探索瑞士高精神病医院住院患者利用率的相关性:描述性和机器学习分析
Mariela E Jaffé1,2, Stefan Weinmann1,3, Andrea H Meyer4
1University Psychiatric Clinics (UPK), University of Basel, Basel, Switzerland.
BMC psychiatry
|December 23, 2024
概括
患者的特征很少解释精神病医院住院的频率. 然而,未满足的患者需求是一个重要的预测因素,表明有针对性的干预措施可以改善护理并减少住院时间.
科学领域:
- 精神病学是一个精神病学.
- 医疗保健服务研究 医疗服务研究
- 临床心理学 临床心理学
背景情况:
- 研究了影响精神病患者住院服务利用的因素.
- 检查了患者的社会人口统计学,精神病学和心理特征.
研究的目的:
- 了解精神病医院住院护理利用的模式.
- 为了确定高与低服务使用的预测因素.
- 为改善精神病医疗服务提供提供信息.
主要方法:
- 在巴塞尔大学精神病诊所 (UPK) 的120名住院患者的横截面研究.
- 用临床尺度进行患者采访.
- 使用回归和随机森林模型,分析了30个月内的住院治疗日数.
主要成果:
- 选择的患者变量解释了住院日数中小比例的差异 (交叉验证R2 0.16-0.22).
- 在所有统计模型中,未满足的患者需求是住院治疗持续时间的重要相关因子.
- 使用了复杂的统计模型 (单变数/多变数回归,LASSO,随机森林).
结论:
- 精神病医疗服务的高利用率是复杂的,并不能完全由人口,社会或心理因素来解释.
- 自我报告的未满足的患者需求显示为减少住院治疗的目标.
- 对未满足需求的进一步研究可能会导致更为量身定制的精神病治疗.
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