缺乏学习卫生系统数据的问题集中在第一个情节的精神病症上
Delbert G Robinson1, Nina R Schooler2, Majnu John3
1The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Departments of Psychiatry and of Molecular Medicine, Hempstead, NY, USA; The Feinstein Institutes for Medical Research, Institute of Behavioral Science, Manhasset, NY, USA; The Zucker Hillside Hospital, Psychiatry Research, Northwell Health System, Glen Oaks, NY, USA.
Schizophrenia research
|April 2, 2025
概括
缺少的数据显著影响学习健康系统 (LHS) 专注于首发精神病护理. 需要制定战略来改善数据参与,并解决影响数据完整性的患者特征.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 医疗保健服务研究 医疗服务研究
- 在医疗保健中的数据科学.
背景情况:
- 学习健康系统 (LHS) 依赖于全面的数据来增强患者护理.
- 服务于第一发精神病患者的ESPRITO LHS面临着数据完整性的挑战.
- 了解数据差距对于优化LHS有效性至关重要.
研究的目的:
- 调查ESPRITO LHS中缺少数据的原因和程度.
- 确定与患者参与和治疗脱离相关的因素.
- 为未来LHS倡议的设计和实施提供信息.
主要方法:
- 从ESPRITO LHS内的13家美国诊所收集了数据,这些诊所提供协调专科护理 (CSC).
- 分析检查了数据缺失的原因,包括未注册,治疗中断和不完整的患者报告结果.
- 知情同意使用口头选择退出格式,导致高初始协议但数据共享限制.
主要成果:
- 口头选择退出同意导致83.5%的同意,但限制了数据共享.
- 15.4%的参与者在六个月内过早终止治疗.
- 住房不稳定和缺乏长效注射抗精神病药物等因素增加了脱学风险,而商业保险和更长的治疗时间降低了这一风险.
- 以后的评估显示,患者报告结果的缺失数据高达59.8%.
结论:
- 缺少的数据对LHS来说是一个重大障碍,该LHS专注于第一发精神病.
- LHS设计必须考虑影响数据参与和参与的因素.
- 开发减少缺失数据的干预措施应该是LHS的研究优先事项.
- 在LHS数据分析中,需要考虑参与者特征的潜在偏差.
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