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The role of the social network in the study of adherence to diabetic retinopathy screening programs

2024-12Artigo científico Acesso aberto
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dc.contributor.authorPereira, Andreia Penso
dc.contributor.authorAfonso, Ana
dc.contributor.authorLaureano, Raul M. S.
dc.contributor.authorde Lima Neto, Fernando Buarque
dc.contributor.institutionInstituto de Higiene e Medicina Tropical (IHMT)
dc.contributor.institutionVector borne diseases and pathogens (VBD)
dc.contributor.institutionGlobal Health and Tropical Medicine (GHTM)
dc.contributor.institutionLaboratório Associado de Translacção e Inovação para a Saúde Global - LA Real (Pólo IHMT)
dc.contributor.pblNature Publishing Group
dc.date.accessioned2025-03-13T21:14:58Z
dc.date.available2025-03-13T21:14:58Z
dc.date.issued2024-12
dc.descriptionFunding Information: This work is partially funded by national funds through FCT—Fundação para a Ciência e Tecnologia, I.P., under the projects UID/GES/00315/2020 and UIDB/04466/2020, and by the ISCTE-IUL under the project HOPE.
dc.description.abstractDiabetic retinopathy screenings are a vital strategy to avoid the severe consequences of this disease. However, their success depends on the adherence of the target population. The present work aims to review the adherence to diabetic retinopathy screening, more specifically the influence of the persons with diabetes’ social network (contacts between persons with diabetes) on their screening behaviour. The used data set comprises information of 75,921 persons with diabetes, distributed by 20 Primary Health Centre Groups of the Portuguese North Region. Persons with diabetes of the same Group were organized in an N-by-N matrix, resulting in 20 social networks. Network metrics were calculated and its relationship with the adherence to screening was analysed using two perspectives: correlation between global network metrics and adherence rate; cluster analyses based on node level metrics. The results obtained show that: (1) Less connected networks, strongly divided into communities and with a great number of connected components, present the highest adherence rates. (2) The node level metrics allow the identification of groups where the problem of non-adherence is especially high. (3) The non-adherence phenomenon is especially evident in a small group of highly connected individuals. We believe that these results are of utmost relevance as a starting point for future research and as support to the planning of interventions related to diabetic retinopathy screening adherence.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent4468151
dc.identifier.doi10.1038/s41598-024-80996-w
dc.identifier.issn2045-2322
dc.identifier.otherPURE: 112587216
dc.identifier.otherPURE UUID: 1511ebf6-5cf5-4532-86a8-945597a1b383
dc.identifier.otherScopus: 85210351209
dc.identifier.otherWOS: 001364816800025
dc.identifier.otherPubMed: 39592850
dc.identifier.otherPubMedCentral: PMC11599580
dc.identifier.urihttp://hdl.handle.net/10362/180595
dc.identifier.urlhttps://www.scopus.com/pages/publications/85210351209
dc.language.isoeng
dc.peerreviewedyes
dc.subjectDiabetic retinopathy screening
dc.subjectHealth screenings
dc.subjectPatient-level factors influence in adherence to screening
dc.subjectScreening adherence
dc.subjectSocial networks
dc.subjectGeneral
dc.subjectSDG 3 - Good Health and Well-being
dc.titleThe role of the social network in the study of adherence to diabetic retinopathy screening programsen
dc.typejournal article
degois.publication.issue1
degois.publication.titleScientific Reports
degois.publication.volume14
dspace.entity.typePublication
rcaap.rightsopenAccess

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