以家庭为基础的远程监测项目在减少老年慢性病患者再入院方面的有效性:eCOBAHLT随机对照试验

IF 3.5 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Journal of Telemedicine and Telecare Pub Date : 2025-02-01 Epub Date: 2023-05-23 DOI:10.1177/1357633X231174488
Achille Tchalla, Delphine Marchesseau, Noëlle Cardinaud, Cécile Laubarie-Mouret, Thomas Mergans, Patrick-Joël Kajeu, Sandrine Luce, Patrick Friocourt, Didier Tsala-Effa, Isabelle Tovena, Pierre-Marie Preux, Caroline Gayot
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引用次数: 0

摘要

鉴于慢性、长期疾病在老年患者中越来越常见,远程监测项目对临床结果的影响尚不确定。本研究旨在评估一项为期12个月的远程监测计划在预防患有两种或两种以上慢性疾病的老年患者住院后再住院方面的可行性和有效性。方法:采用多中心随机对照试验,分为两组,对远程监护系统进行评价。年龄在65岁或以上的老年慢性病患者(至少有两种合并症)在慢性疾病的急性住院治疗后出院,随机分为两组,一组接受家庭远程监测计划(干预组,n = 267),另一组接受常规护理(对照组,n = 267)。远程家庭监测计划是一种在线生物识别家庭生活分析技术(e-COBAHLT),具有远程家庭护理/自动化和生物识别传感器。eCOBALTH干预组接受包含慢性疾病临床因素追踪器的自动化传感器,监测其生物特征参数,通过远程监测发现任何异常的前驱疾病失代偿,并向全科医生提供老年医学专业知识。常规护理组不接受eCOBALTH项目。在两组中,基线访问在基线和12个月时进行最后一次访问。主要结果是12个月期间因失代偿而计划外住院的发生率。结果:534名随机受试者(平均[SD]年龄80.3[8.1]岁;280例(52.4%),492例(92.1%)完成了12个月的随访;182人(34.1)患有慢性心力衰竭,115人(21.5%)患有中风,77人(14.4%)患有糖尿病。在12个月的随访期间,238例患者至少有一次因慢性疾病失代偿而计划外住院:干预组108例(40.4%),对照组130例(48.7%)(P = 0.04)。干预组再次住院的风险显著降低(年龄和性别调整相对风险:0.72,95% 95%可信区间0.51-0.94)。结论:采用居家生活技术结合远程医疗和生物识别传感器进行为期12个月的在线生物识别分析的家庭远程监护方案,对于预防老年慢性病住院高危患者因慢性病失代偿而意外住院是可行和有效的。
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Effectiveness of a home-based telesurveillance program in reducing hospital readmissions in older patients with chronic disease: The eCOBAHLT randomized controlled trial.

Introduction: Given that chronic, long-term conditions are increasingly common in older patients, the impact of telesurveillance program on clinical outcomes is uncertain. This study aimed to evaluate the feasibility and effectiveness of a 12-month remote monitoring program in preventing rehospitalizations in older patients with two or more chronic diseases returning home after hospitalization.

Methods: We conducted a multicenter randomized controlled trial in two parallel groups to evaluate the remote monitoring system. Elderly patients with chronic diseases (at least two comorbidities) aged 65 years or older and discharged home after acute hospital care for a chronic disease were randomized to receive a home telemonitoring program (intervention group, n = 267) or conventional care (control group, n = 267). The remote home monitoring program was an online biometric home life analysis technology (e-COBAHLT) with tele-homecare/automation and biometric sensors. The eCOBALTH intervention group received the automation sensors containing chronic disease clinical factor trackers to monitor their biometric parameters and detect any abnormal prodromal disease decompensation by remote monitoring and providing geriatric expertise to general practitioners. The usual care group received no eCOBALTH program. In both groups, baseline visits were conducted at baseline and the final visit at 12 months. The primary outcome was the incidence of unplanned hospitalizations for decompensation during the 12-month period.

Results: Among 534 randomized participants (mean [SD] age, 80.3 [8.1] years; 280 [52.4%] women), 492 (92.1%) completed the 12-month follow-up; 182 (34.1) had chronic heart failure, 115 (21.5%) had stroke, and 77 (14.4%) had diabetes. During the 12-month follow-up period, 238 patients had at least one unplanned hospitalization for decompensation of a chronic disease: 108 (40.4%) in the intervention group versus 130 (48.7%) in the control group (P = 0.04). The risk of rehospitalization was significantly reduced in the intervention group (age- and sex-adjusted relative risk: 0.72, 95% 95% confidence intervals 0.51-0.94).

Conclusion: A 12-month home telemonitoring program with online biometric analysis using Home life technology combining telecare and biometric sensors is feasible and effective in preventing unplanned hospitalizations for chronic disease decompensation in elderly patients with chronic diseases at high risk for hospitalizations.

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来源期刊
CiteScore
14.10
自引率
10.60%
发文量
174
审稿时长
6-12 weeks
期刊介绍: Journal of Telemedicine and Telecare provides excellent peer reviewed coverage of developments in telemedicine and e-health and is now widely recognised as the leading journal in its field. Contributions from around the world provide a unique perspective on how different countries and health systems are using new technology in health care. Sections within the journal include technology updates, editorials, original articles, research tutorials, educational material, review articles and reports from various telemedicine organisations. A subscription to this journal will help you to stay up-to-date in this fast moving and growing area of medicine.
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