在农村心脏病学实践中利用主动远程患者管理提高心衰疗效的益处:单点回顾性队列研究

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Medical Internet Research Pub Date : 2024-11-26 DOI:10.2196/49710
William Craig, Suzanne Ohlmann
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引用次数: 0

摘要

背景:农村人口的心力衰竭(HF)发病率和死亡率过高,这与社会经济和种族不平等有关。为了评估心衰治疗效果的改善情况,已经开展了多项使用直接接触患者和基于设备的远程患者监测(RPM)的随机对照试验,结果喜忧参半:我们旨在评估一种新型数字医疗保健平台是否能通过预防高血压再次恶化改善患者预后,从而减少急诊就诊和高血压住院治疗:这是一项使用电子病历(EMR)数据进行的单点回顾性队列研究,数据收集于 RPM 启动前 2 年和启动后 2 年。2017 年 1 月,该单中心开始使用 Cordella HF 系统,将纽约心脏协会(NYHA)II 级和 III 级易加重 HF 的 HF 患者纳入 RPM 计划。截至 2022 年 7 月,共有 93 名患者加入了 RPM。其中,87%的患者居住在农村地区。本回顾性研究纳入了 93 名注册 RPM 的患者中的 40 名。之所以选择这 40 名患者,是因为他们在开始 RPM 之前有 2 年的 EMR 数据,RPM 之后也有 2 年的数据;每名患者都同意接受这项经 Sterling IRB 批准的研究:我们对 40 名患者进行了至少 4 年的随访,包括开始 RPM 之前的 2 年和开始 RPM 之后的 2 年。在启动 RPM 后的 2 年中,检查电话增加了 519%,换药电话增加了 519%,总电话增加了 519%。高血压急诊就诊率下降了 93%,心力衰竭住院率下降了 83%,所有其他心血管疾病住院率下降了 50%。此外,RPM 后门诊总次数减少了 15%,计划外或紧急门诊减少了 73%:每日监测参与患者和临床医生协作团队之间的生命体征数据趋势,并将其纳入日常临床工作流程,增强了患者之间的互动,并能在发生心房颤动失代偿时及时做出反应或进行干预,从而在两年多的随访中减少了门诊和住院患者的就诊次数。
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The Benefits of Using Active Remote Patient Management for Enhanced Heart Failure Outcomes in Rural Cardiology Practice: Single-Site Retrospective Cohort Study.

Background: Rural populations have a disproportionate burden of heart failure (HF) morbidity and mortality, associated with socioeconomic and racial inequities. Multiple randomized controlled trials of remote patient monitoring (RPM) using both direct patient contact and device-based monitoring have been conducted to assess improvement in HF outcomes, with mixed results.

Objective: We aimed to assess whether a novel digital health care platform designed to proactively assess and manage patients with HF improved patient outcomes by preventing HF re-exacerbations, thus reducing emergency room visits and HF hospitalizations.

Methods: This was a single-site, retrospective cohort study using electronic medical record (EMR) data gathered from 2 years prior to RPM initiation and 2 years afterward. In January 2017, this single center began enrolling New York Heart Association (NYHA) class II and class III patients with HF prone to HF exacerbation into an RPM program using the Cordella HF system. By July 2022, 93 total patients had been enrolled in RPM. Of these patients, 87% lived in rural areas. This retrospective review included 40 of the 93 patients enrolled in RPM. These 40 were selected because they had 2 years of established EMR data prior to initiation of RPM and 2 years of post-RPM data; each consented to this Sterling IRB-approved study.

Results: We included 40 patients with at least 4 years of follow-up, including 2 years prior to RPM initiation and 2 years after RPM initiation. In the 2 years after RPM initiation, check-up calls increased 519%, medication change calls increased 519%, and total calls increased by 519%. Emergency room visits for HF fell 93%, heart failure hospitalizations fell 83%, and all other cardiovascular hospitalizations fell 50%. Additionally, the total number of office visits declined by 15% after RPM, and unscheduled or urgent office visits declined by 73%.

Conclusions: Daily monitoring of trends in vital sign data between engaged patients and a collaborative team of clinicians, incorporated into daily clinical workflow, enhanced patient interactions and allowed timely response or intervention when HF decompensation occurred, resulting in a reduction of outpatient and inpatient clinical use over more than 2 years of follow-up.

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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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