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院前环境下的处方:对英国军事演习 SAIF SAREEA 3 中药物学模块 501 的回顾。这种分析能否有助于医疗资产的扩展?

Prescribing in the prehospital environment: a review of the pharmaceutical Module 501 on UK Military Exercise SAIF SAREEA 3. Can such analysis assist with the scaling of healthcare assets?

机构信息

5 Armoured Medical Regiment, British Army, Catterick Garrison, UK.

5 Armoured Medical Regiment, British Army, Catterick Garrison, UK

出版信息

BMJ Mil Health. 2020 Dec;166(6):387-390. doi: 10.1136/bmjmilitary-2019-001363. Epub 2020 Apr 27.

DOI:10.1136/bmjmilitary-2019-001363
PMID:32345682
Abstract

INTRODUCTION

Module 501 provides core medications which are fundamental to the capability of a prehospital treatment team (PHTT). The quantities of each medication in the module inventory undergo regular review, but these do not correspond to a population at risk (PAR) figure or deployment length for which they intend to be used. This article proposes how the quantities of Module 501 drugs can be scaled for a given deployment, in this example using statistics taken from static PHTTs on Exercise Saif Sareea 3 (SS3).

METHODS

The statistics were gathered using a custom-built search of electronic records from the Deployed Defence Medical Information Capability Programme in addition to written record-keeping, which were aligned to the weekly PAR at each PHTT location throughout their full operational capability periods. A quotient was then derived for each module item using a formula.

RESULTS

Among the 10 most commonly prescribed drugs were four analgesics and three antimicrobials. 42 of the 110 studied drugs were not prescribed during SS3.

DISCUSSION

The data from SS3 reflect the typical scope of disease encountered in the deployed land setting. Employing these data, the use of a formula to estimate the drug quantities needed to sustain a Strike Armoured Infantry Brigade over a 28-day period is demonstrated.

RECOMMENDATIONS

Further study of Module 501 across varied deployment environments would be valuable in evolving this approach to medicinal scaling if proven effective for the warm desert climate. It could then be applied to other modules to further inform future Strike medical planning.

LIMITATIONS

Several considerations when drawing deductions from the data are mentioned, including the inaccuracy of predictor variables taken from the EpiNATO-2 reports.

CONCLUSION

The proposed formula provides an evidence-based framework for scaling drug quantities for a deployment planning. This may improve patient safety and confer logistical, storage and fiscal benefits.

摘要

简介

模块 501 提供了核心药物,这些药物是现场治疗小组 (PHTT) 能力的基础。模块库存中每种药物的数量都经过定期审查,但这些数量与风险人群 (PAR) 或预期使用的部署长度无关。本文提出了如何根据给定的部署规模调整模块 501 药物的数量,本示例使用了演习 Saif Sareea 3 (SS3) 中静态 PHTT 中提取的统计数据。

方法

统计数据是通过对部署防御医疗信息能力计划中的电子记录进行自定义搜索以及书面记录保存收集的,这些记录与每个 PHTT 地点的每周 PAR 保持一致,直到他们完全具备作战能力。然后,使用公式为每个模块项目导出一个商数。

结果

在最常开的 10 种药物中,有 4 种镇痛药和 3 种抗生素。在 SS3 期间,110 种研究药物中有 42 种未开处方。

讨论

SS3 的数据反映了在部署的陆地环境中常见的疾病范围。利用这些数据,演示了使用公式估计维持一个装甲步兵旅在 28 天内所需药物数量的方法。

建议

如果在温暖的沙漠气候下被证明有效,那么在不同的部署环境中对模块 501 进行进一步研究,将有助于改进这种药物调整方法。然后可以将其应用于其他模块,以进一步为未来的打击医疗计划提供信息。

局限性

在从数据中得出推论时,提到了几个需要考虑的因素,包括从 EpiNATO-2 报告中获取的预测变量的准确性。

结论

提出的公式为部署规划提供了基于证据的药物数量调整框架。这可能会提高患者安全性,并带来后勤、存储和财政方面的好处。

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