Evidence map›Paper›PMID 41022436›Full record

ArticleBMJ open2025

How do primary care consultation dynamics affect the timeliness of cancer diagnosis in people with one or more long-term conditions? A qualitative study.

Maria Valasaki, Mary Carter, Rachel Winder, Elizabeth Shephard, Jose M Valderas, Samuel William David Merriel, Leon Farmer, Beccy Summers, Sarah Gerard Dean, Sarah Morgan-Trimmer

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Maria ValasakiPublic Health and Primary Care, University of Cambridge, Cambridge, UK [email protected].ORCID http://orcid.org/0000-0002-8786-9731
Mary CarterHealth & Community Sciences, University of Exeter, Exeter, UK.ORCID http://orcid.org/0000-0002-1063-5814
Rachel WinderUniversity of Exeter Medical School, Exeter, UK.
Elizabeth ShephardUniversity of Exeter Medical School, Exeter, UK.
Jose M ValderasNational University of Singapore, Singapore.
Samuel William David MerrielCentre for Primary Care & Health Services Research, The University of Manchester, Manchester, UK.
Leon FarmerPPIE, University of Exeter Medical School, Exeter, UK.
Beccy SummersUniversity of Exeter Medical School, Exeter, UK.ORCID http://orcid.org/0009-0007-2136-3272
Sarah Gerard DeanPenCLAHRC University of Exeter Medical School, Exeter, UK.ORCID http://orcid.org/0000-0002-3682-5149
Sarah Morgan-TrimmerSchool of Primary Care, University of Southampton Faculty of Medicine Health and Life Sciences, Southampton, UK.ORCID http://orcid.org/0000-0001-5226-9595

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo explore how pre-existing conditions affect the diagnostic process for potential cancer in primary care patients.

designQualitative interview study using thematic analysis underpinned by a critical realist approach.

settingPrimary care practices recruited through four Clinical Research Networks and UK health charities across England.

participantsInterviews were conducted with 75 patients with one or more pre-existing conditions (anxiety/depression, diabetes, obesity, chronic obstructive pulmonary disease, Parkinson's disease or multiple long-term conditions (four or more)) and 28 primary care professionals (general practitioners and nurses).

resultsThe study identified legitimacy as a central theme influencing patient trajectories in the health system while trying to receive a diagnosis for symptoms with which they presented to primary care. Patients engaged in self-triage to determine whether symptoms were 'legitimate' enough to seek care. Subsequent triaging steps (by receptionists, nurses and online systems) acted as gatekeepers, with decisions influenced by effectiveness of describing the symptom and subjective impressions. During consultations, clinicians relied on a mix of symptom narrative clarity, medical history and objective 'metrics' (eg, blood results, family history) to determine legitimacy for further investigations. Pre-existing conditions could either lower the threshold for referrals or obscure potential cancer symptoms. The stigma associated with mental health diagnoses often undermined perceived legitimacy and contributed to delays.

conclusionsLegitimacy is continuously negotiated throughout the diagnostic pathway. It is shaped by social, moral and biomedical judgements. To promote early cancer diagnosis for patients with pre-existing conditions, clinicians must make legitimacy assessments explicit, reduce stigma especially around mental health and standardise triage processes.

Indexed as

Early Detection of CancerNeoplasmsPrimary Health CareReferral and ConsultationAdultAgedChronic DiseaseDelayed DiagnosisEnglandFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchTime FactorsChronic DiseaseDecision MakingEarly Detection of CancerPrimary CareQUALITATIVE RESEARCH

Identifiers

PMID41022436
PMCPMC12481337

What Socratic 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 Socratic graph.