Implementing traumatic brain injury screening in behavioral healthcare: protocol for a prospective mixed methods study.

Implementing traumatic brain injury screening in behavioral healthcare: protocol for a prospective mixed methods study.
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DOI:
10.1186/s43058-022-00261-x
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发表时间:
2022-02-14
影响因子:
--
通讯作者:
Corrigan JD
Corrigan JD
中科院分区:
其他
文献类型:
--
作者:
Coxe-Hyzak KA;Bunger AC;Bogner J;Davis AK;Corrigan JD

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个人和创新的特点是采用循证实践(EBP)的基本决定因素。然而,我们的理解是什么驱动EBP采用是有限的,通过理论驱动的假设检验的实施决定因素和实施结果之间的关系的研究。因此,借鉴计划行为理论和创新扩散理论,本研究将理清供应商特征和创新因素之间的关系,早期采用俄亥俄州州立大学创伤性脑损伤识别方法(OSU TBI-ID)的行为健康设置。本研究将采用解释性序贯混合方法设计。一期(定量),时间1,我们将调查行为健康提供者(N = 200)的态度,感知的行为控制,主观规范,以及在完成介绍OSU TBI-ID的视频模块后筛查TBI的意图。在时间2,我们将检查上个月进行的TBI筛查数量,以及可行性,适当性,以及在实践中使用OSU TBI-ID的可接受性。结构方程模型将被用来确定是否供应商的特点预测TBI筛选的意图,以及意图是否介导实际的TBI筛选行为。然后,我们将测试是否可行性,适当性和可接受性的OSU TBI-ID温和的意图和TBI筛查行为之间的关系。在第二阶段(定性),我们将使用第一阶段的结果制定一个访谈指南,并将与提供者(N = 20)进行半结构化访谈,以评估TBI筛查采用的背景决定因素。将使用执行情况研究综合框架中的敏感概念对定性数据进行专题分析,并使用联合展示将定性数据与定量结果结合起来。这项混合方法研究利用了两个理论驱动的假设,桥接近端(例如,筛查意图)到远端(实际行为)实施结果,并将定性地将这些结果置于背景中,以促进我们对TBI筛查采用未能转化为行为医疗保健背景的原因的理解。这项研究的结果将提供深入了解是什么推动了TBI筛查的采用,以便可以更精确地选择实施策略,以提高TBI筛查在行为医疗保健中的采用,维持和扩大。在线版本包含补充材料,可通过10.1186/s43058-022-00261-x获得。
Characteristics of both individuals and innovations are foundational determinants to the adoption of evidenced-based practices (EBPs). However, our understanding about what drives EBP adoption is limited by few studies examining relationships among implementation determinants and implementation outcomes through theory-driven hypothesis testing. Therefore, drawing on the Theory of Planned Behavior and Diffusion of Innovations Theory, this study will disentangle relationships between provider characteristics and innovation factors on the early adoption of the Ohio State University Traumatic Brain Injury Identification Method (OSU TBI-ID) in behavioral health settings. This study will utilize an explanatory sequential mixed methods design. In Phase I (quantitative), Time 1, we will investigate behavioral health providers (N = 200) attitudes, perceived behavioral control, subjective norms, and intentions to screen for TBI upon completion of a video module introducing the OSU TBI-ID. At Time 2, we will examine the number of TBI screens conducted over the previous month, as well as the feasibility, appropriateness, and acceptability of using the OSU TBI-ID in practice. Structural equation modeling will be used to determine whether provider characteristics predict TBI screening intentions, and whether intentions mediate actual TBI screening behaviors. We will then test whether feasibility, appropriateness, and acceptability of the OSU TBI-ID moderates the relationship between intentions and TBI screening behaviors. In Phase II (qualitative), we will develop an interview guide using results from Phase I and will conduct semi-structured interviews with providers (N = 20) to assess contextual determinants of TBI screening adoption. Qualitative data will be thematically analyzed using sensitizing concepts from the Consolidated Framework for Implementation Research and integrated with the quantitative results using a joint display. This mixed methods study capitalizes on two theory-driven hypotheses bridging proximal (e.g., screening intent) to distal (actual behaviors) implementation outcomes and will contextualize these results qualitatively to advance our understanding about why TBI screening adoption has failed to translate to the behavioral healthcare context. Results of this study will offer insights into what is driving TBI screening adoption so that implementation strategies can be selected with greater precision to improve the adoption, sustainment, and scale-up of TBI screening in behavioral healthcare. The online version contains supplementary material available at 10.1186/s43058-022-00261-x.
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期刊: Implementation science : IS
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