使用工具变量方法调查老年医疗保险患者的社会经济剥夺和抗生素处方。

Mayar Al Mohajer, David Slusky, David Nix, Catia Nicodemo
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引用次数: 0

摘要

背景:在美国,社会经济剥夺与抗生素过度处方有关;然而,由于内生性,先前的研究无法量化因果关系。本研究利用工具变量(IV)方法,探讨了社会经济剥夺与老年医疗保险D部分受益人的抗生素天数供应率之间的关系。方法:对医疗保险D部分和社会剥夺指数(SDI)数据库的数据进行分析。为了解决SDI与抗生素处方之间关系的潜在内禀性和遗漏的变量偏差,我们使用最大劳动所得税抵免作为IV。双变量Moran's I评估了SDI与不同地理区域抗生素处方之间的空间相关性。然后,IV分析检查了预测SDI与抗生素供应天数(ln)之间的关系。线性回归模型估计了SDI及其组成部分与抗生素供应天数之间的关联,调整了处方者、受益人和地理因素。结果:在161164例患者中,SDI与抗生素供应天数之间无显著的空间依赖性(P = 0.0656)。在IV模型中,SDI每增加一个单位与抗生素供应天数(ln)增加0.582 (SE = 0.164, P < 0.0005)相关。较高的失业率和单亲家庭比例与抗生素供应天数的增加有关,而拥挤的住房与抗生素供应天数的减少有关。结论:本研究确定了社会经济剥夺可能会影响提供给医疗保险D部分受益人的抗生素天数。研究结果强调需要有针对性的公共卫生干预措施,以解决导致抗生素过度使用的社会经济因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating socioeconomic deprivation and antibiotic prescribing among older medicare patients using an instrumental variable approach.

Background: Socioeconomic deprivation has been associated with antibiotic overprescription in the US; however, prior studies could not quantify a causal relationship due to endogeneity. This study examines how socioeconomic deprivation is related to the rate of antibiotic days supplied to older Medicare Part D beneficiaries, utilizing an Instrumental Variable (IV) approach.

Methods: Data from the Medicare Part D and the Social Deprivation Index (SDI) repositories were analyzed. To address potential endogeneity and omitted variable bias in the relationship between SDI and antibiotic prescribing, we used the maximum Earned Income Tax Credit as an IV. Bivariate Moran's I assessed the spatial correlation between SDI and antibiotic prescribing across geographic regions. The IV analysis then examined the relationship between predicted SDI and antibiotic days supplied (ln). Linear regression models estimated associations between SDI and its components, and antibiotic days supplied, adjusting for prescriber, beneficiary, and geographic factors.

Results: Among 161,164, there was no significant spatial dependence between SDI and antibiotic days supplied (P = 0.0656). In the IV model, a one-unit increase in SDI was associated with a 0.582 (SE = 0.164, P < 0.0005) increase in antibiotic days supplied (ln). Higher unemployment and single-parent family rates were linked to increased antibiotic days supplied, while crowded housing was associated with a reduction.

Conclusion: This study identified that socioeconomic deprivation may influence antibiotic days supplied to Medicare Part D beneficiaries. Findings highlight the need for targeted public health interventions to address the socioeconomic factors contributing to excess antibiotic use.

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