McGuire Thomas G, Alegria Margarita, Cook Benjamin L, Wells Kenneth B, Zaslavsky Alan M
Department of Health Care Policy, Harvard Medical School, 180 Longwood Ave., Boston, MA 02115, USA.
Health Serv Res. 2006 Oct;41(5):1979-2005. doi: 10.1111/j.1475-6773.2006.00583.x.
In a recent report, the Institute of Medicine (IOM) defines a health service disparity between population groups to be the difference in treatment or access not justified by the differences in health status or preferences of the groups. This paper proposes an implementation of this definition, and applies it to disparities in outpatient mental health care.
Health Care for Communities (HCC) reinterviewed 9,585 respondents from the Community Tracking Study in 1997-1998, oversampling individuals with psychological distress, alcohol abuse, drug abuse, or mental health treatment. The HCC is designed to make national estimates of service use.
Expenditures are modeled using generalized linear models with a log link for quantity and a probit model for any utilization. We adjust for group differences in health status by transforming the entire distribution of health status for minority populations to approximate the white distribution. We compare disparities according to the IOM definition to other methods commonly used to assess health services disparities.
Our method finds significant service disparities between whites and both blacks and Latinos. Estimated disparities from this method exceed those for competing approaches, because of the inclusion of effects of mediating factors (such as income) in the IOM approach.
A rigorous definition of disparities is needed to monitor progress against disparities and to compare their magnitude across studies. With such a definition, disparities can be estimated by adjusting for group differences in models for expenditures and access to mental health services.
在最近的一份报告中,医学研究所(IOM)将人群组之间的卫生服务差异定义为治疗或可及性方面的差异,而这种差异不能由各人群组在健康状况或偏好方面的差异来解释。本文提出了对这一定义的一种实施方式,并将其应用于门诊心理健康护理中的差异情况。
社区卫生保健(HCC)在1997 - 1998年对社区追踪研究中的9585名受访者进行了再次访谈,对有心理困扰、酗酒、药物滥用或接受过心理健康治疗的个体进行了过度抽样。HCC旨在对服务使用情况进行全国性估计。
使用广义线性模型对支出进行建模,其中数量采用对数链接,任何使用情况采用概率单位模型。我们通过将少数族裔人群的整个健康状况分布进行转换,使其接近白人分布,来调整健康状况的组间差异。我们将根据IOM定义得出的差异与其他常用于评估卫生服务差异的方法进行比较。
我们的方法发现白人与黑人和拉丁裔之间存在显著的服务差异。由于IOM方法纳入了中介因素(如收入)的影响,该方法估计的差异超过了其他竞争方法得出的差异。
需要一个严格的差异定义来监测在减少差异方面的进展,并在不同研究之间比较差异的程度。有了这样一个定义,就可以通过在支出模型和心理健康服务可及性模型中调整组间差异来估计差异。