ICOnnecta't: Development and initial results of a stepped psychosocial eHealth ecosystem to facilitate risk assessment and prevention of early emotional distress in breast cancer survivors' journey

Psychosocial interventions prevent emotional distress and facilitate adaptation in breast cancer (BC). However, conventional care presents accessibility barriers that eHealth has the potential to overcome. ICOnnecta¿t is a stepped digital ecosystem designed to build wellbeing and reduce psychosocial...

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Detalhes bibliográficos
Autores: Medina Alcaraz, Juan Carlos, Flix-Valle, Aida, Rodríguez Ortega, Ana, Hernández Ribas, Rosa, Lleras de Frutos, María, Ochoa, Cristian
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Recursos:Universitat Oberta de Catalunya (UOC)
Repositorio:O2, repositorio institucional de la UOC
OAI Identifier:oai:openaccess.uoc.edu:10609/143726
Acesso em linha:https://hdl.handle.net/10609/143726
https://doi.org/10.3390/cancers14040974
Access Level:acceso abierto
Palavra-chave:breast cancer
cancer survivors
internet-based intervention
psychosocial intervention
cáncer de mama
sobrevivientes de cancer
intervención vía internet
intervención psicosocial
càncer de mama
supervivents de cancer
intervenció via internet
intervenció psicosocial
breast--cancer
mama--càncer
mamas--cancer
Descrição
Resumo:Psychosocial interventions prevent emotional distress and facilitate adaptation in breast cancer (BC). However, conventional care presents accessibility barriers that eHealth has the potential to overcome. ICOnnecta¿t is a stepped digital ecosystem designed to build wellbeing and reduce psychosocial risks during the cancer journey through a European-funded project. Women recently diagnosed with BC in a comprehensive cancer center were offered the ecosystem. ICOnnecta¿t consists of four care levels, provided according to users¿ distress: screening and monitoring, psychoeducation campus, peer-support community, and online-group psychotherapy. Descriptive analyses were conducted to assess the platform¿s implementation, while multilevel linear models were used to study users¿ psychosocial course after diagnosis. ICOnnecta¿t showed acceptance, use and attrition rates of 57.62, 74.60, and 29.66%, respectively. Up to 76.19% of users reported being satisfied with the platform and 75.95% informed that it was easy to use. A total of 443 patients¿ needs were detected and responsively managed, leading 94.33% of users to remain in the preventive steps. In general, strong social support led to a better psychosocial course. ICOnnecta¿t has been successfully implemented. The results showed that it supported the development of a digital relation with healthcare services and opened new early support pathways.