苏里南共和国的疾病分布情况--利用国家卫生基金会2017年报销数据库进行的药物流行病学分析。

Journal of public health and epidemiology Pub Date : 2021-10-01 Epub Date: 2021-11-30
Vinoj H Sewberath Misser, Arti Shankar, Ashna Hindori-Mohangoo, Jeffrey Wickliffe, Maureen Lichtveld, Dennis R A Mans
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引用次数: 0

摘要

我们确定了苏里南 2017 年处方药的使用模式,目的是了解该国疾病的分布情况。苏里南国家健康基金会(Staatsziekenfonds,SZF)的理赔数据库被用于计算50种最常用处方药的总体处方率,以及根据被保险人的性别、年龄和居住地进行分层后的处方率。数据库中的信息已被去标识化,处方药已根据解剖治疗化学分类系统进行了编码。用正态理论方法进行双样本比例检验和χ2拟合优度检验(P < 0.05),评估处方率之间的统计学差异。此外,还使用了 Bonferroni 调整法来调整多重比较导致的 1 型误差膨胀。总体而言,心血管系统、呼吸系统和肌肉骨骼系统药物的处方率最高(p < 0.001)。此外,女性处方率普遍高于男性,老年组高于年轻组,沿海地区高于内陆地区(p < 0.001)。这些结果与文献中的数据基本一致,支持使用这种药物流行病学方法来评估苏里南的疾病分布情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The distribution of disease in the Republic of Suriname - A pharmacoepidemiological analysis using the claims database of the State Health Foundation of the year 2017.

The patterns of prescription drug use in Suriname in the year 2017 have been determined with the purpose of obtaining indications about the distribution of disease in the country. The claims database of the State Health Foundation (Staatsziekenfonds, SZF) of Suriname was used for calculations of prescription rates of the fifty most prescribed drugs overall and after stratification according to gender, age, and residence of the insured persons. Information in the database had been de-identified, and the prescribed medicines had been coded according to the Anatomic Therapeutic Chemical Classification System. Statistically significant differences among the prescription rates were assessed with the two samples test of proportions using normal theory method and χ2 Goodness of Fit tests (p < 0.05). Additionally, the Bonferroni adjustment was used to adjust for type 1 error inflation resulting from multiple comparisons. Overall, drugs for the cardiovascular, respiratory, and musculo-skeletal systems had the highest prescription rates (p < 0.001). Furthermore, rates were generally higher in females than in males, in the older age groups than in younger individuals, and in the coastal regions compared to the country's interior (p < 0.001). These findings are largely in line with data found in the literature and support the use of this pharmacoepidemiological approach to assess the distribution of disease in Suriname.

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