Evidence map›Paper›PMID 31033115›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2019

Supporting self-management after traumatic brain injury: Codesign and evaluation of a new intervention across a trauma pathway.

Petra Mäkelä, Fiona Jones, Maria Inês de Sousa de Abreu, Lucinda Hollinshead, John Ling

Open access · goldAbstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

14 citing papers in PubMed, 34 citations in OpenAlex.

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  5. Understanding supported self-management for people living with a lower-grade glioma: Implementation considerations through the lens of normalisation process theory.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  6. Using co-design methods to develop new personalised support for people living with Long Covid: The 'LISTEN' intervention.Health expectations : an international journal of public participation in health care and health policy · 2024
    Article
  7. Reclaiming Agency in Care Decisions and Barriers From the Perspectives of Individuals With Acquired Brain Injury and Their Family Members.Health expectations : an international journal of public participation in health care and health policy · 2024
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  13. Supporting self-management after traumatic brain injury: Codesign and evaluation of a new intervention across a trauma pathway.Health expectations : an international journal of public participation in health care and health policy · 2019
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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 at 2 institutions in 1 country.

Petra MäkeläKing's College Hospital, London, UK.ORCID 0000-0002-0938-1175
Fiona JonesFaculty of Health, Social Care and Education, Kingston University and St George's, University of London, London, UK.ORCID 0000-0002-1452-3895
Maria Inês de Sousa de AbreuKing's College Hospital, London, UK.ORCID 0000-0003-0399-6221
Lucinda HollinsheadFaculty of Health, Social Care and Education, Kingston University and St George's, University of London, London, UK.ORCID 0000-0002-1711-988X
John LingKing's College Hospital, London, UK.ORCID 0000-0002-4372-985X
King's College Hospital · GBSt George's, University of London · GB

Funding

The Health Foundation
6 · The paper itself

Abstract

backgroundSupported self-management (SSM) is a recognized approach for people with long-term conditions but, despite the prevalence of unmet needs, little is known about its role for people with traumatic brain injury (TBI).

objectivesTo codesign an SSM intervention with people with TBI and evaluate feasibility of implementation through multidisciplinary staff across a trauma pathway. SETTING AND

participantsPeople who had previously been admitted to a Major Trauma Centre following TBI and family members participated in a series of codesign activities. Staff attended SSM workshops and used the intervention with patients in acute and rehabilitation settings.

methodsWe used Normalization Process Theory constructs to guide and interpret implementation. Knowledge, beliefs and confidence of staff in SSM were assessed through pre- and post-training questionnaires, and staff, patients' and families' experiences were explored through semi-structured interviews. Qualitative data were analysed thematically, and clinical measures were mapped against a matched sample.

resultsCodesigned resources were created and used within an SSM approach for which 110 staff participated in training. Evaluation demonstrated significant differences in staff SSM confidence and skills, following training. Qualitative evaluation revealed adoption by staff, and patients' and families' experiences of using the resources. Challenges included reaching staff across complex pathways to achieve collective implementation.

conclusionThis is the first project to demonstrate feasibility of SSM for people after TBI starting in an acute trauma setting. Through an open approach to codesign with a marginalized group, the SSM resources were valued by them and held meaning and relevance for staff.

Indexed as

Brain Injuries, TraumaticFamilyFemaleHealth Knowledge, Attitudes, PracticeHumansMalePatient Care TeamProfessional RoleSelf-ManagementSocial Supportcodesignhospital carepatient-centred carequality improvementself-management supportteamworktraumatic brain injuries

Identifiers

PMID31033115
PMCPMC6737836
OpenAlexW2942832257

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.