Evaluating Efficiency of a Provincial Telerehabilitation Service in Improving Access to Care During the COVID-19 Pandemic

Scope: Early in the COVID-19 pandemic, community rehabilitation stakeholders from a provincial health system designed a novel telerehabilitation service. The service provided wayfinding and self-management advice to individuals with musculoskeletal concerns, neurological conditions, or post-COVID-1...

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Main Authors: Katelyn Brehon, Jay Carriere, Katie Churchill, Adalberto Loyola-Sanchez, Elizabeth Papathanassoglou, Rob MacIsaac, Mahdi Tavakoli, Chester Ho, Kiran Pohar Manhas
Format: Article
Language:English
Published: University Library System, University of Pittsburgh 2023-05-01
Series:International Journal of Telerehabilitation
Subjects:
Online Access:http://telerehab.pitt.edu/ojs/Telerehab/article/view/6523
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author Katelyn Brehon
Jay Carriere
Katie Churchill
Adalberto Loyola-Sanchez
Elizabeth Papathanassoglou
Rob MacIsaac
Mahdi Tavakoli
Chester Ho
Kiran Pohar Manhas
author_facet Katelyn Brehon
Jay Carriere
Katie Churchill
Adalberto Loyola-Sanchez
Elizabeth Papathanassoglou
Rob MacIsaac
Mahdi Tavakoli
Chester Ho
Kiran Pohar Manhas
author_sort Katelyn Brehon
collection DOAJ
description Scope: Early in the COVID-19 pandemic, community rehabilitation stakeholders from a provincial health system designed a novel telerehabilitation service. The service provided wayfinding and self-management advice to individuals with musculoskeletal concerns, neurological conditions, or post-COVID-19 recovery needs. This study evaluated the efficiency of the service in improving access to care. Methodology: We used multiple methods including secondary data analyses of call metrics, narrative analyses of clinical notes using artificial intelligence (AI) and machine learning (ML), and qualitative interviews.                                                                        Conclusions: Interviews revealed that the telerehabilitation service had the potential to positively impact access to rehabilitation during the COVID-19 pandemic, for individuals living rurally, and for individuals on wait lists. Call metric analyses revealed that efficiency may be enhanced if call handling time was reduced. AI/ML analyses found that pain was the most frequently-mentioned keyword in clinical notes, suggesting an area for additional telerehabilitation resources to ensure efficiency.
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spelling doaj.art-93a117d87b70425ab051317373c7840b2023-05-11T18:38:18ZengUniversity Library System, University of PittsburghInternational Journal of Telerehabilitation1945-20202023-05-0115110.5195/ijt.2023.6523Evaluating Efficiency of a Provincial Telerehabilitation Service in Improving Access to Care During the COVID-19 PandemicKatelyn Brehon0Jay Carriere1Katie Churchill2Adalberto Loyola-Sanchez3Elizabeth Papathanassoglou4Rob MacIsaac5Mahdi Tavakoli6Chester Ho7Kiran Pohar Manhas8Department of Physical Therapy, University of Alberta, Edmonton, Alberta, CanadaDepartment of Electrical and Software Engineering, University of Calgary, Calgary, Alberta, Canada Allied Health Professional Practice and Education, Alberta Health Services, Alberta, Canada; Department of Occupational Therapy, University of Alberta, Edmonton, Alberta, CanadaDepartment of Medicine, University of Alberta, Edmonton, Alberta, CanadaNeurosciences, Rehabilitation, and Vision Strategic Clinical Network (TM), Alberta Health Services, Alberta, Canada; Faculty of Nursing, University of Alberta, Edmonton, Alberta, CanadaSpinal Cord Injury Alberta, Edmonton, Alberta, CanadaDepartment of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, CanadaDepartment of Medicine, University of Alberta, Edmonton, Alberta, Canada; Neurosciences, Rehabilitation, and Vision Strategic Clinical Network (TM), Alberta Health Services, Alberta, CanadaNeurosciences, Rehabilitation, and Vision Strategic Clinical Network (TM), Alberta Health Services, Alberta, Canada; Faculty of Nursing, University of Alberta, Edmonton, Alberta, Canada Scope: Early in the COVID-19 pandemic, community rehabilitation stakeholders from a provincial health system designed a novel telerehabilitation service. The service provided wayfinding and self-management advice to individuals with musculoskeletal concerns, neurological conditions, or post-COVID-19 recovery needs. This study evaluated the efficiency of the service in improving access to care. Methodology: We used multiple methods including secondary data analyses of call metrics, narrative analyses of clinical notes using artificial intelligence (AI) and machine learning (ML), and qualitative interviews.                                                                        Conclusions: Interviews revealed that the telerehabilitation service had the potential to positively impact access to rehabilitation during the COVID-19 pandemic, for individuals living rurally, and for individuals on wait lists. Call metric analyses revealed that efficiency may be enhanced if call handling time was reduced. AI/ML analyses found that pain was the most frequently-mentioned keyword in clinical notes, suggesting an area for additional telerehabilitation resources to ensure efficiency. http://telerehab.pitt.edu/ojs/Telerehab/article/view/6523artificial intelligencecall utilizationmachine learningqualitative description
spellingShingle Katelyn Brehon
Jay Carriere
Katie Churchill
Adalberto Loyola-Sanchez
Elizabeth Papathanassoglou
Rob MacIsaac
Mahdi Tavakoli
Chester Ho
Kiran Pohar Manhas
Evaluating Efficiency of a Provincial Telerehabilitation Service in Improving Access to Care During the COVID-19 Pandemic
International Journal of Telerehabilitation
artificial intelligence
call utilization
machine learning
qualitative description
title Evaluating Efficiency of a Provincial Telerehabilitation Service in Improving Access to Care During the COVID-19 Pandemic
title_full Evaluating Efficiency of a Provincial Telerehabilitation Service in Improving Access to Care During the COVID-19 Pandemic
title_fullStr Evaluating Efficiency of a Provincial Telerehabilitation Service in Improving Access to Care During the COVID-19 Pandemic
title_full_unstemmed Evaluating Efficiency of a Provincial Telerehabilitation Service in Improving Access to Care During the COVID-19 Pandemic
title_short Evaluating Efficiency of a Provincial Telerehabilitation Service in Improving Access to Care During the COVID-19 Pandemic
title_sort evaluating efficiency of a provincial telerehabilitation service in improving access to care during the covid 19 pandemic
topic artificial intelligence
call utilization
machine learning
qualitative description
url http://telerehab.pitt.edu/ojs/Telerehab/article/view/6523
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