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首页> 外文学位 >Automated soldier medical readiness: Prevalence of ' medically not ready' using data from the electronic soldier readiness processing system (ESRP).
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Automated soldier medical readiness: Prevalence of ' medically not ready' using data from the electronic soldier readiness processing system (ESRP).

机译：自动化士兵的医疗准备：使用电子士兵准备处理系统（ESRP）的数据，“医疗尚未准备就绪”的发生率。

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摘要

Identifying accurate numbers of soldiers determined to be medically not ready after completing soldier readiness processing may help inform Army leadership about ongoing pressures on the military involved in long conflict with regular deployment. In Army soldiers screened using the SRP checklist for deployment, what is the prevalence of soldiers determined to be medically not ready? Study group. 15,289 soldiers screened at all 25 Army deployment platform sites with the eSRP checklist over a 4-month period (June 20, 2009 to October 20, 2009). The data included for analysis included age, rank, component, gender and final deployment medical readiness status from MEDPROS database. Methods.;This information was compiled and univariate analysis using chi-square was conducted for each of the key variables by medical readiness status. Results. Descriptive epidemiology Of the total sample 1548 (9.7%) were female and 14319 (90.2%) were male. Enlisted soldiers made up 13,543 (88.6%) of the sample and officers 1,746 (11.4%). In the sample, 1533 (10.0%) were soldiers over the age of 40 and 13756 (90.0%) were age 18-40. Reserve, National Guard and Active Duty made up 1,931 (12.6%), 2,942 (19.2%) and 10,416 (68.1%) respectively. Univariate analysis. Overall 1226 (8.0%) of the soldiers screened were determined to be medically not ready for deployment. Biggest predictive factor was female gender OR (2.8; 2.57-3.28) p0.001. Followed by enlisted rank OR (2.01; 1.60-2.53) p0.001. Reserve component OR (1.33; 1.16-1.53) p0.001 and Guard OR (0.37; 0.30-0.46) p0.001. For age > 40 demonstrated OR (1.2; 1.09-1.50) p0.003. Overall the results underscore there may be key demographic groups relating to medical readiness that can be targeted with programs and funding to improve overall military medical readiness.
机译：在完成士兵准备就绪处理后，确定准确数量的被确定为尚未做好医疗准备的士兵，可能有助于告知陆军领导层，与长期部署有长期冲突的军队所承受的压力。在使用SRP检查表进行部署筛选的陆军士兵中，被确定为尚未做好医疗准备的士兵的患病率是多少？学习小组。在4个月内（2009年6月20日至2009年10月20日），通过eSRP清单在15个陆军部署平台的所有站点筛选了15289名士兵。用于分析的数据包括来自MEDPROS数据库的年龄，职级，组成，性别和最终部署的医疗就绪状态。方法：收集该信息，并根据医疗就绪状态对每个关键变量进行卡方分析进行单变量分析。结果。描述性流行病学在总样本中，女性为1548名（9.7％），男性为14319名（90.2％）。入伍士兵占样本的13,543（88.6％），而军官占1,746（11.4％）。在样本中，有1533（10.0％）是40岁以上的士兵，还有13756（90.0％）是18-40岁的士兵。预备役，国民警卫队和现役分别占1,931（12.6％），2,942（19.2％）和10,416（68.1％）。单变量分析。总计1226名（8.0％）被筛查的士兵被确定为医疗上尚未做好部署准备。最大的预测因素是女性或（2.8; 2.57-3.28）p <0.001。其次是征募等级OR（2.01; 1.60-2.53）p <0.001。储备成分OR（1.33; 1.16-1.53​​）p <0.001和Guard OR（0.37; 0.30-0.46）p <0.001。对于40岁以上的儿童，其OR为（1.2; 1.09-1.50）p <0.003。总体而言，结果突显出可能存在一些与医疗就绪相关的关键人群，这些人群可以通过计划和资金来针对，以改善总体军事医疗就绪状态。

著录项

  • 作者

    McPherson, Mark.;

  • 作者单位

    The University of Texas School of Public Health.;

  • 授予单位 The University of Texas School of Public Health.;
  • 学科 Health Sciences Medicine and Surgery.;Health Sciences Epidemiology.
  • 学位 M.P.H.
  • 年度 2010
  • 页码 37 p.
  • 总页数 37
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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