Emergency department utilization in the Texas Medicaid emergency waiver following Hurricane Katrina.

Medicare & medicaid research review Pub Date : 2012-01-15 eCollection Date: 2012-01-01 DOI:10.5600/mmrr.002.01.a01
Troy Quast, Karoline Mortensen
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引用次数: 3

Abstract

Objective: To estimate the enrollment and emergency department (ED) utilization in TexKat, the Texas Medicaid emergency waiver implemented following Hurricane Katrina.

Data sources: Individual-level enrollment and utilization data from the 2005 Medicaid Analytic Extract.

Study design: Descriptive analysis is performed on variables that describe enrollment levels, the demographic characteristics of enrollees, and the most common diagnoses in ED visits. A Poisson regression model is also employed to quantify the factors related to an enrollee's probability of having an ED visit and the average number of ED visits.

Principal findings: There were 44,246 individuals enrolled in TexKat in 2005. Roughly 13% of these enrollees had at least one ED visit during the sample period, with one quarter of these individuals having more than one visit. Across all enrollees the most common diagnosis was "other upper respiratory infection," but there were significant differences in diagnosis patterns across racial/ethnic groups. The regression analysis suggests little difference in ED utilization across genders, but significant contrasts across racial/ethnic and age groups.

Conclusions: As very little is known about Medicaid emergency waivers, our analysis may provide important information to policymakers who have to react quickly following a disaster. Our findings may help providers estimate potential increases in ED utilization and prepare for relatively common diagnoses. Furthermore, the analysis across racial/ethnic groups may help government officials identify important areas for outreach among vulnerable populations.

卡特里娜飓风后德克萨斯州医疗补助紧急豁免的急诊部门使用情况。
目的:评估在卡特里娜飓风后实施的德州医疗补助紧急豁免计划的注册人数和急诊科(ED)使用率。数据来源:2005年医疗补助分析提取的个人登记和利用数据。研究设计:对描述入组水平、入组人员的人口统计学特征和急诊科就诊中最常见诊断的变量进行描述性分析。一个泊松回归模型也被用来量化有关的因素,一个登入者的概率有一个急诊科就诊和平均就诊次数。主要发现:2005年有44,246人注册了TexKat。大约13%的参与者在样本期间至少有一次急诊科就诊,其中四分之一的人有一次以上的就诊。在所有参与者中,最常见的诊断是“其他上呼吸道感染”,但在不同种族/民族的诊断模式上存在显著差异。回归分析表明,ED的使用在性别之间差异不大,但在种族/民族和年龄组之间存在显著差异。结论:由于对医疗补助紧急豁免所知甚少,我们的分析可能为必须在灾难发生后迅速做出反应的决策者提供重要信息。我们的发现可以帮助医生估计ED使用率的潜在增长,并为相对常见的诊断做好准备。此外,跨种族/族裔群体的分析可以帮助政府官员确定在弱势群体中进行外展的重要领域。
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