Measuring the digital divide among people with Severe Mental Ill Health using the Essential Digital Skills framework

Author:

Panagiotis SpanakisORCID,Ruth WadmanORCID,Lauren WalkerORCID,Paul HeronORCID,Alice Mathers,John BakerORCID,Gordon JohnstonORCID,Simon GilbodyORCID,Emily PeckhamORCID

Abstract

AbstractAimsAmidst the vast digitalisation of health and other services during the pandemic, people with no digital skills are at risk for digital exclusion. This risk might not abide by the end of the pandemic. This paper seeks to understand whether people with severe mental ill health (SMI) have the necessary digital skills to adapt to these changes and avoid digital exclusion.Methods249 adults with SMI across England completed a survey online or offline. They provided information on their digital skills based on the Essential Digital Skills (EDS) framework, sociodemographic information, and digital access. This is the first time the EDS is benchmarked in people with SMI.Results42.2% had no Foundation Skills and 46.2% lacked skills for daily life (lacking Foundation or Life Skills). 23.0% of those working lacked skills for professional life (lacking Foundation or Work Skills). The most commonly missing skills were handling passwords and using the device settings (Foundation Skills) and online problem solving (Skills for Life). People were interested in learning more about approximately half of the skills they did not have. People were more likely to lack Foundation Skills if they were older, not in employment, had a psychosis-spectrum disorder, or had no Internet access at home.ConclusionA significant portion of people with SMI lacked Foundation Skills in this objective and benchmarked survey. This points to a high risk for digital exclusion and the need for focused policy and tailored health sector support, to ensure people retain access to key services and develop digital skills and confidence. To our knowledge this is the first time this has been described using the Essential Digital Skills (EDS) framework. Services, including the NHS, need to be aware and mitigate the risks.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3