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The development and impact of a pediatric antiinfective decision support tool.

机译:儿科抗感染决策支持工具的开发和影响。

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摘要

Computerized medical decision support tools have been shown to improve the quality of care and have been cited as one method to reduce pharmaceutical errors by the Institute of Medicine. An existing adult antiinfective decision support tool was enhanced by adding medical logic to make it appropriate for pediatric patients.; Pediatric modifications to the medical logic and new antiinfective and dosage recommendations were implemented into the decision support tool. Measurements of appropriate antiinfective use, antiinfective costs, the rate of adverse drug events secondary to antiinfectives, antimicrobial-bacterial susceptibility mismatches, and pharmacy staff interventions for antiinfective agents were prospectively monitored during a six-month control and a six-month intervention period. Mandatory use of the decision support tool was initiated for all antiinfective orders in a 26-bed pediatric intensive (PICU) during the intervention period. Clinician opinions of the decision support tool were surveyed at the end of the intervention period.; The patient populations during both the control period (n = 809) and the intervention period (n = 949) were similar with respect to their PICU and hospital lengths of stay, severity of illness, risk of mortality, and total hospital costs. The intervention group was significantly younger (5.5 years vs. 6.2 years, p 0.05), and a greater percentage were treated with antibiotics (66.5 percent vs. 60.2 percent, p 0.01). There was not a significant difference in type of antiinfectives ordered, or the number of antiinfectives, or antiinfective doses. Neither was there a difference in the rate of adverse drug events, or antibiotic-bacterial susceptibility mismatches. However, the rate of pharmacy interventions on erroneous drug doses declined by 59 percent from 35.5 to 14.5 interventions per 1000 patient-antiinfective courses (p 0.01). The rate of antiinfective subtherapeutic patient days decreased by 36 percent from 7.4 to 4.7 subtherapeutic days per 100 patient days (p 0.0001), and the rate of excessive-dose days declined by 28 percent from 8.5 to 6.1 excessive-dose days per 100 patient days (p 0.0001). Additionally, the number of orders placed per antibiotic course decreased 11.5 percent from an average of 1.56 to 1.38 orders/pt-antiinfective (p 0.01), and the robust estimate of the antiinfective costs per patient decreased 9 percent from {dollar}86.60 to {dollar}78.43 (p 0.05). These data are supported by the surveyed clinicians who cited the dosage calculation assistance to be most helpful, and reported the program improved their antiinfective agent choices, increased their awareness of impairments in renal function, and reduced the likelihood of adverse drug events.; Use of the pediatric antiinfective decision support tool in a PICU was considered beneficial to patient care by the clinicians, and positively impacted the rates of erroneous drug orders and antiinfective sub- and supratherapeutic risk-days.
机译:计算机医学决策支持工具已被证明可以改善护理质量,并被医学研究所称为减少药物错误的一种方法。现有的成人抗感染决策支持工具通过增加医学逻辑使其适合于小儿患者而得到了增强。小儿对医学逻辑的修改以及新的抗感染和剂量建议已纳入决策支持工具。在6个月的对照和6个月的干预期间,前瞻性地监测了适当的抗感染使用,抗感染费用,抗感染继发的不良药物事件发生率,抗微生物细菌敏感性不匹配以及药房人员对抗感染剂的干预措施。在干预期间,对26张床位的小儿重症监护病房(PICU)中的所有抗感染医嘱开始强制使用决策支持工具。在干预期结束时,对临床医生对决策支持工具的意见进行了调查。对照期(n = 809)和干预期(n = 949)的患者人数在其重症监护病房(CUCU)和住院时间,疾病严重程度,死亡风险以及总住院费用方面相似。干预组明显更年轻(5.5岁vs. 6.2岁,p <0.05),并且接受抗生素治疗的比例更高(66.5%vs. 60.2%,p <0.01)。订购的抗感染药的类型,抗感染药的数量或抗感染剂量没有显着差异。药物不良事件发生率或抗生素-细菌敏感性不匹配率均无差异。但是,每千例患者抗感染疗程中,针对错误药物剂量的药房干预率从35.5降低到14.5,下降了59%(p <0.01)。每100个病人日的抗感染亚治疗天数从7.4个亚疗天减少到4.7个亚疗天,减少了36%(p <0.0001),每100个病人的过量用药天数从8.5个减至6.1天减少了28%天(p <0.0001)。此外,每个抗生素疗程的订购数量从平均1.56份/ pt-抗感染药减少了11.5%(p <0.01),每名患者的抗感染费用的可靠估算从{86.60美元}降低了9%。 {美元} 78.43(p <0.05)。这些数据得到接受调查的临床医生的支持,他们引用了剂量计算帮助最为有用,并报告说该程序改善了他们的抗感染药选择,提高了他们对肾功能损害的认识,并减少了药物不良事件的可能性。临床医生认为在PICU中使用儿科抗感染决策支持工具对患者的护理有益,并且对错误的药物订购率以及抗感染亚治疗和超治疗风险日产生了积极影响。

著录项

  • 作者

    Mullett, Charles Jacob.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Health Sciences Medicine and Surgery.; Health Sciences Pharmacy.; Computer Science.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 149 p.
  • 总页数 149
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 药剂学;自动化技术、计算机技术;
  • 关键词

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