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Mass medication distribution for disease outbreak: comparison of personal digital assistant and paper-based decision support

机译:用于疾病暴发的大规模药物分配:个人数字助理和纸质决策支持的比较

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摘要

In a disease outbreak, medication must be rapidly yet safely distributed to a population. Are there significant differences in efficiency (time) and error rates in drug dissemination to a population using algorithm-driven paper and personal digital assistant (PDA) methodology? In this study, conducted at the University of Hawaii, mock citizens were sent through points of dispensing with volunteer clerks processing them during two sessions (alternating modes for Session 2). No significant differences were found in time or number of errors with PDA vs. paper. However, the mode and order of testing affected time. Clerks doing the paper method second were slower than those doing paper first (significant at p< 0.0001 level). The PDA was consistent in time whether clerks used it first or second. This may indicate the presence of a fatigue factor from using the paper method and may indicate that during an outbreak, when clerks are tired, using an algorithm-driven PDA may help sustain efficiency.
机译:在疾病暴发中,必须迅速但安全地将药物分发给人群。使用算法驱动的纸张和个人数字助理(PDA)方法向人群传播药物的效率(时间)和错误率是否存在显着差异?在这项由夏威夷大学进行的研究中,模拟公民在两个时段内(通过第二阶段的替代模式)被派遣了一些自愿的文员,由他们处理。 PDA与纸张相比,在时间或错误数量上没有发现显着差异。但是,测试的模式和顺序会影响时间。第二名采用书面方法的文员比第一名文书慢(在p <0.0001的水平上显着)。无论是店员第一次还是第二次使用,PDA的时间都是一致的。这可能表明使用纸质方法存在疲劳因子,并且可能表明在疫情爆发期间,当办事员感到疲倦时,使用算法驱动的PDA可能有助于维持效率。

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