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本文引用的文献

1
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NPJ Digit Med. 2023 Jan 3;6(1):1. doi: 10.1038/s41746-022-00734-2.
2
An ML-Enabled Internet of Things Framework for Early Detection of Heart Disease.基于机器学习的物联网框架,用于早期心脏病检测。
Biomed Res Int. 2022 Sep 21;2022:3372296. doi: 10.1155/2022/3372296. eCollection 2022.
3
A cardiovascular clinic patients' survey to assess challenges and opportunities of digital health adoption during the COVID-19 pandemic.一项心血管疾病诊所患者调查,以评估在新冠疫情期间采用数字健康的挑战与机遇。
Cardiovasc Digit Health J. 2022 Feb;3(1):31-39. doi: 10.1016/j.cvdhj.2021.10.007. Epub 2021 Nov 18.
4
Digital health approaches for cardiovascular diseases prevention and management: lessons from preliminary studies.心血管疾病预防与管理的数字健康方法:初步研究的经验教训
Mhealth. 2021 Jul 20;7:41. doi: 10.21037/mHealth-2020-6. eCollection 2021.
5
Barriers and facilitators of the uptake of digital health technology in cardiovascular care: a systematic scoping review.心血管护理中数字健康技术应用的障碍与促进因素:一项系统的范围综述
Eur Heart J Digit Health. 2021 Feb 4;2(1):62-74. doi: 10.1093/ehjdh/ztab005. eCollection 2021 Mar.
6
Wearable technology: covid-19 and the rise of remote clinical monitoring.可穿戴技术:新冠疫情与远程临床监测的兴起
BMJ. 2021 Feb 18;372:n413. doi: 10.1136/bmj.n413.
7
Digital Health: Opportunities and Challenges to Develop the Next-Generation Technology-Enabled Models of Cardiovascular Care.数字健康:开发下一代基于技术的心血管护理模式的机遇与挑战。
Methodist Debakey Cardiovasc J. 2020 Oct-Dec;16(4):296-303. doi: 10.14797/mdcj-16-4-296.
8
Effectiveness, Acceptability, and Feasibility of Digital Health Interventions for LGBTIQ+ Young People: Systematic Review.数字健康干预措施对 LGBTIQ+ 年轻人的有效性、可接受性和可行性:系统评价。
J Med Internet Res. 2020 Dec 3;22(12):e20158. doi: 10.2196/20158.
9
Early and accurate detection and diagnosis of heart disease using intelligent computational model.利用智能计算模型实现心脏病的早期准确检测和诊断。
Sci Rep. 2020 Nov 12;10(1):19747. doi: 10.1038/s41598-020-76635-9.
10
Observational study of UK mobile health apps for COVID-19.英国用于新冠肺炎的移动健康应用程序的观察性研究。
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利益相关者主导的心脏病诊断中数字技术实施的理解:一项定性研究方案。

Stakeholder-led understanding of the implementation of digital technologies within heart disease diagnosis: a qualitative study protocol.

机构信息

School of Psychology, University of Sussex, Brighton, UK

Department of Infection, Immunity and Cardiovascular Disease, The Medical School, The University of Sheffield, Sheffield, UK.

出版信息

BMJ Open. 2023 Jun 27;13(6):e072952. doi: 10.1136/bmjopen-2023-072952.

DOI:10.1136/bmjopen-2023-072952
PMID:37369399
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10410804/
Abstract

INTRODUCTION

Cardiovascular diseases are highly prevalent among the UK population, and the quality of care is being reduced due to accessibility and resource issues. Increased implementation of digital technologies into the cardiovascular care pathway has enormous potential to lighten the load on the National Health Service (NHS), however, it is not possible to adopt this shift without embedding the perspectives of service users and clinicians.

METHODS AND ANALYSIS

A series of qualitative studies will be carried out with the aim of developing a stakeholder-led perspective on the implementation of digital technologies to improve holistic diagnosis of heart disease. This will be a decentralised study with all data collection being carried out online with a nationwide cohort. Four focus groups, each with 5-6 participants, will be carried out with people with lived experience of heart disease, and 10 one-to-one interviews will be carried out with clinicians with experience of diagnosing heart diseases. The data will be analysed using an inductive thematic analysis approach.

ETHICS AND DISSEMINATION

This study received ethical approval from the Sciences and Technology Cross Research Council at the University of Sussex (reference ER/FM409/1). Participants will be required to provide informed consent via a Qualtrics survey before being accepted into the online interview or focus group. The findings will be disseminated through conference presentations, peer-reviewed publications and to the study participants.

摘要

简介

心血管疾病在英国人群中高发,由于可及性和资源问题,护理质量正在下降。将数字技术更多地应用于心血管护理路径,具有极大减轻国民保健服务(NHS)负担的潜力,但如果不嵌入服务使用者和临床医生的观点,就不可能实现这种转变。

方法和分析

将进行一系列定性研究,旨在从利益相关者的角度出发,探讨实施数字技术以改善心脏病整体诊断的问题。这将是一项去中心化的研究,所有数据收集都将通过全国性队列在网上进行。将与有心脏病患病经历的人进行 4 次每组 5-6 人的焦点小组讨论,与有心脏病诊断经验的临床医生进行 10 次一对一访谈。将使用归纳主题分析方法对数据进行分析。

伦理与传播

这项研究得到了苏塞克斯大学科学技术交叉研究理事会(参考 ER/FM409/1)的伦理批准。参与者需要通过 Qualtrics 调查提供知情同意,然后才能接受在线访谈或焦点小组。研究结果将通过会议演讲、同行评议出版物以及研究参与者进行传播。