Sheldon T A, Smith P, Borowitz M, Martin S, Hill R C
NHS Centre for Reviews and Dissemination, University of York.
BMJ. 1994 Oct 22;309(6961):1059-64. doi: 10.1136/bmj.309.6961.1059.
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.
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.
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.
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.
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.
探讨利用常规医院病历统计数据、人口普查数据和人口动态统计数据来得出权重,以制定公平的人头费公式,用于设定全科医生购买急性医院服务的资金持有预算。
对1991 - 1992年900万例医院病历的常规数据集进行分析,提取选择性全科医生资金持有程序,结合1991年人口普查变量、人口动态统计数据以及病房层面的医疗保健供应数据。根据相关“默西”费用类别平均成本为每个程序附加成本。
在调整供应差异后,模拟各病房人头费程序人均年龄和性别调整后支出因健康和社会需求变量影响而产生的差异。
无法得出除年龄和性别外包含使用决定因素的合理简单模型。最简约但在统计学上可接受的模型显示,尽管标准化死亡率、自我报告疾病以及几个社会阶层变量与利用率相关,但系数的符号和大小相互矛盾。差异的最重要解释来自病房之间的年龄和性别差异。
需要一个公平的设定全科医生资金持有者预算的系统。短期内,年龄和性别加权人头费应成为资金持有者预算的主要基础。病房层面的使用数据不足以制定一个能充分调整人群医疗保健需求差异的公式。基于个体队列数据得出信息的人头费公式可能是促进公平和效率以及避免歧视已知有高成本健康问题患者的唯一手段。