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Agile requirements engineering and software planning for a digital health platform to engage the effects of isolation caused by social distancing: A Case study and feasibility study protocol

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Title: Agile requirements engineering and software planning for a digital health platform to engage the effects of isolation caused by social distancing: A Case study and feasibility study protocol
Authors: Meinert, E
Milne-Ives, M
Surodina, S
Lam, C
Item Type: Journal Article
Abstract: Background Social distancing measures have been put in place to reduce social interaction to slow transmission of coronavirus (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, their families, and peers to improve their wellbeing and health during and after regulated social distancing. Firstly, we will evaluate the tool’s feasibility, acceptability, and usability to encourage positive nutrition, enhance physical activity, and enable virtual interaction during social-distancing. Secondly, 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. Anonymised data from the app will be aggregated with other real-world data sources to develop a machine-learning algorithm to improve COVID-19 patient identification 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. To mitigate potential issues of non-adoption of the proposed intervention, the system was designed using the non-adoption, abandonment, scale-up, spread and sustainability (NASSS) framework. The application development framework utilised is based on Agile methods. The evaluation of the solution’s acceptability and usability shall be conducted as a feasibility study to analyse factors impacting the solution’s use, adoption and uptake. Results Making use of a pre-existing software framework for health behaviour change, a proof of concept was developed, and multi-stage application development and deployment for the solution created. Grant submissions to fund the project and study execution have been sought at the time of publication, and pre-discovery 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.
Issue Date: 6-May-2020
Date of Acceptance: 28-Apr-2020
URI: http://hdl.handle.net/10044/1/79854
DOI: 10.2196/19297
ISSN: 2369-2960
Publisher: JMIR Publications
Journal / Book Title: JMIR Public Health and Surveillance
Volume: 6
Issue: 2
Copyright Statement: ©Edward Meinert, Madison Milne-Ives, Svitlana Surodina, Ching Lam. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 06.05.2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.
Keywords: COVID-19
aged
agile
app
artificial intelligence
cellphone
coronavirus
data science
digital health
exercise
health care quality, access and evaluation
information science
mental health
public reporting of healthcare data
requirements engineering
social distancing
telemedicine
Artificial Intelligence
Betacoronavirus
Coronavirus
Coronavirus Infections
Delivery of Health Care
Engineering
Humans
Pandemics
Pneumonia, Viral
Social Distance
Software
Technology
Telemedicine
Humans
Coronavirus
Pneumonia, Viral
Coronavirus Infections
Social Distance
Telemedicine
Engineering
Technology
Artificial Intelligence
Software
Delivery of Health Care
Pandemics
Betacoronavirus
Publication Status: Published
Article Number: ARTN e19297
Appears in Collections:Grantham Institute for Climate Change
Imperial College London COVID-19
School of Public Health