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

Abstract Background 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...

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Main Authors: Kathryn A. Coxe-Hyzak, Alicia C. Bunger, Jennifer Bogner, Alan K. Davis, John D. Corrigan
Format: Article
Language:English
Published: BMC 2022-02-01
Series:Implementation Science Communications
Subjects:
Online Access:https://doi.org/10.1186/s43058-022-00261-x
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author Kathryn A. Coxe-Hyzak
Alicia C. Bunger
Jennifer Bogner
Alan K. Davis
John D. Corrigan
author_facet Kathryn A. Coxe-Hyzak
Alicia C. Bunger
Jennifer Bogner
Alan K. Davis
John D. Corrigan
author_sort Kathryn A. Coxe-Hyzak
collection DOAJ
description Abstract Background 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. Methods 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. Discussion 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.
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spelling doaj.art-9521de6eaaf7480596f04bd4867147f12022-12-22T00:06:49ZengBMCImplementation Science Communications2662-22112022-02-013111310.1186/s43058-022-00261-xImplementing traumatic brain injury screening in behavioral healthcare: protocol for a prospective mixed methods studyKathryn A. Coxe-Hyzak0Alicia C. Bunger1Jennifer Bogner2Alan K. Davis3John D. Corrigan4College of Social Work, The Ohio State UniversityCollege of Social Work, The Ohio State UniversityDepartment of Physical Medicine and Rehabilitation, The Ohio State University College of MedicineCollege of Social Work, The Ohio State UniversityDepartment of Physical Medicine and Rehabilitation, The Ohio State University College of MedicineAbstract Background 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. Methods 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. Discussion 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.https://doi.org/10.1186/s43058-022-00261-xTraumatic brain injuryOSU TBI-IDTBI screeningBehavioral health treatmentMixed methodsTheory of planned behavior
spellingShingle Kathryn A. Coxe-Hyzak
Alicia C. Bunger
Jennifer Bogner
Alan K. Davis
John D. Corrigan
Implementing traumatic brain injury screening in behavioral healthcare: protocol for a prospective mixed methods study
Implementation Science Communications
Traumatic brain injury
OSU TBI-ID
TBI screening
Behavioral health treatment
Mixed methods
Theory of planned behavior
title Implementing traumatic brain injury screening in behavioral healthcare: protocol for a prospective mixed methods study
title_full Implementing traumatic brain injury screening in behavioral healthcare: protocol for a prospective mixed methods study
title_fullStr Implementing traumatic brain injury screening in behavioral healthcare: protocol for a prospective mixed methods study
title_full_unstemmed Implementing traumatic brain injury screening in behavioral healthcare: protocol for a prospective mixed methods study
title_short Implementing traumatic brain injury screening in behavioral healthcare: protocol for a prospective mixed methods study
title_sort implementing traumatic brain injury screening in behavioral healthcare protocol for a prospective mixed methods study
topic Traumatic brain injury
OSU TBI-ID
TBI screening
Behavioral health treatment
Mixed methods
Theory of planned behavior
url https://doi.org/10.1186/s43058-022-00261-x
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