Abstract
AbstractDigital exclusion leads to marginalization and inequality. A lack of tools to measure local exclusion hampers targeted interventions. In this study a composite indicator for digital exclusion and associated toolkit was developed. Indicator variables were normalised and aggregated. Factor analysis determined indicator weightings. Local levels of claiming Guaranteed Pension Credit, unemployment and low socioeconomic status showed strong mutual correlation. Underlying constructs were identified related to socioeconomic deprivation, poor academic qualifications, lack of activity and barriers to digital access. In general, coastal areas in Lincolnshire, UK had higher levels of digital exclusion, with significant local disparities within urban areas. The Lincolnshire Digital Health toolkit assists decision-makers in understanding and addressing digital exclusion.
Publisher
Cold Spring Harbor Laboratory
Reference30 articles.
1. Age UK, 2020. Loneliness and digital inclusion [WWW Document]. URL https://www.ageuk.org.uk/our-impact/policy-research/loneliness-research-and-resources/loneliness-and-digital-inclusion/ (accessed 7.5.23).
2. Inequalities in Children’s Experiences of Home Learning during the COVID-19 Lockdown in England*;Fisc. Stud,2020
3. The problem with composite indicators
4. Bonner, A. , 2021. A human rights approach to digital inclusion [WWW Document]. URL https://digitalpovertyalliance.org/news-updates/a-human-rights-approach-to-digital-inclusion/ (accessed 7.5.23).
5. The development of an index of rural deprivation: A case study of Norfolk, England;Soc. Sci. Med,2019
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