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The impact of a new Emergency Department on healthcare utilization by Delaware Medicaid clients: An application of the travel cost method

机译:新成立的急诊科对特拉华医疗补助客户的医疗保健利用的影响:差旅费用法的应用

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摘要

A new Emergency Department (ED) opened in Middletown, Delaware in 2013. This research used two years of data from a balanced panel of Medicaid clients to compare healthcare utilization, including ED use, from one year before and one year after the opening of the new ED. Since out-of-pocket expenses for an ED visit are low, travel time represents one of the Medicaid client's main "costs" and can drive increased ED use, including potential over-use for non-emergent issues. This research sought to answer the following question: What was the impact of a new Emergency Department on healthcare utilization by Delaware Medicaid clients? Methods included geospatial analysis and service area computation in ArcGIS, the application of the NYU ED visit severity algorithm, logistic regression to model the likelihood of having at least one ED visit, and negative binomial regression and seemingly unrelated regression (SUR) to model the count of ED visits.;Results showed that a reduction in travel time was associated with significantly increased ED use, and lower diagnosis acuity. Medicaid clients in the vicinity of the new ED, as measured by zip code of residence and drive time calculated in ArcGIS, showed sharply increased likelihood of an ED visit and a lower acuity of the average diagnosis as estimated by the NYU ED visit severity algorithm. Utilization of other physician office visits and hospitalizations were not significantly affected, but a localized decrease in urgent care center use was observed. These results could help public health officials anticipate demand for ED services based on Medicaid clients' geographic distribution.
机译:2013年在特拉华州米德尔敦开设了一个新的急诊科(ED)。该研究使用了均衡的Medicaid客户小组的两年数据,比较了医疗机构开放前一年和开通后一年的医疗利用率,包括ED的使用。新ED。由于急诊就诊的自付费用很低,因此旅行时间是Medicaid客户的主要“成本”之一,并且可以推动急诊使用的增加,包括对非紧急问题的潜在过度使用。这项研究试图回答以下问题:成立新的急诊部门对特拉华医疗补助客户的医疗保健利用有何影响?方法包括ArcGIS中的地理空间分析和服务区计算,NYU ED访问严重程度算法的应用,对至少一次ED访问的可能性进行逻辑回归建模,负二项式回归和看似无关的回归(SUR)对计数进行建模结果表明,旅行时间的减少与ED使用量的显着增加和诊断敏锐度降低有关。根据住所的邮政编码和在ArcGIS中计算的驾驶时间,在新急诊室附近的医疗补助客户显示急诊就诊的可能性急剧增加,而根据纽约大学急诊科就诊严重程度算法估计,平均诊断的敏锐度较低。其他医师就诊和住院的使用率没有受到显着影响,但是观察到紧急护理中心使用率的局部下降。这些结果可以帮助公共卫生官员根据医疗补助客户的地理分布预测对急诊服务的需求。

著录项

  • 作者

    Gifford, Kathryn R.;

  • 作者单位

    University of Delaware.;

  • 授予单位 University of Delaware.;
  • 学科 Public policy.;Transportation.;Public health.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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