Population, workforce, and organisational characteristics affecting appointment rates: a retrospective cross-sectional analysis in primary care.

BACKGROUND

The 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.

AIM

To identify population, workforce, and organisational predictors of practice variations in appointment volume.

DESIGN AND SETTING

A multivariable cross-sectional regression analysis of 6284 general practices in England was undertaken using data from August-October 2022.

METHOD

Multivariable 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.

RESULTS

Appointment 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.

CONCLUSION

Higher 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.

Informations de copyright

© The Authors.