Evidence map›Paper›PMID 30409819›Full record

ReviewThe European respiratory journal2018

Digital technologies and adherence in respiratory diseases: the road ahead.

John D Blakey, Bruce G Bender, Alexandra L Dima, John Weinman, Guilherme Safioti, Richard W Costello

2 registry-linked trialsAbstract readReview
In one paragraph

Review in The European respiratory journal, 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 65 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 4 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.

NCT05357274 unknown statusnot on this mapstarted 2022, after this paper: background citation

A System to Classify Treatable Traits in Primary Care

TypeobservationalSponsorRoyal College of Surgeons, IrelandRan2022 to 2024Enrolled200ConditionsRespiratory Disease, Asthma, CopdArmsDiagnostic testing
NCT06364527 nacompletednot on this mapstarted 2024, after this paper: background citation

Use of Aptar Digital Health's Respiratory Disease Management Platform for Asthma: A Pilot Study

TypeinterventionalSponsorCoheroHealthRan2024 to 2026Enrolled94ConditionsAsthma ChronicArmsAptar Digital Health respiratory disease management platform
3 · Its place in the literature

Who cites it

65 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  18. Does inhaler adherence really matter in severe asthma?Breathe (Sheffield, England) · 2024
    Review
  19. Digital health delivery in respiratory medicine: adjunct, replacement or cause for division?European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  20. Article

5 more citing papers are in PubMed but not listed here.

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.

John D BlakeyRespiratory Medicine, Royal Liverpool Hospital and Health Services Research, University of Liverpool, Liverpool, UK.
Bruce G BenderDept of Pediatrics, National Jewish Health, Denver, CO, USA.
Alexandra L DimaHealth Services and Performance Research, Université Claude Bernard Lyon 1, Lyon, France.
John WeinmanInstitute of Pharmaceutical Science and Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Guilherme SafiotiTeva Pharmaceutical Industries Ltd, Amsterdam, The Netherlands.
Richard W CostelloRCSI Education and Research Centre, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outcomes for patients with chronic respiratory diseases remain poor despite the development of novel therapies. In part, this reflects the fact that adherence to therapy is low and clinicians lack accurate methods to assess this issue. Digital technologies hold promise to overcome these barriers to care. For example, algorithmic analysis of large amounts of information collected on health status and treatment use, along with other disease relevant information such as environmental data, can be used to help guide personalised interventions that may have a positive health impact, such as establishing habitual and correct inhaler use. Novel approaches to data analysis also offer the possibility of statistical algorithms that are better able to predict exacerbations, thereby creating opportunities for preventive interventions that may adapt therapy as disease activity changes. To realise these possibilities, digital approaches to disease management should be supported by strong evidence, have a solid infrastructure, be designed collaboratively as clinically effective and cost-effective systems, and reflect the needs of patients and healthcare providers. Regulatory standards for digital interventions and strategies to handle the large amounts of data generated are also needed. This review highlights the opportunities provided by digital technologies for managing patients with respiratory diseases.

Indexed as

Medication AdherenceSelf CareTelemedicineTelemetryAsthmaChronic DiseaseHumansPulmonary Disease, Chronic ObstructiveRespiratory Tract Diseases

Identifiers

PMID30409819
PMCPMC6364097

What OpenQuestion holds

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LicenceCC BY-NC
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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.