确定安大略省的地理区域,以评估目前到医院的成年人与实验室定义的条件:一项描述性研究。

CMAJ open Pub Date : 2019-10-01 DOI:10.9778/cmajo.20190065
Carina Iskander, E. McArthur, D. Nash, Sonja Gandhi-Banga, M. Weir, F. Muanda, A. Garg
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引用次数: 14

摘要

背景2007年,引入了一个名为安大略省实验室信息系统(OLIS)的电子存储库,使医疗保健提供者能够及时获取实验室检测结果。由于并非所有实验室都开始同时向OLIS提交数据,我们试图创建一个与日期相关的地理区域表(前向分拣区域[FSA]),人们可能会从中前往与OLIS相关的医院。方法在这项描述性研究中,我们使用行政数据收集了安大略省2007年至2017年因任何原因向急诊科就诊的成年人。为了评估一段时间内的变化,我们将所有急诊科就诊分为财政季度。主要的结果指标是特定FSA中在与OLIS相关的医院急诊科就诊的人数比例(v.与OLIS无关的医院)。要纳入集水区,指定FSA在指定季度的所有急诊就诊中,至少90%必须发生在与OLIS相关的医院。结果截至2017年12月31日,安大略省526个FSA中有323个(61.4%)位于集水区(人口约850万)。2017年12月31日,居住在OLIS关联医院集水区内的人与居住在未关联医院集水区的人在选定的人口统计学特征或合并症方面没有差异。我们使用FSA信息构建了一个与日期相关的地理区域表,该表可能在OLIS中提供医院实验室数据,用于未来的研究。解释我们确定了安大略省的相关地理区域,人们可能会从这些区域前往与OLIS相关的医院。这些地理区域构成了一个集水区,可用于未来的研究,以捕捉在与OLIS相关的医院就诊的患有急性肾损伤、高钾血症和低钠血症等实验室定义疾病的成年人。
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Identifying Ontario geographic regions to assess adults who present to hospital with laboratory-defined conditions: a descriptive study.
BACKGROUND In 2007, an electronic repository called the Ontario Laboratories Information System (OLIS) was introduced to allow health care providers timely access to laboratory test results. Since not all laboratories began submitting their data to OLIS simultaneously, we sought to create a date-dependent table of geographic regions (forward sortation areas [FSAs]) from which people would likely present to a hospital linked to OLIS. METHODS In this descriptive study, we used administrative data to capture adults in Ontario who presented to the emergency department for any reason from 2007 to 2017. To assess changes over time, we classified all emergency department visits into fiscal quarters. The primary outcome measure was the proportion of people in a given FSA presenting to an emergency department at an OLIS-linked hospital (v. a hospital not linked to OLIS). To be included in the catchment area, at least 90% of all emergency department visits in a given quarter from a given FSA must have occurred at an OLIS-linked hospital. RESULTS By Dec. 31, 2017, 323 (61.4%) of 526 Ontario FSAs were in the catchment area (a population of about 8.5 million). There were no differences in selected demographic characteristics or comorbidities between people residing within the catchment area of OLIS-linked hospitals and those residing in the catchment area of unlinked hospitals on Dec. 31, 2017. We used the FSA information to construct a date-dependent table of geographic areas likely to have hospital laboratory data available in OLIS for future studies. INTERPRETATION We identified relevant Ontario geographic regions from which people would likely present to a hospital linked to OLIS. These geographic regions constitute a catchment area that may be used in future studies to capture adults who present to an OLIS-linked hospital with laboratory-defined conditions such as acute kidney injury, hyperkalemia and hyponatremia.
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