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Lessons Learned from Efforts to Reduce Overuse of Cardiac Telemetry Monitoring

机译:从努力中汲取经验教训,以减少过度使用心脏遥测监测

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Background: Inappropriate use of telemetry monitoring is common, increasing costs, false alarms, and length of stay. TheSociety of Hospital Medicine and Choosing Wisely encourage the use of discontinuation protocols.Methods: This quality improvement initiative measured the impact of an educational intervention and distribution ofperformance reports for physicians and residents on the general medicine ser vice. The inter vention group received a 15-minute didactic session on appropriate indications for telemetry followed by weekly performance reports for 78 weeks. Asegmented linear regression model and Student’s t -test were used to determine intervention effects on percentage of patientson telemetry and telemetry orders lasting more than 48 hours.Results: Prior to the intervention, 4.8% of patients received telemetry monitoring; 13.4% of telemetry orders exceeded 48hours. The control service had a baseline telemetry utilization of 2.4%; 1.2% of telemetry orders exceeded 48 hours. After theintervention, 3.9% of patients received telemetry monitoring; 10.6% of telemetry orders exceeded 48 hours. The controlservice had a postintervention telemetry utilization of 2.1%; 1.1% of telemetry orders exceeded 48 hours. The Student’st -test showed a statistically significant ( p = 0.002) decrease in telemetry ordering rate on the inter vention ser vice and nosignificant change in the control group. However, when using segmented linear regression analysis, these changes could notbe attributed to the intervention nor were there any significant changes in balancing metrics.Conclusion: Education and weekly performance feedback did not significantly impact telemetry according to segmentedlinear regression results. Segmented linear regression analysis of an interrupted time series yielded significantly differentresults from a pre-post comparison using Student’s t-test. Rigorous evaluation is vital to decreasing unnecessary care andsuccessful reduction in unnecessary care may require interventions that capitalize on systems-level change.
机译:背景:遥测监测不适当使用是常见的,提高成本,假警报和逗留时间。这医院医学协会明智地鼓励使用中断协议。方法:这种质量改善举措测量了教育干预和分配的影响一般医学委员会的医生和居民的绩效报告。 Ventent小组接受了15-关于遥测的适当迹象的微小教学会议,然后是每周绩效报告78周。一种分段线性回归模型和学生的T -Test用于确定患者百分比的干预效果在遥测和遥测订单上持续超过48小时。结果:在干预之前,4.8%的患者接受了遥测监测; 13.4%的遥测订单超过48小时。控制服务的基准遥测利用率为2.4%; 1.2%的遥测订单超过48小时。之后干预,3.9%的患者接受遥测监测; 10.6%的遥测订单超过48小时。控制服务的介绍遥测利用率为2.1%; 1.1%的遥测订单超过48小时。学生们T -Test在ventents ser副副副本上显示了统计上显着的(p = 0.002)减少了遥测订单率下降对照组的重大变化。但是,在使用分段线性回归分析时,这些变化不会归因于干预,平衡度量的介入也没有任何重大变化。结论:教育和每周绩效反馈根据细分的情况没有显着影响遥测线性回归结果。分段的中断时间序列的线性回归分析产生显着不同使用学生的T检验前比较后的结果。严格的评估对于减少不必要的护理至关重要不必要的护理成功减少可能需要利用系统级变革的干预措施。

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