Evidence map›Paper›PMID 30705608›Full record

ArticleEvaluation (London, England : 1995)2019

From complex social interventions to interventions in complex social systems: Future directions and unresolved questions for intervention development and evaluation.

Graham F Moore, Rhiannon E Evans, Jemma Hawkins, Hannah Littlecott, G J Melendez-Torres, Chris Bonell, Simon Murphy

Abstract read
In one paragraph

Article in Evaluation (London, England : 1995), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 198 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
198citing papers in PubMed, 15 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

198 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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  10. Correlates of Physical Activity among Adults with Sight Loss in High-Income-Countries: A Systematic Review.International journal of environmental research and public health · 2021
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138 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

7 authors.

Graham F MooreCardiff University, UK.
Rhiannon E EvansCardiff University, UK.
Jemma HawkinsCardiff University, UK.
Hannah LittlecottCardiff University, UK.
G J Melendez-TorresCardiff University, UK.
Chris BonellLondon School of Hygiene & Tropical Medicine, UK.
Simon MurphyCardiff University, UK.

Funding

Cancer Research UK 26532Medical Research Council MR/K023233/1Wellcome Trust
6 · The paper itself

Abstract

Complex systems approaches to social intervention research are increasingly advocated. However, there have been few attempts to consider how models of intervention science, such as the UK's Medical Research Council complex interventions framework, might be reframed through a complex systems lens. This article identifies some key areas in which this framework might be reconceptualized, and a number of priority areas where further development is needed if alignment with a systems perspective is to be achieved. We argue that a complex systems perspective broadens the parameters of 'relevant' evidence and theory for intervention development, before discussing challenges in defining feasibility in dynamic terms. We argue that whole systems evaluations may be neither attainable, nor necessary; acknowledgment of complexity does not mean that evaluations must be complex, or investigate all facets of complexity. However, a systems lens may add value to evaluation design through guiding identification of key uncertainties, and informing decisions such as timings of follow-up assessments.

Indexed as

complex interventionscomplex systemsevaluationmethodologypopulation healthsocial intervention

Identifiers

PMID30705608
PMCPMC6330692

What OpenQuestion holds

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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.