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Research

Understanding GPs’ views and experiences of using clinical prediction rules in the management of respiratory infections: a qualitative study

Hilda O Hounkpatin, Catherine Woods, Mark Lown, Beth Stuart and Geraldine M Leydon
BJGP Open 2021; 5 (4): BJGPO.2021.0096. DOI: https://doi.org/10.3399/BJGPO.2021.0096
Hilda O Hounkpatin
1Primary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
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  • For correspondence: H.O.Hounkpatin@soton.ac.uk
Catherine Woods
1Primary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
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Mark Lown
1Primary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
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Beth Stuart
1Primary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
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Geraldine M Leydon
1Primary Care Research Centre, School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
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Article Figures & Data

Tables

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    Table 1. Participant characteristics
    Characteristicn (%)
    Sex
    Male16 (50)
    Female16 (50)
    Age, years
    Range32–60
    Median44
    Ethnic group
    White27 (84.4)
    Asian5 (15.6)
    Years in general practice
    Range1–32
    Median14
    Location
    Rural9 (28.1)
    Urban18 (56.3)
    Mixed or market town5 (15.6)
    Size of practice
    Small3 (9.4)
    Medium16 (50)
    Large13 (40.6)
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    Table 2. GP reported advantages, concerns regarding CPRs for respiratory tract infections, their use in remote consultations, and implementation
    ThemesSubthemes
    1) Advantages of CPRs
    • Useful for providing evidence for prescribing decisions to patients

    • Evidence-based decision aid for clinicians

    • Documenting what happened in the consultation

    2) Concerns about use of CPRs
    • Patient complexity

    • An intrusion on the consultation

    • Time constraint as main barrier

    • Issues with accuracy and interpretation

    3) Use of CPRs during COVID-19
    • CPRs need to be adapted for remote consultations

    • CPRs need to be validated for remote consultations

    • Patients could complete CPR

    4) Implementation of CPS
    • Integration into computer systems

    • GP awareness

    • CPRs need to be evidenced and endorsed

    • Ideally validated in primary care population

    • CPR design and length

    • Changes to CPR to improve patient understanding

    • Monetary incentives not needed

    • CPRs = clinical prediction rules.

Supplementary Data

  • BJGPO.2021.0096.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.

  • BJGPO.2021.0096_Supp_2.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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Understanding GPs’ views and experiences of using clinical prediction rules in the management of respiratory infections: a qualitative study
Hilda O Hounkpatin, Catherine Woods, Mark Lown, Beth Stuart, Geraldine M Leydon
BJGP Open 2021; 5 (4): BJGPO.2021.0096. DOI: 10.3399/BJGPO.2021.0096

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Understanding GPs’ views and experiences of using clinical prediction rules in the management of respiratory infections: a qualitative study
Hilda O Hounkpatin, Catherine Woods, Mark Lown, Beth Stuart, Geraldine M Leydon
BJGP Open 2021; 5 (4): BJGPO.2021.0096. DOI: 10.3399/BJGPO.2021.0096
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Keywords

  • qualitative research
  • Diagnosis
  • respiratory illness
  • general practice

More in this TOC Section

  • Sex differences in the prescription of antihypertensive medications in primary care patients: an observational study
  • Evaluating ChatGPT for converting clinic letters into patient-friendly language: a quantitative study
  • Community-based cardiovascular risk assessment using the CardisioTM AI test: a prospective cohort study
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