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.

通过对受众互动轨迹的初步分析，我们研究了移动健康项目中可以提高效率的因素，并且根据听众群体的听众情况进行聚类分析，展示了使用历史数据进行时间序列预测以识别受益人退出并帮助非政府组织及时干预以加强受益人保留的初步结果。

大规模移动健康计划中低听众趋势的分析与预测：初步调查