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Identification of Clinical Measures to Use in a Virtual Concussion Assessment: Protocol for a Mixed Methods Study

BACKGROUND: Workplace concussions can have a significant impact on workers. The impact of concussion symptoms, combined with challenges associated with clinical environments that are loud, bright, and busy, create barriers to conducting effective in-person assessments. Although the opportunity for r...

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Autores principales: Barnes, Keely, Sveistrup, Heidi, Bayley, Mark, Egan, Mary, Rathbone, Michel, Taljaard, Monica, Marshall, Shawn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816949/
https://www.ncbi.nlm.nih.gov/pubmed/36548031
http://dx.doi.org/10.2196/40446
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author Barnes, Keely
Sveistrup, Heidi
Bayley, Mark
Egan, Mary
Rathbone, Michel
Taljaard, Monica
Marshall, Shawn
author_facet Barnes, Keely
Sveistrup, Heidi
Bayley, Mark
Egan, Mary
Rathbone, Michel
Taljaard, Monica
Marshall, Shawn
author_sort Barnes, Keely
collection PubMed
description BACKGROUND: Workplace concussions can have a significant impact on workers. The impact of concussion symptoms, combined with challenges associated with clinical environments that are loud, bright, and busy, create barriers to conducting effective in-person assessments. Although the opportunity for remote care in rural communities has long been recognized, the COVID-19 pandemic has catalyzed the transition to virtual assessments and care into the mainstream. With this rapid shift, many clinicians have been completing remote assessments. However, the approaches and measures used in these assessments have not yet been standardized. Furthermore, the psychometric properties of the assessments when completed remotely using videoconference have not yet been documented. OBJECTIVE: Through this mixed methods study, we aim to (1) identify the concussion assessment measures clinicians are currently using in person and are most relevant to the following 5 physical domains: neurological examination (ie, cranial nerve, coordination, motor, and sensory skills), cervical spine, vestibular, oculomotor, and effort assessment; (2) document the psychometric properties of the measures identified; (3) identify measures that appear feasible in a virtual context; and (4) identify practical and technical barriers or challenges, facilitators, and benefits to conducting or engaging in virtual concussion assessments. METHODS: This study will follow a sequential mixed methods design using a survey and Delphi approach, working groups with expert clinicians, and focus groups with experienced clinicians and people living with concussions. Our target sample sizes are 50 clinicians for the Delphi surveys, 4 clinician-participants for the working group, and 5-7 participants for each focus group (roughly 6-10 total groups being planned with at least two groups consisting of people living with concussions). The results from this study will inform the decision regarding the measures that should be included in a virtual assessment tool kit to be tested in a future planned prospective evaluation study. RESULTS: The study is expected to be completed by January 2023. CONCLUSIONS: This mixed methods study will document the clinical measures that are currently used in person and will identify those that are most relevant to assessing the physical domains impacted by concussions. Potential feasibility of using these measures in a virtual context will be explored. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/40446
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spelling pubmed-98169492023-01-07 Identification of Clinical Measures to Use in a Virtual Concussion Assessment: Protocol for a Mixed Methods Study Barnes, Keely Sveistrup, Heidi Bayley, Mark Egan, Mary Rathbone, Michel Taljaard, Monica Marshall, Shawn JMIR Res Protoc Protocol BACKGROUND: Workplace concussions can have a significant impact on workers. The impact of concussion symptoms, combined with challenges associated with clinical environments that are loud, bright, and busy, create barriers to conducting effective in-person assessments. Although the opportunity for remote care in rural communities has long been recognized, the COVID-19 pandemic has catalyzed the transition to virtual assessments and care into the mainstream. With this rapid shift, many clinicians have been completing remote assessments. However, the approaches and measures used in these assessments have not yet been standardized. Furthermore, the psychometric properties of the assessments when completed remotely using videoconference have not yet been documented. OBJECTIVE: Through this mixed methods study, we aim to (1) identify the concussion assessment measures clinicians are currently using in person and are most relevant to the following 5 physical domains: neurological examination (ie, cranial nerve, coordination, motor, and sensory skills), cervical spine, vestibular, oculomotor, and effort assessment; (2) document the psychometric properties of the measures identified; (3) identify measures that appear feasible in a virtual context; and (4) identify practical and technical barriers or challenges, facilitators, and benefits to conducting or engaging in virtual concussion assessments. METHODS: This study will follow a sequential mixed methods design using a survey and Delphi approach, working groups with expert clinicians, and focus groups with experienced clinicians and people living with concussions. Our target sample sizes are 50 clinicians for the Delphi surveys, 4 clinician-participants for the working group, and 5-7 participants for each focus group (roughly 6-10 total groups being planned with at least two groups consisting of people living with concussions). The results from this study will inform the decision regarding the measures that should be included in a virtual assessment tool kit to be tested in a future planned prospective evaluation study. RESULTS: The study is expected to be completed by January 2023. CONCLUSIONS: This mixed methods study will document the clinical measures that are currently used in person and will identify those that are most relevant to assessing the physical domains impacted by concussions. Potential feasibility of using these measures in a virtual context will be explored. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/40446 JMIR Publications 2022-12-22 /pmc/articles/PMC9816949/ /pubmed/36548031 http://dx.doi.org/10.2196/40446 Text en ©Keely Barnes, Heidi Sveistrup, Mark Bayley, Mary Egan, Michel Rathbone, Monica Taljaard, Shawn Marshall. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 22.12.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on https://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Barnes, Keely
Sveistrup, Heidi
Bayley, Mark
Egan, Mary
Rathbone, Michel
Taljaard, Monica
Marshall, Shawn
Identification of Clinical Measures to Use in a Virtual Concussion Assessment: Protocol for a Mixed Methods Study
title Identification of Clinical Measures to Use in a Virtual Concussion Assessment: Protocol for a Mixed Methods Study
title_full Identification of Clinical Measures to Use in a Virtual Concussion Assessment: Protocol for a Mixed Methods Study
title_fullStr Identification of Clinical Measures to Use in a Virtual Concussion Assessment: Protocol for a Mixed Methods Study
title_full_unstemmed Identification of Clinical Measures to Use in a Virtual Concussion Assessment: Protocol for a Mixed Methods Study
title_short Identification of Clinical Measures to Use in a Virtual Concussion Assessment: Protocol for a Mixed Methods Study
title_sort identification of clinical measures to use in a virtual concussion assessment: protocol for a mixed methods study
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816949/
https://www.ncbi.nlm.nih.gov/pubmed/36548031
http://dx.doi.org/10.2196/40446
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