Evidence map›Paper›PMID 28351391›Full record

ReviewHealth research policy and systems2017

The impact on healthcare, policy and practice from 36 multi-project research programmes: findings from two reviews.

Steve Hanney, Trisha Greenhalgh, Amanda Blatch-Jones, Matthew Glover, James Raftery

Abstract readReview
In one paragraph

Review in Health research policy and systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. A research impact model for work and health.American journal of industrial medicine · 2021
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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

5 authors.

Steve HanneyHealth Economics Research Group (HERG), Institute of Environment, Health and Societies, Brunel University London, London, UB8 3PH, United Kingdom. stephen.hanney@brunel.ac.uk.ORCID http://orcid.org/0000-0002-7415-5932
Trisha GreenhalghNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, United Kingdom.
Amanda Blatch-JonesWessex Institute, Faculty of Medicine, University of Southampton, Southampton, SO16 7NS, United Kingdom.
Matthew GloverHealth Economics Research Group (HERG), Institute of Environment, Health and Societies, Brunel University London, London, UB8 3PH, United Kingdom.
James RafteryPrimary Care and Population Sciences, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD, United Kingdom.

Funding

Department of Health 03/67/01
6 · The paper itself

Abstract

backgroundWe sought to analyse the impacts found, and the methods used, in a series of assessments of programmes and portfolios of health research consisting of multiple projects.

methodsWe analysed a sample of 36 impact studies of multi-project research programmes, selected from a wider sample of impact studies included in two narrative systematic reviews published in 2007 and 2016. We included impact studies in which the individual projects in a programme had been assessed for wider impact, especially on policy or practice, and where findings had been described in such a way that allowed them to be collated and compared.

resultsIncluded programmes were highly diverse in terms of location (11 different countries plus two multi-country ones), number of component projects (8 to 178), nature of the programme, research field, mode of funding, time between completion and impact assessment, methods used to assess impact, and level of impact identified. Thirty-one studies reported on policy impact, 17 on clinician behaviour or informing clinical practice, three on a combined category such as policy and clinician impact, and 12 on wider elements of impact (health gain, patient benefit, improved care or other benefits to the healthcare system). In those multi-programme projects that assessed the respective categories, the percentage of projects that reported some impact was policy 35% (range 5-100%), practice 32% (10-69%), combined category 64% (60-67%), and health gain/health services 27% (6-48%). Variations in levels of impact achieved partly reflected differences in the types of programme, levels of collaboration with users, and methods and timing of impact assessment. Most commonly, principal investigators were surveyed; some studies involved desk research and some interviews with investigators and/or stakeholders. Most studies used a conceptual framework such as the Payback Framework. One study attempted to assess the monetary value of a research programme's health gain.

conclusionThe widespread impact reported for some multi-project programmes, including needs-led and collaborative ones, could potentially be used to promote further research funding. Moves towards greater standardisation of assessment methods could address existing inconsistencies and better inform strategic decisions about research investment; however, unresolved issues about such moves remain.

Indexed as

Biomedical ResearchHealth PolicyHealth Services ResearchDelivery of Health CareGlobal HealthHealth Impact AssessmentHumansProfessional PracticeGlobal ObservatoryHealth gainsHealth technology assessmentMonetisationMulti-project programmesPayback FrameworkPolicy impactPractice impactResearch impactWorld Health Report

Identifiers

PMID28351391
PMCPMC5371238

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.