Rice N, Dixon P, Lloyd D C, Roberts D
Centre for Health Economics, University of York, York Y01 5DD.
BMJ. 2000 Jan 29;320(7230):284-8. doi: 10.1136/bmj.320.7230.284.
To develop a weighted capitation formula for setting target allocations for prescribing expenditures for health authorities and primary care groups in England.
Regression analysis relating prescribing costs to the demographic, morbidity, and mortality composition of practice lists.
8500 general practices in England.
Data from the 1991 census were attributed to practice lists on the basis of the place of residence of the practice population.
Variation in age, sex, and temporary resident originated prescribing units (ASTRO(97)-PUs) adjusted net ingredient cost of general practices in England for 1997-8 modelled for the impact of health and social needs after controlling for differences in supply.
A needs gradient based on the four variables: permanent sickness, percentage of dependants in no carer households, percentage of students, and percentage of births on practice lists. These, together with supply characteristics, explained 41% of variation in prescribing costs per ASTRO(97)-PU adjusted capita across practices. The latter alone explained about 35% of variation in total costs per head across practices.
The model has good statistical specification and contains intuitively plausible needs drivers of prescribing expenditure. Together with adjustments made for differences in ASTRO(97)-PUs the model is capable of explaining 62% (35%+0.65% (41%)) of variation in prescribing expenditure at practice level. The results of the study have formed the basis for setting target budgets for 1999-2000 allocations for prescribing expenditure for health authorities and primary care groups.
制定一个加权人头计算公式,用于为英格兰的卫生当局和初级保健团体设定处方支出的目标分配。
将处方成本与医疗机构名单上的人口统计学、发病率和死亡率构成进行回归分析。
英格兰的8500家全科诊所。
1991年人口普查数据根据诊所人口的居住地分配到各诊所名单上。
1997 - 1998年英格兰全科诊所按年龄、性别和临时居民来源处方单位(ASTRO(97)-PU)调整后的净成分成本,在控制供应差异后模拟健康和社会需求的影响。
基于四个变量形成需求梯度:长期疾病、无照料家庭中受抚养人的百分比、学生百分比以及诊所名单上的出生百分比。这些变量与供应特征一起,解释了各诊所每ASTRO(97)-PU调整后人均处方成本变化的41%。仅供应特征就解释了各诊所人均总成本变化的约35%。
该模型具有良好的统计规范,包含直观合理的处方支出需求驱动因素。结合对ASTRO(97)-PU差异所做的调整,该模型能够解释诊所层面处方支出变化的62%(35% + 0.65%×(41%))。该研究结果为设定1999 - 2000年卫生当局和初级保健团体处方支出分配的目标预算奠定了基础。