Mayes Kristin, Talisa Victor B, Malito Adelina, Mayr Florian B, Williams Kelly, Char Kalpana, Wadas Richard, Lorenzi Elizabeth, Viele Kert, Awdish Rana, Angus Derek C, Chang Chung-Chou Ho, Yende Sachin
University of Pittsburgh Medical Center, Center for High-Value Health Care, Pittsburgh, PA, USA.
The Clinical Research, Investigation, and Systems Modeling of Acute Illness (CRISMA) Center, Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, USA.
Contemp Clin Trials Commun. 2025 Jun 19;46:101504. doi: 10.1016/j.conctc.2025.101504. eCollection 2025 Aug.
The months following hospitalization for sepsis and lower respiratory tract infection can often be very difficult for patients. Many will have subsequent clinical deterioration, which for some requires hospital readmission while, for others, transition to hospice care may be more appropriate. Unfortunately, there is a lack of high-quality evidence regarding how best to support patients in this period. Remote patient monitoring (RPM) technology can allow patients to remain at home yet be monitored for early signs of clinical deterioration. However, what should be monitored, and how any response should be coordinated, is unclear. We designed a pragmatic adaptive randomized clinical trial to determine the effect of four post-discharge RPM strategies comprising low vs. high intensity monitoring and standard versus enhanced care team response on 90-day hospital readmission rates.
Adults admitted to the hospital with sepsis or lower respiratory tract infection (index admission) are recruited and randomized to usual care (structured telephonic support [STS]) or one of four post-discharge RPM care models in addition to STS. The primary outcome is home days, a composite endpoint of 90-day mortality and the number of days a patient spends at home within 90 days after discharge to home from the index admission. Hospital readmissions will be measured primarily by health insurance claims data. Secondary endpoints, such as functional status and health-related quality of life, will be measured at baseline and 90 days. An adaptive randomization process is run quarterly, improving patients' chances to be randomized to the highest-performing intervention arms.
The study evaluates different post-discharge monitoring and workforce strategies to increase home days. With a large, representative sample and pragmatic adaptive study design, this research aims to deliver key insights into effective remote discharge monitoring technology and workforce deployment, benefiting patients, providers, and payers.
This trial is registered at clinicaltrials.gov (NCT04829188). https://clinicaltrials.gov/study/NCT04829188. Date of registration: January 4, 2021.
脓毒症和下呼吸道感染患者住院后的几个月通常对他们来说非常艰难。许多患者随后会出现临床病情恶化,有些患者需要再次入院治疗,而对另一些患者来说,转至临终关怀可能更为合适。不幸的是,关于在此期间如何最好地支持患者,缺乏高质量的证据。远程患者监测(RPM)技术可以让患者居家,但仍能对其进行监测,以发现临床病情恶化的早期迹象。然而,应该监测哪些内容,以及如何协调任何应对措施,尚不清楚。我们设计了一项实用的适应性随机临床试验,以确定四种出院后RPM策略(包括低强度与高强度监测以及标准与强化护理团队反应)对90天再入院率的影响。
招募因脓毒症或下呼吸道感染入院(首次入院)的成年人,并将其随机分为接受常规护理(结构化电话支持[STS])或除STS外的四种出院后RPM护理模式之一。主要结局是居家天数,这是一个综合终点,包括90天死亡率以及患者从首次入院出院回家后90天内居家的天数。再入院情况将主要通过医疗保险理赔数据进行衡量。次要终点,如功能状态和健康相关生活质量,将在基线和90天时进行测量。适应性随机过程每季度进行一次,提高患者被随机分配到表现最佳干预组的机会。
该研究评估不同的出院后监测和人员配置策略,以增加居家天数。通过大规模、具有代表性的样本和实用的适应性研究设计,本研究旨在为有效的远程出院监测技术和人员配置提供关键见解,使患者、医疗服务提供者和付款人受益。
本试验已在clinicaltrials.gov(NCT04829188)注册。https://clinicaltrials.gov/study/NCT04829188。注册日期:2021年1月4日。