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Accuracy of the NICE traffic light system in children presenting to general practice: a retrospective cohort study

Amy Clark, Rebecca Cannings-John, Megan Blyth, Alastair D Hay, Christopher C Butler and Kathryn Hughes
British Journal of General Practice 2022; 72 (719): e398-e404. DOI: https://doi.org/10.3399/BJGP.2021.0633
Amy Clark
School of Medicine, Cardiff University, Cardiff.
Roles: Medical student
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Rebecca Cannings-John
Centre for Trials Research, Cardiff University, Cardiff.
Roles: Senior research fellow
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Megan Blyth
Division of Population Medicine, School of Medicine, Cardiff University, Cardiff.
Roles: Clinical lecturer in general practice
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Alastair D Hay
Centre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol.
Roles: Professor of primary care
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Christopher C Butler
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford.
Roles: Professor of primary care
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Kathryn Hughes
PRIME Centre Wales, Division of Population Medicine, School of Medicine, Cardiff University, Cardiff.
Roles: Senior clinical lecturer
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    Figure 1.

    Flow chart of children included in analysis.15

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    Figure 2.

    Bar chart demonstrating the traffic light categories for children admitted and not admitted to hospital, and those with a serious illness. These figures have been rounded to the nearest five to comply with the ‘small data’ reporting requirements of the Secure Anonymised Information Linkage (SAIL) databank.

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    The National Institute for Health and Care Excellence (NICE) traffic light system is widely used in general practice for the assessment of unwell children; however, the majority of previous studies validating this tool have been conducted in secondary care settings. To that authors’ knowledge, no studies have validated this tool within UK general practice. This study found that the traffic light system cannot accurately detect or exclude serious illness in children presenting to UK general practice with an acute illness. The conclusion reached was that it cannot be relied on by clinicians for the assessment of acutely unwell children and that it is unsuitable for use as a clinical decision tool.
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    Table 1.

    Characteristics of the DUTY children presenting to general practice by hospital admission status within 7 days

    CharacteristicDUTY cohort (n = 6703)DUTY children not admitted to hospital (n= 6564)aDUTY children admitted to hospital (n = 139)a
    Age at recruitment, months,
    n (%)
    <3198 (3.0)191 (2.9)7 (5.0)
    3–5409 (6.1)395 (6.0)14 (10.1)
    6–111065 (15.9)1041 (15.9)24 (17.3)
    12–231577 (23.5)1541 (23.5)36 (25.9)
    24–351263 (18.8)1248 (19.0)15 (10.8)
    36–471257 (18.8)1227 (18.7)30 (21.6)
    ≥48934 (13.9)921 (14.0)13 (9.4)
    Age, years, median (IQR)2.1 (1.0–3.4)2.1 (1.0–3.4)1.6 (0.9–3.1)
    Sex, n (%)
    Male3282 (49.0)3213 (48.9)69 (49.6)
    Female3421 (51.0)3351 (51.1)70 (50.4)
    Traffic light category, n (%)
    Green383 (5.7)378 (5.8)b5 (3.4)b
    Amber4204 (62.7)4154 (63.3)b50 (34.5)b
    Red2116 (31.6)2026 (30.9)b90 (62.1)b
    • ↵a Within 7 days of the GP consultation.

    • ↵b Figures have been rounded and adjusted to comply with SAIL ‘small data’ reporting regulations. DUTY = Diagnosis of Urinary Tract Infection in Young Children. SAIL = Secure Anonymised Information Linkage databank.

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    Table 2.

    Prognostic performance of the NICE traffic light system for detecting serious illness

    Test performance for detecting children with a serious illnessSensitivity, % (95% CI)Specificity, % (95% CI)Positive predictive value, %Negative predictive value, %
    Red category only58.8 (32.9 to 81.6)68.5 (67.4 to 69.6)0.599.8
    Red or amber category100 (80.5 to 100)5.7 (5.2 to 6.3)0.3100
    • NICE = National Institute for Health and Care Excellence.

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    Table 3.

    Prognostic performance of the NICE traffic light system for detecting hospital admission

    Test performance for detecting children admitted to hospitalSensitivity, % (95% CI)Specificity, % (95% CI)Positive predictive value, %Negative predictive value, %
    Red category only61.9 (53.3 to 70.0)69.1 (67.9 to 70.2)4.198.8
    Red or amber category97.8 (93.8 to 99.6)5.8 (5.2 to 6.4)2.299.2
    • NICE = National Institute for Health and Care Excellence.

    • View popup
    Table 4.

    Prognostic performance of the NICE traffic light system for detecting febrile children with a serious illness

    Test performance for detecting serious illness in febrile childrenSensitivity, % (95% CI)Specificity, % (95% CI)Positive predictive value, %Negative predictive value, %
    Red category only62.5 (35.4 to 84.8)64.0 (62.7 to 65.3)0.699.8
    Red or amber category100 (79.4 to 100)3.0 (2.5 to 3.5)0.3100
    • NICE = National Institute for Health and Care Excellence.

Supplementary Data

SUPPLEMENTARY DATA

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.

  • BJGP.2021.0633_suppl.pdf

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British Journal of General Practice: 72 (719)
British Journal of General Practice
Vol. 72, Issue 719
June 2022
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Accuracy of the NICE traffic light system in children presenting to general practice: a retrospective cohort study
Amy Clark, Rebecca Cannings-John, Megan Blyth, Alastair D Hay, Christopher C Butler, Kathryn Hughes
British Journal of General Practice 2022; 72 (719): e398-e404. DOI: 10.3399/BJGP.2021.0633

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Accuracy of the NICE traffic light system in children presenting to general practice: a retrospective cohort study
Amy Clark, Rebecca Cannings-John, Megan Blyth, Alastair D Hay, Christopher C Butler, Kathryn Hughes
British Journal of General Practice 2022; 72 (719): e398-e404. DOI: 10.3399/BJGP.2021.0633
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Keywords

  • child health
  • clinical prediction rule
  • general practice
  • retrospective studies
  • primary health care
  • International Classification of Diseases

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