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

金融活动数据作为双相情感障碍的客观行为标志：可行性和可接受性研究

• 批准号: 10575894
• 负责人: Saeed Abdullah
• 金额: $ 19.82万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10575894
• 关键词: Address; Adopted; Affective; Behavior; Behavior Disorders; Behavioral; Bipolar Disorder; Caring; Categories; Data; Decision Making; Devices; Early Diagnosis; Early identification; Ensure; Financial Activity; Financial Support; Focus Groups; Goals; Group Interviews; Impaired cognition; Impulsivity; In Situ; Individual; Intervention; Knowledge; Label; Measurement; Mental disorders; Methods; Mind; Modeling; Outcome; Participant; Pattern; Personal Satisfaction; Pilot Projects; Population; Privacy; Quality of life; Randomized, Controlled Trials; Recording of previous events; Reporting; Research; Risk Taking; Self Assessment; Stable Populations; Surveys; Symptoms; System; Time; Training; Vision; Vulnerable Populations; Work; acceptability and feasibility; application programming interface; computer framework; eHealth; evidence base; expectation; federated learning; financial decision making; hypomania; improved; insight; machine learning model; payment; personalized intervention; preemptive intervention; preventive intervention; privacy preservation; prototype; research vision; rural area; tool; trend; usability

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.

项目摘要 躁郁症（BD）与金融不稳定密切相关。 BD的有症状时期 表现为财务决策不良。例如，有70％的BD患者报告了冲动 在躁狂症期间的支出。在症状时期，这种有问题的财务行为可能导致 严重的长期金融不稳定，这可能会严重影响BD和患有BD的人的生活质量 他们的护理伙伴。因此，保持财务稳定是确保长期的关键挑战 BD个人的健康。因此，人们越来越关注理解财务 BD个人的行为。但是，关于如何特质，仍然存在一个知识差距 上下文驱动的和特定于疾病的因素会影响BD的财务决策。此外，缺乏 颗粒状的，原位评估方法是针对发展和个性化的关键挑战 干预措施着重于该人群的财务稳定性。考虑到财务稳定的重要性 具有BD的人，这仍然是一个严重的知识差距，具有广泛的实际和社会意义。 近年来，在更开放和可访问的财务数据方面取得了长足的进步。我们 争辩说，颗粒和实时访问财务活动数据可能会导致范围的范式变化 财务健康和BD。也就是说，它可以提供一个独特的机会来探索细微的关系 在财务行为和BD之间，揭示了指示早期标志的财务模式，并发展 先发制人的干预措施，以维持财务稳定并改善该人群的长期生活质量。 该项目旨在提高使用财务活动数据作为BD中的客观行为标记的愿景。 我们将开发一个原型来收集隐私，定制的财务数据。原型也将 收集症状和疾病轨迹数据。我们将遵循eHealth Research中心（CEHRES）路线图 用于实施。我们将使用原型从BD的人（n = 50）中检索财务数据 最近24个月（即总共有1200个月的财务数据）。我们将使用数据来开发和评估 隐私保护机器学习模型，以识别BD中的早期训练标志。我们还将集中精力 小组访谈以收集BD个人的深入可用性和接受数据。 该项目将建立有关使用的可行性和可接受性的初步证据基础 财务活动数据是BD中的客观行为标记。考虑到BD与财务之间的关联 不稳定，该项目将为评估和干预方法提供至关重要的紧急见解 支持BD的财务稳定性和整体健康状况，包括居住在偏远和农村地区的人们。