USING GINI-STYLE INDEXES TO EVALUATE THE SPATIAL PATTERNS OF HEALTH PRACTITIONERS - THEORETICAL CONSIDERATIONS AND AN APPLICATION BASED ON ALBERTA DATA

USING GINI-STYLE INDEXES TO EVALUATE THE SPATIAL PATTERNS OF HEALTH PRACTITIONERS - THEORETICAL CONSIDERATIONS AND AN APPLICATION BASED ON ALBERTA DATA
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DOI:
10.1016/0277-9536(94)90189-9
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发表时间:
1994-05-01
影响因子:
5.4
通讯作者:
BROWN, MC
BROWN, MC
中科院分区:
医学2区
文献类型:
--
作者:
BROWN, MC

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本文分析了如何最佳使用基尼式指数的经济空间模型的评估,旨在预测医疗保健从业者可能会在竞争激烈的市场条件下定位。 在概念一级,分析表明,只有在使基尼系数值具有内部技术一致性所需的地理区域排序对模型的概念预测也有意义的情况下,基尼式指数才能对经济模型产生影响。 这反过来又意味着,基尼指数很可能被证明对相当综合的经济分析形式是有用的,涉及相对较少和较大的地理分区。 在应用层面上,分析确定,保健从业人员的一个特定的地理分布是经验上占主导地位的,这是一个分布,其中涉及最低的从业人员:农村地区的人口比例,大城市地区的比例最高,小城市地区的比例介于两者之间。 经验证据还表明,大多数类型的卫生人员的空间从业者分布是高度稳定的,使问题是否可以通过正常类型的公共政策干预改变这些分布。
The paper analyzes how Gini-style indices are optimally used in the the evaluation of economic spatial models designed to predict where health care practitioners are likely to locate under competitive market conditions. At a conceptual level, the analysis establishes that Gini-style indices can be brought to bear on economic models, only if the ordering of geographic areas required to give Gini-coefficient values internal technical coherence also has meaning in terms of the conceptual predictions of the modelling. This, in turn, implies that Gini-indices are most likely to prove useful for fairly aggregated forms of economic analysis, involving relatively few and large geographic divisions. At an applied level, the analysis establishes that one particular geographic distribution of health practitioners is empirically dominant, and that is the distribution which involves the lowest practitioner: population ratio in rural areas, and the highest ratio in large urban areas, with the ratio for small urban areas in between. The empirical evidence also suggests that the spatial practitioner distributions are highly stable for most kinds of health personnel, making it problematic whether these distributions can be changed through normal types of public policy interventions.