• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用自我追踪和接触模式分析揭示慢性阻塞性肺疾病的本质:纵向研究。

Revealing the Nature of Chronic Obstructive Pulmonary Disease Using Self-tracking and Analysis of Contact Patterns: Longitudinal Study.

机构信息

Epital Health, Gentofte, Denmark.

Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

出版信息

J Med Internet Res. 2021 Oct 19;23(10):e22567. doi: 10.2196/22567.

DOI:10.2196/22567
PMID:34665151
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8564654/
Abstract

BACKGROUND

Chronic obstructive pulmonary disease (COPD) is the fourth leading cause of death and is characterized by a progressive loss of pulmonary function over time with intermittent episodes of exacerbations. Rapid and proactive interventions may reduce the burden of the condition for the patients. Telehealth solutions involving self-tracking of vital parameters such as pulmonary function, oxygen saturation, heart rate, and temperature with synchronous communication of health data may become a powerful solution as they enable health care professionals to react with a proactive and adequate response. We have taken this idea to the next level in the Epital Care Model and organized a person-centered technology-assisted ecosystem to provide health services to COPD patients.

OBJECTIVE

The objective is to reveal the nature of COPD by combining technology with a person-centered design aimed to benefit from interactions based on patient-reported outcome data and to assess the needed kind of contacts to best treat exacerbations. We wanted to know the following: (1) What are the incidences of mild, moderate, and severe exacerbations in a mixed population of COPD patients? (2) What are the courses of mild, moderate, and severe exacerbations? And (3) How is the activity and pattern of contacts with health professionals related to the participant conditions?

METHODS

Participants were recruited by convenience sampling from November 2013 to December 2015. The participants' sex, age, forced expiratory volume during the first second, pulse rate, and oxygen saturation were registered at entry. During the study, we registered number of days, number of exacerbations, and number of contact notes coded into care and treatment notes. Each participant was classified according to GOLD I-IV and risk factor group A-D. Participants reported their clinical status using a tablet by answering 4 questions and sending 3 semiautomated measurements.

RESULTS

Of the 87 participants, 11 were in risk factor group A, 24 in B, 13 in C, and 39 in D. The number of observed days was 31,801 days with 12,470 measurements, 1397 care notes, and 1704 treatment notes. A total of 254 exacerbations were treated and only 18 caused hospitalization. Those in risk factor group D had the highest number of hospitalizations (16), exacerbations (151), and contacts (1910). The initial contacts during the first month declined within 3 months to one-third for care contacts and one-half for treatment contacts and reached a plateau after 4 months.

CONCLUSIONS

The majority of COPD patients in risk factor group D can be managed virtually, and only 13% of those with severe exacerbations required hospitalization. Contact to the health care professionals decreases markedly within the first months after enrollment. These results provide a new and detailed insight into the course of COPD. We propose a resilience index for virtual clinical management making it easier to compare results across settings.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94e/8564654/40405dbdedd7/jmir_v23i10e22567_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94e/8564654/e6678d68cda9/jmir_v23i10e22567_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94e/8564654/40405dbdedd7/jmir_v23i10e22567_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94e/8564654/e6678d68cda9/jmir_v23i10e22567_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a94e/8564654/40405dbdedd7/jmir_v23i10e22567_fig2.jpg
摘要

背景

慢性阻塞性肺疾病(COPD)是第四大致死原因,其特征是随着时间的推移,肺功能逐渐丧失,并伴有间歇性加重。快速和积极的干预措施可能会减轻患者的病情负担。涉及自我跟踪生命参数(如肺功能、血氧饱和度、心率和体温)的远程医疗解决方案,并同步传输健康数据,这可能成为一种强大的解决方案,因为它们使医疗保健专业人员能够做出积极和充分的反应。我们在 Epital Care 模型中进一步发展了这一理念,并组织了一个以患者为中心的技术辅助生态系统,为 COPD 患者提供医疗服务。

目的

通过结合以人为中心的设计和技术,揭示 COPD 的本质,旨在从基于患者报告结果数据的交互中受益,并评估治疗加重症所需的最佳联系方式。我们想知道以下问题:(1)混合 COPD 患者群体中轻度、中度和重度加重的发生率是多少?(2)轻度、中度和重度加重的过程是怎样的?(3)与参与者病情相关的活动和与健康专业人员联系的模式是怎样的?

方法

参与者通过方便抽样于 2013 年 11 月至 2015 年 12 月被招募。参与者的性别、年龄、第一秒用力呼气量、脉搏率和血氧饱和度在入组时进行登记。在研究期间,我们登记了天数、加重次数和编码为护理和治疗记录的联系记录数。每位参与者根据 GOLD I-IV 和危险因素 A-D 组进行分类。参与者通过回答 4 个问题和发送 3 个半自动测量值,使用平板电脑报告其临床状况。

结果

在 87 名参与者中,有 11 名处于危险因素 A 组,24 名处于 B 组,13 名处于 C 组,39 名处于 D 组。观察天数为 31801 天,共进行了 12470 次测量、1397 次护理记录和 1704 次治疗记录。共治疗了 254 次加重,仅有 18 次导致住院。危险因素 D 组的住院人数(16 人)、加重人数(151 人)和联系人数(1910 人)最多。第一个月的初始联系在 3 个月内下降到护理联系的三分之一和治疗联系的一半,并在 4 个月后达到稳定水平。

结论

大多数处于危险因素 D 组的 COPD 患者可以进行虚拟管理,只有 13%的重度加重患者需要住院治疗。在入组后的头几个月内,与医疗保健专业人员的联系显著减少。这些结果提供了对 COPD 病程的新的、详细的了解。我们提出了一个虚拟临床管理的弹性指数,使结果更容易在不同环境中进行比较。

相似文献

1
Revealing the Nature of Chronic Obstructive Pulmonary Disease Using Self-tracking and Analysis of Contact Patterns: Longitudinal Study.利用自我追踪和接触模式分析揭示慢性阻塞性肺疾病的本质:纵向研究。
J Med Internet Res. 2021 Oct 19;23(10):e22567. doi: 10.2196/22567.
2
Relationship Between Patient-Reported Outcome Measures and the Severity of Chronic Obstructive Pulmonary Disease in the Context of an Innovative Digitally Supported 24-Hour Service: Longitudinal Study.在创新的数字支持24小时服务背景下患者报告结局指标与慢性阻塞性肺疾病严重程度的关系:纵向研究
J Med Internet Res. 2019 Jun 2;21(6):e10924. doi: 10.2196/10924.
3
Low-dose oral theophylline combined with inhaled corticosteroids for people with chronic obstructive pulmonary disease and high risk of exacerbations: a RCT.低剂量茶碱口服联合吸入皮质激素治疗慢性阻塞性肺疾病且有加重高风险的患者:一项 RCT 研究。
Health Technol Assess. 2019 Jul;23(37):1-146. doi: 10.3310/hta23370.
4
Prophylactic antibiotic therapy for chronic obstructive pulmonary disease (COPD).慢性阻塞性肺疾病(COPD)的预防性抗生素治疗
Cochrane Database Syst Rev. 2013 Nov 28(11):CD009764. doi: 10.1002/14651858.CD009764.pub2.
5
Exacerbations in Chronic Obstructive Pulmonary Disease: Identification and Prediction Using a Digital Health System.慢性阻塞性肺疾病的急性加重:使用数字健康系统进行识别与预测
J Med Internet Res. 2017 Mar 7;19(3):e69. doi: 10.2196/jmir.7207.
6
7
Effect of Physical Activity Coaching on Acute Care and Survival Among Patients With Chronic Obstructive Pulmonary Disease: A Pragmatic Randomized Clinical Trial.体力活动指导对慢性阻塞性肺疾病患者急性护理和生存的影响:一项实用随机临床试验。
JAMA Netw Open. 2019 Aug 2;2(8):e199657. doi: 10.1001/jamanetworkopen.2019.9657.
8
Umeclidinium bromide versus placebo for people with chronic obstructive pulmonary disease (COPD).溴化乌美溴铵对比安慰剂用于慢性阻塞性肺疾病(COPD)患者。
Cochrane Database Syst Rev. 2017 Jun 20;6(6):CD011897. doi: 10.1002/14651858.CD011897.pub2.
9
Proton pump inhibitors for chronic obstructive pulmonary disease.用于慢性阻塞性肺疾病的质子泵抑制剂
Cochrane Database Syst Rev. 2020 Aug 25;8(8):CD013113. doi: 10.1002/14651858.CD013113.pub2.
10
Integrated disease management interventions for patients with chronic obstructive pulmonary disease.慢性阻塞性肺疾病患者的综合疾病管理干预措施。
Cochrane Database Syst Rev. 2013 Oct 10(10):CD009437. doi: 10.1002/14651858.CD009437.pub2.

引用本文的文献

1
Creation of Text Vignettes Based on Patient-Reported Data to Facilitate a Better Understanding of the Patient Perspective: Design Study.基于患者报告数据创建文本 vignettes 以促进更好地理解患者观点:设计研究
JMIR Hum Factors. 2025 Feb 5;12:e58077. doi: 10.2196/58077.
2
Experiences With In-Person and Virtual Health Care Services for People With Chronic Obstructive Pulmonary Disease: Qualitative Study.慢性阻塞性肺疾病患者面对面和虚拟医疗服务的体验:定性研究
JMIR Rehabil Assist Technol. 2023 Aug 14;10:e43237. doi: 10.2196/43237.

本文引用的文献

1
A systematic map and in-depth review of European telehealth interventions efficacy for chronic obstructive pulmonary disease.一项系统性地图和深入审查欧洲远程医疗干预对慢性阻塞性肺疾病疗效的研究。
Respir Med. 2019 Oct-Nov;158:78-88. doi: 10.1016/j.rmed.2019.09.005. Epub 2019 Sep 9.
2
Relationship Between Patient-Reported Outcome Measures and the Severity of Chronic Obstructive Pulmonary Disease in the Context of an Innovative Digitally Supported 24-Hour Service: Longitudinal Study.在创新的数字支持24小时服务背景下患者报告结局指标与慢性阻塞性肺疾病严重程度的关系:纵向研究
J Med Internet Res. 2019 Jun 2;21(6):e10924. doi: 10.2196/10924.
3
Telemonitoring to Manage Chronic Obstructive Pulmonary Disease: Systematic Literature Review.
远程监测管理慢性阻塞性肺疾病:系统文献综述
JMIR Med Inform. 2019 Mar 20;7(1):e11496. doi: 10.2196/11496.
4
A systematic diagnostic evaluation combined with an internet-based self-management support system for patients with asthma or COPD.一种针对哮喘或慢性阻塞性肺疾病患者的系统诊断评估与基于互联网的自我管理支持系统相结合的方法。
Int J Chron Obstruct Pulmon Dis. 2018 Oct 12;13:3297-3306. doi: 10.2147/COPD.S175361. eCollection 2018.
5
Home treatment of COPD exacerbation selected by DECAF score: a non-inferiority, randomised controlled trial and economic evaluation.基于 DECAF 评分选择的 COPD 加重期家庭治疗:一项非劣效性、随机对照试验和经济评估。
Thorax. 2018 Aug;73(8):713-722. doi: 10.1136/thoraxjnl-2017-211197. Epub 2018 Apr 21.
6
Patient-reported Outcomes for the Detection, Quantification, and Evaluation of Chronic Obstructive Pulmonary Disease Exacerbations.患者报告结局用于慢性阻塞性肺疾病加重的检测、量化和评估。
Am J Respir Crit Care Med. 2018 Sep 15;198(6):730-738. doi: 10.1164/rccm.201712-2482CI.
7
Exacerbations of COPD.COPD 恶化。
Eur Respir Rev. 2018 Mar 14;27(147). doi: 10.1183/16000617.0103-2017. Print 2018 Mar 31.
8
Clinical-effectiveness of self-management interventions in chronic obstructive pulmonary disease: An overview of reviews.自我管理干预对慢性阻塞性肺疾病的临床疗效:系统评价综述。
Chron Respir Dis. 2017 Aug;14(3):276-288. doi: 10.1177/1479972316687208. Epub 2017 Feb 24.
9
Computer and mobile technology interventions for self-management in chronic obstructive pulmonary disease.用于慢性阻塞性肺疾病自我管理的计算机和移动技术干预措施。
Cochrane Database Syst Rev. 2017 May 23;5(5):CD011425. doi: 10.1002/14651858.CD011425.pub2.
10
Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer.支持长期疾病自我管理的远程医疗干预措施:糖尿病、心力衰竭、哮喘、慢性阻塞性肺疾病和癌症的系统元综述
J Med Internet Res. 2017 May 17;19(5):e172. doi: 10.2196/jmir.6688.