Barriers to and facilitators of key stakeholders influencing successful digital implementation of remote monitoring solutions: mixed methods analysis
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
Background:
Implementation of remote monitoring solutions and digital alerting tools in health care has historically been challenging, despite the impetus provided by the COVID-19 pandemic. To date, a health systems–based approach to systematically describe barriers and facilitators across multiple domains has not been undertaken.
Objective:
We aimed to undertake a comprehensive mixed methods analysis of barriers and facilitators for successful implementation of remote monitoring and digital alerting tools in complex health organizations.
Methods:
A mixed methods approach using a modified Technology Acceptance Model questionnaire and semistructured interviews mapped to the validated fit among humans, organizations, and technology (HOT-fit) framework was undertaken. Likert frequency responses and deductive thematic analyses were performed.
Results:
A total of 11 participants responded to the questionnaire and 18 participants to the interviews. Key barriers and facilitators could be mapped onto 6 dimensions, which incorporated aspects of digitization: system use (human), user satisfaction (human), environment (organization), structure (organization), information and service quality (technology), and system quality (technology).
Conclusions:
The recommendations proposed can enhance the potential for future remote sensing solutions to be more successfully integrated in health care practice, resulting in more successful use of “virtual wards.”
Trial Registration:
ClinicalTrials.gov NCT05321004; https://www.clinicaltrials.gov/study/NCT05321004
Implementation of remote monitoring solutions and digital alerting tools in health care has historically been challenging, despite the impetus provided by the COVID-19 pandemic. To date, a health systems–based approach to systematically describe barriers and facilitators across multiple domains has not been undertaken.
Objective:
We aimed to undertake a comprehensive mixed methods analysis of barriers and facilitators for successful implementation of remote monitoring and digital alerting tools in complex health organizations.
Methods:
A mixed methods approach using a modified Technology Acceptance Model questionnaire and semistructured interviews mapped to the validated fit among humans, organizations, and technology (HOT-fit) framework was undertaken. Likert frequency responses and deductive thematic analyses were performed.
Results:
A total of 11 participants responded to the questionnaire and 18 participants to the interviews. Key barriers and facilitators could be mapped onto 6 dimensions, which incorporated aspects of digitization: system use (human), user satisfaction (human), environment (organization), structure (organization), information and service quality (technology), and system quality (technology).
Conclusions:
The recommendations proposed can enhance the potential for future remote sensing solutions to be more successfully integrated in health care practice, resulting in more successful use of “virtual wards.”
Trial Registration:
ClinicalTrials.gov NCT05321004; https://www.clinicaltrials.gov/study/NCT05321004
Date Issued
2024-05-06
Date Acceptance
2024-04-07
Citation
JMIR Human Factors, 2024, 11
ISSN
2292-9495
Publisher
JMIR Publications
Journal / Book Title
JMIR Human Factors
Volume
11
Copyright Statement
©Fahad Mujtaba Iqbal, Ravi Aggarwal, Meera Joshi, Dominic King, Guy Martin, Sadia Khan, Mike Wright, Hutan Ashrafian, Ara Darzi. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 06.05.2024. 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 Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on https://humanfactors.jmir.org, as well as this copyright and license information must be included.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/37338929
PII: v11i1e49769
Subjects
ADOPTION
CARE
COVID-19
DECISION-SUPPORT-SYSTEMS
digital health
digital services
digital tools
health care delivery
health care industry
Health Care Sciences & Services
health plan implementation
implementation science
Life Sciences & Biomedicine
Medical Informatics
mobile health
MODEL
monitoring
pandemic
PROFESSIONALS
remote
Science & Technology
stakeholder
technology
TECHNOLOGY ACCEPTANCE
telehealth
telemedicine
UK
United Kingdom
virtual ward
virtual wards
wearable
wearables
Publication Status
Published
Coverage Spatial
Canada
Article Number
e49769
Date Publish Online
2024-05-06