纽约市医院出院后的COVID-19患者远程监测

D. Copeland, E. Eisenberg, C. Edwards, N. Shah, C. Powell
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引用次数: 0

摘要

理由:COVID-19肺炎住院后出院的患者再入院和死亡风险高。在大流行早期,我们注意到许多在COVID - 19肺炎初步改善后出院的患者随后因进行性低氧性呼吸衰竭再次入院。因此,我们实施了远程患者监测计划,以跟踪COVID- 19住院后的脉搏血氧测量、心率和呼吸困难。目标有两个:通过迅速让病情稳定的患者出院来优化医院的利用和资源,并通过在家中继续密切监测来提高患者出院后的安全性。方法:如果患者出院回家,可以使用智能手机并在住院期间需要补充氧气,则符合90天远程监测的条件。纳入的患者接受了一个支持蓝牙的Nonin 3230脉搏血氧仪,并安装了一个由patientMpower, Ltd.提供的用于输入呼吸困难症状的移动应用程序。提示患者每天两次检查氧合和输入症状。记录的数据传输到监控门户,异常记录触发警报,所有数据由APP (Advanced Practice Provider)审查,并联系有警报的患者。对警报的反应包括改变用药方案、调整供氧、加快随访安排和急诊室转诊。在安排的出院后肺科医生预约时审查远程监测数据。结果:在20年4月28日至20年11月30日期间,西奈山医院有111名患者参加了远程监测项目,其中87名(78%)参与者至少提供了一次输入。平均年龄60岁(SD±14),男性占59%。中位设备使用时间为84天,64%的患者报告监测期间血氧饱和度≤91%。53%的患者报告至少有一次呼吸困难。每月平均有46.4次警报,其中大多数是由血氧饱和度(95%)引起的,每月有49次外展尝试。表1总结了这些数据。结论:我们描述了2019冠状病毒病大流行期间在纽约市一家三级保健中心成功实施的远程监测计划。我们的主观经验是,远程监控患者的能力增加了医生在加快医学稳定患者出院时的舒适度。该程序警报反映了肺部状况恶化的时期,并引发了相互作用,使提供者和患者之间有了更持续的联系。我们的下一步是利用长期监测的数据,深入了解COVID-19患者的康复情况,并确定与出院后再入院和死亡率相关的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Post COVID-19 Remote Patient Monitoring Following Discharge from NYC Hospital
RATIONALE: Patients discharged after hospitalization for COVID-19 pneumonia are at high risk for readmission and mortality. Early in the pandemic we noted that many patients discharged after initial improvement of their COVID pneumonia were subsequently readmitted with progressive hypoxemic respiratory failure. Therefore, we implemented a remote patient monitoring program to track pulse oximetry, heart rate and dyspnea after COVID- 19 hospitalization. The goal was twofold: to optimize hospital utilization and resources by expeditiously discharging stable patients and to improve patient safety after discharge with continued close monitoring at home. METHODS: Patients were eligible for 90-day remote monitoring if they were being discharged home, could access a smart phone and required supplemental oxygen during hospitalization. Enrolled patients received a Bluetooth enabled Nonin 3230 pulse oximeter and installed a mobile application provided by patientMpower, Ltd. for input of dyspnea symptoms. Patients were prompted to check oxygenation and input symptoms twice daily. Recorded data was transmitted to a monitoring portal;abnormal recordings triggered an alert;all data was reviewed by an APP (Advanced Practice Provider) and patients with alerts were contacted. Responses to alerts included change in medication regimen, adjustment of oxygen delivery, expedited follow-up visit scheduling, and emergency room referral. Remote monitoring data were reviewed at the scheduled post-discharge pulmonologist appointment. RESULTS: Between 4/28/20 and 11/30/20, 111 patients at Mount Sinai Hospital were enrolled in the remote monitoring program with 87 (78%) participants providing at least one entry. The mean age was 60 years (SD ± 14) and 59% were male. The median device usage was 84 days with 64% of patients reporting an oxygen saturation ≤ 91% during monitoring. 53% of patients reported at least one instance of dyspnea. There were on average 46.4 alerts per month with the majority stemming from oxygen saturations <95% and 49 outreach attempts a month. Table 1 summarizes these data. CONCLUSIONS: We describe the successful implementation of a remote monitoring program at a tertiary care center in NYC during the COVID-19 pandemic. Our subjective experience is that the ability to remotely monitor patients increased provider comfort when expediting discharges of medically stable patients. The program alerts reflected periods of worsening pulmonary status and triggered interactions that provided more continuous contact between providers and patients. Our next steps are to leverage the data from prolonged monitoring to gain insights into the recovery of COVID-19 patients and to determine factors associated with post discharge readmissions and mortality. .
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