Key Stakeholder Barriers and Facilitators to Implementing Remote Monitoring Technologies: Protocol for a Mixed Methods Analysis
File(s)Iqbal_Key stakeholder barriers_JMIR.pdf (83.32 KB)
Published version
Author(s)
Type
Journal Article
Abstract
Background: The implementation of novel digital solutions within the National Health Service has historically been challenging. Since the start of the COVID-19 pandemic, there has been a greater push for digitization and for operating remote monitoring solutions. However, the implementation and widespread adoption of this type of innovation have been poorly studied.
Objective: We aim to investigate key stakeholder barriers and facilitators to implementing remote monitoring solutions to identify factors that could affect successful adoption.
Methods: A mixed methods approach will be implemented. Semistructured interviews will be conducted with high-level stakeholders from industry and academia and health care providers who have played an instrumental role in, and have prior experience with, implementing digital solutions, alongside the use of an adapted version of the Technology Acceptance Model questionnaire.
Results: Enrollment is currently underway, having started in February 2022. It is anticipated to end in July 2022, with data analysis scheduled to commence in August 2022.
Conclusions: The results of our study may highlight key barriers and facilitators to implementing digital remote monitoring solutions, thereby allowing for improved widespread adoption within the National Health Service in the future.
Trial Registration: ClinicalTrials.gov NCT05321004; https://clinicaltrials.gov/ct2/show/NCT05321004
Objective: We aim to investigate key stakeholder barriers and facilitators to implementing remote monitoring solutions to identify factors that could affect successful adoption.
Methods: A mixed methods approach will be implemented. Semistructured interviews will be conducted with high-level stakeholders from industry and academia and health care providers who have played an instrumental role in, and have prior experience with, implementing digital solutions, alongside the use of an adapted version of the Technology Acceptance Model questionnaire.
Results: Enrollment is currently underway, having started in February 2022. It is anticipated to end in July 2022, with data analysis scheduled to commence in August 2022.
Conclusions: The results of our study may highlight key barriers and facilitators to implementing digital remote monitoring solutions, thereby allowing for improved widespread adoption within the National Health Service in the future.
Trial Registration: ClinicalTrials.gov NCT05321004; https://clinicaltrials.gov/ct2/show/NCT05321004
Date Issued
2022-07-21
Date Acceptance
2022-06-24
Citation
JMIR Research Protocols, 2022, 11 (7)
ISSN
1929-0748
Publisher
JMIR Publications
Journal / Book Title
JMIR Research Protocols
Volume
11
Issue
7
Copyright Statement
©Fahad Mujtaba Iqbal, Meera Joshi, Sadia Khan, Mike Wright, Hutan Ashrafian, Ara Darzi. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 21.07.2022.
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.
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.
License URL
Publication Status
Published
Article Number
ARTN e38437