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在新冠疫情大流行之前,西班牙裔精神卫生保健患者中的贫困与自杀意念。

Poverty and Suicidal Ideation Among Hispanic Mental Health Care Patients Leading up to the COVID-19 Pandemic.

机构信息

Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT, USA.

College of Social and Behavioral Science, University of Utah, Salt Lake City, UT, USA.

出版信息

Hisp Health Care Int. 2024 Mar;22(1):6-10. doi: 10.1177/15404153231181110. Epub 2023 Jun 13.

Abstract

Suicide rates have risen in Hispanic communities since 2015, and poverty rates among Hispanics often exceed the national average. Suicidality is a complex phenomenon. Mental illness may not alone explain whether suicidal thoughts or behaviors will occur; it remains uncertain how poverty affects suicidality among Hispanic persons with known mental health conditions. Our objective was to examine whether poverty was associated with suicidal ideation among Hispanic mental healthcare patients from 2016 to 2019. We used de-identified electronic health record (EHR) data from Holmusk, captured using the MindLinc EHR system. Our analytic sample included 4,718 Hispanic patient-year observations from 13 states. Holmusk uses deep-learning natural language processing (NLP) algorithms to quantify free-text patient assessment data and poverty for mental health patients. We conducted a pooled cross-sectional analysis and estimated logistic regression models. Hispanic mental health patients who experienced poverty had 1.55 greater odds of having suicidal thoughts in a given year than patients who did not experience poverty. Poverty may put Hispanic patients at greater risk for suicidal thoughts even when they are already receiving treatment for psychiatric conditions. NLP appears to be a promising approach for categorizing free-text information on social circumstances affecting suicidality in clinical settings.

摘要

自 2015 年以来,西班牙裔社区的自杀率有所上升,西班牙裔的贫困率往往高于全国平均水平。自杀倾向是一种复杂的现象。精神疾病本身可能无法解释是否会出现自杀念头或行为;目前仍不确定贫困对有已知心理健康状况的西班牙裔人群的自杀倾向有何影响。我们的目的是研究贫困是否与 2016 年至 2019 年期间西班牙裔精神卫生保健患者的自杀意念有关。我们使用了来自 Holmusk 的去识别电子健康记录 (EHR) 数据,这些数据是使用 MindLinc EHR 系统捕获的。我们的分析样本包括来自 13 个州的 4718 名西班牙裔患者年观察结果。Holmusk 使用深度学习自然语言处理 (NLP) 算法来量化心理健康患者的自由文本患者评估数据和贫困情况。我们进行了汇总横断面分析并估计了逻辑回归模型。在给定的一年中,经历贫困的西班牙裔心理健康患者出现自杀念头的可能性比没有经历贫困的患者高 1.55 倍。即使西班牙裔患者已经接受精神疾病治疗,贫困也可能使他们面临更大的自杀念头风险。NLP 似乎是一种很有前途的方法,可以在临床环境中对影响自杀倾向的社会环境的自由文本信息进行分类。

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