BACKGROUND: Mortality from @entity0 is high in low- and middle-income countries, in part because most @entity1 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 @entity0 by @entity497 ( @entity497 ) using different data collection methods and approaches to management of @entity1 found to have @entity1558 . After training 8 @entity497 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 @entity497 visited 3150 @entity1 >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 @entity1 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 @entity1 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 @entity1 was identified with @entity0 , and was appropriately treated. CONCLUSIONS: Among very poor rural Bangladeshi @entity1 , there was very limited reluctance to undergo breast evaluation. The estimated rarity of clinical @entity0 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.

Feasibility Study of Case-Finding for XXXX by Community Health Workers in Rural Bangladesh.

@entity1 :: ('9606', 'Species') :: ['women', 'woman', 'patients'] @entity1558 :: ('MESH:D001941', 'Disease') :: ['breast abnormalities'] @entity497 :: ('MESH:D003147', 'Disease') :: ['community health workers', 'CHWs'] @entity0 :: ('MESH:D001943', 'Disease') :: ['breast cancer', 'stage III breast cancer']
@entity0 :: (MESH:D001943,Disease) :: ['Breast Cancer']
