ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2023
Population, workforce, and organisational characteristics affecting appointment rates: a retrospective cross-sectional analysis in primary care.
Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Screening for atrial fibrillation with or without general practice involvement: a controlled study.BMC primary care · 2025Trial
- Geospatial Visualisation of Distance to General Practitioner Facilities with Population Density Patterns in the United Kingdom.Epidemiologia (Basel, Switzerland) · 2026Article
- Interprofessional teams and capacity in collaborative primary care: a rapid scoping review.Systematic reviews · 2026Article
- Scale, Skill-Mix, and Access Implications of the Production of Appointments by Primary Care Practices in England.Health economics · 2026Article
- Patterns in GP appointment systems: a cluster analysis of 3480 English practices.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025Article
- Drivers of primary care appointment volumes before and after the COVID-19 pandemic: a longitudinal study.BMC health services research · 2025Article
- Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe recent publication of data on appointment volumes for all general practices in England has enabled representative analysis of factors affecting appointment activity rates for the first time.
aimTo identify population, workforce, and organisational predictors of practice variations in appointment volume. DESIGN AND
settingA multivariable cross-sectional regression analysis of 6284 general practices in England was undertaken using data from August-October 2022.
methodMultivariable regression analyses was conducted. It related population age and deprivation, numbers of GPs, nurses, and other care professionals, and organisation characteristics to numbers of appointments by staff type and to proportions of appointments on the same or next day after booking.
resultsAppointment levels were higher at practices serving rural areas. Practices serving more deprived populations had more appointments with other care professionals but not GPs. One additional full-time equivalent (FTE) GP was associated with an extra 175 appointments over 3 months. Additional FTEs of other staff types were associated with larger differences in appointment rates (367 appointments per additional nurse and 218 appointments per additional other care professional over 3 months). There was evidence of substitution between staff types in appointment provision. Levels of staffing were not associated with proportions of same-or next-day appointments.
conclusionHigher staffing levels are associated with more appointment provision, but not speed of appointment availability. New information on activity levels has shown evidence of substitution between GPs and other care professionals in appointment provision and demonstrated additional workload for practices serving deprived and rural areas.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.