Evidence map›Paper›PMID 37186409›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2023

Unpacking the Cinderella black box of complex intervention development through the Partners at Care Transitions (PACT) programme of research.

Jenni Murray, Ruth Baxter, Rebecca Lawton, Natasha Hardicre, Rosie Shannon, Joseph Langley, Rebecca Partridge, Sally Moore, Jane K O'Hara

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
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  5. Supporting Older People Living With Frailty to Self-Manage Multiple Medicines: An Experience-Based Co-Design of a Complex Intervention Developed in UK Primary Care.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  6. Article
  7. Article
  8. Article
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  10. Unpacking the Cinderella black box of complex intervention development through the Partners at Care Transitions (PACT) programme of research.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  11. A qualitative formative evaluation of a patient facing intervention to improve care transitions for older people moving from hospital to home.Health expectations : an international journal of public participation in health care and health policy · 2022
    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

9 authors.

Jenni MurrayYorkshire Quality and Safety Research Group, Bradford Institute for Health Research, Bradford, West Yorkshire, UK.ORCID 0000-0003-0563-0020
Ruth BaxterYorkshire Quality and Safety Research Group, Bradford Institute for Health Research, Bradford, West Yorkshire, UK.
Rebecca LawtonSchool of Psychology, University of Leeds, Leeds, UK.
Natasha HardicreYorkshire Quality and Safety Research Group, Bradford Institute for Health Research, Bradford, West Yorkshire, UK.ORCID 0000-0002-3639-5556
Rosie ShannonYorkshire Quality and Safety Research Group, Bradford Institute for Health Research, Bradford, West Yorkshire, UK.
Joseph LangleyLab4Living, Sheffield Hallam University, Sheffield, UK.
Rebecca PartridgeLab4Living, Sheffield Hallam University, Sheffield, UK.
Sally MooreYorkshire Quality and Safety Research Group, Bradford Institute for Health Research, Bradford, West Yorkshire, UK.
Jane K O'HaraSchool of Healthcare, University of Leeds, Leeds, UK.

Funding

National Institute for Health Research Programme Grants for Applied Health Research, Partners at Care Transitions (PACT) RP-PG-1214-20017National Institute for Health Research Yorkshire and Humber ARC NIHR200166
6 · The paper itself

Abstract

introductionComplex intervention development has been described as the 'Cinderella' black box in health services research. Greater transparency in the intervention development process is urgently needed to help reduce research waste.

methodsWe applied a new consensus-based framework for complex intervention development to our programme of research, in which we developed an intervention to improve the safety and experience of care transitions for older people. Through this process, we aimed to reflect on the framework's utility for intervention development and identify any important gaps within it to support its continued development.

findingsThe framework was a useful tool for transparent reporting of the process of complex intervention development. We identified potential 'action' gaps in the framework including 'consolidation of evidence' and 'development of principles' that could bracket and steer decision-making in the process.

conclusionsWe consider that the level of transparency demonstrated in this report, aided through use of the framework, is essential in the quest for reducing research waste. PATIENT OR PUBLIC CONTRIBUTION: We have involved our dedicated patient and public involvement group in all work packages of this programme of research. Specifically, they attended and contributed to co-design workshops and contributed to finalizing the intervention for the pilot evaluation. Staff also participated by attending co-design workshops, helping us to prioritize content ideas for the intervention and supporting the development of intervention components outside of the workshops.

Indexed as

Health Services ResearchPatient TransferAgedHumanscomplex intervention developmentolder peopletransitions of care

Identifiers

PMID37186409
PMCPMC10349252

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.