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利用地理救援时间轮廓、即时护理策略和空间护理路径,为岛屿社区应对全球变暖、海平面上升和恶劣天气灾害做好准备。

Using geographic rescue time contours, point-of-care strategies, and spatial care paths to prepare island communities for global warming, rising oceans, and weather disasters.

机构信息

Fulbright Scholar 2020-2022, ASEAN Program, Point-of-Care Testing Center for Teaching and Research (POCT•CTR), Pathology and Laboratory Medicine, School of Medicine, University of California, Davis, CA, 95616, USA.

Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada.

出版信息

Int J Health Geogr. 2023 Dec 20;22(1):38. doi: 10.1186/s12942-023-00359-y.

Abstract

OBJECTIVES

To perform geographic contour analysis of sea and land ambulance rescue times in an archipelago subject to super typhoons; to design point-of-care testing strategies for medical emergencies and weather disasters made more intense by global warming and rising oceans; and to assess needs for prehospital testing on spatial care paths that accelerate decision making, increase efficiency, improve outcomes, and enhance standards of care in island nations.

METHODS

We performed needs assessments, inspected healthcare facilities, and collected ambulance rescue times from professionals in the Bantayan Archipelago, Philippines. We mapped sea/land ambulance rescue routes and time contours. To reveal gaps, we statistically compared the fastest and slowest patient rescue times from islands/islets and barangays to the District Hospital on Bantayan Island. We developed spatial care paths (the fastest routes to care) for acute myocardial infarction, community care, and infectious diseases. We generated a compendium of prehospital diagnostic testing and integrated outcomes evidence, diagnostic needs, and public health goals to recommend point-of-care strategies that build geographic health resilience.

RESULTS

We observed limited access to COVID-19 assays, absence of blood gas/pH testing for critical care support, and spatial gaps in land and airborne rescues that worsened during inclement weather and sea swells. Mean paired differences (slowest-fastest) in ambulance rescue times to the District Hospital for both islands and barangays were significant (P < 0.0001). Spatial care path analysis showed where point-of-care cardiac troponin testing should be implemented for expedited care of acute myocardial infarction. Geospatial strengths comprised distributed primary care that can be facilitated by point-of-care testing, logical interisland transfers for which decision making and triage could be accelerated with onboard diagnostics, and healthcare networks amenable to medical advances in prehospital testing that accelerate treatment.

CONCLUSIONS

Point-of-care testing should be positioned upstream close to homes and island populations that have prolonged rescue time contours. Geospatially optimized point-of-need diagnostics and distributed prehospital testing have high potential to improve outcomes. These improvements will potentially decrease disparities in mortality among archipelago versus urban dwellers, help improve island public health, and enhance resilience for increasingly adverse and frequent climate change weather disasters that impact vulnerable coastal areas. [350 words].

摘要

目的

对受超强台风影响的群岛的海陆救护车救援时间进行地理轮廓分析;针对因全球变暖、海平面上升而加剧的医疗紧急情况和天气灾害设计即时检测策略;评估在加速决策、提高效率、改善预后和提高岛国护理标准的空间护理路径上进行院前检测的需求。

方法

我们进行了需求评估,检查了医疗设施,并从菲律宾班塔延群岛的专业人员那里收集了救护车救援时间。我们绘制了海上/陆地救护车救援路线和时间轮廓图。为了揭示差距,我们从岛屿/小岛和 barangays 到班塔延岛上的区医院对最快和最慢的患者救援时间进行了统计学比较。我们为急性心肌梗死、社区护理和传染病制定了空间护理路径(最快的护理路径)。我们编制了一份院前诊断检测和综合结果证据、诊断需求和公共卫生目标的简编,以推荐能够建立地理卫生弹性的即时检测策略。

结果

我们观察到获取 COVID-19 检测的机会有限,重症监护支持缺乏血气/pH 检测,陆地和空中救援存在空间差距,恶劣天气和海浪汹涌时情况恶化。到区医院的救护车救援时间的最慢-最快配对差异在岛屿和 barangays 中均具有统计学意义(P < 0.0001)。空间护理路径分析表明,应在何处实施即时心脏肌钙蛋白检测,以加快急性心肌梗死的治疗。地理空间优势包括分布广泛的初级保健,可以通过即时检测来促进;对于逻辑上的岛际转移,可以通过 onboard 诊断来加速决策和分诊;以及易于接受院前检测医疗进步的医疗网络,这些进步可以加速治疗。

结论

即时检测应放置在靠近家庭和具有延长救援时间轮廓的岛屿人口的上游位置。地理空间优化的即时需求诊断和分布式院前检测具有提高预后的巨大潜力。这些改进可能会降低群岛居民与城市居民之间的死亡率差异,有助于改善岛屿公共卫生,并增强对影响脆弱沿海地区的日益不利和频繁的气候变化天气灾害的弹性。[350 字]

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1025/10731708/db3f41a31a9b/12942_2023_359_Fig1_HTML.jpg

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