Primary Care Variation in Rates of Unplanned Hospitalizations, Functional Ability, and Quality of Life of Older People

Associations of primary care workforce composition with population, professional and system outcomes: retrospective cross-sectional analysis

Background: Diversification of types of staff delivering primary care may affect professional, population and system outcomes. Aim: To estimate associations between workforce composition and outcomes. Design and Setting: Cross-sectional analysis of 6210 GP practices in England in 2019. Method: Multivariable regression analysis relating numbers of staff in four groups (GPs; Nurses; Health Professionals; and Health Associate Professionals) to patient access and satisfaction, quality of clinical care and prescribing, use of hospital services, GP working conditions, and costs to National Health Service. Results: More GPs were associated with higher satisfaction for patients and GPs, More workers of other types had opposite associations with these outcomes. More Nurses and Health Associate Professionals were associated with lower cost per prescription but more prescribing activity. More GPs were associated with higher costs per prescription and lower use of narrow-spectrum antibiotics. Except for Health Associate Professionals, more staff were associated with more hospital activity. Higher NHS costs were associated most with more Nurses and least with more Health Professionals. The effects of different staff types on outcomes were largely independent. Conclusion: Professional, population and system outcomes show a variety of associations with primary care workforce composition. More Nurses are associated with lower quality in some aspects and higher costs and activity. More Health Professionals and Health Associate Professionals associates less than additional GPs with higher costs, but is associated with lower patient and GP satisfaction.