Chen Chi-Chen, Cheng Shou-Hsia
Institute of Health Policy and Management, College of Public Health, National Taiwan University, Taipei, Taiwan.
Department of Public Health, College of Medicine, Fu Jen Catholic University, Taiwan.
Health Serv Res. 2016 Aug;51(4):1670-91. doi: 10.1111/1475-6773.12417. Epub 2015 Nov 25.
To examine the effects of potentially inappropriate medication (PIM) use on health care outcomes in elderly individuals using an instrumental variable (IV) approach.
DATA SOURCES/STUDY SETTING: Representative claim data from the universal health insurance program in Taiwan from 2007 to 2010.
We employed a panel study design to examine the relationship between PIM and hospitalization. We applied both the naive generalized estimating equation (GEE) model, which controlled for the observed patient and hospital characteristics, and the two-stage residual inclusion (2SRI) GEE model, which further accounted for the unobserved confounding factors. The PIM prescription rate of the physician most frequently visited by each patient was used as the IV.
The naive GEE models indicated that patient PIM use was associated with a higher likelihood of hospitalization (odds ratio [OR], 1.399; 95 percent confidence interval [CI], 1.363-1.435). Using the physician PIM prescribing rate as an IV, we identified a stronger significant association between PIM and hospitalization (OR, 1.990; 95 percent CI, 1.647-2.403).
PIM use is associated with increased hospitalization in elderly individuals. Adjusting for unobserved confounders is needed to obtain unbiased estimates of the relationship between PIM and health care outcomes.
采用工具变量法研究潜在不适当用药(PIM)对老年人医疗保健结局的影响。
数据来源/研究背景:2007年至2010年台湾全民健康保险计划的代表性理赔数据。
我们采用面板研究设计来检验PIM与住院之间的关系。我们应用了单纯的广义估计方程(GEE)模型(该模型控制了观察到的患者和医院特征)以及两阶段残差纳入(2SRI)GEE模型(该模型进一步考虑了未观察到的混杂因素)。将每位患者就诊最频繁的医生的PIM处方率用作工具变量。
单纯的GEE模型表明,患者使用PIM与更高的住院可能性相关(比值比[OR],1.399;95%置信区间[CI],1.363 - 1.435)。将医生的PIM处方率用作工具变量,我们发现PIM与住院之间存在更强的显著关联(OR,1.990;95%CI,1.647 - 2.403)。
使用PIM与老年人住院率增加有关。需要对未观察到的混杂因素进行调整,以获得PIM与医疗保健结局之间关系的无偏估计。