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预测社区居住的黑人和白人老年人群体中处方药和非处方药使用变化的因素。

Factors predicting change in prescription and nonprescription drug use in a community-residing black and white elderly population.

作者信息

Fillenbaum G G, Horner R D, Hanlon J T, Landerman L R, Dawson D V, Cohen H J

机构信息

Center for the Study of Aging and Human Development, Duke University Medical Center, Durham, North Carolina 27710, USA.

出版信息

J Clin Epidemiol. 1996 May;49(5):587-93. doi: 10.1016/0895-4356(95)00563-3.

Abstract

The current study identifies characteristics that predict change in use of prescription and nonprescription drugs over a period of 3 years. A modified health care services use model was applied to information obtained from a probability-based sample of black (n = 1778) and white (n = 1446) community-resident elderly, interviewed in 1986-1987 and 1989-1990. Analysis was by means of logistic and ordinary least-squares regression, with sample weights and design effects taken into account. The number of users and average number of prescription drugs used increased over the 3 years, and was best predicted by extent of prior drug use, older age, white race, poorer health, and number of health care visits. Conversely, nonprescription drug use declined significantly, and was best predicted by prior use, white race, and female gender. The reduced use of prescription drugs by blacks as compared to whites is of concern, suggesting that attention is needed to assure equitable access to prescription drugs.

摘要

当前的研究确定了在3年时间里能够预测处方药和非处方药使用变化的特征。一种经过修改的医疗服务使用模型被应用于从1986 - 1987年以及1989 - 1990年接受访谈的黑人群体(n = 1778)和白人群体(n = 1446)的社区居住老年人的概率抽样样本中获取的信息。分析采用逻辑回归和普通最小二乘法回归,并考虑了样本权重和设计效应。在这3年中,使用者数量和使用的处方药平均数量有所增加,而此前的用药程度、年龄较大、白人种族、健康状况较差以及医疗就诊次数对其预测效果最佳。相反,非处方药的使用显著下降,此前的用药情况、白人种族和女性性别对其预测效果最佳。与白人相比,黑人处方药使用量减少令人担忧,这表明需要关注以确保公平获得处方药。

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