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The resource allocation consequences of the new NHS needs formula

Author

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  • Stuart Peacock
  • Peter Smith

    (Centre for Health Economics, The University of York)

Abstract

The NHS Executive has recently implemented modifications to the weighted capitation formula for distributing Hospital and Community Health Service funds to health authorities in England. A major contribution to the changes was an analysis of the relative needs of geographical areas undertaken by a team of researchers from the University of York. That work investigated the link between social and economic circumstances and the use of NHS inpatient facilities, and resulted in the development of separate needs indices for acute and psychiatric inpatient services. This report first documents the resource allocation consequences of each of these indices, and finds that the acute index is slightly more redistributive than the previous formula, and that the psychiatric index is very much more redistributive, in particular redirecting resources into the inner cities. In implementing the work, the Department of Health had to make a judgement about which needs index to use for distributing funds not relating to inpatient use, In the event, they have chosen to allocate 64% of the total budget according to the acute index, 12% according to the psychiatric index, and 24% according to no needs index. The report notes that the use of no needs weighting for such a large block of services, which includes community and mental handicap services, can be challenged. It illustrates the importance of the issue by comparing the Department’s preferred formula with an alternative, in which the 24% is allocated using the York acute index. It is found that this option would redirect amounts of up to 5% away from the home counties towards the inner cities. While not necessarily advocating this change, the report argues that the large sums involved highlight the urgent necessity for research on the relative need for health care in non-inpatient services.

Suggested Citation

  • Stuart Peacock & Peter Smith, 1995. "The resource allocation consequences of the new NHS needs formula," Working Papers 134chedp, Centre for Health Economics, University of York.
  • Handle: RePEc:chy:respap:134chedp
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    File URL: http://www.york.ac.uk/media/che/documents/papers/discussionpapers/CHE%20Discussion%20Paper%20134.pdf
    File Function: First version, 1995
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    References listed on IDEAS

    as
    1. Royston, G. H. D. & Hurst, J. W. & Lister, E. G. & Stewart, P. A., 1992. "Modelling the use of health services by populations of small areas to inform the allocation of central resources to larger regions," Socio-Economic Planning Sciences, Elsevier, vol. 26(3), pages 169-180, July.
    2. Roy Carr-Hill & Geoffrey Hardman & Stephen Martin & Stuart Peacock & Trevor Sheldon & Peter Smith, 1994. "A formula for distributing NHS revenues based on small area use of hospital beds," Working Papers 022cheop, Centre for Health Economics, University of York.
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    Cited by:

    1. Ross Hendry, 1998. "Fair Shares for All? The development of needs based governmental funding in education, health and housing," CASE Papers case18, Centre for Analysis of Social Exclusion, LSE.
    2. Ray Thomas, 1996. "Statistics as Organizational Products," Sociological Research Online, , vol. 1(3), pages 67-76, October.
    3. Carol Propper & Simon Burgess & Denise Gossage, 2008. "Competition and Quality: Evidence from the NHS Internal Market 1991–9," Economic Journal, Royal Economic Society, vol. 118(525), pages 138-170, January.
    4. Ross Hendry, 1998. "Fair Shares for All? The development of needs based governmental funding in education, health and housing," CASE Papers 018, Centre for Analysis of Social Exclusion, LSE.
    5. Adam Oliver, 1999. "Risk Adjusting Health Care Resource Allocations," Monograph 000452, Office of Health Economics.
    6. Karen Bloor & Alan Maynard, 1995. "Equity in primary care," Working Papers 141chedp, Centre for Health Economics, University of York.

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    Keywords

    RAWP; HCHS funds; SMR;
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