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Este estudio trata sobre la exclusión digital, que causa marginación y desigualdad. La falta de herramientas para medir la exclusión en áreas específicas dificulta las intervenciones. En la investigación, se ha desarrollado un indicador compuesto de exclusión digital y herramientas asociadas. También se identificaron factores subyacentes relacionados con la privación socioeconómica, las bajas cualificaciones académicas y las barreras al acceso digital.
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https://www.medrxiv.org/content/10.1101/2023.07.12.23292547v2.full
medRxivDigital Exclusion as a barrier to accessing healthcare: A summary composite indicator and online tool to explore and quantify local differences in levels of exclusionDigital 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.
### Competing Interest Statement
The authors have declared no competing interest.
### Funding Statement
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
### Author Declarations
I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals.
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I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).
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I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.
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All code is available via a github archive. Sources to access the underlying data are described in the manuscript.