Evidence map›Paper›PMID 28784177›Full record

ArticleHealth research policy and systems2017

Setting strategy for system change: using concept mapping to prioritise national action for chronic disease prevention.

Sonia Wutzke, Nick Roberts, Cameron Willis, Allan Best, Andrew Wilson, William Trochim

Open access · goldAbstract read
In one paragraph

Article in Health research policy and systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Sonia WutzkeThe Australian Prevention Partnership Centre, Level 13, Building 10, 235 Jones, Ultimo, NSW, 2007, Australia. sonia.wutzke@saxinstitute.org.au.ORCID http://orcid.org/0000-0001-9279-1919
Nick RobertsThe Australian Prevention Partnership Centre, Level 13, Building 10, 235 Jones, Ultimo, NSW, 2007, Australia.
Cameron WillisThe Australian Prevention Partnership Centre, Level 13, Building 10, 235 Jones, Ultimo, NSW, 2007, Australia.
Allan BestInSource Research Group, 6975 Marine Drive, West Vancouver, BC, V7W 2T4, Canada.
Andrew WilsonThe Australian Prevention Partnership Centre, Level 13, Building 10, 235 Jones, Ultimo, NSW, 2007, Australia.
William TrochimCornell University, 435 Kennedy Hall, Ithaca, NY, 14853, United States of America.
The University of Sydney · AUCornell University · USNew South Wales Department of Health · AUThe Australian Prevention Partnership Centre · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic diseases are a serious and urgent problem, requiring at-scale, multi-component, multi-stakeholder action and cooperation. Despite numerous national frameworks and agenda-setting documents to coordinate prevention efforts, Australia, like many countries internationally, is yet to substantively impact the burden from chronic disease. Improved evidence on effective strategies for the prevention of chronic disease is required. This research sought to articulate a priority set of important and feasible action domains to inform future discussion and debate regarding priority areas for chronic disease prevention policy and strategy.

methodsUsing concept mapping, a mixed-methods approach to making use of the best available tacit knowledge of recognised, diverse and well-experienced actors, and national actions to improve the prevention of chronic disease in Australia were identified and then mapped. Participants (ranging from 58 to 78 in the various stages of the research) included a national sample of academics, policymakers and practitioners. Data collection involved the generation and sorting of statements by participants. A series of visual representations of the data were then developed.

resultsA total of 95 statements were distilled into 12 clusters for action, namely Inter-Sectoral Partnerships; Systems Perspective/Action; Governance; Roles and Responsibilities; Evidence, Feedback and Learning; Funding and Incentive; Creating Demand; Primary Prevention; Social Determinants and Equity; Healthy Environments; Food and Nutrition; and Regulation and Policy. Specific areas for more immediate national action included refocusing the health system to prevention over cure, raising the profile of public health with health decision-makers, funding policy- and practice-relevant research, improving communication about prevention, learning from both global best-practice and domestic successes and failures, increasing the focus on primary prevention, and developing a long-term prevention strategy with an explicit funding commitment.

conclusionsPreventing chronic diseases and their risk factors will require at-scale, multi-component, multi-stakeholder action and cooperation. The concept mapping procedures used in this research have enabled the synthesis of views across different stakeholders, bringing both divergent and convergent perspectives to light, and collectively creating signals for where to prioritise national action. Previous national strategies for chronic disease prevention have not collated the tacit knowledge of diverse actors in the prevention of chronic disease in this structured way.

Indexed as

Concept FormationHealth PolicyQualitative ResearchAustraliaChronic DiseaseDelivery of Health CareHumansPerceptionPublic HealthRisk FactorsChronic diseaseConcept mappingHealth policyPreventionPublic healthSystems change

Identifiers

PMID28784177
PMCPMC5547536
OpenAlexW2744075820

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.