Evidence map›Paper›PMID 27488361›Full record

ArticleBMC health services research2016

Learning from doing: the case for combining normalisation process theory and participatory learning and action research methodology for primary healthcare implementation research.

Tomas de Brún, Mary O'Reilly-de Brún, Catherine A O'Donnell, Anne MacFarlane

Registry-linked trialAbstract read
In one paragraph

Article in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05326282 (A Proof of Concept Study Evaluating the Role of Emerging Ultrasound Technologies in the Assessment and Monitoring of Localised Prostate Cancer in Men on an Active Surveillance Programme), which is not on this map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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.

NCT05326282 nacompletednot on this mapstarted 2021, after this paper: background citation

A Proof of Concept Study Evaluating the Role of Emerging Ultrasound Technologies in the Assessment and Monitoring of Localised Prostate Cancer in Men on an Active Surveillance Programme

TypeinterventionalSponsorHull University Teaching Hospitals NHS TrustRan2021 to 2024Enrolled100ConditionsProstate CancerArmsMulti-parametric ultrasound
3 · Its place in the literature

Who cites it

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

  1. Pooled it
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  7. Review
  8. Patient influence on general practice service improvement decision making: a participatory research mixed-methods intervention study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
    Article
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  20. Participatory implementation research in the field of migrant health: Sustainable changes and ripple effects over time.Health expectations : an international journal of public participation in health care and health policy · 2020
    Article
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.

Tomas de BrúnDiscipline of General Practice, School of Medicine, National University of Ireland, Galway, Ireland. tomas.debrun@nuigalway.ie.
Mary O'Reilly-de BrúnDiscipline of General Practice, School of Medicine, National University of Ireland, Galway, Ireland.
Catherine A O'DonnellGeneral Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Anne MacFarlaneGraduate Entry Medical School, University of Limerick, Limerick, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe implementation of research findings is not a straightforward matter. There are substantive and recognised gaps in the process of translating research findings into practice and policy. In order to overcome some of these translational difficulties, a number of strategies have been proposed for researchers. These include greater use of theoretical approaches in research focused on implementation, and use of a wider range of research methods appropriate to policy questions and the wider social context in which they are placed. However, questions remain about how to combine theory and method in implementation research. In this paper, we respond to these proposals. DISCUSSION: Focussing on a contemporary social theory, Normalisation Process Theory, and a participatory research methodology, Participatory Learning and Action, we discuss the potential of their combined use for implementation research. We note ways in which Normalisation Process Theory and Participatory Learning and Action are congruent and may therefore be used as heuristic devices to explore, better understand and support implementation. We also provide examples of their use in our own research programme about community involvement in primary healthcare.

conclusionsNormalisation Process Theory alone has, to date, offered useful explanations for the success or otherwise of implementation projects post-implementation. We argue that Normalisation Process Theory can also be used to prospectively support implementation journeys. Furthermore, Normalisation Process Theory and Participatory Learning and Action can be used together so that interventions to support implementation work are devised and enacted with the expertise of key stakeholders. We propose that the specific combination of this theory and methodology possesses the potential, because of their combined heuristic force, to offer a more effective means of supporting implementation projects than either one might do on its own, and of providing deeper understandings of implementation contexts, rather than merely describing change.

Indexed as

Health Services ResearchModels, TheoreticalPrimary Health CareHumansQualitative ResearchResearch DesignImplementation researchNormalisation process theoryPrimary  healthcare, participatory learning & action researchTheoretical frameworks

Identifiers

PMID27488361
PMCPMC4972957

What OpenQuestion holds

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Registered trials

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.