Spatio-Temporal Big Data Analysis of Adherence Behaviour in Chronic Disease

Spatio-Temporal Big Data Analysis of Adherence Behaviour in Chronic Disease

Many patients in New Zealand don’t receive the benefits from their medications due to poor medication behaviour, referred to as medication adherence. Previously, data related to medication adherence has been gathered using questionnaire surveys based on the Health Belief Model (HBM), a psychological model that attempts to explain and predict health behaviours. This research study uses big data analytics to conduct a spatial and time series analysis using new and varied sources. It will be based on the HBM and look at patients’ geographical information and medication history data. It will focus on cardiovascular disease, although it is expected the same findings will be able to be applied to other chronic illnesses.

Doctoral student: Feiyu (Albert) Hu, University of Auckland
Supervisor: Professor Jim Warren, University of Auckland