Financial Activity Data as an Objective Behavioral Marker in Bipolar Disorder: A Feasibility and Acceptance Study

项目摘要 双相情感障碍(BD)与金融不稳定密切相关。BD的症状期通常 表现在糟糕的财务决策上。例如，70%的BD患者报告有冲动 轻躁狂期间的消费。在症状期间，这种有问题的金融行为可能会导致 严重的长期财务不稳定，这可能严重影响BD和BD患者的生活质量 他们的护理伙伴。因此，保持金融稳定是确保长期稳定的关键挑战 BD患者的幸福感。因此，越来越多的人关注于理解金融 BD患者的行为特征。然而，关于有多独特， 背景驱动的和疾病特定的因素影响BD的财务决策。此外，缺乏 细粒度的现场评估方法是及时开发和个性化开发的关键挑战 关注这一人群的金融稳定的干预措施。鉴于金融稳定对 对于患有BD的人来说，这仍然是一个严重的知识鸿沟，具有广泛的实际和社会影响。 近年来，在更开放和更容易获得的金融数据方面取得了相当大的进展。我们 认为对金融活动数据的细粒度和实时访问可能会导致该领域的范式转变 财务状况和BD。也就是说，它可以提供一个独特的机会来探索微妙的关系 在金融行为与BD之间，发现预示预警迹象的金融模式，并发展 先发制人的干预措施，以维持金融稳定和改善这些人口的长期生活质量。 该项目旨在推动将金融活动数据作为BD中的客观行为标记的愿景。 我们将开发一个原型来收集保护隐私的定制金融数据。原型还将 收集症状和疾病轨迹数据。我们将遵循电子健康研究中心(CeHRES)的路线图 以供实施。我们将使用该原型检索患有BD(N=50)的个人的财务数据 最近24个月(即总共1200个月的财务数据)。我们将使用这些数据来开发和评估 保护隐私的机器学习模型，以识别BD的早期预警迹象。我们还将进行重点关注 小组访谈，从BD患者那里收集深入的可用性和接受度数据。 该项目将建立一个关于使用的可行性和可接受性的初步证据基础 金融活动数据作为BD的客观行为标记物。鉴于BD和金融之间的关联 在不稳定的情况下，该项目将为评估和干预方法提供关键和紧迫的见解 支持BD的金融稳定和整体福祉，包括那些生活在偏远和农村地区的人。

Project Summary Bipolar disorder (BD) is strongly associated with financial instability. Symptomatic periods in BD often manifest in poor financial decision-making. For example, 70% individuals with BD have reported impulsive spending during hypomania. Such problematic financial behaviors during symptomatic periods can lead to serious long-term financial instability, which can severely impact the quality of life for individuals with BD and their care partners. Maintaining financial stability is, thus, a critical challenge to ensure the long-term wellbeing for individuals with BD. As such, there has been an increasing focus on understanding financial behaviors of individuals with BD. However, there remains a knowledge gap regarding how idiosyncratic, context-driven, and illness-specific factors impact financial decision-making in BD. Furthermore, the lack of granular, in-situ assessment methods is a key challenge against developing just-in-time and personalized interventions focusing on financial stability for this population. Given the importance of financial stability for individuals with BD, this remains a serious knowledge gap with broad practical and societal implications. In recent years, there has been a considerable progress toward more open and accessible financial data. We argue that the granular and real-time access to financial activity data can lead to a paradigm shift in the domain of financial wellbeing and BD. That is, it can provide a unique opportunity to explore the nuanced relationship between financial behaviors and BD, uncover financial patterns indicative of early-warning signs, and develop preemptive interventions to sustain financial stability and improve long-term quality of life for this population. This project aims to advance this vision of using financial activity data as an objective behavioral marker in BD. We will develop a prototype to collect privacy-preserving, customized financial data. The prototype will also collect symptom and illness trajectory data. We will follow the Center for eHealth Research (CeHRes) roadmap for implementation. We will use the prototype to retrieve financial data from individuals with BD (N=50) for the last 24 months (i.e., 1200 months of financial data in total). We will use the data to develop and evaluate privacy-preserving machine learning models to identify early-warning signs in BD. We will also conduct focus group interviews to collect in-depth usability and acceptance data from individuals with BD. This project will establish a preliminary evidence base regarding the feasibility and acceptability of using financial activity data as an objective behavioral marker in BD. Given the association between BD and financial instability, the project will provide crucial and urgent insights into assessment and intervention methods to support financial stability and overall wellbeing in BD, including for those living in remote and rural areas.