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Research

Clinical decision making and risk appraisal using electronic risk assessment tools for cancer diagnosis: a qualitative study of GP experiences

Alex Burns, Emily Fletcher, Elizabeth Shephard, Raff Calitri, Mark Tarrant, Adrian Mercer, William Hamilton and Sarah Dean
BJGP Open 2025; 9 (2): BJGPO.2024.0243. DOI: https://doi.org/10.3399/BJGPO.2024.0243
Alex Burns
1 University of Exeter Medical School, University of Exeter, Exeter, UK
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  • For correspondence: ab1265{at}exeter.ac.uk
Emily Fletcher
1 University of Exeter Medical School, University of Exeter, Exeter, UK
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Elizabeth Shephard
1 University of Exeter Medical School, University of Exeter, Exeter, UK
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Raff Calitri
1 University of Exeter Medical School, University of Exeter, Exeter, UK
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Mark Tarrant
2 School of Psychology, University of Plymouth, Plymouth, UK
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Adrian Mercer
3 ERICA Trial Patient and Public Involvement and Engagement Group, University of Exeter, Exeter, UK
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William Hamilton
1 University of Exeter Medical School, University of Exeter, Exeter, UK
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Sarah Dean
1 University of Exeter Medical School, University of Exeter, Exeter, UK
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Article Figures & Data

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    Table 1. GP and practice participant characteristics
    Characteristics of participants and their practicesInterviewees, n
    Practice clinical systemTPP SystmOne8
    EMIS10
    Practice urgent suspected cancer referral ratioa Low (13.57–85.16)3
    Medium (85.17–107.30)6
    High (107.31–265.87)9
    Practice list sizeSmall or medium (<3500–8000)6
    Large (>8000)12
    Practice deprivation rating1–5 (more deprived)12
    6–10 (less deprived)6
    Local Clinical Research Network regionEast of England2
    North East and North Cumbria1
    North West Coast1
    Northern Thames1
    South London1
    South West Peninsula8
    Wessex2
    West of England2
    Sex of participantMale7
    Female11
    Age of participant, years30–403
    41–502
    51–605
    Not known8
    Experience as clinician, years0–104
    11–202
    >204
    Not known8
    • aThis ratio is the number of urgent suspected cancer referrals observed in the registered population divided by the number ‘expected’, based on the practice’s age–sex specific population and the age–sex specific rates for England. The unit is ‘per 100 patients’, thus the ratio for a practice at the numerical medium is 100. 55

Supplementary Data

  • Bur_10.3399BJGPO.2024.0243_Supp_v2.pdf -

    Supplementary material is not copyedited or typeset, and is published as supplied by the author(s). The author(s) retain(s) responsibility for its accuracy.

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Clinical decision making and risk appraisal using electronic risk assessment tools for cancer diagnosis: a qualitative study of GP experiences
Alex Burns, Emily Fletcher, Elizabeth Shephard, Raff Calitri, Mark Tarrant, Adrian Mercer, William Hamilton, Sarah Dean
BJGP Open 2025; 9 (2): BJGPO.2024.0243. DOI: 10.3399/BJGPO.2024.0243

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Clinical decision making and risk appraisal using electronic risk assessment tools for cancer diagnosis: a qualitative study of GP experiences
Alex Burns, Emily Fletcher, Elizabeth Shephard, Raff Calitri, Mark Tarrant, Adrian Mercer, William Hamilton, Sarah Dean
BJGP Open 2025; 9 (2): BJGPO.2024.0243. DOI: 10.3399/BJGPO.2024.0243
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Keywords

  • cancer diagnosis
  • neoplasms
  • primary health care
  • risk assessment

More in this TOC Section

  • Adolescents talk about insufficient prevention through their general practitioner: A qualitative study
  • Diagnostic accuracy of CT in patients with non-specific symptoms of cancer referred directly to CT from general practice: a retrospective follow-up study
  • Impact of a comprehensive review template on personalised care in general practice for patients with multiple long-term conditions: a mixed-methods evaluation
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