Implementation research: including breast examinations in a cervical cancer screening programme, Rwanda.

Objective: To evaluate whether integrating breast and cervical cancer screening in Rwanda's Women's Cancer Early Detection Program led to early breast cancer diagnoses in asymptomatic women. Methods: Launched in three districts in 2018-2019, the early detection programme offered clinical breast examination screening for all women receiving cervical cancer screening, and diagnostic breast examination for women with breast cancer symptoms. Women with abnormal breast examinations were referred to district hospitals and then to referral hospitals if needed. We examined how often clinics were held, patient volumes and number of referrals. We also examined intervals between referrals and visits to the next care level and, among women diagnosed with cancer, their initial reasons for seeking care. Findings: Health centres held clinics > 68% of the weeks. Overall, 9763 women received cervical cancer screening and clinical breast examination and 7616 received breast examination alone. Of 585 women referred from health centres, 436 (74.5%) visited the district hospital after a median of 9 days (interquartile range, IQR: 3-19). Of 200 women referred to referral hospitals, 179 (89.5%) attended after a median of 11 days (IQR: 4-18). Of 29 women diagnosed with breast cancer, 19 were ≥ 50 years and 23 had stage III or stage IV disease. All women with breast cancer whose reasons for seeking care were known (23 women) had experienced breast cancer symptoms. Conclusion: In the short-term, integrating clinical breast examination with cervical cancer screening was not associated with detection of early-stage breast cancer among asymptomatic women. Priority should be given to encouraging women to seek timely care for symptoms.

Factors associated with late-stage diagnosis of breast cancer among women in Addis Ababa, Ethiopia.

PURPOSE: Stage at diagnosis is a key determinant of breast cancer prognosis. In this study, we characterize stage at diagnosis and determine factors associated with advanced stage at diagnosis among women diagnosed with invasive breast cancer in Addis Ababa, capital city of Ethiopia. METHODS: Stage information was collected from medical records of 441 women with invasive breast cancer seen in seven major health facilities in Addis Ababa, from January 2017 to June 2018; these seven facilities capture 90% of all incident breast cancer cases in the city. We used multivariable Poisson regression model with robust variance to determine factors associated with advanced stage at diagnosis. RESULTS: The predominant tumor histology was ductal carcinoma (83.7%). More than half of the tumors' grade was moderately or poorly differentiated. The median tumor size at presentation was 4 cm. Sixty-four percent of the patients were diagnosed at advanced stage of the disease (44% stage III and 20% stage IV), with 36% of the patients diagnosed at early-stage (5% stage I and 31% stage II). The prevalence of advanced stage disease was significantly higher among women who used traditional medicine before diagnostic confirmation (adjusted prevalence ratio [aPR] = 1.31; p = 0.001), had patient delay of >  3 months (aPR = 1.16; p = 0.042) and diagnosis delay of > 2 months (aPR = 1.24; p = 0.004). But it was lower among women who had history of breast self-examination (aPR = 0.77; p = 0.021). CONCLUSIONS: Advanced stage at diagnosis of breast cancer among women in Addis Ababa is strongly associated with use of traditional medicine and with prolonged time interval between symptom recognition and disease confirmation. Community- and health systems-level interventions are needed to enhance knowledge about breast cancer and facilitate timely diagnoses.

Time intervals experienced between first symptom recognition and pathologic diagnosis of breast cancer in Addis Ababa, Ethiopia: a cross-sectional study.

OBJECTIVES: This study aimed to estimate the magnitude of patient and diagnostic delays and associated factors among women with breast cancer in Addis Ababa. DESIGN: This is a cross-sectional study. SETTINGS AND PARTICIPANTS: All women newly diagnosed with breast cancer in seven major healthcare facilities in Addis Ababa (n=441) were included in the study. MAIN OUTCOMES AND MEASURES: Patient interval (time from recognition of first symptom to medical consultation) and diagnostic interval (time from first consultation to diagnosis). Patient intervals >90 days and diagnostic intervals >30 days were considered delays, and associated factors were determined using multivariable Poisson regressions with robust variance. RESULTS: Thirty-six percent (95% CI [31.1%, 40.3%]) of the patients had patient intervals of >90 days, and 69% (95% CI [64.6%, 73.3%]) of the patients had diagnostic intervals of >30 days. Diagnostic interval exceeded 1 year for 18% of patients. Ninety-five percent of the patients detected the first symptoms of breast cancer by themselves, with breast lump (78.0%) as the most common first symptom. Only 8.0% were concerned about cancer initially, with most attributing their symptoms to other factors. In the multivariable analysis, using traditional medicine before consultation was significantly associated with increased prevalence of patient delay (adjusted prevalence ratio (PR) = 2.13, 95% CI [1.68, 2.71]). First consultation at health centres (adjusted PR = 1.19, 95% CI [1.02, 1.39]) and visiting ≥4 facilities (adjusted PR = 1.24, 95% CI [1.10, 1.40]) were associated with higher prevalence of diagnostic delay. However, progression of symptoms before consultation (adjusted PR = 0.73, 95% CI [0.60, 0.90]) was associated with decreased prevalence of diagnostic delay. CONCLUSIONS: Patients with breast cancer in Addis Ababa have prolonged patient and diagnostic intervals. These underscore the need for public health programme to increase knowledge about breast cancer symptoms and the importance of early presentation and early diagnosis among the general public and healthcare providers.

Delays in Breast Cancer Presentation and Diagnosis at Two Rural Cancer Referral Centers in Rwanda.

BACKGROUND: Breast cancer incidence is increasing in low- and middle-income countries (LMICs). Mortality/incidence ratios in LMICs are higher than in high-income countries, likely at least in part because of delayed diagnoses leading to advanced-stage presentations. In the present study, we investigated the magnitude, impact of, and risk factors for, patient and system delays in breast cancer diagnosis in Rwanda. MATERIALS AND METHODS: We interviewed patients with breast complaints at two rural Rwandan hospitals providing cancer care and reviewed their medical records to determine the diagnosis, diagnosis date, and breast cancer stage. RESULTS: A total of 144 patients were included in our analysis. Median total delay was 15 months, and median patient and system delays were both 5 months. In multivariate analyses, patient and system delays of ≥6 months were significantly associated with more advanced-stage disease. Adjusting for other social, demographic, and clinical characteristics, a low level of education and seeing a traditional healer first were significantly associated with a longer patient delay. Having made ≥5 health facility visits before the diagnosis was significantly associated with a longer system delay. However, being from the same district as one of the two hospitals was associated with a decreased likelihood of system delay. CONCLUSION: Patients with breast cancer in Rwanda experience long patient and system delays before diagnosis; these delays increase the likelihood of more advanced-stage presentations. Educating communities and healthcare providers about breast cancer and facilitating expedited referrals could potentially reduce delays and hence mortality from breast cancer in Rwanda and similar settings. IMPLICATIONS FOR PRACTICE: Breast cancer rates are increasing in low- and middle-income countries, and case fatality rates are high, in part because of delayed diagnosis and treatment. This study examined the delays experienced by patients with breast cancer at two rural Rwandan cancer facilities. Both patient delays (the interval between symptom development and the patient's first presentation to a healthcare provider) and system delays (the interval between the first presentation and diagnosis) were long. The total delays were the longest reported in published studies. Longer delays were associated with more advanced-stage disease. These findings suggest that an opportunity exists to reduce breast cancer mortality in Rwanda by addressing barriers in the community and healthcare system to promote earlier detection.