Your browser doesn't support javascript.
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.
  • Barnes K; School of Rehabilitation Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada.
  • Sveistrup H; Bruyere Research Institute, Ottawa, ON, Canada.
  • Bayley M; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
  • Egan M; School of Rehabilitation Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada.
  • Rathbone M; Bruyere Research Institute, Ottawa, ON, Canada.
  • Taljaard M; Kite Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.
  • Marshall S; Division of Physical Medicine and Rehabilitation, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
JMIR Res Protoc ; 11(12): e40446, 2022 Dec 22.
Article in English | MEDLINE | ID: covidwho-2198127
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Language: English Journal: JMIR Res Protoc Year: 2022 Document Type: Article Affiliation country: 40446

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Language: English Journal: JMIR Res Protoc Year: 2022 Document Type: Article Affiliation country: 40446