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The implementation of Health in All Policies initiatives: a systems framework for government action

Overview of attention for article published in Health Research Policy and Systems, March 2018
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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)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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1 policy source
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28 X users
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1 Facebook page

Citations

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72 Dimensions

Readers on

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253 Mendeley
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Title
The implementation of Health in All Policies initiatives: a systems framework for government action
Published in
Health Research Policy and Systems, March 2018
DOI 10.1186/s12961-018-0295-z
Pubmed ID
Authors

Ketan Shankardass, Carles Muntaner, Lauri Kokkinen, Faraz Vahid Shahidi, Alix Freiler, Goldameir Oneka, Ahmed M. Bayoumi, Patricia O’Campo

Abstract

There has been a renewed interest in broadening the research agenda in health promotion to include action on the structural determinants of health, including a focus on the implementation of Health in All Policies (HiAP). Governments that use HiAP face the challenge of instituting governance structures and processes to facilitate policy coordination in an evidence-informed manner. Due to the complexity of government institutions and the policy process, systems theory has been proposed as a tool for evaluating the implementation of HiAP. Our multiple case study research programme (HiAP Analysis using Realist Methods On International Case Studies - HARMONICS) has relied on systems theory and realist methods to make sense of how and why the practices of policy-makers (including politicians and civil servants) from specific institutional environments (policy sectors) has either facilitated or hindered the implementation of HiAP. Herein, we present a systems framework for the implementation of HiAP based on our experience and empirical findings in studying this process. We describe a system of 14 components within three subsystems of government. Subsystems include the executive (heads of state and their appointed political elites), intersectoral (the milieu of policy-makers and experts working with governance structures related to HiAP) and intrasectoral (policy-makers within policy sectors). Here, HiAP implementation is a process involving interactions between subsystems and their components that leads to the emergence of implementation outcomes, as well as effects on the system components themselves. We also describe the influence of extra-governmental systems, including (but not limited to) the academic sector, third sector, private sector and intergovernmental sector. Finally, we present a case study that applies this framework to understand the implementation of HiAP - the Health 2015 Strategy - in Finland, from 2001 onward. This framework is useful for helping to explain how, why and under what circumstances HiAP has been successfully and unsuccessfully implemented in a sustainable manner. It serves as a tool for researchers to study this process, and for policy-makers and other public health actors to manage this process.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 253 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 15%
Student > Master 36 14%
Student > Ph. D. Student 30 12%
Other 22 9%
Student > Doctoral Student 13 5%
Other 48 19%
Unknown 66 26%
Readers by discipline Count As %
Social Sciences 49 19%
Medicine and Dentistry 33 13%
Nursing and Health Professions 31 12%
Business, Management and Accounting 12 5%
Psychology 6 2%
Other 32 13%
Unknown 90 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 17 January 2024.
All research outputs
#2,090,957
of 25,728,350 outputs
Outputs from Health Research Policy and Systems
#252
of 1,407 outputs
Outputs of similar age
#44,165
of 352,752 outputs
Outputs of similar age from Health Research Policy and Systems
#13
of 32 outputs
Altmetric has tracked 25,728,350 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 1,407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one has done well, scoring higher than 82% 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 352,752 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 32 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 59% of its contemporaries.