预测模型启动和延迟的心理健康接触抑郁症的预测建模
Vanessa Panaite1,2, Dezon K Finch3, Paul Pfeiffer4,5
1Research & Development Service, James A. Haley Veterans' Hospital, Tampa, FL, USA. vanessa.panaite2@va.gov.
BMC health services research
|April 25, 2024
概括
接受VA残疾福利的患有抑郁症的退伍军人更有可能开始接受治疗. 心理健康护理史预测治疗启动延迟. 需要进一步的研究来改善退伍军人的抑郁症管理.
科学领域:
- 心理健康研究 心理健康研究
- 退伍军人事务 医疗保健 医疗保健
- 临床信息学 临床信息学
背景情况:
- 抑郁症在持久自由行动/伊拉克自由行动 (OEF/OIF) 退伍军人中很常见.
- 退伍军人精神卫生保健的利用率很低.
- 了解影响治疗启动和延迟的因素至关重要.
研究的目的:
- 识别与延迟或没有启动抑郁症治疗相关的电子健康记录 (EHR) 因素.
- 评估回归和机器学习模型对治疗启动的预测准确度.
主要方法:
- 对127,423名经过OEF/OIF退伍军人被诊断患有抑郁症 (2001-2021) 的回顾性队列分析.
- 提取的EHR数据,包括12个月的诊断前后患者信息.
- 测试的预测因素,以区分治疗开始,延迟或没有治疗.
主要成果:
- 在108,457名退伍军人中,55,492名退伍军人患有抑郁症延迟治疗.
- 男性性别,缺乏VA残疾福利,轻度抑郁症和先前的心理治疗与较少的治疗启动有关.
- 心理健康治疗史,焦虑障碍和积极的抑郁屏幕预测了更快的启动.
- 预测模型的准确性是适度的 (ROC AUC=0.59,F-测量=0.46).
结论:
- VA残疾福利强烈预测治疗的开始.
- 心理健康治疗史强烈预测推迟启动.
- 目前的预测者准确度不高,这凸显了抑郁症管理策略需要额外的因素.
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