Parsons Iain T, Wheatley R J, Carter P
Department of Critical Care, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, UK 5 Medical Regiment, Gaza Barracks, Hipswell, North Yorkshire, UK.
5 Medical Regiment, Gaza Barracks, Hipswell, North Yorkshire, UK.
J R Army Med Corps. 2016 Feb;162(1):50-5. doi: 10.1136/jramc-2014-000369. Epub 2015 Jun 4.
Exercise ASKARI SERPENT (Ex AS) is a British Army exercise that provides primary healthcare (PHC) to Kenyan civilians in support of local health authorities. It is conducted in partnership with the Kenya Defence Force Medical Services (KDFMS). Accurate epidemiological data is critical in planning the exercise and for any future short-notice contingency operations in similar environments. This paper reports epidemiological data for Ex AS using a novel data collection system.
PHC on Ex AS was delivered by trained and validated combat medical technicians (CMTs) using a set of Read-coded protocols. The CMTs were also directly supported and supervised by medical officers and nurses.
A total of 3093 consultations were conducted over a 16-day period. Of these, 2707 (87.5%) consultations fell within the remit of the CMT protocols, with only 386 consultations (12.5%) being conducted exclusively by the medical officers or nurses.
A Read-coded matrix built on CMT protocols is a simple and useful tool, particularly in civilian populations, for collecting morbidity data with the vast majority of conditions accounted for in the protocols. It is anticipated that such a system can better inform training, manning, medical material and pharmaceutical procurement than current category-based morbidity surveillance systems such as EPINATO (NATO epidemiological data). There is clear advantage to directly linking data capture to treatment algorithms. Accuracy, both in terms of numbers and condition, is likely improved. Data is also captured contemporaneously rather than after indeterminate time. Read coding has the added benefit of being an established electronic standard. In addition, the system would support traditional reporting methods such as EPINATO by providing increased assurance.
“阿斯卡里蛇”演习（Ex AS）是英国陆军开展的一项演习，旨在为肯尼亚平民提供初级医疗保健（PHC），以支持当地卫生当局。该演习是与肯尼亚国防军医疗服务部（KDFMS）合作进行的。准确的流行病学数据对于演习规划以及未来在类似环境中开展的任何短时间应急行动都至关重要。本文报告了使用新型数据收集系统获取的“阿斯卡里蛇”演习的流行病学数据。
“阿斯卡里蛇”演习中的初级医疗保健由经过培训且经验证的战斗医疗技术人员（CMT）使用一套读取编码协议提供。CMT 还直接得到医务人员和护士的支持与监督。
在为期 16 天的时间里共进行了 3093 次会诊。其中，2707 次（87.5%）会诊属于 CMT 协议的范围，只有 386 次会诊（12.5%）由医务人员或护士单独进行。
基于 CMT 协议构建的读取编码矩阵是一种简单且有用的工具，特别是在平民群体中，用于收集发病率数据，协议涵盖了绝大多数病症。预计与当前基于类别的发病率监测系统（如 EPINATO（北约流行病学数据））相比，这样的系统能更好地为培训、人员配备、医疗物资和药品采购提供信息。将数据采集直接与治疗算法相联系具有明显优势。在数量和病症方面的准确性可能会提高。数据也是在同一时间采集的，而不是在不确定的时间之后。读取编码还有一个额外的好处，即它是一种既定的电子标准。此外，该系统将通过提供更高的可信度来支持诸如 EPINATO 等传统报告方法。
