Financial technologies (FinTech) for mental health: The potential of objective financial data to better understand the relationships between financial behavior and mental health
Johnna Blair, Jeff Brozena, Mark Matthews, Thomas Richardson, Saeed, Abdullah

TL;DR
This paper explores innovative methods for analyzing personal financial data to better understand and potentially predict mental health issues, highlighting challenges and future directions in ethical and technical aspects.
Contribution
It introduces novel research methods for integrating financial and mental health data through a case study, outlining challenges and future research directions.
Findings
No statistically significant trends found in the case study
Highlights challenges in accessing and analyzing financial data
Proposes future research avenues for mental health interventions
Abstract
In this paper, we present novel research methods for collecting and analyzing personal financial data alongside mental health factors, illustrated through a N=1 case study using data from one individual with bipolar disorder. While we have not found statistically significant trends nor our findings are generalizable beyond this case, our approach provides an insight into the challenges of accessing objective financial data. We outline what data is currently available, what can be done with it, and what factors to consider when working with financial data. More specifically, using these methods researchers might be able to identify symptomatic traces of mental ill health in personal financial data such as identifying early warning signs and thereby enable preemptive care for individuals with serious mental illnesses. Based on this work, we have also explored future directions for…
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Taxonomy
TopicsFinTech, Crowdfunding, Digital Finance · Digital Mental Health Interventions · Mental Health Research Topics
