PURPOSEFeasible and effective strategies are needed to facilitate earlier diagnosis of breast cancer in low-income countries. The goal of this study was to examine the impact of health worker breast health training on health care utilization, patient diagnoses, and cancer stage in a rural Rwandan district.METHODSWe conducted a cluster randomized trial of a training intervention at 12 of the 19 health centers (HCs) in Burera District, Rwanda, in 2 phases. We evaluated the trainings’ impact on the volume of patient visits for breast concerns using difference-in-difference models. We used generalized estimating equations to evaluate incidence of HC and hospital visits for breast concerns, biopsies, benign breast diagnoses, breast cancer, and early-stage disease in catchment areas served by intervention versus control HCs.RESULTSFrom April 2015 to April 2017, 1,484 patients visited intervention HCs, and 308 visited control HCs for breast concerns. The intervention led to an increase of 4.7 visits/month for phase 1 HCs (P = .001) and 7.9 visits/month for phase 2 HCs (P = .007) compared with control HCs. The population served by intervention HCs had more hospital visits (115.1 v 20.5/100,000 person-years, P < .001) and biopsies (36.6 v 8.9/100,000 person-years, P < .001) and higher breast cancer incidence (6.9 v 3.3/100,000 person-years; P = .28). The incidence of early-stage breast cancer was 3.3 per 100,000 in intervention areas and 0.7 per 100,000 in control areas (P = .048).CONCLUSIONIn this cluster randomized trial in rural Rwanda, the training of health workers and establishment of regular breast clinics were associated with increased numbers of patients who presented with breast concerns at health facilities, more breast biopsies, and a higher incidence of benign breast diagnoses and early-stage breast cancers.
PurposeConnecting a cancer patient to the appropriate treatment requires the correct diagnosis provided in a timely manner. In resource-limited settings, the anatomic pathology bridge to efficient, accurate, and timely cancer care is often challenging. In this study, we present the first phase of an anatomic telepathology triage system, which was implemented and validated at the Butaro District Hospital in northern rural Rwanda.MethodsSelect cases over a 9-month period in three segments were evaluated by static image telepathology and were independently evaluated by standard glass slide histology. Each case via telepathology was classified as malignant, benign, infectious/inflammatory, or nondiagnostic and was given an exact histologic diagnosis.ResultsFor cases triaged as appropriate for telepathology, correlation with classification and exact diagnosis demonstrated greater than 95% agreement over the study. Cases in which there was disagreement were analyzed for cause, and the triage process was adjusted to avoid future problems.ConclusionChallenges to obtaining a correct and complete diagnosis with telepathology alone included the need for immunohistochemistry, assessment of the quality of images, and the lack of images representing an entire sample. The next phase of the system will assess the effect of telepathology triage on turnaround time and the value of on-site immunohistochemistry in reducing that metric and the need for evaluation outside of telepathology.
Our experience demonstrates that anatomic pathology services can be established in resource-limited settings and local capacity can be built to support accurate diagnoses. Our approach included leveraging partnerships, volunteer experts, and task shifting and will be expanded to include telepathology.
PurposeMinimal turnaround time for pathology results is crucial for highest-quality patient care in all settings, especially in low- and middle-income countries, where rural populations may have limited access to health care.MethodsWe retrospectively determined the turnaround times (TATs) for anatomic pathology specimens, comparing three different modes of operation that occurred throughout the development and implementation of our pathology laboratory at the Butaro Cancer Center of Excellence in Rwanda. Before opening this laboratory, TAT was measured in months because of inconsistent laboratory operations and a paucity of in-country pathologists.ResultsWe analyzed 2,514 individual patient samples across the three modes of study. Diagnostic mode 1 (samples sent out of the country for analysis) had the highest median TAT, with an overall time of 30 days (interquartile range [IQR], 22 to 43 days). For diagnostic mode 2 (static image telepathology), the median TAT was 14 days (IQR, 7 to 27 days), and for diagnostic mode 3 (onsite expert diagnosis), it was 5 days (IQR, 2 to 9 days).ConclusionOur results demonstrate that telepathology is a significant improvement over external expert review and can greatly assist sites in improving their TATs until pathologists are on site.
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