Abstract
OBJECTIVE--To explore the possibility of using routine Hospital Episode Statistics, census data, and vital statistics to derive weights for an equitable capitation formula for setting general practitioner fundholding budgets for buying acute hospital services. DESIGN--Analysis of a routine dataset of 9 million hospital episodes in 1991-2, extracting elective general practitioner fundholding procedures, combined with 1991 census variables, vital statistics, and data on supply of health care at ward level. Costs were attached to each procedure according to the average cost of the relevant "Mersey" band category. MAIN OUTCOME MEASURES--Variation in age and sex adjusted expenditure per head on fundholding procedures across wards modelled for the impact of health and social needs variables after adjusting for variations in supply. RESULTS--No sensible simple model including determinants of use other than age and sex could be derived. The most parsimonious but statistically acceptable model showed that though standardised mortality ratio and self reported illness and several social class variables were associated with utilisation, the signs and the size of the coefficients were contradictory. The most important explanation of variation was provided by age and sex differences between wards. CONCLUSIONS--An equitable system of setting general practitioner fundholders' budgets is needed. In the short term age and sex weighted capitation should form the principal basis of fundholder budgets. Utilisation data at ward level are inadequate for developing a formula which adequately adjusts for the differences in the health care needs of populations. A capitation formula based on information derived from individual cohort data may be the only means of promoting equity and efficiency and of avoiding discriminating against patients with known high cost health problems.
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- Coulter A. Fundholding general practices. BMJ. 1992 Feb 15;304(6824):397–398. doi: 10.1136/bmj.304.6824.397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dixon J. Can there be fair funding for fundholding practices? BMJ. 1994 Mar 19;308(6931):772–775. doi: 10.1136/bmj.308.6931.772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dixon J., Dinwoodie M., Hodson D., Dodd S., Poltorak T., Garrett C., Rice P., Doncaster I., Williams M. Distribution of NHS funds between fundholding and non-fundholding practices. BMJ. 1994 Jul 2;309(6946):30–34. doi: 10.1136/bmj.309.6946.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Epstein A. M., Cumella E. J. Capitation payment: using predictors for medical utilization to adjust rates. Health Care Financ Rev. 1988 Fall;10(1):51–69. [PMC free article] [PubMed] [Google Scholar]
- Garfinkel S. A., Riley G. F., Iannacchione V. G. High-cost users of medical care. Health Care Financ Rev. 1988 Summer;9(4):41–52. [PMC free article] [PubMed] [Google Scholar]
- Glennerster H., Matsaganis M. The UK health reforms: the fundholding experiment. Health Policy. 1993 Mar;23(3):179–191. doi: 10.1016/0168-8510(93)90056-u. [DOI] [PubMed] [Google Scholar]
- Matsaganis M., Glennerster H. The threat of 'cream skimming' in the post-reform NHS. J Health Econ. 1994 Mar;13(1):31–60. doi: 10.1016/0167-6296(94)90003-5. [DOI] [PubMed] [Google Scholar]
- Newhouse J. P. Rate adjusters for Medicare under capitation. Health Care Financ Rev. 1986;(Spec No):45–55. [PMC free article] [PubMed] [Google Scholar]
- Payne J. N., Coy J., Patterson S., Milner P. C. Is use of hospital services a proxy for morbidity? A small area comparison of the prevalence of arthritis, depression, dyspepsia, obesity, and respiratory disease with inpatient admission rates for these disorders in England. J Epidemiol Community Health. 1994 Feb;48(1):74–78. doi: 10.1136/jech.48.1.74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scheffler R. Adverse selection: the Achilles heel of the NHS reforms. Lancet. 1989 Apr 29;1(8644):950–952. doi: 10.1016/s0140-6736(89)92520-8. [DOI] [PubMed] [Google Scholar]
- Thomas J. W., Lichtenstein R. Functional health measure for adjusting health maintenance organization capitation rates. Health Care Financ Rev. 1986 Spring;7(3):85–95. [PMC free article] [PubMed] [Google Scholar]
- Van de Ven W. P., Van Vliet R. C. How can we prevent cream skimming in a competitive health insurance market? The great challenge for the 90's. Dev Health Econ Public Policy. 1992;1:23–46. doi: 10.1007/978-94-011-2392-1_2. [DOI] [PubMed] [Google Scholar]
- van Vliet R. C., van de Ven W. P. Capitation payments based on prior hospitalizations. Health Econ. 1993 Jul;2(2):177–188. doi: 10.1002/hec.4730020210. [DOI] [PubMed] [Google Scholar]
- van Vliet R. C., van de Ven W. P. Towards a capitation formula for competing health insurers. An empirical analysis. Soc Sci Med. 1992 May;34(9):1035–1048. doi: 10.1016/0277-9536(92)90134-c. [DOI] [PubMed] [Google Scholar]