Evidence map›Paper›PMID 40623756›Full record

ArticleBMJ open2025

Investigating the long-term public health and co-benefit impacts of an urban greenway intervention in the UK: a natural experiment evaluation - study protocol.

Ruth F Hunter, Claire Cleland, Ruoyu Wang, Ciaran O'Neill, Shay Mullineaux, Christopher Tate, Hüseyin Küçükali, Selin Akaraci, Niamh O'Kane, Leandro Garcia and 13 more

Abstract read
In one paragraph

Article in BMJ open, 2025. 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

23 authors.

Ruth F HunterCentre for Public Health, Queen's University Belfast, Belfast, UK ruth.hunter@qub.ac.uk.ORCID http://orcid.org/0000-0001-7315-0382
Claire ClelandCentre for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-2738-8274
Ruoyu WangCentre for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-7240-558X
Ciaran O'NeillCentre for Public Health, Queen's University Belfast, Belfast, UK.
Shay MullineauxCentre for Public Health, Queen's University Belfast, Belfast, UK.
Christopher TateCentre for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-3986-5971
Hüseyin KüçükaliCentre for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0003-1669-3107
Selin AkaraciCentre for Public Health, Queen's University Belfast, Belfast, UK.
Niamh O'KaneCentre for Public Health, Queen's University Belfast, Belfast, UK.
Leandro GarciaCentre for Public Health, Queen's University Belfast, Belfast, UK.
Mike ClarkeCentre for Public Health, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-2926-7257
Christopher R CardwellCentre for Public Health, Queen's University Belfast, Belfast, UK.
Sophie JonesCentre for Public Health, Queen's University Belfast, Belfast, UK.
Aideen MaguireCentre for Public Health, Queen's University Belfast, Belfast, UK.
Geraint EllisSchool of Natural and Built Environment, Queen's University Belfast, Belfast, UK.
Brendan MurtaghSchool of Natural and Built Environment, Queen's University Belfast, Belfast, UK.
Anna Jurek-LoughreySchool of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK.
Dominic BryanSchool of History, Anthropology, Philosophy and Politics, Queen's University Belfast, Belfast, UK.
John BarrySchool of History, Anthropology, Philosophy and Politics, Queen's University Belfast, Belfast, UK.
Jeremy HiltonComplex Systems Governance Group, Faculty of Engineering and Applied Science, Cranfield University, Cranfield, UK.
Mehdi HafeziComplex Systems Governance Group, Faculty of Engineering and Applied Science, Cranfield University, Cranfield, UK.
Natalie ClewleyComplex Systems Governance Group, Faculty of Engineering and Applied Science, Cranfield University, Cranfield, UK.
Frank KeeCentre for Public Health, Queen's University Belfast, Belfast, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionUrban green and blue space (UGBS) interventions, such as the development of an urban greenway, have the potential to provide public health benefits and multiple co-benefits in the realms of the environment, economy and society. This paper presents the protocol for a 5-year follow-up evaluation of the public health benefits and co-benefits of an urban greenway in Belfast, UK. METHODS AND ANALYSIS: The natural experiment evaluation uses a range of systems-oriented and mixed-method approaches. First, using group model building methods, we codeveloped a causal loop diagram with stakeholders to inform the evaluation framework. We will use other systems methods including viable systems modelling and soft systems methodology to understand the context of the system (ie, the intervention) and the stakeholders involved in the development, implementation and maintenance phases. The effectiveness evaluation includes a repeat cross-sectional household survey with a random sample of 1200 local residents (adults aged ≥16 years old) who live within 1 mile of the greenway. The survey is complemented with administrative data from the National Health Service. For the household survey, outcomes include physical activity, mental well-being, quality of life, social capital, perceptions of environment and biodiversity. From the administrative data, outcomes include prescription medications for a range of non-communicable diseases such as cardiovascular disease, type II diabetes mellitus, chronic respiratory and mental health conditions. We also investigate changes in infectious disease rates, including COVID-19, and maternal and child health outcomes such as birth weight and gestational diabetes. A range of economic evaluation methods, including a cost-effectiveness analysis and social return on investment (SROI), will be employed. Findings from the household survey and administrative data analysis will be further explored in focus groups with a subsample of those who complete the household survey and the local community to explore possible mechanistic pathways and other impacts beyond those measured. Process evaluation methods include intercept surveys and direct observation of the number and type of greenway visitors using the Systems for Observing Play and Recreation in Communities tool. Finally, we will use methods such as weight of evidence, simulation and group model building, each embedding participatory engagement with stakeholders to help us interpret, triangulate and synthesise the findings. ETHICS AND DISSEMINATION: To our knowledge, this is one of the first natural experiments with a 5-year follow-up evaluation of an UGBS intervention. The findings will help inform future policy and practice on UGBS interventions intended to bring a range of public health benefits and co-benefits. Ethics approval was obtained from the Medicine, Health and Life Sciences Research Ethics Committee prior to the commencement of the study. All participants in the household survey and focus group workshops will provide written informed consent before taking part in the study. Findings will be reported to (1) participants and stakeholders; (2) funding bodies supporting the research; (3) local, regional and national governments to inform policy; (4) presented at local, national and international conferences and (5) disseminated by peer-review publications.

Indexed as

Environment DesignPublic HealthAdolescentAdultCOVID-19Cross-Sectional StudiesFemaleHumansMaleQuality of LifeResearch DesignUnited KingdomEPIDEMIOLOGYPrimary PreventionPUBLIC HEALTH

Identifiers

PMID40623756
PMCPMC12230955

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.