arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~

专用心理健康人工智能(Ash)使用者的医疗资源利用、慢性病管理与工作场所功能:横断面研究

Healthcare Utilization, Chronic Condition Management, and Workplace Functioning Among Users of a Purpose-Built Mental Health AI (Ash): Cross-Sectional Study

Kristen M. Van Swearingen, Thomas D. Hull, Jeffrey Swigert, Caitlin A. Stamatis

arXiv 2609.08890首次发表:更新:

发表机构

The University of North Carolina at Charlotte; Slingshot AI; University of Southern California's Center for Economic and Social Research (CESR)(北卡罗来纳大学夏洛特分校; Slingshot AI; 南加州大学经济与社会研究中心)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本研究通过横断面比较发现,心理健康AI(Ash)的活跃使用者在心理健康改善、药物依从性等方面表现更好,且急诊和缺勤率更低,提示专用AI对共病管理有潜在益处。

AI 中文摘要

心理健康挑战可能加剧身体症状并使慢性病的管理复杂化。专用人工智能(AI)工具可能为共病心理和身体健康问题提供可扩展的支持。本横断面研究比较了心理健康人工智能(Ash)的活跃使用者(n=169)与非使用者(n=73)在过去6个月中的医疗资源利用、慢性病管理、身体健康行为、心理健康变化和工作场所功能。参与者至少患有一种慢性病(如高血压、慢性疼痛)。二元结果通过线性概率模型建模为调整后的风险差(RDs),连续结果使用线性回归建模;所有模型均针对高血压进行了调整。相对于非使用者,活跃使用者更有可能报告心理健康改善(61.4%对34.3%;RD=0.27)、更高的药物依从性(91.7%对76.4%,RD=0.15)、更少的跳过或延迟的慢性病护理活动(b=-0.44),并且更不可能报告重复急诊就诊(9.5%对23.3%;RD=-0.15)和每月或更频繁的缺勤(24.2%对45.2%;RD=-0.20,所有p值<0.05)。研究结果提供了初步证据,表明使用专用AI可能与共病心理和身体问题管理者的积极症状和利用结果相关。

英文摘要

Mental health challenges can exacerbate physical symptoms and complicate management of chronic conditions. Purpose-built artificial intelligence (AI) tools may offer scalable support for co-occurring mental and physical health concerns. This cross-sectional study compared past-6-month healthcare utilization, chronic condition management, physical health behaviors, mental health change, and workplace functioning between active (n = 169) and non-users (n = 73) of a mental health AI (Ash). Participants had at least one chronic condition (e.g. hypertension, chronic pain). Binary outcomes were modeled as adjusted risk differences (RDs) using linear probability models and continuous outcomes were modeled with linear regression; all models were adjusted for hypertension. Relative to non-users, active users were more likely to report improved mental health (61.4% vs. 34.3%; RD = 0.27), higher medication adherence (91.7% vs. 76.4%, RD = 0.15), fewer skipped or delayed chronic-condition care activities (b = -0.44), and were less likely to report repeat urgent care visits (9.5% vs. 23.3%; RD = -0.15) and monthly-or-more absenteeism (24.2% vs. 45.2%; RD = -0.20, all ps < .05). Findings provide preliminary evidence that use of purpose-built AI may be associated with positive symptom-based and utilization outcomes for those managing co-occurring mental and physical concerns.

论文原文

arXiv 摘要页 · PDF 原文 · HTML 原文

↑