Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.
Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, USA.
Trials. 2020 Jun 5;21(1):480. doi: 10.1186/s13063-020-04335-w.
The prevalence of inadequate symptom control among cancer patients is quite high despite the availability of definitive care guidelines and accurate and efficient assessment tools.
We will conduct a hybrid type 2 stepped wedge pragmatic cluster randomized clinical trial to evaluate a guideline-informed enhanced, electronic health record (EHR)-facilitated cancer symptom control (E2C2) care model. Teams of clinicians at five hospitals that care for patients with various cancers will be randomly assigned in steps to the E2C2 intervention. The E2C2 intervention will have two levels of care: level 1 will offer low-touch, automated self-management support for patients reporting moderate sleep disturbance, pain, anxiety, depression, and energy deficit symptoms or limitations in physical function (or both). Level 2 will offer nurse-managed collaborative care for patients reporting more intense (severe) symptoms or functional limitations (or both). By surveying and interviewing clinical staff, we will also evaluate whether the use of a multifaceted, evidence-based implementation strategy to support adoption and use of the E2C2 technologies improves patient and clinical outcomes. Finally, we will conduct a mixed methods evaluation to identify disparities in the adoption and implementation of the E2C2 intervention among elderly and rural-dwelling patients with cancer.
The E2C2 intervention offers a pragmatic, scalable approach to delivering guideline-based symptom and function management for cancer patients. Since discrete EHR-imbedded algorithms drive defining aspects of the intervention, the approach can be efficiently disseminated and updated by specifying and modifying these centralized EHR algorithms.
ClinicalTrials.gov, NCT03892967. Registered on 25 March 2019.
尽管有明确的护理指南和准确有效的评估工具,癌症患者的症状控制不足仍然很普遍。
我们将进行混合 2 型 2 步楔形实用集群随机临床试验,以评估一种基于指南的增强型、电子病历(EHR)促进的癌症症状控制(E2C2)护理模式。照顾各种癌症患者的五家医院的临床医生团队将分阶段随机分配到 E2C2 干预组。E2C2 干预有两个护理级别:第 1 级将为报告中度睡眠障碍、疼痛、焦虑、抑郁和能量不足症状或身体功能受限(或两者兼有)的患者提供低接触、自动化自我管理支持。第 2 级将为报告更强烈(严重)症状或功能受限(或两者兼有)的患者提供护士管理的协作护理。通过调查和访谈临床工作人员,我们还将评估采用多方面、基于证据的实施策略来支持 E2C2 技术的采用和使用是否可以改善患者和临床结果。最后,我们将进行混合方法评估,以确定在接受和实施 E2C2 干预方面,老年和农村地区癌症患者是否存在差异。
E2C2 干预为癌症患者提供了一种实用、可扩展的方法,以提供基于指南的症状和功能管理。由于离散的 EHR 嵌入式算法驱动了干预的定义方面,因此可以通过指定和修改这些集中式 EHR 算法来有效地传播和更新该方法。
ClinicalTrials.gov,NCT03892967。于 2019 年 3 月 25 日注册。