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Research

Implementation of remote consulting in UK primary care following the COVID-19 pandemic: a mixed-methods longitudinal study

Mairead Murphy, Lauren J Scott, Chris Salisbury, Andrew Turner, Anne Scott, Rachel Denholm, Rhys Lewis, Geeta Iyer, John Macleod and Jeremy Horwood
British Journal of General Practice 2021; 71 (704): e166-e177. DOI: https://doi.org/10.3399/BJGP.2020.0948
Mairead Murphy
Centre for Academic Primary Care (CAPC), University of Bristol, Bristol Medical School, Bristol.
Roles: Research fellow
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Lauren J Scott
National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol; CAPC, University of Bristol, Bristol Medical School, Bristol.
Roles: Senior research associate
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Chris Salisbury
National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol; CAPC, University of Bristol, Bristol Medical School, Bristol.
Roles: Professor of primary health care
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Andrew Turner
National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol; CAPC, University of Bristol, Bristol Medical School, Bristol.
Roles: Senior research associate
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Anne Scott
Centre for Academic Primary Care (CAPC), University of Bristol, Bristol Medical School, Bristol.
Roles: Research associate
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Rachel Denholm
NIHR Bristol Biomedical Research Centre, University of Bristol; CAPC, University of Bristol, Bristol.
Roles: Lecturer in applied health data science
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Rhys Lewis
One Care, Whitchurch, Bristol.
Roles: Senior business analyst
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Geeta Iyer
North Somerset and South Gloucestershire Clinical Commissioning Group, Bristol.
Roles: Primary care provider development clinical lead Bristol
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John Macleod
National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol; CAPC, University of Bristol, Bristol Medical School, Bristol.
Roles: Professor of clinical epidemiology and primary care
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Jeremy Horwood
National Institute for Health Research Applied Research Collaboration West (NIHR ARC West), University Hospitals Bristol and Weston NHS Foundation Trust, Bristol; CAPC, University of Bristol, Bristol Medical School, Bristol.
Roles: Associate professor of social sciences and health
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Article Figures & Data

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  • Figure 1.
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    Figure 1.

    GP and nurse/paramedic consultations per 1000 registered patients, February to July 2019 and February to July 2020. Between 97% and 99% of consultations each month were face-to-face or telephone. Monthly percentages for home visits, e-consultations, and video (not shown) varied between 1% to 3% across all three types.

  • Figure 2.
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    Figure 2.

    Normalisation Process Theory model of remote consulting.

    1Bistech = company that provided telephone call routing to enable some reception staff to work from home or sites closed to patients. DOH = Department of Health. F2F = face-to-face. VPN = Virtual Private Network (provides secure connection to a private network). VNC = Virtual Network Computing (provides remote control of a computer from another location).

Tables

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  • How this fits in

    The COVID-19 pandemic has rapidly accelerated a move to remote consulting (telephone, video, and online) in general practice. In this mixed-methods longitudinal study, the authors found that this shift to remote consulting had some benefits but was driven by necessity and helped by low consultation volumes in March and April 2020. Despite a drop in consultations overall, contact rates increased or stayed the same for patients who were older, shielding, or had poor mental health. As consultation rates returned to normal by July 2020 and patients began to consult with more complex problems, GPs found remote management can be more time-consuming, clinically challenging, and less satisfying. The appropriate role of remote consulting in future primary care service delivery remains unclear.
    • View popup
    Table 1.

    Characteristics of all patients registered in participating practices in July 2019

    Registered patients, n%
    Age, years
    0–418 6855.32
    5–1746 82213.34
    18–49158 99345.30
    50–6977 95222.21
    70–8435 87510.22
    ≥8512 6393.60
    Sex
    Male175 95250.13
    Female175 00949.86
    Missing5<0.01
    IMD quintile
    1 (most deprived)71 37820.34
    255 00215.67
    353 12915.14
    473 11920.83
    5 (least deprived)96 60827.53
    Missing17300.49
    Ethnicity
    White228 62465.14
    Asian/Asian British11 7743.35
    Black/African/Caribbean/Black British12 2343.49
    Mixed/Multiple ethnic groups53681.53
    Other12100.34
    Missing91 75626.14
    Mental health
    Good318 32990.70
    Poora32 6379.30
    Shielding
    Non-shielding337 75896.24
    Shielding13 2083.76
    • ↵a Defined as patients with severe mental illness (based on Quality and Outcomes Framework (QOF) business rules19) OR patients with depression (based on QOF rules19) OR patient prescribed antidepressants in the last 3 months (excluding tricyclics, as these are commonly used for non-mental health conditions).

    • View popup
    Table 2.

    Changes in consulting rates in April to July 2020 compared to April to July 2019 overall, and stratified by patient characteristicsa

    All consultationsFace-to-face and home visitsTelephone, video, and e-consultations
    GP consultationsIRR95% CIP-valueIRR95% CIP-valueIRR95% CIP-value
    Change in consultation rates by variable (2020 versus 2019)b0.890.85 to 0.92<0.0010.160.14 to 0.19<0.0012.762.33 to 3.27<0.001
    Age category, yearsc<0.001<0.0010.421
    0–40.810.73 to 0.88<0.0010.240.20 to 0.28<0.0012.602.14 to 3.15<0.001
    5–170.650.59 to 0.71<0.0010.120.10 to 0.14<0.0012.191.81 to 2.65<0.001
    18–490.910.83 to 1.000.0410.160.14 to 0.19<0.0012.772.30 to 3.34<0.001
    50–690.890.81 to 0.970.0080.160.14 to 0.19<0.0012.762.29 to 3.33<0.001
    70–840.960.87 to 1.050.3240.190.16 to 0.22<0.0012.842.35 to 3.42<0.001
    ≥851.050.96 to 1.160.2650.240.21 to 0.29<0.0012.782.30 to 3.36<0.001
    Mental health statusc<0.0010.6870.229
    Good mental health0.840.80 to 0.87<0.0010.160.14 to 0.18<0.0012.612.25 to 3.03<0.001
    Poor mental health1.061.01 to 1.100.0220.170.14 to 0.19<0.0012.972.56 to 3.44<0.001
    Shielding statusc<0.0010.0320.644
    Non shielding0.860.81 to 0.91<0.0010.160.14 to 0.18<0.0012.672.29 to 3.11<0.001
    Shielding1.091.03 to 1.160.0040.200.17 to 0.23<0.0012.812.41 to 3.27<0.001
    Sexc0.4110.7760.718
    IMD quintilec0.8950.8670.940
    Ethnicityc0.6360.0760.108
    Nurse/paramedic consultationsIRR95% CIP -valueIRR95% CIP-valueIRR95% CIP-value
    Change in consultation rates by variable (2020 versus 2019)b0.830.76 to 0.91<0.0010.540.49 to 0.59<0.0015.513.81 to 7.97<0.001
    Age category, yearsc0.003<0.0010.835
    0–41.000.85 to 1.170.9750.830.70 to 0.980.0265.713.98 to 8.18<0.001
    5–170.620.53 to 0.73<0.0010.290.25 to 0.35<0.0014.713.32 to 6.68<0.001
    18–490.870.74 to 1.020.0810.530.45 to 0.62<0.0016.664.79 to 9.27<0.001
    50–690.890.76 to 1.040.1540.570.48 to 0.67<0.0015.744.13 to 7.98<0.001
    70–840.860.74 to 1.010.0640.560.48 to 0.66<0.0015.543.97 to 7.73<0.001
    ≥850.830.71 to 0.970.0210.510.44 to 0.61<0.0015.513.90 to 7.78<0.001
    Mental health statusc0.0170.0120.966
    Good mental health0.830.75 to 0.92<0.0010.540.49 to 0.59<0.0015.784.24 to 7.87<0.001
    Poor mental health0.990.90 to 1.100.8900.650.58 to 0.72<0.0015.724.17 to 7.86<0.001
    Shielding statusc0.0010.0010.222
    Non shielding0.830.73 to 0.940.0030.530.46 to 0.60<0.0015.283.75 to 7.44<0.001
    Shielding1.151.01 to 1.310.0310.730.63 to 0.84<0.0017.134.99 to 10.19<0.001
    Sexc0.3900.8730.727
    IMD quintilec0.9580.9260.879
    Ethnicityc0.1630.1110.924
    • ↵a Table 2 shows output from the negative binomial models.

    • ↵b The overall changes in consulting in 2020 compared to 2019 are presented.

    • ↵c P-values for the interaction between consulting year and patient characteristics are presented. Changes in consulting rates are only presented by the different levels of a patient characteristic for characteristics if the interaction P-value is <0.05 for at least one of the three outcome models. IMD = Index of Multiple Deprivation. IRR = incidence rate ratio.

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.2020.0948_suppl.pdf
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British Journal of General Practice: 71 (704)
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Implementation of remote consulting in UK primary care following the COVID-19 pandemic: a mixed-methods longitudinal study
Mairead Murphy, Lauren J Scott, Chris Salisbury, Andrew Turner, Anne Scott, Rachel Denholm, Rhys Lewis, Geeta Iyer, John Macleod, Jeremy Horwood
British Journal of General Practice 2021; 71 (704): e166-e177. DOI: 10.3399/BJGP.2020.0948

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Implementation of remote consulting in UK primary care following the COVID-19 pandemic: a mixed-methods longitudinal study
Mairead Murphy, Lauren J Scott, Chris Salisbury, Andrew Turner, Anne Scott, Rachel Denholm, Rhys Lewis, Geeta Iyer, John Macleod, Jeremy Horwood
British Journal of General Practice 2021; 71 (704): e166-e177. DOI: 10.3399/BJGP.2020.0948
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Keywords

  • general practitioners
  • online consultation
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  • telephone consultation
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