Evaluating Community-Facing Virtual Modalities to Support Complex Neurological Populations During the COVID-19 Pandemic: Protocol for a Mixed Methods Study

Katelyn Brehon; Jay Carriere; Katie Churchill; Adalberto Loyola-Sanchez; Petra O'Connell; Elisavet Papathanassoglou; Rob MacIsaac; Mahdi Tavakoli; Chester Ho; Kiran Pohar Manhas

doi:10.2196/28267

Evaluating Community-Facing Virtual Modalities to Support Complex Neurological Populations During the COVID-19 Pandemic: Protocol for a Mixed Methods Study

JMIR Res Protoc. 2021 Jul 23;10(7):e28267. doi: 10.2196/28267.

Authors

Affiliations

¹ School of Public Health, University of Alberta, Edmonton, AB, Canada.
² Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada.
³ Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB, Canada.
⁴ Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Alberta, Edmonton, AB, Canada.
⁵ Obesity Diabetes Nutrition Strategic Clinical Network, Alberta Health Services, Calgary, AB, Canada.
⁶ Neurosciences, Rehabilitation & Vision Strategic Clinical Network, Alberta Health Services, Calgary, AB, Canada.
⁷ Spinal Cord Injury Alberta, Edmonton, AB, Canada.

PMID: 34101610
PMCID: PMC8315160
DOI: 10.2196/28267

Abstract

Background: The COVID-19 pandemic and concomitant governmental responses have created the need for innovative and collaborative approaches to deliver services, especially for populations that have been inequitably affected. In Alberta, Canada, two novel approaches were created in Spring 2020 to remotely support patients with complex neurological conditions and rehabilitation needs. The first approach is a telehealth service that provides wayfinding and self-management advice to Albertans with physical concerns related to existing neurological or musculoskeletal conditions or post-COVID-19 recovery needs. The second approach is a webinar series aimed at supporting self-management and social connectedness of individuals living with spinal cord injury.

Objective: The study aims to evaluate the short- and long-term impacts and sustainability of two virtual modalities (telehealth initiative called Rehabilitation Advice Line [RAL] and webinar series called Alberta Spinal Cord Injury Community Interactive Learning Seminars [AB-SCILS]) aimed at advancing self-management, connectedness, and rehabilitation needs during the COVID-19 pandemic and beyond.

Methods: We will use a mixed-methods evaluation approach. Evaluation of the approaches will include one-on-one semistructured interviews and surveys. The evaluation of the telehealth initiative will include secondary data analyses and analysis of call data using artificial intelligence. The evaluation of the webinar series will include analysis of poll questions collected during the webinars and YouTube analytics data.

Results: The proposed study describes unique pandemic virtual modalities and our approaches to evaluating them to ensure effectiveness and sustainability. Implementing and evaluating these virtual modalities synchronously allows for the building of knowledge on the complementarity of these methods. At the time of submission, we have completed qualitative and quantitative data collection for the telehealth evaluation. For the webinar series, so far, we have distributed the evaluation survey following three webinars and have conducted five attendee interviews.

Conclusions: Understanding the impact and sustainability of the proposed telehealth modalities is important. The results of the evaluation will provide data that can be actioned and serve to improve other telehealth modalities in the future, since health systems need this information to make decisions on resource allocation, especially in an uncertain pandemic climate. Evaluating the RAL and AB-SCILS to ensure their effectiveness demonstrates that Alberta Health Services and the health system care about ensuring the best practice even after a shift to primarily virtual care.

International registered report identifier (irrid): DERR1-10.2196/28267.

Keywords: COVID-19; advice line; artificial intelligence; community engagement; evaluation; machine learning; musculoskeletal; neurological; rehabilitation; spinal cord injury; telehealth; webinar.

©Katelyn Brehon, Jay Carriere, Katie Churchill, Adalberto Loyola-Sanchez, Petra O'Connell, Elisavet Papathanassoglou, Rob MacIsaac, Mahdi Tavakoli, Chester Ho, Kiran Pohar Manhas. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 23.07.2021.