Abstract
BACKGROUND: Most women with breast cancer in Ethiopia are diagnosed at an advanced stage of the disease, but the reasons for this have not been systematically investigated. This study, therefore, aimed to explore the main reasons for diagnosis of advanced stage breast cancer from the perspective of patients, family members, and health care providers. METHODS: A qualitative study with in-depth interviews was conducted with 23 selected participants at Tikur Anbessa Specialized Hospital, Oncology Clinic using a semi-structured interview guide. These participants were 13 breast cancer patients, 5 family members, and 5 health care providers. Data were transcribed into English, coded and analyzed using thematic analysis. RESULTS: Awareness about the causes, risk, initial symptoms, early detection methods, and treatment of breast cancer were uncommon, and misconceptions about the disease prevailed among breast cancer patients and family members. There was a sense of hopelessness and uncertainty about the effectiveness of conventional medicine amongst patients and family members. Consequently, performing spiritual acts (using holy water) or seeking care from traditional healers recurred amongst the interviewees. Not taking initial symptoms of breast cancer seriously by the patients, reliance on traditional medicines, competing priorities, financial hardship, older age, fear of diagnosis of cancer, and weak health systems (e.g., delay in referral and long waiting period for consultation) were noted as the main contributors to late diagnosis. In contrast, persuasion by family members and friends, higher educational attainment, and prior experience of neighboring women with breast cancer were mentioned to be facilitators of early diagnosis of breast cancer. CONCLUSIONS: The causes of late diagnosis of breast cancer in Ethiopia are multi-factorial and include individual, cultural, and health system factors. Interventions targeting these factors could alleviate the misconceptions and knowledge gap about breast cancer in the community, and shorten waiting time between symptom recognition and diagnosis of breast cancer.