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Waiting lists, waiting times and admissions: an empirical analysis at hospital and general practice level

  • Frank Windmeijer

    ()

    (Institute for Fiscal Studies and University of Bristol)

  • Hugh Gravell
  • Pierre Hoonhout

We report an empirical analysis of the responses of the supply and demand for secondary care to waiting list size and waiting times. Whereas previous empirical analyses have used data aggregated to area level, our analysis is novel in that it focuses on the supply responses of a single hospital and the demand responses of the GP practices it serves, and distinguishes between outpatient visits, inpatient admissions, daycase treatment and emergency admissions. The results are plausible and in line with the theoretical model. For example: the demand from practices for outpatient visits is negatively affected by waiting times and distance to the hospital. Increases in waiting times and waiting lists lead to increases in supply; the supply of elective inpatient admissions is affected negatively by current emergency admissions and positively by lagged waiting list and waiting time. We use the empirical results to investigate the dynamic responses to one off policy measures to reduce waiting times and lists by increasing supply.

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Paper provided by Institute for Fiscal Studies in its series IFS Working Papers with number W04/35.

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Length: 29 pp.
Date of creation: Dec 2004
Date of revision:
Handle: RePEc:ifs:ifsewp:04/35
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  1. Hugh Gravelle & Peter Smith & Ana Xavier, 2003. "Performance signals in the public sector: the case of health care," Oxford Economic Papers, Oxford University Press, vol. 55(1), pages 81-103, January.
  2. Gravelle, Hugh & Dusheiko, Mark & Sutton, Matthew, 2002. "The demand for elective surgery in a public system: time and money prices in the UK National Health Service," Journal of Health Economics, Elsevier, vol. 21(3), pages 423-449, May.
  3. repec:rus:hseeco:122140 is not listed on IDEAS
  4. Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
  5. Lindsay, Cotton M & Feigenbaum, Bernard, 1984. "Rationing by Waiting Lists," American Economic Review, American Economic Association, vol. 74(3), pages 404-17, June.
  6. Frank Windmeijer & Hugh Gravell & Pierre Hoonhout, 2004. "Waiting lists, waiting times and admissions: an empirical analysis at hospital and general practice level," IFS Working Papers W04/35, Institute for Fiscal Studies.
  7. Stephen Martin & Peter C. Smith, 2003. "Using panel methods to model waiting times for National Health Service surgery," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 166(3), pages 369-387.
  8. Smith, Peter C. & van Ackere, Ann, 2002. "A note on the integration of system dynamics and economic models," Journal of Economic Dynamics and Control, Elsevier, vol. 26(1), pages 1-10, January.
  9. J.A. Goddard & M. Tavakoli, 1998. "Referral rates and waiting lists: some empirical evidence," Health Economics, John Wiley & Sons, Ltd., vol. 7(6), pages 545-549.
  10. Croxson, B. & Propper, C. & Perkins, A., 2001. "Do doctors respond to financial incentives? UK family doctors and the GP fundholder scheme," Journal of Public Economics, Elsevier, vol. 79(2), pages 375-398, February.
  11. Martin, Stephen & Smith, Peter C., 1999. "Rationing by waiting lists: an empirical investigation," Journal of Public Economics, Elsevier, vol. 71(1), pages 141-164, January.
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