Evidence map›Paper›PMID 38328347›Full record

ArticleQualitative research in medicine & healthcare2023

The use of metaphors by service users with diverse long-term conditions: a secondary qualitative data analysis.

Heidi Lempp, Chris Tang, Emily Heavey, Katherine Bristowe, Helen Allan, Vanessa Lawrence, Beatriz Santana Suarez, Ruth Williams, Lisa Hinton, Karen Gillett and 1 more

Abstract read
In one paragraph

Article in Qualitative research in medicine & healthcare, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

11 authors.

Heidi LemppDepartment of Inflammation Biology, King's College London.
Chris TangSchool of Education, King's College London.
Emily HeaveySchool of Human and Health Sciences, University of Huddersfield, Kirklees.
Katherine BristoweCicely Saunders Institute of Palliative Care, Policy & Rehabilitation, King's College London.
Helen AllanSchool of Health and Education, Middlesex University, London.
Vanessa LawrenceInstitute of Psychiatry, Psychology and Neuroscience, King's College London.
Beatriz Santana SuarezDepartment of Inflammation Biology, King's College London.
Ruth WilliamsDepartment of Inflammation Biology, King's College London.
Lisa HintonNuffield Department of Primary Care Health Sciences, University of Oxford.
Karen GillettFaculty of Nursing, Midwifery & Palliative Care King's College, London.
Anne ArberFaculty of Health and Medical Sciences, University of Surrey, Guildford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term conditions and accompanied co-morbidities now affect about a quarter of the UK population. Enabling patients and caregivers to communicate their experience of illness in their own words is vital to developing a shared understanding of the condition and its impact on patients' and caregivers' lives and in delivering person-centred care. Studies of patient language show how metaphors provide insight into the physical and emotional world of the patient, but such studies are often limited by their focus on a single illness. The authors of this study undertook a secondary qualitative data analysis of 25 interviews, comparing the metaphors used by patients and parents of patients with five longterm conditions. Analysis shows how similar metaphors can be used in empowering and disempowering ways as patients strive to accept illness in their daily lives and how metaphor use depends on the manifestation, diagnosis, and treatment of individual conditions. The study concludes with implications for how metaphorical expressions can be attended to by healthcare professionals as part of shared care planning.

Indexed as

Illness experiencelong term conditionsmetaphorssecondary data analysis

Identifiers

PMID38328347
PMCPMC10849034

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Registered trials

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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.