Evidence map›Paper›PMID 29531743›Full record

ArticleBMJ open respiratory research2018

Using domiciliary non-invasive ventilator data downloads to inform clinical decision-making to optimise ventilation delivery and patient compliance.

Stephanie K Mansell, Steven Cutts, Isobel Hackney, Martin J Wood, Kevin Hawksworth, Dean D Creer, Cherry Kilbride, Swapna Mandal

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in BMJ open respiratory research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 3% of its field
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.

NCT05008211 nacompletednot on this mapstarted 2021, after this paper: background citation

Effectiveness of an Information-Motivation-Behavioral Skills Model-based Intervention on Adherence to Domiciliary Non-invasive Ventilation of Patients With Chronic Hypercapnic Respiratory Failure: A Randomized Controlled Study

TypeinterventionalSponsorThe University of Hong KongRan2021 to 2025Enrolled124ConditionsHypercapnic Respiratory Failure, Noninvasive VentilationArmsInformation-Motivation-Behavioral skills (IMB) model-based intervention, Control - usual care
NCT05328492 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Volume Targeted Versus Pressure Targeted Non-invasive Ventilation in Amyotrophic Lateral Sclerosis: a Randomised Control Trial.

TypeinterventionalSponsorUniversity Hospitals Coventry and Warwickshire NHS TrustRan2022 to 2024Enrolled40ConditionsAmyotrophic Lateral Sclerosis, Respiratory Failure, Respiratory Insufficiency, Sleep-Disordered BreathingArmsiVAPS-AE, ST-mode
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Monitoring Systems in Home Ventilation.Journal of clinical medicine · 2023
    Review
  7. Article
  8. Telemonitoring in Home Mechanical Ventilation.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2022
    Article
  9. Article
  10. Review
  11. Review
  12. Observational
  13. Telemonitoring for Home-assisted Ventilation: A Narrative Review.Annals of the American Thoracic Society · 2021
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 2 countries.

Stephanie K MansellTherapies Department, Royal Free London NHS Foundation Trust, London, UK.
Steven CuttsTherapies Department, Royal Free London NHS Foundation Trust, London, UK.
Isobel HackneyTherapies Department, Royal Free London NHS Foundation Trust, London, UK.
Martin J WoodRenaissance Research, Darlington, UK.
Kevin HawksworthRenaissance Research, Darlington, UK.
Dean D CreerDepartment of Thoracic Medicine, Royal Free London NHS Foundation Trust, London, UK.
Cherry KilbrideTherapies Department, Royal Free London NHS Foundation Trust, London, UK.
Swapna MandalDepartment of Thoracic Medicine, Royal Free London NHS Foundation Trust, London, UK.
Royal Free London NHS Foundation Trust · GBRenaissance Services (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVentilation parameter data from patients receiving home mechanical ventilation can be collected via secure data cards and modem technology. This can then be reviewed by clinicians and ventilator prescriptions adjusted. Typically available measures include tidal volume (V

methodsA longitudinal within-group design with repeated measurements was used. Baseline ventilator data were downloaded, reviewed and adjustments made to optimise ventilation. Leak, V

resultsAnalysis of data from 52 patients showed increased patient compliance (% days used >4 hours) from 90% to 96% (p=0.007), increased usage from 6.53 to 6.94 hours (p=0.211) and a change in V

conclusionVentilator data downloads, via early remote assessment, can help optimise patient ventilation through identification of modifiable factors, in particular interface leak and ventilator prescriptions. However, a prospective study is required to assess whether using ventilator data downloads provides value in terms of patient outcomes and cost-effectiveness. The presented data will help to inform the design of such a study.

Indexed as

Non-invasive VentilationSoftwareTechnology

Identifiers

PMID29531743
PMCPMC5844385
OpenAlexW2790941072

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.