Evidence map›Paper›PMID 28764785›Full record

ReviewBMC public health2017

Pathways for scaling up public health interventions.

Devon Indig, Karen Lee, Anne Grunseit, Andrew Milat, Adrian Bauman

Erratum issuedAbstract readReview
In one paragraph

Review in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 110 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 10 pooled it
–field-weighted citation impact
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

110 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  8. How effective are physical activity interventions when they are scaled-up: a systematic review.The international journal of behavioral nutrition and physical activity · 2021
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50 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Devon IndigThe Australian Prevention Partnership Centre and School of Public Health, University of Sydney, Sydney, Australia. d.indig@unsw.edu.au.ORCID 0000-0002-6741-5062
Karen LeeSchool of Public Health, University of Sydney, Sydney, Australia.
Anne GrunseitThe Australian Prevention Partnership Centre and School of Public Health, University of Sydney, Sydney, Australia.
Andrew MilatSchool of Public Health, University of Sydney, Sydney, Australia.
Adrian BaumanThe Australian Prevention Partnership Centre and School of Public Health, University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo achieve population-wide health improvement, public health interventions found effective in selected samples need to be 'scaled up' and implemented more widely. The pathways through which interventions are scaled up are not well characterised. The aim of this paper is to identify examples of public health interventions which have been scaled up and to develop a conceptual framework which quantifies and describes this process.

methodsA multi-stage international literature search was undertaken to identify examples of public health interventions in high income countries that have been scaled up or implemented at scale. Initial abstract review identified articles which met all the criteria of being a: 1) public health intervention; 2) chronic disease prevention focus; 3) program delivered at a wide geographical scale (state, national or international). Interventions were reviewed and coded into a conceptual framework pathway to document their scaling up process. For each program, an in-depth review of the identified articles was undertaken along with a broad internet based search to determine the outcomes of the dissemination process. A conceptual framework of scaling up pathways was developed that involved four stages (development, efficacy testing, real world trial and dissemination) to which the 40 programs were mapped.

resultsThe search identified 40 public health interventions that showed evidence of being scaled up. Four pathways were identified to capture the different scaling up trajectories taken which included: 'Type I - Comprehensive' (55%) which passed through all four stages, 'Type II - Efficacy omitters' (5%) which did not conduct efficacy testing, 'Type III - Trial omitters' (25%) which did not conduct a real world trial, and 'Type IV - At scale dissemination' (15%) which skipped both efficacy testing and a real world trial.

conclusionsThis is the first study to classify and quantify the potential pathways through which public health interventions in high income countries are scaled up to reach the broader population. Mapping these pathways not only demonstrates the different trajectories that occur in scaling up public health interventions, but also allows the variation across scaling up pathways to be classified. The policy and practice determinants leading to each pathway remain for future study, especially to identify the conditions under which efficacy and replication stages are missing.

Indexed as

Chronic DiseaseDelivery of Health CareHumansPublic Health AdministrationQuality ImprovementQuality of Health CareProgram implementationPublic health interventionsScaling up

Identifiers

PMID28764785
PMCPMC5540381

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.