Evidence map›Paper›PMID 42857717›Full record

ArticleEvaluation (London, England : 1995)2026

Systems-informed approaches to evaluating population health interventions: Reflections from three case studies.

Miriam Alvarado, Elizabeth McGill, Natasha Sobers, Stephanie Whiteman, Jean Adams, Madhuvanti M Murphy

Abstract read
In one paragraph

Article in Evaluation (London, England : 1995), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Miriam AlvaradoIMS Epidemiology, University of Cambridge School of Clinical Medicine, UK.ORCID https://orcid.org/0000-0003-2864-9410
Elizabeth McGillDepartment of Public Health, Environments and Society, Faculty of Public Health and Policy, London School of Hygiene & Tropical Medicine, UK.ORCID https://orcid.org/0000-0002-3841-8467
Natasha SobersThe George Alleyne Chronic Disease Research Centre, University of the West Indies, Bridgetown, Barbados.ORCID https://orcid.org/0000-0002-9444-0706
Stephanie WhitemanDepartment of Pre-Clinical and Health Sciences, Faculty of Medical Sciences, University of the West Indies, Bridgetown, Barbados.ORCID https://orcid.org/0009-0002-7901-7907
Jean AdamsIMS Epidemiology, University of Cambridge School of Clinical Medicine, UK.ORCID https://orcid.org/0000-0002-5733-7830
Madhuvanti M MurphyThe George Alleyne Chronic Disease Research Centre, University of the West Indies, Bridgetown, Barbados.ORCID https://orcid.org/0000-0002-9346-5450

Funding

Wellcome Trust
6 · The paper itself

Abstract

There have been many calls for systems-informed approaches to evaluation. Population health interventions, which often focus on improving the upstream determinants of health through large-scale change, seem well-suited to systems-informed approaches to evaluation. The purported benefits and appropriateness of taking a systems-based approach to population health intervention evaluation have been extensively discussed, and there is a growing, but still limited, number of applied case studies that operationalised these calls. Here, we reflect on insights gained from recent experiences across three evaluation case studies: a late-night levy to support local policing (UK), the tiered soft drinks industry levy (UK) and a value-based tax on sugar-sweetened beverages (Barbados). Building on theoretical work in this area, we illustrate through applied examples how a systems-informed approach can help to cast a wider net for potential impacts, be integrated with an effectiveness perspective to produce deeper insights and support greater engagement with non-linearity.

Indexed as

evaluation methodologyevaluation studiespopulation healthsystems analysissystems thinking

Identifiers

PMID42857717
PMCPMC13652308

What OpenQuestion holds

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Registered trials

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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.