Healthcare Application User Churn Measure
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A Healthcare Application User Churn Measure is an healthcare app user engagement measure for healthcare application users.
- Context:
- output: a Healthcare App User Churn Score.
- It can range from being a Restropective Healthcare App User Churn Measure to being a Predictive Healthcare App User Churn Measure.
- …
- Example(s):
- Counter-Example(s):
- See: Video Game Matchmaking, Video Game Personalization.
References
2022
- (Olaniyiusuf et al., 2022) ⇒ Babaniyi Y. Olaniyiusuf, Ana Fernández del Río, África Periáñez, and Lauren Bellhouse. (2022). “User Engagement and Churn in Mobile Health Applications.” arXiv preprint arXiv:2206.08178
- ABSTRACT: Mobile health apps are revolutionizing the healthcare ecosystem by improving communication, efficiency, and quality of service. In low- and middle-income countries, they also play a unique role as a source of information about health outcomes and behaviors of patients and healthcare workers, while providing a suitable channel to deliver both personalized and collective policy interventions. We propose a framework to study user engagement with mobile health, focusing on healthcare workers and digital health apps designed to support them in resource-poor settings. The behavioral logs produced by these apps can be transformed into daily time series characterizing each user's activity. We use probabilistic and survival analysis to build multiple personalized measures of meaningful engagement, which could serve to tailor content and digital interventions suiting each health worker's specific needs. Special attention is given to the problem of detecting churn, understood as a marker of complete disengagement. We discuss the application of our methods to the Indian and Ethiopian users of the Safe Delivery App, a capacity-building tool for skilled birth attendants. This work represents an important step towards a full characterization of user engagement in mobile health applications, which can significantly enhance the abilities of health workers and, ultimately, save lives.