Does the choice of care pathways matter in timely breast cancer care in Sri Lanka?

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

PURPOSE

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).

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

Duration of the patient interval in breast cancer and factors associated with longer delays in low-and middle-income countries: A systematic review with meta-analysis

OBJECTIVE

Breast cancer survival is lower in low- and middle-income countries (LMICs) partially due to many women being diagnosed with late-stage disease. The patient interval refers to the time elapsed between the detection of symptoms and the first consultation with a healthcare provider and is considered one of the core indicators for early diagnosis and treatment. The goal of the current research was to conduct a meta-analysis of the duration of the patient interval in LMICs and investigate the socio-demographic and socio-cultural factors related to longer delays in presentation.

METHODS

We conducted a systematic review with meta-analysis (pre-registered protocol CRD42020200752). We searched seven information sources (2009-2022) and included 50 articles reporting the duration of patient intervals for 18,014 breast cancer patients residing in LMICs.

RESULTS

The longest patient intervals were reported in studies from the Middle East (3-4 months), followed by South-East Asia (2 months), Africa (1-2 months), Latin America (1 month), and Eastern Europe (1 month). Older age, not being married, lower socio-economic status, illiteracy, low knowledge about cancer, disregarding symptoms or not attributing them to cancer, fear, negative beliefs about cancer, and low social support were related to longer delays across most regions. Longer delays were also related to use of alternative medicine in the Middle East, South-East Asia, and Africa and distrust in the healthcare system in Eastern Europe.

CONCLUSIONS

There is large variation in the duration of patient intervals across LMICs in different geographical regions. Patient intervals should be reduced and, for this purpose, it is important to explore their determinants taking into account the social, cultural, and economic context.