![]() ![]() Acceptability challenges were privacy concerns and lack of family involvement. Feasibility challenges were phone battery charging, data usage exceeding prepaid limits, and burden of carrying mobile phones. Radbeacon dot app windows#Across all participants, 5,579 of the hour-long data collection windows had at least one audio recording, 5,001 activity readings (M = 50.6% Mdn = 63.2%), 4,168 proximity readings (M = 41.1% Mdn = 47.6%), and 3,482 GPS readings (M = 35.4% Mdn = 39.2%). 38 mothers (11 depressed, 27 non-depressed) were enrolled. Of the 782 women approached, 320 met eligibility criteria and 38 mothers (11 depressed, 27 non-depressed) were enrolled. Endline qualitative interviews were conducted to understand mothers' experiences and perceptions of passive data collection. Feasibility and acceptability were evaluated based on the amount of passive sensing data collected compared to the total amount that could be collected in a 2-week period. Radbeacon dot app android#They were provided with an Android smartphone and a Bluetooth beacon to collect data in four domains: the mother's location using the Global Positioning System (GPS), physical activity using the phone's accelerometer, auditory environment using episodic audio recording on the phone, and mother-infant proximity measured with the Bluetooth beacon attached to the infant's clothing. Mothers (15-25 years old) with infants (< 12 months old) were recruited in person from vaccination clinics in rural Nepal. The StandStrong passive data collection platform was piloted with adolescent and young mothers, including mothers experiencing postpartum depression, in Nepal. We assessed feasibility and acceptability of the Sensing Technologies for Maternal Depression Treatment in Low Resource Settings (StandStrong) platform. Passive sensor data from mobile devices can shed light on daily activities, social behavior, and maternal-child interactions to improve maternal and child health services including mental healthcare. ![]()
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