Factors influencing the time to diagnosis and treatment of breast cancer among women in low- and middle-income countries: A systematic review.

Breast cancer Delay in diagnosis Low- and middle-income countries Time to diagnosis Time to treatment

Journal

Breast (Edinburgh, Scotland)
ISSN: 1532-3080
Titre abrégé: Breast
Pays: Netherlands
ID NLM: 9213011

Informations de publication

Date de publication:
18 Mar 2024
Historique:
received: 03 01 2024
revised: 08 03 2024
accepted: 16 03 2024
medline: 25 3 2024
pubmed: 25 3 2024
entrez: 24 3 2024
Statut: aheadofprint

Résumé

Shorter time from symptoms recognition to diagnosis and timely treatment would be expected to improve the survival of patients with breast cancer (BC). This review identifies and summarizes evidence on time to diagnosis and treatment, and associated factors to inform an improved BC care pathways in Low- and Middle-Income Countries (LMICs). A systematic search was conducted in electronic databases including Medline, Embase, PsycINFO and Global Health, covering publications between January 1, 2010, and November 6, 2023. Inclusion criteria encompassed studies published in English from LMICs that reported on time from symptoms recognition to diagnosis and/or from diagnosis to treatment, as well as factors influencing these timelines. Study quality was assessed independently by two reviewers using a standard checklist. Pre-contact, post-contact and treatment intervals and delays in these intervals are presented. Barriers and facilitators for shorter time to diagnosis and treatment found by individual studies after adjusting with covariates are summarized. The review identified 21 studies across 14 countries and found that BC cases took a longer time to diagnosis than to treatment. However, time to treatment also exceeded the World Health Organization (WHO) recommended period for optimal survival. There was inconsistency in terminology and benchmarks for defining delays in time intervals. Low socioeconomic status and place of residence emerged as frequent barriers, while initial contact with a private health facility or specialist was commonly reported as a facilitator for shorter time to diagnosis and treatment. Guidelines or consensus recommendations are essential for defining the optimal time intervals to BC diagnosis and treatment. Our review supported WHO's Global Breast Cancer Initiative recommendations. Increasing public awareness, strengthening of healthcare professional's capacities, partial decentralization of diagnostic services and implementation of effective referral mechanisms are recommended to achieve a shorter time to diagnosis and treatment of BC in LMICs.

Identifiants

pubmed: 38522173
pii: S0960-9776(24)00045-6
doi: 10.1016/j.breast.2024.103714
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103714

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest NH declares receiving funding from the National Breast Cancer Foundation (NBCF Australia) Chair in Breast Cancer Prevention grant (EC-21-001) and a National Health and Medical Research Council Investigator (Leader) grant (1194410). Other authors declare that no funds, grants, or other financial support were received during the preparation of this manuscript.

Auteurs

Ranjeeta Subedi (R)

School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia; The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia. Electronic address: ranjeeta.subedi@sydney.edu.au.

Nehmat Houssami (N)

School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia; The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia.

Carolyn Nickson (C)

The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia; Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.

Anant Nepal (A)

Nepal Karuna Sewa Samaj, Palpa, Nepal.

Denise Campbell (D)

The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia.

Michael David (M)

The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia; School of Medicine and Dentistry, Griffith University, Gold Coast, Australia.

Xue Qin Yu (XQ)

School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia; The Daffodil Centre, University of Sydney, a joint venture with Cancer Council NSW, Sydney, Australia.

Classifications MeSH