Evidence map›Paper›PMID 33450013›Full record

ArticleHealth promotion international2021

A new transdisciplinary research model to investigate and improve the health of the public.

Helen Pineo, Eleanor R Turnbull, Michael Davies, Mike Rowson, Andrew C Hayward, Graham Hart, Anne M Johnson, Robert W Aldridge

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health promotion international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Interorganizational Networks in Physical Activity Promotion: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  2. Article
  3. Article
  4. Science Speed Dating to Spur Inter-Institutional Collaborative Research.International journal of environmental research and public health · 2025
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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

8 authors.

Helen PineoInstitute for Environmental Design and Engineering, Bartlett School of Environment, Energy and Resources, University College London, Central House, 14 Upper Woburn Place, London WC1H 0NN, UK.
Eleanor R TurnbullAcademic Foundation Programme, North Central and East London Foundation School, Health Education England, Stewart House, 32 Russell Square, Bloomsbury, London, UK.
Michael DaviesInstitute for Environmental Design and Engineering, Bartlett School of Environment, Energy and Resources, University College London, Central House, 14 Upper Woburn Place, London WC1H 0NN, UK.
Mike RowsonFaculty of Population Health Sciences, University College London, 149 Tottenham Court Road, London, W1T 7BN, UK.
Andrew C HaywardInstitute of Epidemiology and Health Care, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
Graham HartFaculty of Population Health Sciences, University College London, 149 Tottenham Court Road, London, W1T 7BN, UK.
Anne M JohnsonInstitute for Global Health, University College London, Mortimer Market Centre, Capper Street, London, WC1E 6JB, UK.
Robert W AldridgeCentre for Public Health Data Science, Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Transdisciplinary research approaches are being applied to today's complex health problems, including the climate crisis and widening inequalities. Diverse forms of disciplinary and experiential knowledge are required to understand these challenges and develop workable solutions. We aimed to create an updated model reflective of the strengths and challenges of current transdisciplinary health research that can be a guide for future studies. We searched Medline using terms related to transdisciplinary, health and research. We coded data deductively and inductively using thematic analysis to develop a preliminary model of transdisciplinary research. The model was tested and improved through: (i) a workshop with 27 participants at an international conference in Xiamen, China and (ii) online questionnaire feedback from included study authors. Our revised model recommends the following approach: (i) co-learning, an ongoing phase that recognizes the distributed nature of knowledge generation and learning across partners; (ii) (pre-)development, activities that occur before and during project initiation to establish a shared mission and ways of working; (iii) reflection and refinement to evaluate and improve processes and results, responding to emergent information and priorities as an ongoing phase; (iv) conceptualization to develop goals and the study approach by combining diverse knowledge; (v) investigation to conduct the research; (vi) implementation to use new knowledge to solve societal problems. The model includes linear and cyclical processes that may cycle back to project development. Our new model will support transdisciplinary research teams and their partners by detailing the necessary ingredients to conduct such research and achieve health impact.

Indexed as

Health PromotionInterdisciplinary ResearchPublic HealthResearch DesignChinaHumansResearch Personnelmethodologypublic healthresearch processtransdisciplinary

Identifiers

PMID33450013
PMCPMC8049543

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.