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General practice across England

General practice across England: Summary

Key findings on how the changes that have been made to general practice have affected its performance.

Patients waiting in a GP surgery.

General practice has changed radically in recent years. The complexion of the workforce is markedly different than before the pandemic, with far fewer GP partners but far more direct patient care staff such as pharmacists, care co-ordinators and physiotherapists. The level and type of activity of that workforce has also changed, with many more appointments being delivered in 2024 than in 2019 – far more of these are, however, now done remotely. The number of practices has also fallen, continuing a trend of more than a decade, resulting in larger patient list sizes. 

General practice holds a particular place in the minds of the public. For many, their local GP will be their first point of contact with the health system, the place they go when they or their loved ones are unwell. So understanding how the changes that have been made to it have affected its performance – and how this is perceived by the public – is important. 

On this point there is not much good news for a government that has promised to “bring back the family doctor” as part of its plans to reform the NHS. Patient satisfaction dropped precipitously during the pandemic and has barely improved since. Understanding what characteristics of practices are associated with higher satisfaction and better ‘quality and outcomes framework’ (QOF) scores will be essential to improving the picture in general practice. 

This report is the latest in the Institute for Government’s new Performance Tracker: Local series, supported by the Nuffield Foundation, that analyses the performance of England’s key public services at the subnational level. In it we use multivariate regression analysis to look at the effects of factors such as numbers and types of staff, mode of appointment, and levels of funding on metrics of general practice performance such as patient satisfaction. We conclude by offering recommendations on how the government can interpret our findings to begin to improve general practice.

Box 1 How to interpret multivariate regression analysis in this report

Throughout this report, we use multivariate regression analysis to explore relationships between practice characteristics. This allows us to assess the relationship between two variables while ‘controlling’ for other factors. For example, assessing the relationship between the number of GP partners in a practice and the proportion of patients satisfied with that practice, assuming that the number of patients in that practice, the proportion of appointments that are conducted face-to-face and the number of other staff are all held constant. This does not let us say that one characteristic causes an outcome, but it does let us see if a high level in one variable tends to go along with a high or low level in the other.

We show the variables we control for and the results from all our regressions in Appendix 1. The ‘coefficient’ column in those tables shows the size of the effect on the ‘dependent variable’ – the characteristic that we’re testing the effect on, mostly patient satisfaction in this report – from a one unit increase in the variable listed in the ‘independent variable’ column. For example, in regression 1, an additional GP partner in a practice is associated with 1.4 percentage points more patients reporting satisfaction with their GP practice, holding all other variables constant. When we discuss effects in this report, the reader should assume that we are holding all other variables equal. 

The regression analysis also shows us the likelihood that there is a relationship between the independent variables and the dependent variables. This is shown in the ‘p-value’ column. The p-value shows the probability that we would observe an effect in the direction that we do, if there was no relationship between the variables in reality. In other words, the smaller the p-value, the more likely it is there is a real relationship between the variables. Throughout this report we refer to the significance of the relationship. We say there is a ‘statistically significant relationship’ when a p-value is under 0.05. But beneath that value we have three levels of significance that are as follows:

Weak significance: 0.01

Moderate significance: 0.001

Strong significance: p<0.001

We show the results of these regressions in charts throughout the report. The dot on the chart shows the coefficient from the regression and the bars around the dot show the 95% confidence intervals for our results. This means that there is a 95% chance that the true value lies within this range. We consider results statistically significant where this range does not cross zero. Where a result is not statistically significant, it may still be informative, but may just reflect random chance, so should be interpreted with caution.

Key findings 

  • More GPs are most closely associated with both higher patient satisfaction and QOF scores.
  • The effect is strongest for GP partners (self-employed GPs that own and manage practices), then salaried GPs (who are employed as staff by a practice) and GP trainees (doctors that have finished their medical degree and are undertaking a three-year training course after which they are eligible to become either a salaried GP or GP partner): one additional GP partner in a practice is associated with a 1.4 percentage point increase in the proportion of patients reporting that their GP practice provides a good service. An additional salaried GP and GP trainee are associated with a 0.9 and 0.3 percentage point increase respectively.
  • More nurses are also associated with higher patient satisfaction, though the effect is not as strong as for GPs, with a 0.2 percentage point satisfaction increase.
  • More direct patient care (DPC) staff have no significant effect on satisfaction or QOF scores.
  • Patient satisfaction tends to increase with more GP appointments, but not significantly so with non-GP appointments.
  • Patient satisfaction is higher in practices that provide more appointments face-to-face, especially where a larger proportion of patients are aged over 65.
  • Patients report higher satisfaction in practices with smaller list sizes.
  • Other than appointments, all of these trends have gone in the opposite direction to patients’ preferences since 2019. 

We also assess the factors that are associated with practices delivering more appointments: 

  • An additional GP partner is associated with the largest increase in appointments in a practice: a rise of 4,256 GP appointments per year in a practice and a rise of 5,439 for all appointments in a practice.
  • Additional GP trainees are associated with less than a quarter as many additional appointments as a salaried GP or GP partner (1,477 total appointments in a practice).
  • An additional nurse is associated with more than twice as many appointments as an additional DPC staff member: 4,976 appointments compared to 2,279 appointments (though DPC staff carry out other, unmeasured activity).
  • Remote appointments allow staff to deliver more appointments overall, but the added patient satisfaction from additional appointments does not offset the decline in satisfaction from fewer face-to-face appointments.

Recommendations in brief 

To address waning satisfaction in general practice the government should: 

  • Urgently address some of the factors that make being a GP partner less attractive, including: the high cost of entering partnership, the unlimited financial liability that comes with most partnerships (particularly related to the ownership of premises), fears of being the ‘last partner standing’, and increasing workloads.
  • Assess whether other models could be more appropriate and plan accordingly, if it thinks that the partnership model is no longer a feasible way of delivering general practice.
  • Better understand why more GP trainees don’t join the fully qualified workforce and take action to address these problems through an updated NHS Long Term Workforce Plan.
  • Make better use of the massively expanded direct patient care workforce. As a start, it should improve the quality of data collected about their activity.
  • Better communicate the reasons for the expansion of the direct patient care workforce to the public.
  • Be clear about the role that it wants general practice to play in a reformed NHS. There is likely a trade-off between increasing access to general practice through expanded use of remote appointments and a decline in some indicators of service performance such as patient satisfaction and continuity of care. If the government does choose to prioritise access, it must communicate its reasons for doing so and attempt to mitigate some of the negative consequences.

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