Suppr超能文献

敏捷需求工程与软件规划在数字健康平台以应对社交隔离导致的隔离影响:案例研究。

Agile Requirements Engineering and Software Planning for a Digital Health Platform to Engage the Effects of Isolation Caused by Social Distancing: Case Study.

机构信息

Digitally Enabled PrevenTative Health Research Group, Department of Paediatrics, University of Oxford, Oxford, United Kingdom.

Department of Primary Care and Public Health, Imperial College London, London, United Kingdom.

出版信息

JMIR Public Health Surveill. 2020 May 6;6(2):e19297. doi: 10.2196/19297.

Abstract

BACKGROUND

Social distancing and shielding measures have been put in place to reduce social interaction and slow the transmission of the coronavirus disease (COVID-19). For older people, self-isolation presents particular challenges for mental health and social relationships. As time progresses, continued social distancing could have a compounding impact on these concerns.

OBJECTIVE

This project aims to provide a tool for older people and their families and peers to improve their well-being and health during and after regulated social distancing. First, we will evaluate the tool's feasibility, acceptability, and usability to encourage positive nutrition, enhance physical activity, and enable virtual interaction while social distancing. Second, we will be implementing the app to provide an online community to assist families and peer groups in maintaining contact with older people using goal setting. Anonymized data from the app will be aggregated with other real-world data sources to develop a machine learning algorithm to improve the identification of patients with COVID-19 and track for real time use by health systems.

METHODS

Development of this project is occurring at the time of publication, and therefore, a case study design was selected to provide a systematic means of capturing software engineering in progress. The app development framework for software design was based on agile methods. The evaluation of the app's feasibility, acceptability and usability shall be conducted using Public Health England's guidance on evaluating digital health products, Bandura's model of health promotion, the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework and the Nonadoption, Abandonment and Challenges to the Scale-up, Spread and Suitability (NASSS) framework.

RESULTS

Making use of a pre-existing software framework for health behavior change, a proof of concept was developed, and a multistage app development and deployment for the solution was created. Grant submissions to fund the project and study execution have been sought at the time of publication, and prediscovery iteration of the solution has begun. Ethical approval for a feasibility study design is being sought.

CONCLUSIONS

This case study lays the foundations for future app development to combat mental and societal issues arising from social distancing measures. The app will be tested and evaluated in future studies to allow continuous improvement of the app. This novel contribution will provide an evidence-based exemplar for future app development in the space of social isolation and loneliness.

摘要

背景

社交距离和隔离措施已经到位,以减少社交互动并减缓冠状病毒病(COVID-19)的传播。对于老年人来说,自我隔离对他们的心理健康和社交关系带来了特殊的挑战。随着时间的推移,持续的社交隔离可能会对这些问题产生累积影响。

目的

本项目旨在为老年人及其家人和同龄人提供一种工具,以改善他们在社交隔离期间和之后的幸福感和健康状况。首先,我们将评估该工具的可行性、可接受性和易用性,以鼓励积极的营养、增强身体活动,并实现社交隔离期间的虚拟互动。其次,我们将实施该应用程序,通过设定目标为家庭和同伴群体提供一个在线社区,以帮助他们与老年人保持联系。该应用程序的匿名数据将与其他真实世界数据源进行汇总,以开发一种机器学习算法来改善对 COVID-19 患者的识别,并实时跟踪卫生系统的使用情况。

方法

该项目的开发是在发布之时进行的,因此选择了案例研究设计,为软件工程的进展提供了系统的方法。该应用程序的软件开发框架基于敏捷方法。将使用英国公共卫生部(Public Health England)评估数字健康产品的指南、班杜拉(Bandura)的健康促进模型、可达性、有效性、采纳、实施、维持(RE-AIM)框架以及非采用、放弃和扩大、传播和适宜性挑战(NASSS)框架来评估该应用程序的可行性、可接受性和易用性。

结果

利用现有的健康行为改变软件框架,开发了一个概念验证,并创建了一个多阶段的应用程序开发和部署解决方案。在发布之时,已经提交了资助项目和研究执行的申请,并开始进行预发现迭代。正在寻求可行性研究设计的伦理批准。

结论

本案例研究为未来对抗社交隔离措施带来的心理健康和社会问题的应用程序开发奠定了基础。该应用程序将在未来的研究中进行测试和评估,以不断改进该应用程序。这项新颖的贡献将为社交隔离和孤独领域的未来应用程序开发提供一个基于证据的范例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3730/7205031/530df48a77dd/publichealth_v6i2e19297_fig1.jpg

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

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验