异常报告:一种新的方法来跟踪多种行为健康结果
Jamison V Kovach1, Robin E Gearing2, Micki Washburn3
1Technology Division, Cullen College of Engineering, University of Houston, 4230 Martin Luther King Blvd., Room 300, Houston, TX, 77204, USA. jvkovach@uh.edu.
Community mental health journal
|October 7, 2023
概括
异常报告为服务严重精神疾病 (SMI) 患者的积极门诊治疗 (AOT) 计划的数据收集提供了便利. 这种方法减少了员工负担,同时保持了联邦资助的行为健康保健的结果跟踪.
科学领域:
- 行为健康 行为健康
- 精神疾病的治疗方法 治疗精神疾病
- 项目评估 项目评估
背景情况:
- 联邦资助的医疗保健计划面临着巨大的报告负担.
- 员工疲劳和不一致的数据收集是常见的问题.
- 自主门诊治疗 (AOT) 计划需要严格的结果跟踪.
研究的目的:
- 引入和评估一种新的数据收集方法:异常报告.
- 评估异常报告对员工负担和数据收集效率的影响.
- 探索异常报告在行为健康环境中的整合.
主要方法:
- 实施了异常报告,以补充AOT程序中的标准数据收集.
- 专注于一个服务于严重精神疾病 (SMI) 的司法涉及客户的程序.
- 评估了工作流集成的方便性和对数据收集的影响.
主要成果:
- 异常报告很容易整合到临床工作流程中.
- 减少了项目工作人员收集数据的负担.
- 启用了对所需程序结果的有效跟踪.
结论:
- 异常报告是一种可行的方法,可以减轻行为健康计划中的数据收集负担.
- 这种方法支持对联邦政府资助的倡议进行有效的结果跟踪.
- 需要进一步的研究来确定异常报告的最佳设置和结果.
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