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利用地理空间映射对成熟创伤系统中的分诊不足进行全面分析。

A comprehensive analysis of undertriage in a mature trauma system using geospatial mapping.

机构信息

From the Trauma and Acute Care Surgery (G.M., M.H., C.T.B., M.M., E.B., F.B.R.), Penn Medicine Lancaster General Health, Lancaster, Pennsylvania; and Department of Surgery, University of Texas Health Science Center at Tyler (A.C.), UT Health East Texas, Tyler, Texas.

出版信息

J Trauma Acute Care Surg. 2021 Jul 1;91(1):77-83. doi: 10.1097/TA.0000000000003113.

Abstract

INTRODUCTION

The correct triage of trauma patients to trauma centers (TCs) is essential. We sought to determine the percentage of patients who were undertriaged within the Pennsylvania (PA) trauma system and spatially analyze areas of undertriage (UTR) in PA for all age groups: pediatric, adult, and geriatric. We hypothesized that there would be certain areas that had high UTR for all age groups.

METHODS

From 2003 to 2015, all admissions from the Pennsylvania Trauma Systems Foundation registry and those meeting trauma criteria (International Classification of Diseases, Ninth Diseases: 800-959) from the Pennsylvania Health Care Cost Containment Council (PHC4) database were included. Admissions were divided into age groups: pediatric (<15 years), adult (15-64 years), and geriatric (≥65 years). All pediatric trauma cases were included from the Pennsylvania Trauma Systems Foundation and PHC4 registry, while only cases with Injury Severity Score of >9 were included in adult and geriatric age groups. Undertriage was defined as patients not admitted to level I/II adult TCs (n = 24), pediatric (n = 3), or adult and pediatric combined facility (n = 3) divided by the total number of patients from the PHC4 database. ArcGIS Desktop (version 10.7; ESRI, Redlands, CA) and GeoDa (version 1.14.0; CSDS, Chicago, IL) open source license were used for geospatial mapping of UTR with a spatial empirical Bayesian smoothed UTR by zip code tabulation area (ZCTA) and Stata (version 16.1; Stata Corp., College Station, TX) for statistical analyses.

RESULTS

There were significant percentages of UTR for all age groups. One area of high UTR for all age groups had TCs and large nontrauma centers in close proximity. There were high rates of UTR for all ages in rural areas, specifically in the upper central regions of PA, with limited access to TCs.

CONCLUSION

It appears there are two patterns leading to UTR. The first is in areas where TCs are in close proximity to large competing nontrauma centers, which may lead to inappropriate triage. The second has to do with lack of access to TCs. Geospatial mapping is a valuable tool that can be used to ascertain where trauma systems should focus scarce resources to decrease UTR.

LEVEL OF EVIDENCE

Epidemiological, level III; Care management, level III.

摘要

简介

对创伤患者进行正确的分诊至创伤中心(TC)至关重要。我们旨在确定宾夕法尼亚州(PA)创伤系统中分诊不足的患者比例,并对所有年龄段(儿科、成人和老年)的 PA 分诊不足区域进行空间分析。我们假设某些区域在所有年龄段都会出现高分诊不足的情况。

方法

从 2003 年到 2015 年,我们纳入了宾夕法尼亚州创伤系统基金会登记处的所有入院患者和宾夕法尼亚州医疗保健费用控制委员会(PHC4)数据库中符合创伤标准(国际疾病分类,第 9 版:800-959)的患者。将入院患者分为儿科(<15 岁)、成人(15-64 岁)和老年(≥65 岁)三个年龄组。所有儿科创伤病例均来自宾夕法尼亚州创伤系统基金会和 PHC4 登记处,而仅在成人和老年年龄组中纳入损伤严重程度评分>9 的病例。分诊不足定义为未收入 I/II 级成人 TC(n=24)、儿科(n=3)或成人和儿科联合设施(n=3)的患者数量与 PHC4 数据库中患者总数的比值。ArcGIS Desktop(版本 10.7;ESRI,Redlands,CA)和 GeoDa(版本 1.14.0;CSDS,芝加哥,IL)开源许可证用于根据邮政编码区(ZCTA)进行分诊不足的地理空间映射,并使用 Stata(版本 16.1;Stata Corp.,College Station,TX)进行统计分析。

结果

所有年龄组均存在显著的分诊不足比例。一个所有年龄组都有高分诊不足的区域是 TC 和大型非创伤中心紧邻。在农村地区,特别是在宾夕法尼亚州中北部地区,所有年龄段的分诊不足率都很高,由于缺乏 TC 资源,这些地区很难获得 TC。

结论

似乎存在两种导致分诊不足的模式。第一种是在 TC 与大型竞争非创伤中心相邻的区域,这可能导致分诊不当。第二种是与获得 TC 的机会不足有关。地理空间映射是一种有价值的工具,可以用来确定创伤系统应将稀缺资源集中在何处,以减少分诊不足。

证据水平

流行病学,III 级;护理管理,III 级。

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