Evidence map›Paper›PMID 35862185›Full record

ArticleJMIR research protocols2022

Key Stakeholder Barriers and Facilitators to Implementing Remote Monitoring Technologies: Protocol for a Mixed Methods Analysis.

Fahad Mujtaba Iqbal, Meera Joshi, Sadia Khan, Mike Wright, Hutan Ashrafian, Ara Darzi

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2022. 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, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

6 authors.

Fahad Mujtaba IqbalDivision of Surgery, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-0834-1275
Meera JoshiDivision of Surgery, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-4417-1437
Sadia KhanWest Middlesex University Hospital, London, United Kingdom.ORCID https://orcid.org/0000-0003-0154-1776
Mike WrightChelsea and Westminster National Health Service Foundation Trust, London, United Kingdom.ORCID https://orcid.org/0000-0001-8317-0985
Hutan AshrafianDivision of Surgery, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-1668-0672
Ara DarziDivision of Surgery, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-7815-7989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

objectiveWe aim to investigate key stakeholder barriers and facilitators to implementing remote monitoring solutions to identify factors that could affect successful adoption.

methodsA 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.

resultsEnrollment 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.

conclusionsThe 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 registrationClinicalTrials.gov NCT05321004; https://clinicaltrials.gov/ct2/show/NCT05321004.

Indexed as

barriersdigital solutionsdigitizationhealth care industryhealth plan implementationimplementationimplementation sciencemobile healthremote monitoringstakeholder

Identifiers

PMID35862185
PMCPMC9353674

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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.