Variations in GP nursing home patient workload: results of a multivariate analysis.
The number of old people living in UK nursing homes has increased substantially over the past 15 y. There is evidence that such patients generate larger workloads for primary carers than do those of similar age and sex living in their own homes. Clearly, any extra workload involved in providing primary care services to nursing home patients, needs to be reflected in the resources afforded general practitioners (GPs) who are tasked with its provision. By the same token variations in workloads between patients need to be examined and explained for any insights these might provide on funding issues. To examine and explain variations in GP workload associated with nursing home patients and determine the implications of these for GP funding, a 12 month case control study of all nursing home residents over 65 y old registered with nine general practices was undertaken. A multivariate regression analysis was used to examine variations in GP workload associated with 270 nursing home patients. Multivariate regression models explaining the variation in workload cost per month in terms of the GP practice delivering care and patients age and sex had little explanatory power (R(2)=0.07). A fuller method including the patient's Barthel score and initial diagnosis as additional explanatory variables added little to the explanatory power of the model (R(2)=0.12). The ability of the multivariate models used here to explain the variation in GP workload was poor. GPs may require an allowance to compensate for differences in workload associated with nursing home patients but adjusting these payments for differences in age, sex, initial diagnosis or the other variables included in this analysis would not appear to be supported.
O'Neill
C
C
School of Public Policy, Economics and Law, University of Ulster at Jordanstown, Northern Ireland. c.oneill@ulst.ac.uk
Groom
L
L
Avery
A J
AJ
Boot
D
D
Thornhill
K
K
D000368:Aged; D016022:Case-Control Studies; D004739:England; D005194:Family Practice / Q000191:economics / Q000706:statistics & numerical data*; D005260:Female; D006707:Homes for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D009735:Nursing Homes / Q000706:statistics & numerical data*; D012044:Regression Analysis; D016526:Workload