 Mendeley
citeulike
1 CiteULike
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Article details
Title
Evaluating a community-based public health intervention using a complex systems approach
Published in
Journal of Public Health, September 2017
DOI 10.1093/pubmed/fdx117
Pubmed ID
Authors
Abstract

This article outlines the methods being used to evaluate a community-based public health intervention. This evaluation approach recognizes that not only is the intervention, Healthy Families NZ, complex, but the social systems within which it is being implemented are complex. To address challenges related to complexity, we discuss three developing areas within evaluation theory and apply them to an evaluation case example. The example, Healthy Families NZ, aims to strengthen the prevention system in Aotearoa/New Zealand to prevent chronic disease in 10 different geographic areas. Central to the evaluation design is the comparative case method which recognizes that emergent outcomes are the result of 'configurations of causes'. 'Thick', mixed-data, case studies are developed, with each case considered a view of a complex system. Qualitative Comparative Analysis is the analytical approach used to systematically compare the cases over time. This article describes an approach to evaluating a community-based public health intervention that considers the social systems in which the initiative is being implemented to be complex. The evaluation case example provides a unique opportunity to operationalize and test these methods, while extending their more frequent use within other fields to the field of public health.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 96 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 %
Unknown 96 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 14 15%
Student > Ph. D. Student 12 13%
Student > Master 11 11%
Lecturer 9 9%
Student > Bachelor 6 6%
Other 17 18%
Unknown 27 28%
Readers by discipline
Readers by discipline Count As %
Social Sciences 16 17%
Nursing and Health Professions 15 16%
Medicine and Dentistry 11 11%
Agricultural and Biological Sciences 5 5%
Psychology 4 4%
Other 10 10%
Unknown 35 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 08 June 2021.
All research outputs
#2,450,171
of 28,832,041 outputs
Outputs from Journal of Public Health
#400
of 2,608 outputs
Outputs of similar age
#40,282
of 330,864 outputs
Outputs of similar age from Journal of Public Health
#13
of 45 outputs
Altmetric has tracked 28,832,041 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 84% 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 330,864 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 87% of its contemporaries.
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 has gotten more attention than average, scoring higher than 71% of its contemporaries.