Using social media listening to understand barriers to genomic medicine for those living with Ehlers-Danlos syndromes and hypermobility spectrum disorders.
Health Expect
; 26(4): 1524-1535, 2023 Aug.
Article
em En
| MEDLINE
| ID: mdl-37062887
ABSTRACT
INTRODUCTION:
Technological improvements alone have not led to the integration of genomic medicine across a broad range of diseases and populations. For genomic medicine to be successfully implemented across specialties and conditions, the challenges patients and caregivers experience need to be identified using a multi-faceted understanding of the context in which these obstacles occur and how they are experienced. Individuals affected by rare conditions, like Ehlers-Danlos syndromes (EDS) and hypermobility spectrum disorders (HSD), express numerous challenges with accessing genomic medicine. Many patients living with rare diseases seek information and find comfort in online health communities.METHODS:
Social media conversations facilitated through online health communities are windows into patients' and caregivers' authentic experiences. To date, no other study has examined genomic medicine barriers by analysing the content of social media posts, yet the novel methodological approach of social media listening permits the analysis of virtual, organic conversations about lived experiences. RESULTS/CONCLUSIONS:
Using a modified social-ecological model, this study found that social-structural and interpersonal barriers most frequently impede access to genomic medicine for patients and caregivers living with EDS and HSD. PATIENT OR PUBLIC CONTRIBUTION Data were retrieved through social media conversations facilitated through publicly accessible health communities through Inspire, an online health community. Social media listening permits the analysis of virtual, organic conversations about lived experiences.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Síndrome de Ehlers-Danlos
/
Mídias Sociais
Limite:
Humans
Idioma:
En
Revista:
Health Expect
Ano de publicação:
2023
Tipo de documento:
Article