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Barriers to and Facilitators of Key Stakeholders Influencing Successful Digital Implementation of Remote Monitoring Solutions: Mixed Methods Analysis.
- Source :
-
JMIR human factors [JMIR Hum Factors] 2024 May 06; Vol. 11, pp. e49769. Date of Electronic Publication: 2024 May 06. - Publication Year :
- 2024
-
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.<br />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.<br />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.<br />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).<br />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."<br />Trial Registration: ClinicalTrials.gov NCT05321004; https://www.clinicaltrials.gov/study/NCT05321004.<br /> (©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.)
Details
- Language :
- English
- ISSN :
- 2292-9495
- Volume :
- 11
- Database :
- MEDLINE
- Journal :
- JMIR human factors
- Publication Type :
- Academic Journal
- Accession number :
- 37338929
- Full Text :
- https://doi.org/10.2196/49769