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远程健康监测对降低高危出院后患者住院再入院率的效果:前瞻性队列研究。

Efficacy of Remote Health Monitoring in Reducing Hospital Readmissions Among High-Risk Postdischarge Patients: Prospective Cohort Study.

机构信息

Department of Nursing, National Taiwan University Hospital Yunlin Branch, Douliou, Taiwan.

Biomedical Technology and Device Research Labs, Industrial Technology Research Institute, Hsinchu, Taiwan.

出版信息

JMIR Form Res. 2024 Sep 13;8:e53455. doi: 10.2196/53455.

Abstract

BACKGROUND

Patients with respiratory or cardiovascular diseases often experience higher rates of hospital readmission due to compromised heart-lung function and significant clinical symptoms. Effective measures such as discharge planning, case management, home telemonitoring follow-up, and patient education can significantly mitigate hospital readmissions.

OBJECTIVE

This study aimed to determine the efficacy of home telemonitoring follow-up in reducing hospital readmissions, emergency department (ED) visits, and total hospital days for high-risk postdischarge patients.

METHODS

This prospective cohort study was conducted between July and October 2021. High-risk patients were screened for eligibility and enrolled in the study. The intervention involved implementing home digital monitoring to track patient health metrics after discharge, with the aim of reducing hospital readmissions and ED visits. High-risk patients or their primary caregivers received education on using communication measurement tools and recording and uploading data. Before discharge, patients were familiarized with these tools, which they continued to use for 4 weeks after discharge. A project manager monitored the daily uploaded health data, while a weekly video appointment with the program coordinator monitored the heart and breathing sounds of the patients, tracked health status changes, and gathered relevant data. Care guidance and medical advice were provided based on symptoms and physiological signals. The primary outcomes of this study were the number of hospital readmissions and ED visits within 3 and 6 months after intervention. The secondary outcomes included the total number of hospital days and patient adherence to the home monitoring protocol.

RESULTS

Among 41 eligible patients, 93% (n=38) were male, and 46% (n=19) were aged 41-60 years, while 46% (n=19) were aged 60 years or older. The study revealed that home digital monitoring significantly reduced hospitalizations, ED visits, and total hospital stay days at 3 and 6 months after intervention. At 3 months after intervention, average hospitalizations decreased from 0.45 (SD 0.09) to 0.19 (SD 0.09; P=.03), and average ED visits decreased from 0.48 (SD 0.09) to 0.06 (SD 0.04; P<.001). Average hospital days decreased from 6.61 (SD 2.25) to 1.94 (SD 1.15; P=.08). At 6 months after intervention, average hospitalizations decreased from 0.55 (SD 0.11) to 0.23 (SD 0.09; P=.01), and average ED visits decreased from 0.55 (SD 0.11) to 0.23 (SD 0.09; P=.02). Average hospital days decreased from 7.48 (SD 2.32) to 6.03 (SD 3.12; P=.73).

CONCLUSIONS

By integrating home telemonitoring with regular follow-up, our research demonstrates a viable approach to reducing hospital readmissions and ED visits, ultimately improving patient outcomes and reducing health care costs. The practical application of telemonitoring in a real-world setting showcases its potential as a scalable solution for chronic disease management.

摘要

背景

患有呼吸或心血管疾病的患者由于心肺功能受损和严重的临床症状,经常出现更高的住院再入院率。有效的措施,如出院计划、病例管理、家庭远程监测随访和患者教育,可以显著降低医院再入院率。

目的

本研究旨在确定家庭远程监测随访在降低高危出院后患者的住院再入院率、急诊就诊率和总住院天数方面的疗效。

方法

这是一项在 2021 年 7 月至 10 月期间进行的前瞻性队列研究。对高危患者进行筛选以确定是否符合入选条件并纳入研究。干预措施包括实施家庭数字监测,以跟踪患者出院后的健康指标,旨在降低住院再入院率和急诊就诊率。高危患者或其主要照顾者接受了使用沟通测量工具以及记录和上传数据的教育。在出院前,患者熟悉这些工具,并在出院后继续使用 4 周。项目经理监测每日上传的健康数据,而项目协调员每周通过视频预约监测患者的心脏和呼吸声音,跟踪健康状况变化并收集相关数据。根据症状和生理信号提供护理指导和医疗建议。本研究的主要结局是干预后 3 个月和 6 个月内的医院再入院率和急诊就诊率。次要结局包括总住院天数和患者对家庭监测方案的依从性。

结果

在 41 名符合条件的患者中,93%(n=38)为男性,46%(n=19)年龄在 41-60 岁之间,而 46%(n=19)年龄在 60 岁或以上。研究表明,家庭数字监测显著降低了干预后 3 个月和 6 个月的住院、急诊就诊和总住院天数。干预后 3 个月,平均住院次数从 0.45(SD 0.09)降至 0.19(SD 0.09;P=.03),平均急诊就诊次数从 0.48(SD 0.09)降至 0.06(SD 0.04;P<.001)。平均住院天数从 6.61(SD 2.25)降至 1.94(SD 1.15;P=.08)。干预后 6 个月,平均住院次数从 0.55(SD 0.11)降至 0.23(SD 0.09;P=.01),平均急诊就诊次数从 0.55(SD 0.11)降至 0.23(SD 0.09;P=.02)。平均住院天数从 7.48(SD 2.32)降至 6.03(SD 3.12;P=.73)。

结论

通过将家庭远程监测与定期随访相结合,我们的研究证明了一种降低医院再入院率和急诊就诊率的可行方法,最终改善了患者的结局并降低了医疗保健成本。远程监测在真实环境中的实际应用展示了其作为慢性病管理可扩展解决方案的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5ac/11437225/95a96a1f38be/formative_v8i1e53455_fig1.jpg

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