Evidence map›Paper›PMID 37338929›Full record

ArticleJMIR human factors2024

Barriers to and Facilitators of Key Stakeholders Influencing Successful Digital Implementation of Remote Monitoring Solutions: Mixed Methods Analysis.

Fahad Mujtaba Iqbal, Ravi Aggarwal, Meera Joshi, Dominic King, Guy Martin, Sadia Khan, Mike Wright, Hutan Ashrafian, Ara Darzi

Registry-linked trialAbstract read
In one paragraph

Article in JMIR human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05321004 (Barriers and Facilitators of Key Stakeholders in Implementing Remote Monitoring Technologies), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05321004 completednot on this map

Barriers and Facilitators of Key Stakeholders in Implementing Remote Monitoring Technologies: a Mixed-methods Analysis

TypeobservationalSponsorImperial College LondonRan2022 to 2023Enrolled18ConditionsCOVID-19ArmsSemi-structured interviews will be conducted - there will be no intervention.
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Digital Health Innovation by Design: A Logic Model Scaffold for Rural, Regional, and Remote Settings.International journal of environmental research and public health · 2025
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Fahad Mujtaba IqbalDivision of Surgery, Imperial College London, London, United Kingdom.ORCID 0000-0003-0834-1275
Ravi AggarwalDivision of Surgery, Imperial College London, London, United Kingdom.ORCID 0000-0003-1092-797X
Meera JoshiDivision of Surgery, Imperial College London, London, United Kingdom.ORCID 0000-0003-4417-1437
Dominic KingDivision of Surgery, Imperial College London, London, United Kingdom.ORCID 0000-0002-1898-842X
Guy MartinDivision of Surgery, Imperial College London, London, United Kingdom.ORCID 0000-0002-5759-962X
Sadia KhanWest Middlesex University Hospital, London, United Kingdom.ORCID 0000-0003-0154-1776
Mike WrightInnovation Business Partner, Chelsea and Westminster NHS Trust, London, United Kingdom.ORCID 0000-0001-8317-0985
Hutan AshrafianDivision of Surgery, Imperial College London, London, United Kingdom.ORCID 0000-0003-1668-0672
Ara DarziDivision of Surgery, Imperial College London, London, United Kingdom.ORCID 0000-0001-7815-7989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImplementation 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.

objectiveWe 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.

methodsA 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.

resultsA 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).

conclusionsThe 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 registrationClinicalTrials.gov NCT05321004; https://www.clinicaltrials.gov/study/NCT05321004.

Indexed as

COVID-19AdultFemaleHumansMaleMonitoring, PhysiologicRemote Sensing TechnologySARS-CoV-2Stakeholder ParticipationSurveys and QuestionnairesTelemedicineCOVID-19digital healthdigital servicesdigital toolshealth care deliveryhealth care industryhealth plan implementationimplementation sciencemobile healthpandemicremote monitoringstakeholdertechnologytelehealthtelemedicineUKUnited Kingdomvirtual wardvirtual wardswearablewearables

Identifiers

PMID37338929
PMCPMC11106697

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.