文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

Improving the user experience of televisits and telemonitoring for heart failure patients in less than 6 months: a methodological approach.

作者信息

Savoldelli Anna, Vitali Andrea, Remuzzi Andrea, Giudici Vittorio

机构信息

Department of Management, Information and Production Engineering, University of Bergamo, viale Marconi 5, Dalmine (Bergamo), Italy.

Azienda Socio Sanitaria Territoriale (ASST) Bergamo Est, via Paderno 21, Seriate (Bergamo), Italy.

出版信息

Int J Med Inform. 2022 May;161:104717. doi: 10.1016/j.ijmedinf.2022.104717. Epub 2022 Feb 19.


DOI:10.1016/j.ijmedinf.2022.104717
PMID:35259670
Abstract

BACKGROUND: With the spread of COVID-19, telemedicine solutions became crucial to release continuous and remote assistance to chronic patients. The rapid transition to telemedicine solutions did not allow a complete assessment of the user experience by both patients and medical personnel. Despite the well-known benefits in remote care, the lack of usability evaluation of already existing technologies for the vital signs measurement has emerged. A telemedicine platform must match video communication between patients and the medical staff with the possibility to measure vital parameters. Furthermore, technological assistance may overcome the unfamiliarity with telemedicine and drastically reduce the learning time for both patients and medical personnel. OBJECTIVES: The research work presents a method to improve the user experience of a telemedicine service based on the combination of televisits and telemonitoring with wearable sensors for heart failure patients. Skilled technological staff is proposed by the presented method to lead the learning process of both medical personnel and patients in order to reach a high level of usability in less than 6 months. METHODS: The proposed method is composed of 5 steps: identification of technological staff and end users; selection of the telemedicine platform; design of questionnaires for usability analysis; training of clinicians and patients; final usability evaluation of the telemedicine platform by means of customized satisfaction questionnaires and Post-Study System Usability Questionnaires (PSSUQs). The methodological approach has been tested in collaboration with a heart failure clinic by involving 5 physicians, 5 nurses, 15 heart failure patients, a research engineer and 4 technicians. A platform with 3 wearable sensors has been chosen: a wireless thermometer, a finger pulse-oximeter and an undershirt have been used for the detection of ECG trace. While these devices allowed asynchronous measurements of physiological data, scheduled televisits have been used for direct communication between physicians and patients. RESULTS: Satisfaction questionnaires of patients and clinicians reached respectively 65.18% and 65.83%, while PSSUQ scores were respectively 91.73% and 81.70%. Both groups of end users confirmed a good level of usability and their satisfaction about the ease of use and the perceived quality of the instrumentation. Moreover, 73% of patients did not require help from caregivers to use the kit of sensors. The results have been reached in 5.5 months according to the aim defined initially. Research engineers have played a crucial role in helping clinicians and patients to improve the user experience with the telemedicine platform. CONCLUSIONS: The high level of usability and satisfaction confirmed that the proposed methodological approach helps to learn the technological features of the telemedicine platforms, which are based on different types of technology, such as web applications, wearable sensors and virtual calls. The positive results with heart failure patients encouraged to plan further research studies by using the designed method with other categories of chronic patients.

摘要

相似文献

[1]
Improving the user experience of televisits and telemonitoring for heart failure patients in less than 6 months: a methodological approach.

Int J Med Inform. 2022-5

[2]
A personalised mobile-based home monitoring system for heart failure: The SUPPORT-HF Study.

Int J Med Inform. 2015-10

[3]
Telemedicine and Remote Management of Patients with Heart Failure: From Theory to Daily Practice.

Telemed J E Health. 2024-10

[4]
Design and Usability Assessment of a Multi-Device SOA-Based Telecare Framework for the Elderly.

IEEE J Biomed Health Inform. 2019-2-18

[5]
Definition of a Method for the Evaluation of Telemedicine Platforms in the Italian Context.

Telemed J E Health. 2023-5

[6]
Usability in telemedicine systems-A literature survey.

Int J Med Inform. 2016-9

[7]
Effects of home telemonitoring interventions on patients with chronic heart failure: an overview of systematic reviews.

J Med Internet Res. 2015-3-12

[8]
Usability and feasibility assessment of a smartphone application (Suhriday) for heart failure self-care remote monitoring in an Indian tertiary health care setting: a pilot mixed-methods study.

BMJ Open. 2022-8-24

[9]
Evolution of SmartBEAT for Heart Failure Telemonitoring.

Stud Health Technol Inform. 2020-9-4

[10]
The effectiveness of internet-based e-learning on clinician behavior and patient outcomes: a systematic review protocol.

JBI Database System Rev Implement Rep. 2015-1

引用本文的文献

[1]
A mHealth application to identify cognitive communication disorder after right hemisphere stroke: development and beta testing.

Mhealth. 2025-1-17

[2]
A scoping review of the patient experience with wearable technology.

Digit Health. 2024-12-20

[3]
Randomised pilot study comparing a coach to SMARTPhone reminders to aid the management of heart failure (HF) patients: humans or machines.

BMJ Open Qual. 2024-7-1

[4]
Technology Acceptance of a Mobile Application to Support Family Caregivers in a Long-Term Care Facility.

Appl Clin Inform. 2022-10

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索