Barriers to Early Diagnosis of Breast Cancer amongst women in the Fiji Islands: A Qualitative Study.


Journal

Asian Pacific journal of cancer prevention : APJCP
ISSN: 2476-762X
Titre abrégé: Asian Pac J Cancer Prev
Pays: Thailand
ID NLM: 101130625

Informations de publication

Date de publication:
01 Jul 2024
Historique:
received: 20 11 2023
medline: 28 7 2024
pubmed: 28 7 2024
entrez: 28 7 2024
Statut: epublish

Résumé

To investigate the factors that may account for the delay in diagnosis and treatment in Fijian female breast cancer patients. This study adopted a qualitative approach to gain an in-depth understanding of individual barriers and participants' experiences within the Fijian context. Utilising semi-structured interviews, the study interviewed breast cancer survivors, community women, healthcare professionals, and traditional healers. Two primary themes emerged from participants' narratives relating to barriers to early breast cancer detection: (1) individual-related factors and (2) healthcare system-related factors. Within these, five sub-themes were identified. For individual-related factors, these included: cultural & religious beliefs, social support, and awareness & misconception. For healthcare system factors, the sub-themes were: House of death and limited community accessibility to screening and awareness initiatives. The results highlighted the need for targeted interventions that consider the importance of cultural beliefs, improve awareness, and foster trust in the healthcare system.

Identifiants

pubmed: 39068561
doi: 10.31557/APJCP.2024.25.7.2297
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2297-2303

Auteurs

Carol Kartika Naidu (CK)

School of Medicine and Dentistry, Griffith University, Gold Coast, Australia.

Nicola Wiseman (N)

School of Medicine and Dentistry, Griffith University, Gold Coast, Australia.

Amelia Hyatt (A)

Peter MacCallum Cancer Centre, Melbourne, Australia.

Neil Harris (N)

School of Medicine and Dentistry, Griffith University, Gold Coast, Australia.

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Classifications MeSH