Evidence mapPaperPMID 35691614Full record

SynthesisThe Cochrane database of systematic reviews2022

Digital interventions to improve adherence to maintenance medication in asthma.

Amy Chan, Anna De Simoni, Vari Wileman, Lois Holliday, Chris J Newby, Claudia Chisari, Sana Ali, Natalee Zhu, Prathima Padakanti, Vasita Pinprachanan and 2 more

2 registry-linked trialsOpen access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2022. 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 58 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 7 pooled it
9.8field-weighted citation impact, top 1% 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.

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
NCT07452380 recruitingnot on this mapstarted 2025, after this paper: background citation

A Multicenter Registry Study Examining the Efficacy of Specific Immunotherapy Guided by Component-Resolved Diagnosis for Dust Mite Allergens in Chinese Pediatric Patients With Rhinitis and/or Asthma(EXPLORER STUDY)

Typeobservational_patient_registrySponsorThe Children's Hospital of Zhejiang University School of MedicineRan2025 to 2028Enrolled1,000ConditionsAllergic Rhinitis Due to House Dust Mite
3 · Its place in the literature

Who cites it

58 citing papers in PubMed, 7 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Home-based educational interventions for children with asthma.The Cochrane database of systematic reviews · 2025
    Pooled it
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  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. Rethinking asthma therapy, part 2: transdermal strategies for adjunct asthma and allergy treatments.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
    Review
  13. Rethinking asthma therapy, part 1: transdermal delivery of βJournal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2026
    Review
  14. Review
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  20. Asthma: Biomedical and Psychobiological Perspectives.Biopsychosocial science and medicine · 2025
    Review
4 · The record

Corrections and comments

  • Commented on by
    2022
5 · Who and what money

Authors and funding

12 authors at 5 institutions in 2 countries.

Amy ChanCentre for Behavioural Medicine, Department of Practice and Policy, UCL School of Pharmacy, University College London, London, UK.
Anna De SimoniWolfson Institute of Population Health, Centre for Primary Care Asthma UK Centre for Applied Research, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Vari WilemanCentre for Behavioural Medicine, Department of Practice and Policy, UCL School of Pharmacy, University College London, London, UK.
Lois HollidayWolfson Institute of Population Health, Centre for Primary Care Asthma UK Centre for Applied Research, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Chris J NewbyResearch Design Service, University of Nottingham, Queen's Medical Centre, Nottingham, UK.
Claudia ChisariCentre for Behavioural Medicine, Department of Practice and Policy, UCL School of Pharmacy, University College London, London, UK.
Sana AliSchool of Pharmacy, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand.
Natalee ZhuSchool of Pharmacy, The University of Auckland, Auckland, New Zealand.
Prathima PadakantiSchool of Pharmacy, The University of Auckland, Auckland, New Zealand.
Vasita PinprachananSchool of Pharmacy, The University of Auckland, Auckland, New Zealand.
Victoria TingSchool of Pharmacy, The University of Auckland, Auckland, New Zealand.
Chris J GriffithsAsthma UK Centre for Applied Research, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
University of Auckland · NZAsthma UK · GBQueen Mary University of London · GBUniversity College London · GBQueen's Medical Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma is the most common chronic lung condition worldwide, affecting 334 million adults and children globally. Despite the availability of effective treatment, such as inhaled corticosteroids (ICS), adherence to maintenance medication remains suboptimal. Poor ICS adherence leads to increased asthma symptoms, exacerbations, hospitalisations, and healthcare utilisation. Importantly, suboptimal use of asthma medication is a key contributor to asthma deaths. The impact of digital interventions on adherence and asthma outcomes is unknown.

objectivesTo determine the effectiveness of digital interventions for improving adherence to maintenance treatments in asthma. SEARCH

methodsWe identified trials from the Cochrane Airways Trials Register, which contains studies identified through multiple electronic searches and handsearches of other sources. We also searched trial registries and reference lists of primary studies. We conducted the most recent searches on 1 June 2020, with no restrictions on language of publication. A further search was run in October 2021, but studies were not fully incorporated. SELECTION CRITERIA: We included randomised controlled trials (RCTs) including cluster- and quasi-randomised trials of any duration in any setting, comparing a digital adherence intervention with a non-digital adherence intervention or usual care. We included adults and children with a clinical diagnosis of asthma, receiving maintenance treatment. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures for data collection. We used GRADE to assess quantitative outcomes where data were available. MAIN

resultsWe included 40 parallel randomised controlled trials (RCTs) involving adults and children with asthma (n = 15,207), of which eight are ongoing studies. Of the included studies, 30 contributed data to at least one meta-analysis. The total number of participants ranged from 18 to 8517 (median 339). Intervention length ranged from two to 104 weeks. Most studies (n = 29) reported adherence to maintenance medication as their primary outcome; other outcomes such as asthma control and quality of life were also commonly reported. Studies had low or unclear risk of selection bias but high risk of performance and detection biases due to inability to blind the participants, personnel, or outcome assessors. A quarter of the studies had high risk of attrition bias and selective outcome reporting. We examined the effect of digital interventions using meta-analysis for the following outcomes: adherence (16 studies); asthma control (16 studies); asthma exacerbations (six studies); unscheduled healthcare utilisation (four studies); lung function (seven studies); and quality of life (10 studies). Pooled results showed that patients receiving digital interventions may have increased adherence (mean difference of 14.66 percentage points, 95% confidence interval (CI) 7.74 to 21.57; low-certainty evidence); this is likely to be clinically significant in those with poor baseline medication adherence. Subgroup analysis by type of intervention was significant (P = 0.001), with better adherence shown with electronic monitoring devices (EMDs) (23 percentage points over control, 95% CI 10.84 to 34.16; seven studies), and with short message services (SMS) (12 percentage points over control, 95% CI 6.22 to 18.03; four studies). No significant subgroup differences were seen for interventions having an in-person component versus fully digital interventions, adherence feedback, one or multiple digital components to the intervention, or participant age. Digital interventions were likely to improve asthma control (standardised mean difference (SMD) 0.31 higher, 95% CI 0.17 to 0.44; moderate-certainty evidence) - a small but likely clinically significant effect. They may reduce asthma exacerbations (risk ratio 0.53, 95% CI 0.32 to 0.91; low-certainty evidence). Digital interventions may result in a slight change in unscheduled healthcare utilisation, although some studies reported no or a worsened effect. School or work absence data could not be included for meta-analysis due to the heterogeneity in reporting and the low number of studies. They may result in little or no difference in lung function (forced expiratory volume in one second (FEV AUTHORS'

conclusionsOverall, digital interventions may result in a large increase in adherence (low-certainty evidence). There is moderate-certainty evidence that digital adherence interventions likely improve asthma control to a degree that is clinically significant, and likely increase quality of life, but there is little or no improvement in lung function. The review found low-certainty evidence that digital interventions may reduce asthma exacerbations. Subgroup analyses show that EMDs may improve adherence by 23% and SMS interventions by 12%, and interventions with an in-person element and adherence feedback may have greater benefits for asthma control and adherence, respectively. Future studies should include percentage adherence as a routine outcome measure to enable comparison between studies and meta-analysis, and use validated questionnaires to assess adherence and outcomes.

Indexed as

AsthmaAdrenal Cortex HormonesAdultChildForced Expiratory VolumeHumansMedication AdherenceQuality of LifeAdrenal Cortex Hormones

Identifiers

PMID35691614
PMCPMC9188849
OpenAlexW4282571657

What Socratic holds

Textmetadata
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 Socratic graph.