Technology Division, Cullen College of Engineering, University of Houston, 4230 Martin Luther King Blvd., Room 300, Houston, TX, 77204, USA.
Graduate College of Social Work, Center for Mental Health Research and Innovation in Treatment Engagement and Service (MH-RITES) Research Center, University of Houston, 3511 Cullen Boulevard, 110HA, Houston, TX, 77204, USA.
Community Ment Health J. 2024 Apr;60(3):620-625. doi: 10.1007/s10597-023-01195-x. Epub 2023 Oct 7.
Federally funded medical and behavioral healthcare programs often have substantial evaluation outcome tracking and reporting requirements, which can become burdensome to program staff resulting in decreased buy-in, increased chance of staff burnout and turnover, and less rigorous and consistent data collection efforts. To address this issue, a novel data collection approach, "exception reporting," was implemented to supplement and support the required data collection for a federally funded Assertive Outpatient Treatment (AOT) program. This work details the process and outcomes related to exception reporting for this comprehensive behavioral health treatment program that serves justice involved clients with serious mental illness (SMI). Results indicate that exception reporting was easily integrated into clinician's normal workflows and resulted in a number of benefits. Specifically, results indicated that exception reporting decreased the data collection burden for program staff while allowing them to efficiently track program outcomes required by the funder. Additional research into which practice settings exception reporting can most easily be integrated into, and which client outcomes may be best tracked using this methodology, is indicated.
联邦政府资助的医疗和行为保健计划通常有大量的评估结果跟踪和报告要求，这可能会给项目工作人员带来负担，导致他们的参与度降低、员工倦怠和离职的可能性增加，以及数据收集工作的严谨性和一致性降低。为了解决这个问题，我们采用了一种新颖的数据收集方法，即“异常报告”，以补充和支持联邦政府资助的积极门诊治疗（AOT）项目的必要数据收集。这项工作详细介绍了针对这个综合性行为健康治疗计划的异常报告过程和结果，该计划为有严重精神疾病（SMI）的涉及司法问题的客户提供服务。结果表明，异常报告很容易融入临床医生的正常工作流程，并带来了一些好处。具体来说，结果表明，异常报告减轻了项目工作人员的数据收集负担，同时允许他们有效地跟踪资助者要求的项目结果。需要进一步研究异常报告可以最容易地融入哪些实践环境，以及使用这种方法可以最好地跟踪哪些客户结果。
