Accepted for/Published in: JMIR Human Factors
Date Submitted: Jul 8, 2024
Date Accepted: Mar 3, 2025
Best Practice Guide for Reducing Barriers to Video Call Based Telehealth: A Modified Delphi Study Among Healthcare Professionals
ABSTRACT
Background:
Telehealth has grown, especially during the COVID-19 pandemic, improving access for those in remote or underserved areas. However, its implementation faces technological, practical, and interpersonal barriers.
Objective:
The aim of this study was to identify and consolidate best practices for telehealth delivery, specifically for video call sessions, by synthesizing the insights of healthcare professionals across various disciplines.
Methods:
The research began with qualitative interviews to establish a foundation. A modified Delphi method was used, involving nine healthcare professionals (physiotherapists, speech and language therapists, dieticians, midwife) with telehealth experience in iterative rounds of online surveys to form consensus.
Results:
This study addressed 15 telehealth barriers and identified 105 best practices. Among these, 20 are technology related and 85 concern healthcare practices. Emphasis was placed on setting up telehealth environments, ensuring safety, building relationship and trust, using non-manual methods, and enhancing observation and assessment skills. Best practice recommendations for dealing with patients or caregiver skepticism or lack of telehealth specific knowledge were developed. Further, approaches for unstable networks and privacy and IT security issues were identified. Areas with fewer best practices were the lack of technology skills or technology access, unreliability of hard- and software, increased workload, and a lack of caregiver support.
Conclusions:
This guide of best practices serves as an actionable resource for healthcare providers to navigate the complexities of telehealth. Despite a small participant sample and the potential for profession-specific biases, the findings provide a foundation for improving telehealth services and inform future research for its application and education.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.