...
首页> 外文期刊>International Journal of Health Sciences >Gauging Skills of Hospital Security Personnel: a Statistically-driven, Questionnaire-based Approach
【24h】

Gauging Skills of Hospital Security Personnel: a Statistically-driven, Questionnaire-based Approach

机译:医院保安人员的测量技能:一种基于统计的,基于问卷的调查方法

获取原文
           

摘要

ObjectivesThis study aims to gauge the technical and soft skills of the hospital security personnel so as to enable prioritization of their training needs.MethodologyA cross sectional questionnaire based study was conducted in December 2011. Two separate predesigned and pretested questionnaires were used for gauging soft skills and technical skills of the security personnel. Extensive statistical analysis, including Multivariate Analysis (Pillai-Bartlett trace along with Multi-factorial ANOVA) and Post-hoc Tests (Bonferroni Test) was applied.ResultsThe 143 participants performed better on the soft skills front with an average score of 6.43 and standard deviation of 1.40. The average technical skills score was 5.09 with a standard deviation of 1.44. The study avowed a need for formal hands on training with greater emphasis on technical skills. Multivariate analysis of the available data further helped in identifying 20 security personnel who should be prioritized for soft skills training and a group of 36 security personnel who should receive maximum attention during technical skills training.ConclusionThis statistically driven approach can be used as a prototype by healthcare delivery institutions worldwide, after situation specific customizations, to identify the training needs of any category of healthcare staff.
机译:目的本研究旨在评估医院保安人员的技术和软技能,以便优先考虑他们的培训需求。方法在2011年12月进行了一项基于横断面问卷的研究。使用了两个单独设计和预先测试的问卷来衡量软技能和安全人员的技术技能。进行了广泛的统计分析,包括多变量分析(Pillai-Bartlett迹线以及多因素ANOVA)和事后检验(Bonferroni检验)。结果143名参与者在软技能方面表现更好,平均得分为6.43和标准差1.40。平均技术技能得分为5.09,标准偏差为1.44。这项研究表明需要正式的培训,更侧重于技术技能。对可用数据的多变量分析进一步帮助确定了应优先进行软技能培训的20名安全人员和在技术技能培训期间应得到最大关注的36名安全人员。结论这种统计驱动的方法可以用作医疗保健的原型全球各地的医疗机构,根据具体情况进行定制后,可以确定任何类别的医护人员的培训需求。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号