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BMJ 2005;331:1449-1451 (17 December), doi:10.1136/bmj.331.7530.1449
Daniel Mackay, research fellow1, Matt Sutton, professor of health economics2, Graham Watt, professor of general practice1
1 General Practice and Primary Care, Division of Community Based Sciences, University of Glasgow, Glasgow G12 9LX, 2 Health Economics Research Unit, University of Aberdeen, Aberdeen AB25 2ZD
Correspondence to: GWatt gcmw1j{at}clinmed.gla.ac.uk
We ranked general practice populations using a modified version of the Scottish Indices of Deprivation 2003,1 including currently available data for education, income, and employment, but excluding data for access and health. We used practice mean values to divide the population into 10 groups of equal size, from tenth 1 (least deprived) to tenth 10 (most deprived). We analysed the deprivation related distribution of population health indicators, practice characteristics, and participation in voluntary development schemes, using data for 2001-2 (table).
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By design, the composite deprivation index increases across tenths with the largest increase between tenths 9 and 10. All three measures of ill health show a significant positive trend and greater than 2.5-fold variation across tenths.
On average, populations of 530 000 people were served by 353 whole time equivalent general practitioner principals, with little variation between tenths. The total whole time equivalent of general practitioners, however, including non-principals and doctors in training, was 11% higher (437.1 v 392.0, P < 0.001) in tenths 1-5 (least deprived) compared with tenths 6-10 (most deprived).
On average, each tenth was served by 105 general practices, with larger numbers of practices in the most rural (tenth 2) and deprived (tenth 10) areas. This reflects the higher proportion of single handed and small practices in such areas. General practitioners' partnerships in deprived areas also have lower average ages and a higher proportion without a female general practitioner.
Variation between affluent and deprived areas is more than twofold (tenths 1-3 v 7-10, P < 0.001) in the proportion of practices involved in training general practitioners. Although younger general practitioners are more likely to work in deprived areas, it is less likely that they could have been trained there.
Potential markers of quality general practice, such as practice accreditation (see www.rcgp-scotland.org.uk/products/practice.asp), and enhanced data collection schemes, such as the Scottish Programme for Improving Clinical Effectiveness (SPICE, see www.ceppc.org/spice/index.shtml), were 80% (P < 0.001) and 90% (P < 0.001) more common, respectively, in the more affluent practices (tenths 1-3) than in the more deprived practices (tenths 7-10).
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Although the Personal Medical Services initiative was launched with the intention of improving clinical care in rural and deprived areas,2 participation was 2.2 times more common in affluent areas (P < 0.001).
These activities are not centrally distributed but are taken up by practices that volunteer. Practices serving the most deprived areas are less likely to volunteer, possibly because they are so consumed by dealing with increased levels of morbidity, without increased levels of medical manpower, that they are unable or unwilling to take on additional activities.3
The patterns described in this paper are generally hidden from public view, as a result of the convention of reviewing healthcare services at the level of large administrative areas, with substantial social heterogeneity. A different focus is required to monitor the leading edges of primary care development.
Arguably, the greatest challenge facing any national health service aiming for the equitable delivery of high quality care is to develop the best examples of care and the most attractive professional career opportunities in populations where need is greatest.4 The NHS has much more to do in tackling this challenge.
Contributors: DM, MS, and GW jointly contributed to the design and interpretation of the study and the writing of the paper. DM and MS collated the data, and DM undertook the analysis. GW wrote the final version of the paper with contributions from DM and MS. GW is guarantor.
Funding: DM and MS were funded by the Platform Project when the majority of this work was undertaken. The Platform Project is a collaborative venture between the Universities of Aberdeen, Dundee, Edinburgh, and Glasgow, with ISDScotland and the Royal College of General Practitioners. It was jointly funded by the Chief Scientist Office (RDG HR01012) and the Scottish Higher Education Funding Council (OOB/3/67). Competing interests: None declared.
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