Objective. To demonstrate proof of concept for a smart phoneempowered community health worker (CHW) model of care for breast health promotion, clinical breast examination (CBE), and patient navigation in rural Bangladesh. Methods. This study was a randomized controlled trial; July 1 to October 31, 2012, 30 CHWs conducted door-to-door interviews of women aged 25 and older in Khulna Division. Only women who disclosed a breast symptom were offered CBE. Arm A: smart phone with applications to guide interview, report data, show motivational video, and offer appointment for women with an abnormal CBE. Arm B: smart phone/ applications identical to Arm A plus CHW had training in "patient navigation" to address potential barriers to seeking care. Arm C: control arm (no smart phone; same interview recorded on paper). Outcomes are presented as the "adherence" (to advice regarding a clinic appointment) for women with an abnormal CBE. This study was approved by Women's College Hospital Research Ethics Board (Toronto, Ontario, Canada) and district government officials (Khulna, Bangladesh). Funded by Grand Challenges Canada. Results. In 4 months, 22,337 women were interviewed; ,1% declined participation, and 556 women had an abnormal CBE. Control group CHWs completed fewer interviews, had inferior data quality, and identified significantly fewer women with abnormal breast exams compared with CHWs in arms A and B. Arm B had the highest adherence. Conclusion. CHWs guided by our smart phone applications were more efficient and effective in breast health promotion compared with the control group. CHW "navigators" were most effective in encouraging women with an abnormal breast examination to adhere to advice regarding clinic attendance. The Oncologist 2014;19:177-185 Implications for Practice: In low-income countries such as Bangladesh, there are few opportunities for affordable, quality care for breast cancer. Gender inequity and cancer myths limit a woman's choice to seek care if she finds a breast lump.This is the first study to suggest that we can make an impact on breast cancer with basic training of community health workers guided by smart phone applications.With just 1 day of extra training in "patient navigation," we also show that social and cultural issues can be addressed, which improve the likelihood that women with a serious breast problem will attend for proper care.

Background: Mortality from breast cancer is high in low-and middle-income countries, in part because most patients have advanced stage disease when first diagnosed. Case-finding may be one approach to changing this situation. Materials and Methods: We conducted a pilot study to explore the feasibility of population-based case finding for breast cancer by community health workers (CHWs) using different data collection methods and approaches to management of women found to have breast abnormalities. After training 8 CHWs in breast problem recognition, manual paper data collection and operation of a cell-phone software platform for reporting demographic, history and physical finding information, these CHWs visited 3150 women >age 18 and over they could find--from 2356 households in 8 villages in rural Bangladesh. By 4 random assignments of villages, data were collected manually (Group 1), or with the cell-phone program alone (Group 2) or with management algorithms (Groups 3 and 4), and women adjudged to have a serious breast problem were shown a motivational video (Group 3), or navigated/accompanied to a breast problem center for evaluation (Group 4). Results: Only three visited women refused evaluation. The manual data acquisition group (1) had missing data in 80% of cases, and took an average of 5 minutes longer to acquire, versus no missing data in the cell phone-reporting groups (2,3 and 4). One woman was identified with stage III breast cancer, and was appropriately treated. Conclusions: Among very poor rural Bangladeshi women, there was very limited reluctance to undergo breast evaluation. The estimated rarity of clinical breast cancer is supported by these population-based findings. The feasibility and efficient use of mobile technology in this setting is supported. Successor studies may most appropriately be trials focusing on improving the suggested benefits of motivation and navigation, on increasing the numbers of cases found, and on stage of disease at diagnosis as the primary endpoint.