RESUMO
PURPOSE: In this mixed-methods study, we evaluated the factors that contribute to delayed breast cancer (BC) diagnosis and treatment at a Kenyan hospital. METHODS: Individuals with a diagnosis of BC, either as a referral or index patient, were recruited to participate in this study through convenience sampling. Data were collected on sociodemographics, health history, and cancer history, diagnosis, and treatment of patients at Kenyatta National Hospital (KNH). For the quantitative analyses, the relationship between sociodemographic and health history factors with stage at diagnosis, number of visits before diagnosis, time to diagnosis, and time to initial intervention, stratified by time to onset of symptoms, were examined using regression analyses. For the qualitative analysis, in-depth interviews of every fifth patient were completed to assess reasons for delayed diagnosis and treatment. RESULTS: The final analytic sample comprised of 378 female BC patients with an average age of 50. These females were generally of lower SES: 49.2% attained no or only primary-level education, 57.4% were unemployed, and the majority (74.6%) had a monthly household income of < 5000 Kenyan shillings (equivalent to ~ $41 USD). The median time from BC symptom onset to presentation at KNH was 13 (IQR = 3-36) weeks, from presentation to diagnosis was 17.5 (IQR = 7-36.5) weeks, and from diagnosis to receipt of the initial intervention was 6 (IQR = 3-13) weeks. Female BC patients who were never/unmarried, less educated, less affluent, users of hormonal contraception, and had ≥ 3 children were more likely to experience diagnosis and treatment delays. Qualitative data showed that financial constraints, lack of patient BC awareness, and healthcare practitioner misdiagnosis and/or strikes delayed patient diagnosis and treatment. CONCLUSIONS: BC patients experience long healthcare system delays before diagnosis and treatment. Educating communities and providers about BC and expediting referrals may minimize such delays and subsequently BC mortality rates in Kenya.
