连接学习 早期精神病干预网络的医疗保健系统枢纽:程序和参与者特征
Monica E Calkins1, Megan Jumper1, Arielle Ered1
1Neurodevelopment and Psychosis Section, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
连接学习医疗保健系统成功实施了早期精神病干预计划的标准化,计算机化评估电池. 该系统可在多个地点改善数据收集和质量改善,帮助研究和临床服务.
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:
- 国家心理健康研究所资助早期精神病干预网络 (EPINET),以改善对患有精神病第一发作的年轻人的护理.
- 连接学习医疗保健系统 (CLHS) 是八个EPINET中心之一,专注于马里兰州和宾夕法尼亚州.
- 通过25个协调专科护理计划的统一数据收集和分析,CLHS旨在促进持续的质量改进.
研究的目的:
- 描述CLHS中心及其计划.
- 详细说明与国家EPINET电池协调的全枢纽核心评估电池的开发和实施.
- 呈现初步的计划和参与者特征.
主要方法:
- 开发和实施计算机化核心评估电池.
- 每六个月进行一次评估的管理.
- 创建一个数据管理和分析的综合系统.
主要成果:
- 在2021年1月至2023年11月期间,有1059名新参与者被录取;总队列包括1381人.
- 从797名和1319名参与者分别收集了1245个完整评估和1920个部分评估电池.
- 该中心是全国数据协调中心的第三大数据贡献者.
结论:
- 针对早期精神病的标准化,计算机化的核心评估电池已在两个州成功实施.
- 实施的系统有助于改善临床服务和结果.
- 该研究为使用EPINET国家数据库的研究人员提供了方法的见解,以推进早期精神病研究.
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