Breast cancer screening adherence rates and barriers of implementation in ethnic, cultural and religious minorities: A systematic review

Breast cancer is the most common cancer affecting women worldwide. Adherence to breast cancer screening guidelines is frequently lower in racial, ethnic and cultural minority populations and is affected by potential inequities or barriers to screening that these minorities face. Therefore, the aim of the present study was to collect information from different minority groups worldwide, assess adherence to breast cancer screening and evaluate barriers or limitations causing non-adherence, which should facilitate the development of effective interventions. A search was conducted through PubMed and Web of Science. Studies were considered as eligible if they met the following criteria: i) Female patients; ii) breast cancer screening program implemented in the country; iii) minority groups; iv) asymptomatic; v) report written in Portuguese or English; vi) study published from 2015 onwards. The Critical Appraisal Skills Programme checklist was used for qualitative studies and the Strengthening The Reporting of Observational Studies in Epidemiology checklist for cross-sectional studies. From the 348 initial articles, 86 were removed due to duplication and 19 were selected, analyzed and summarized, accordingly. Of the 19 studies included, 5.3% were classified as high quality, 52.6% as moderate to high and 42.1% as moderate. A total of 15 studies were cross-sectional and 4 were qualitative, collectively including 250,733 women. The rate of adherence to mammogram in different minorities was evaluated, obtaining a mean value of 49.7% in the last 2 years, and statistically significant barriers were selected and divided into sociodemographic; personal; ethnic, cultural and religious; and external factors. The characteristics of each population play a major role in the population's breast health practices. If the population, adherence rates, barriers and inequities are carefully studied, screening models may be customized and participation to breast cancer screening can be optimized, thereby reducing the high breast cancer-associated mortality.