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Geography of ED Use and Population Health

2021年2月4日 更新者:NYU Langone Health

Statewide Analysis of Emergency Department Use for Determining Geographic Patterns of Emergency Care Use, Hospital Choice and Measures of Population Health.

The goal of this study is to create predictive models of emergency care and metrics for population health that can be used to analyze how events like hospital closures or disasters like Hurricane Sandy affect health care utilization by patients in specific populations or geographic regions. Additionally, it will allow the development of metrics for population health that can act as surveillance mechanisms to measure disease prevalence and identify patterns in emergency department use that can be used to identify specific geographic regions where health care is either optimized to promote health or needs to be improve so that population health can be improved.

研究概览

详细说明

The purpose of this study is to analyze the geographic patterns of emergency department utilization. This study will look at the relationship that geographic proximity and local population factors have on patient use of emergency departments. Geographic proximity of alternative hospitals and elicit other patient and hospital specific factors, such as demographic, insurance type, diagnosis, and socioeconomic factors that lead patients to choose specific hospitals for emergency care or generally lead to patients accessing emergency care will be compared.

Patterns of emergency department utilization by patients will be identified in specific geographies such as Census tracts to determine clusters of high and low emergency department use. We also analyze the patterns of emergency care use based on specific disease conditions.Investigators will analyze the rate of emergency department use for patients with diabetes to determine population prevalence of diseases using emergency department data. Studying the pattern of use by specific geographies or disease conditions will also allow us to understand how emergency department use varies among populations by geographies and the socioeconomic and health care factors local to those regions.

研究类型

观察性的

注册 (实际的)

100

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习地点

    • New York
      • New York、New York、美国、10016
        • New York University School of Medicine

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

不超过 120年 (孩子、成人、年长者)

接受健康志愿者

是的

有资格学习的性别

全部

取样方法

非概率样本

研究人群

Includes all patients visiting an emergency department in New York State

描述

Inclusion Criteria:

  • Patients visiting an emergency department in New York State

Exclusion Criteria:

  • Depending on the population analyzed, may exclude some subpopulations such as children (in order study adults), prisoners or patients transferred from other healthcare facilities (in order to study non-institutionalized individuals).

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

队列和干预

团体/队列
干预/治疗
Patients visiting an emergency department in New York State
The Statewide Planning and Research Cooperative System (SPARCS) is a comprehensive data reporting system created to collect information on discharges from hospitals. SPARCS currently collects patient level detail on patient characteristics, diagnoses and treatments, services, and charges for every hospital discharge, ambulatory surgery patient, and emergency department admission in New York State.
其他名称:
  • SPARCS

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Emergency Deparrtment (ED) visit by a patient
大体时间:1 Day
In order to identify repeat ED visits by the same individual, unique identifiers within SPARCS match visits by the same individual throughout the study period
1 Day

次要结果测量

结果测量
措施说明
大体时间
Surveillance of Disease Prevalence
大体时间:1 Day
Proportion of individuals who recieve a given diagnosis like diabetes during any emergency department visit including emergency inpatient admissions.
1 Day
Extension to Other Disease Conditions and Geographies
大体时间:1 Day
Analysis of how disease prevalence can be measured at the level of the entire state. Populations will be stratified based on geography.
1 Day
Hospital Selection
大体时间:1 Day
Identification of the selection of a given hospital by patients based on facility codes contained within the SPARCS database.
1 Day

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:David Lee, MD、NYU Langone Health

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2014年8月20日

初级完成 (实际的)

2020年12月31日

研究完成 (实际的)

2020年12月31日

研究注册日期

首次提交

2017年8月16日

首先提交符合 QC 标准的

2017年8月16日

首次发布 (实际的)

2017年8月18日

研究记录更新

最后更新发布 (实际的)

2021年2月8日

上次提交的符合 QC 标准的更新

2021年2月4日

最后验证

2021年2月1日

更多信息

与本研究相关的术语

其他相关的 MeSH 术语

其他研究编号

  • 14-01408

药物和器械信息、研究文件

研究美国 FDA 监管的药品

研究美国 FDA 监管的设备产品

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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