Evidence map›Paper›PMID 28125392›Full record

ReviewAnnual review of public health2017

Natural Experiments: An Overview of Methods, Approaches, and Contributions to Public Health Intervention Research.

Peter Craig, Srinivasa Vittal Katikireddi, Alastair Leyland, Frank Popham

Abstract readReview
In one paragraph

Review in Annual review of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 229 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
229citing papers in PubMed, 13 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

229 citing papers in PubMed, 13 syntheses or guidelines pooled it.

  1. Pooled it
  2. Impact of structural-level environmental interventions on physical activity: a systematic review.International archives of occupational and environmental health · 2023
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Social return on investment (SROI) method to evaluate physical activity and sport interventions: a systematic review.The international journal of behavioral nutrition and physical activity · 2020
    Pooled it
  13. Pooled it
  14. Trial
  15. Trial
  16. Trial
  17. Trial
  18. Trial
  19. Trial
  20. Proportionate action requires a decision rule.Lancet regional health. Americas · 2026
    Article

169 more citing papers are in PubMed but not listed here.

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

4 authors.

Peter CraigMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow G2 3QB, United Kingdom; email: peter.craig@glasgow.ac.uk , vittal.katikireddi@glasgow.ac.uk , alastair.leyland@glasgow.ac.uk , frank.popham@glasgow.ac.uk.
Srinivasa Vittal KatikireddiMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow G2 3QB, United Kingdom; email: peter.craig@glasgow.ac.uk , vittal.katikireddi@glasgow.ac.uk , alastair.leyland@glasgow.ac.uk , frank.popham@glasgow.ac.uk.
Alastair LeylandMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow G2 3QB, United Kingdom; email: peter.craig@glasgow.ac.uk , vittal.katikireddi@glasgow.ac.uk , alastair.leyland@glasgow.ac.uk , frank.popham@glasgow.ac.uk.
Frank PophamMRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow G2 3QB, United Kingdom; email: peter.craig@glasgow.ac.uk , vittal.katikireddi@glasgow.ac.uk , alastair.leyland@glasgow.ac.uk , frank.popham@glasgow.ac.uk.

Funding

Chief Scientist Office SCAF/15/02Chief Scientist Office SPHSU13Chief Scientist Office SPHSU15Medical Research Council MC_UU_12017/13Medical Research Council MC_UU_12017/15
6 · The paper itself

Abstract

Population health interventions are essential to reduce health inequalities and tackle other public health priorities, but they are not always amenable to experimental manipulation. Natural experiment (NE) approaches are attracting growing interest as a way of providing evidence in such circumstances. One key challenge in evaluating NEs is selective exposure to the intervention. Studies should be based on a clear theoretical understanding of the processes that determine exposure. Even if the observed effects are large and rapidly follow implementation, confidence in attributing these effects to the intervention can be improved by carefully considering alternative explanations. Causal inference can be strengthened by including additional design features alongside the principal method of effect estimation. NE studies often rely on existing (including routinely collected) data. Investment in such data sources and the infrastructure for linking exposure and outcome data is essential if the potential for such studies to inform decision making is to be realized.

Indexed as

Healthcare DisparitiesPublic HealthResearchDecision MakingHealth PrioritiesHumansSocioeconomic Factorscausal inferenceevaluation methodspopulation health interventions

Identifiers

PMID28125392
PMCPMC6485604

What OpenQuestion holds

Textmetadata
LicenceCC BY-SA
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.