Clinical Research, Investigation and Systems Modeling of Acute Illness Center, and the Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Emergency Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Clinical Research, Investigation and Systems Modeling of Acute Illness Center, and the Department of Critical Care Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Ann Emerg Med. 2018 Aug;72(2):147-155. doi: 10.1016/j.annemergmed.2018.02.018. Epub 2018 Mar 29.
Regional, coordinated care for time-sensitive and high-risk medical conditions is a priority in the United States. A necessary precursor to coordinated regional care is regions that are actionable from clinical and policy standpoints. The Dartmouth Atlas of Health Care, the major health care referral construct in the United States, uses regions that cross state and county boundaries, limiting fiscal or political ownership by key governmental stakeholders in positions to create incentive and regulate regional care coordination. Our objective is to develop and evaluate referral regions that define care patterns for patients with acute myocardial infraction, acute stroke, or trauma, yet also preserve essential political boundaries.
We developed a novel set of acute care referral regions using Medicare data in the United States from 2011. For acute myocardial infraction, acute stroke, or trauma, we iteratively aggregated counties according to patient home location and treating hospital address, using a spatial algorithm. We evaluated referral political boundary preservation and spatial accuracy for each set of referral regions.
The new set of referral regions, the Pittsburgh Atlas, had 326 distinct regions. These referral regions did not cross any county or state borders, whereas 43.1% and 98.1% of all Dartmouth Atlas hospital referral regions crossed county and state borders. The Pittsburgh Atlas was comparable to the Dartmouth Atlas in measures of spatial accuracy and identified larger at-risk populations for all 3 conditions.
A novel and straightforward spatial algorithm generated referral regions that were politically actionable and accountable for time-sensitive medical emergencies.
在美国,针对时间敏感且高危的医疗病症进行区域性协调护理是当务之急。实现协调区域性护理的必要前提是,从临床和政策角度来看,这些区域具有可操作性。达特茅斯医疗保健地图集(Dartmouth Atlas of Health Care)是美国主要的医疗保健转诊结构,它使用跨越州和县界的区域,限制了关键政府利益相关者在创造激励和监管区域护理协调方面的财政或政治所有权。我们的目标是开发和评估转诊区域,以定义急性心肌梗死、急性中风或创伤患者的护理模式,但同时也要保留重要的政治边界。
我们使用美国 2011 年的医疗保险数据开发了一套新的急性护理转诊区域。对于急性心肌梗死、急性中风或创伤,我们根据患者的家庭住址和治疗医院地址,使用空间算法迭代地对县进行分组。我们评估了每一组转诊区域的转诊政治边界保护和空间准确性。
新的转诊区域——匹兹堡地图集(Pittsburgh Atlas)有 326 个不同的区域。这些转诊区域没有跨越任何县或州的边界,而达特茅斯地图集中 43.1%和 98.1%的医院转诊区域都跨越了县和州的边界。匹兹堡地图集在空间准确性方面与达特茅斯地图集相当,并为所有 3 种病症确定了更大的高危人群。
一种新颖而直接的空间算法生成了具有政治可操作性和对时间敏感的医疗紧急情况负责的转诊区域。