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How to improve collaboration between the public health sector and other policy sectors to reduce health inequalities? – A study in sixteen municipalities in the Netherlands

Overview of attention for article published in International Journal for Equity in Health, June 2016
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

policy
1 policy source
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36 X users
facebook
2 Facebook pages

Citations

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52 Dimensions

Readers on

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155 Mendeley
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Title
How to improve collaboration between the public health sector and other policy sectors to reduce health inequalities? – A study in sixteen municipalities in the Netherlands
Published in
International Journal for Equity in Health, June 2016
DOI 10.1186/s12939-016-0384-y
Pubmed ID
Authors

Ilse Storm, Frank den Hertog, Hans van Oers, Albertine J. Schuit

Abstract

The causes of health inequalities are complex. For the reduction of health inequalities, intersectoral collaboration between the public health sector and both social policy sectors (e.g. youth affairs, education) and physical policy sectors (e.g. housing, spatial planning) is essential, but in local practice difficult to realize. The aim of this study was to examine the collaboration between the sectors in question more closely and to identify opportunities for improvement. A qualitative descriptive analysis of five aspects of collaboration within sixteen Dutch municipalities was performed to examine the collaboration between the public health sector and other policy sectors: 1) involvement of the sectors in the public health policy network, 2) harmonisation of objectives, 3) use of policies by the relevant sectors, 4) formalised collaboration, and 5) previous experience. Empirical data on these collaboration aspects were collected based on document analysis, questionnaires and interviews. The study found that the policy workers of social sectors were more involved in the public health network and more frequently supported the objectives in the field of health inequality reduction. Both social policy sectors and physical policy sectors used policies and activities to reduce health inequalities. More is done to influence the determinants of health inequality through policies aimed at lifestyle and social setting than through policies aimed at socioeconomic factors and the physical environment. Where the physical policy sectors are involved in the public health network, the collaboration follows a very similar pattern as with the social policy sectors. All sectors recognise the importance of good relationships, positive experiences, a common interest in working together and coordinated mechanisms. This study shows that there is scope for improving collaboration in the field of health inequality reduction between the public health sector and both social policy sectors and physical policy sectors. Ways in which improvement could be realised include involving physical policy sectors in the network, pursuing widely supported policy goals, making balanced efforts to influence determinants of health inequalities, and increasing the emphasis on a programmatic approach.

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Canada 1 <1%
Unknown 153 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 14%
Student > Master 21 14%
Student > Ph. D. Student 16 10%
Student > Doctoral Student 13 8%
Student > Bachelor 11 7%
Other 37 24%
Unknown 36 23%
Readers by discipline Count As %
Social Sciences 36 23%
Medicine and Dentistry 23 15%
Nursing and Health Professions 18 12%
Business, Management and Accounting 7 5%
Unspecified 5 3%
Other 17 11%
Unknown 49 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 28 September 2023.
All research outputs
#1,505,731
of 25,287,709 outputs
Outputs from International Journal for Equity in Health
#217
of 2,200 outputs
Outputs of similar age
#27,394
of 361,819 outputs
Outputs of similar age from International Journal for Equity in Health
#8
of 49 outputs
Altmetric has tracked 25,287,709 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done particularly well, scoring higher than 90% 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 361,819 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 92% of its contemporaries.
We're also able to compare this research output to 49 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.