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Research

Comparing registered and resident populations in Primary Care Networks in England: an observational study

Thomas Beaney, Gabriele Kerr, Benedict WJ Hayhoe, Azeem Majeed and Jonathan Clarke
BJGP Open 2022; 6 (4): BJGPO.2022.0037. DOI: https://doi.org/10.3399/BJGPO.2022.0037
Thomas Beaney
1 Department of Primary Care and Public Health, Imperial College London, London, UK
2 National Institute for Health Research Applied Research Collaboration Northwest London, Imperial College, London, UK
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  • ORCID record for Thomas Beaney
  • For correspondence: thomas.beaney@imperial.ac.uk
Gabriele Kerr
1 Department of Primary Care and Public Health, Imperial College London, London, UK
2 National Institute for Health Research Applied Research Collaboration Northwest London, Imperial College, London, UK
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Benedict WJ Hayhoe
1 Department of Primary Care and Public Health, Imperial College London, London, UK
2 National Institute for Health Research Applied Research Collaboration Northwest London, Imperial College, London, UK
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Azeem Majeed
1 Department of Primary Care and Public Health, Imperial College London, London, UK
2 National Institute for Health Research Applied Research Collaboration Northwest London, Imperial College, London, UK
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Jonathan Clarke
3 Department of Mathematics and Centre for Mathematics of Precision Healthcare, Imperial College London, London, UK
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    Figure 1. Schematic representation of the allocation of Lower layer Super Output Areas (LSOAs) to primary care networks (PCNs). Each circle represents a GP practice, coloured according to its PCN (red = PCN A, blue = PCN B). Each polygon represents an LSOA. The percentages in each polygon show the percentage of residents in the LSOA who are registered to practices forming part of PCN A and PCN B. The boundaries of LSOAs are coloured according to the colour of the PCN to which they are assigned by the first-past-the-post (FPTP) method
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    Figure 2. Primary care network (PCN) populations: panel A shows the percentage of the PCN registered population who are resident in the catchment of the PCN; panel B shows the percentage of each PCN catchment population who are registered to a GP practice within the PCN
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    Figure 3. Total PCN catchment population against total PCN registered population for all PCNs in England
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    Figure 4. Percentage of residents within each Lower layer Super Output Area (LSOA) registered to a GP practice in the primary care network (PCN) catchment to which the LSOA was assigned

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    Table 1. Mean percentage of residents in each Lower layer Super Output Area (LSOA) registered to a GP practice within the primary are network (PCN) catchment by urban or rural status and deprivation quintile
    Deprivation quintileUrbanRural
    Estimate95% CIEstimate95% CI
    1 (most deprived)71.370.8 to 71.889.187.1 to 91.2
    271.971.4 to 72.486.184.9 to 87.3
    373.673.0 to 74.183.482.5 to 84.3
    475.975.3 to 76.483.482.5 to 84.2
    5 (least deprived)79.579.0 to 80.187.386.5 to 88.1

Supplementary Data

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    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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Comparing registered and resident populations in Primary Care Networks in England: an observational study
Thomas Beaney, Gabriele Kerr, Benedict WJ Hayhoe, Azeem Majeed, Jonathan Clarke
BJGP Open 2022; 6 (4): BJGPO.2022.0037. DOI: 10.3399/BJGPO.2022.0037

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Comparing registered and resident populations in Primary Care Networks in England: an observational study
Thomas Beaney, Gabriele Kerr, Benedict WJ Hayhoe, Azeem Majeed, Jonathan Clarke
BJGP Open 2022; 6 (4): BJGPO.2022.0037. DOI: 10.3399/BJGPO.2022.0037
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Keywords

  • service organisation
  • Community care
  • practice organisation
  • primary health care
  • general practice
  • observational study

More in this TOC Section

  • Translating primary care to telehealth: analysis of in-person consultations on diabetes and cardiovascular disease
  • Primary care physicians’ perceptions of social determinants of health recommendations: a qualitative study
  • Ethnic minority GP trainees at risk for underperformance assessments: a quantitative cohort study
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