BMJ 1996;313:669-670 (14 September)

General practice

Deprivation payments to general practitioners: limitations of census data

F Azeem Majeed, lecturer in public health medicine,a David Martin, reader in geography,b Tim Crayford, lecturer in public health medicine c

a Department of Public Health Sciences, St George's Hospital Medical School, London SW17 0RE, b Department of Geography, University of Southampton, Southampton SO17 1BJ, c Department of Public Health Medicine, King's College Medical School, London SE5 9PJ

Correspondence to: Dr Majeed. a.majeed{at}sghms.ac.uk.

The census data from which deprivation payments have been calculated since June 1995 suffer from limitations including underenumeration; under counting of homeless people and refugees, and artefactual errors because of the way in which the 1991 census data were tabulated. These limitations reduced the fairness of the changes that many practices experienced in their deprivation payments. The validity of the current system of deprivation payments would be improved if these limitations were borne in mind when allocating payments to practices and if enumeration districts were used as the basis of payments rather than electoral wards.

In June 1995 the Department of Health started to use 1991 census data to allocate deprivation payments to general practices, and for many practices this resulted in large changes in their deprivation payments.1 Because of changes in social deprivation between the 1981 and 1991 censuses, some changes in the deprivation payments to general practices were inevitable. However, the census data on which deprivation payments are based have limitations. We discuss the potential effect of these limitations on deprivation payments.

Underenumeration

High levels of underenumeration occurred in areas with deprived, mobile populations, such as inner London.2 The Jarman variables most strongly influenced by underenumeration will have been "unskilled," "unemployed," and "ethnicity." The Department of Health made no attempt to estimate the effect of underenumeration on Jarman scores, and it is not known what effect adjusting for underenumeration would have on deprivation payments to general practices in areas with high levels of underenumeration. Furthermore, inner city areas--and inner London in particular--have many refugees and homeless people, categories that were not well recorded in the census. These patients may add considerably to the workload of general practitioners, but the census will contain little information on them. For this reason, practices will not receive any additional deprivation payments to compensate them for the increased workload involved in looking after homeless people and refugees.

Artefactual errors

Census data contain inaccuracies because of the way in which the data are tabulated.3 Census variables, such as those included in the Jarman score, are calculated from tables of census data. The same Jarman variable can often be calculated from data in different tables, and different tables can give slightly different values of the Jarman variables. Moreover, one of the Jarman variables, unskilled, is based on an analysis of 10% of census records and is therefore subject to sampling error. These artefactual errors will have no effect on most census wards, but in wards that are close to the cut off points for the different levels of payment the errors may be sufficient to move a census ward up or down one deprivation payment category (box). For England and Wales as a whole, the deprivation payments gained by some wards will be balanced by the payments lost by other wards. For individual practices, however, the errors may have a dramatic impact on payments and introduce a considerable element of chance into the allocation of deprivation payments.


 Potential effect on Jarman scores of sampling error in variable for unskilled

    Census wards Churchdown (in Lewisham) and Milwall (in Tower Hamlets)
 have Jarman scores around 30--29.89 and 30.12 respectively (see table).
 Because Churchdown ward has a score of under 30, general practitioners with
 patients living in the ward do not receive any deprivation payments for these
 patients. Milwall ward, however, has a score just over 30, and general practition-
 ers with patients in the ward receive lower level deprivation payments for patients
 living in the ward (£6.20 per patient--about £85 000
 in total). Because the unskilled variable is estimated from a 10% sample of census
 records, it is subject to sampling error. Substituting the values for the upper and
 lower confidence intervals for this variable in the calculation of the Jarman score
 for the two census wards is sufficient to move ward Churchdown into the low deprivation
 payment category and Milwall into the zero deprivation payments category. For Churchdown
 ward this change would result in an increase of about £58 000 and for
 Milwall ward a decrease of about £85 000 in deprivation payments to
 general practitioners with patients in these wards.
------------------------------------------------------------------------------------------------
                             Unskilled*
                          (95% confidence                      Modified
Ward          Population     interval)         Jarman score  Jarman score
------------------------------------------------------------------------------------------------
Churchdown      9 432     4.62 (3.35 to 6.19)     29.89      28.31 to 31.58
Milwall        13 772     4.75 (3.67 to 6.03)     30.12      28.82 to 31.51
------------------------------------------------------------------------------------------------
*Percentage of people in ward who lived in households where head of household was from
socioeconomic group 2.

Changes in ward boundaries

Changes in ward boundaries between censuses can alter the census data for census wards even when there is no underlying change in the socioeconomic characteristics of these wards.4 Such changes occurred in 114 of the 403 local authorities in England and Wales between the 1981 and 1991 censuses. Using enumeration districts to allocate payments would reduce the impact of boundary changes on deprivation payments because they have smaller populations and greater internal homogeneity.

Ecological fallacy

Not all people living in deprived census wards will be deprived (the ecological fallacy). Enumeration districts are more homogeneous than census wards, and the ecological fallacy would be less important in a system that based deprivation payments on enumeration districts. However, the ecological fallacy will be present whatever geographical unit is used to allocate payments, with some practices receiving payments for patients who are not deprived and other practices not receiving payments for patients who are deprived. The ecological fallacy could be eliminated by using person based data about deprivation, but this is not yet possible.

Conclusion

s

Because of the limitations of census data, the changes in deprivation payments that took place in 1995 were inappropriate and arbitrary for many general practices. The effect of these limitations would be reduced if Jarman scores for enumeration districts were used to allocate the payments, or if the number of deprivation payment categories was increased.5 Because of the inaccuracies and limitations of census data, health commissions should be given local discretion in the allocation of deprivation payments to general practices.

We thank Neil Vickers for his help.

Funding: No specific source of funding.

Conflict of interest: None.

  1. Majeed FA. Deprivation payments to general practitioners. BMJ 1995;311:1674.
  2. Balarajan R. Public health and the 1991 census. BMJ 1994;309:287-8. [Free Full Text]
  3. Majeed FA, Cook DG, Poloniecki J, Martin D. Using data from the 1991 census. BMJ 1995;310:1511-4. [Abstract/Free Full Text]
  4. Hastings A. Deprivation payments should be based on enumeration districts. BMJ 1996; 312:183-4.
  5. Crayford T, Shanks J, Bajekal M, Langford S. Analysis from inner London of deprivation payments based on enumeration districts rather than wards. BMJ 1995;311:787-8. [Abstract/Free Full Text]
(Accepted 10 May 1996)


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