Barriers and Facilitators of Key Stakeholders to Implement Remote Monitoring Technologies: a Mixed-methods Analysis

NCT05321004 | Completed

• 1 other identifier: 20IC6331
• Study Type: observational
• Target: 18
• Locations: 1 country
• Sites: 1

Brief Summary

Advancements in digital technologies alongside the global pandemic of COVID-19 have accelerated the adoption of novel healthcare pathways worldwide, with healthcare delivery transitioning beyond the traditional face-to-face model. Telemedicine has gained long over- due exposure during a complicated crisis; as the number of cases continue to grow with second waves predicted, digital modalities have become critical in moderating exposure risk to healthcare staff, reducing community spread, and delivering quality healthcare remotely for exposed or infected individuals. Remote monitoring solutions are being established internationally to allow individuals to continue living at home rather than in expensive hospital facilities using non-invasive digital technologies (such as wearable sensors) to collect health data, support health provider assessment and clinical decision making. With the advances in technology miniaturisation, sensors have become increasingly portable, unobtrusive, lightweight, and waterproof, offering an emerging solution to continuous remote monitoring of vital signs. It is predicated that continuous monitoring allows for early recognition of clinical deterioration, and through digital alerting, offers an opportunity for earlier clinical intervention, improving patient care and patient outcomes. Within the United Kingdom (UK), widespread digital transformations are facilitated by NHS digital, a non-departmental public body created by statute, delivering large health informatics programmes. As such, this study aims to investigate key stakeholder perspectives on an organisational level of implementing remote monitoring solutions, given the pandemic, in the National Health Service (NHS), identifying factors that could affect successful execution and adoption.

Conditions

COVID-19

Keywords

implementation science

Outcome Measures

Primary Outcomes (2)

• Validated TAM (technology acceptance model) questionnaire

  Liberty scale questionnaire responses

  1 year

• Thematic analysis

  Semi structured interviews using a predetermined topic guide on questions relating to barriers and facilitators

  1 year

Interventions

Semi-structured interviews will be conducted - there will be no intervention. OTHER

The use of semi structured interviews and questionnaires

Eligibility Criteria

• Sex: all
• Age Groups: Child (0-17), Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Previous experience in implementing remote monitoring solutions

You may qualify if:

• A mixed methods approach will be implemented: semi-structured interviews will be conducted with high level stake holders from industry, academia, and healthcare providers who have played an instrumental role with prior experience of implementing digital solutions.

You may not qualify if:

• not able to provide informed consent

Sponsors & Collaborators

• Imperial College London: lead

Study Sites (1)

Imperial College London

London, United Kingdom

Location

Related Publications (2)

• Iqbal FM, Aggarwal R, Joshi M, King D, Martin G, Khan S, Wright M, Ashrafian H, Darzi A. Barriers to and Facilitators of Key Stakeholders Influencing Successful Digital Implementation of Remote Monitoring Solutions: Mixed Methods Analysis. JMIR Hum Factors. 2024 May 6;11:e49769. doi: 10.2196/49769.

  PMID: 37338929 DERIVED

• Iqbal FM, Joshi M, Khan S, Wright M, Ashrafian H, Darzi A. Key Stakeholder Barriers and Facilitators to Implementing Remote Monitoring Technologies: Protocol for a Mixed Methods Analysis. JMIR Res Protoc. 2022 Jul 21;11(7):e38437. doi: 10.2196/38437.

  PMID: 35862185 DERIVED

MeSH Terms

Conditions

COVID-19

Condition Hierarchy (Ancestors)

Pneumonia, Viral; Pneumonia; Respiratory Tract Infections; Infections; Virus Diseases; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; RNA Virus Infections; Lung Diseases; Respiratory Tract Diseases

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: March 29, 2022
• First Posted: April 11, 2022
• Study Start: March 1, 2022
• Primary Completion: August 1, 2023
• Study Completion: August 1, 2023
• Last Updated: April 10, 2024

Record last verified: 2024-04

Locations

GB (1)