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移动健康行为评估筛查工具(BAST):在慢性创伤性脑损伤中进行日常报告的 2 周内的开发和合规性。

The Behavioral Assessment Screening Tool for Mobile Health (BAST): Development and Compliance in 2 Weeks of Daily Reporting in Chronic Traumatic Brain Injury.

机构信息

From the Department of Physical Medicine & Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX; Department of Applied Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX; TIRR Memorial Hermann, Brain Injury Research Center, Houston, TX.

From the Department of Physical Medicine & Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX; Department of Applied Clinical Research, University of Texas Southwestern Medical Center, Dallas, TX.

出版信息

Arch Phys Med Rehabil. 2023 Feb;104(2):203-210. doi: 10.1016/j.apmr.2022.07.016. Epub 2022 Aug 12.

DOI:10.1016/j.apmr.2022.07.016
PMID:35964700
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9898098/
Abstract

OBJECTIVES

To develop and evaluate the feasibility of a short form of the Behavioral Assessment Screening Tool (BAST) for high frequency in situ self-reported assessment of neurobehavioral symptoms using mobile health technology for community-dwelling adults with traumatic brain injury (TBI).

DESIGN

Prospective, repeated-measures study of mHealth assessment of self-reported neurobehavioral symptoms in adults with and without a lifetime history of TBI over a 2-week period.

SETTING

Community.

PARTICIPANTS

Community-dwelling adults with (n=52) and without (n=12) a lifetime TBI history consented to the study (N=64).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

BAST subscales (2-items each): negative affect, fatigue, executive function, substance abuse, impulsivity; feasibility measured via compliance (assessments assigned/assessments completed) and participant-reported usability.

RESULTS

We developed the 10-item BAST as a screener for high frequency in situ self-reported assessment of neurobehavioral symptoms leveraging mHealth. Compliance for 2 weeks of BAST supports its feasibility. Fifty-six of 64 participants (87.5%) who completed baseline assessments completed the 2 weeks of daily assessments; all 8 participants who did not complete ecological momentary assessment had a history of TBI. Overall compliance was 81.4% (496 completed of 609 assigned assessments) among all 52 participants with TBI and 96.7% (494 completed of 511 assigned assessments) among the 44 who completed any daily measures, compared with 91.8% (135 completed of 147 assigned assessments) among those with no TBI history. Participants thought the daily surveys were easy to understand and complete and the number of prompts were reasonable.

CONCLUSIONS

Conducting daily high-frequency in situ self-reported assessment of neurobehavioral symptoms using the BAST is feasible among individuals with and without a lifetime history of TBI. Developing and evaluating self-reported assessments for community-based assessment is a critical step toward expanding remote clinical monitoring systems to improve post-TBI outcomes.

摘要

目的

利用移动健康技术,为社区居住的外伤性脑损伤(TBI)成年人开发并评估行为评估筛查工具(BAST)的简短形式,用于高频原位自我报告的神经行为症状评估的可行性。

设计

对使用移动健康技术的成年人进行为期 2 周的自我报告神经行为症状的 mHealth 评估的前瞻性、重复测量研究,其中包括有和没有终生 TBI 病史的成年人。

地点

社区。

参与者

同意参加该研究的社区居住的成年人(n=52)和没有(n=12)终生 TBI 病史的成年人(N=64)。

干预措施

无。

主要观察指标

BAST 分量表(每个分量表 2 项):负性情绪、疲劳、执行功能、物质滥用、冲动;通过依从性(评估分配/评估完成)和参与者报告的可用性来衡量可行性。

结果

我们开发了 10 项 BAST,作为利用 mHealth 进行高频原位自我报告神经行为症状评估的筛查工具。2 周的 BAST 依从性支持其可行性。完成基线评估的 64 名参与者中的 56 名(87.5%)完成了 2 周的日常评估;所有未完成生态瞬时评估的 8 名参与者均有 TBI 病史。在所有 52 名有 TBI 病史的参与者中,总体依从性为 81.4%(609 项评估中完成 496 项),在完成任何日常评估的 44 名参与者中,总体依从性为 96.7%(511 项评估中完成 494 项),而在没有 TBI 病史的参与者中,总体依从性为 91.8%(147 项评估中完成 135 项)。参与者认为每日调查易于理解和完成,并且提示数量合理。

结论

在有和没有终生 TBI 病史的个体中,使用 BAST 进行日常高频原位自我报告的神经行为症状评估是可行的。开发和评估基于社区的自我报告评估是将远程临床监测系统扩展到改善 TBI 后结果的关键步骤。

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