Mobile health programs are becoming an increasingly popular medium for dissemination of health information among beneficiaries in less privileged communities. Kilkari is one of the world's largest mobile health programs which delivers time sensitive audio-messages to pregnant women and new mothers. We have been collaborating with ARMMAN, a non-profit in India which operates the Kilkari program, to identify bottlenecks to improve the efficiency of the program. In particular, we provide an initial analysis of the trajectories of beneficiaries' interaction with the mHealth program and examine elements of the program that can be potentially enhanced to boost its success. We cluster the cohort into different buckets based on listenership so as to analyze listenership patterns for each group that could help boost program success. We also demonstrate preliminary results on using historical data in a time-series prediction to identify beneficiary dropouts and enable NGOs in devising timely interventions to strengthen beneficiary retention.

翻译：移动健康项目正日益成为向弱势社区受益人传播健康信息的流行媒介。Kilkari是全球最大的移动健康项目之一，为孕妇和新妈妈提供具有时效性的音频信息。我们与运营Kilkari项目的印度非营利组织ARMMAN合作，识别瓶颈以提升项目效率。具体而言，我们初步分析了受益人与移动健康项目互动的轨迹，并探讨了可能增强项目成功的可优化要素。我们根据收听率将受众人群分为不同组别，以分析各组的收听模式，从而助力提升项目成功率。此外，我们还展示了利用历史数据进行时间序列预测的初步结果，用于识别受益人流失情况，帮助非政府组织及时制定干预措施以增强受益人留存率。