SynthesisThe Cochrane database of systematic reviews2023
Digital technology for monitoring adherence to inhaled therapies in people with cystic fibrosis.
Synthesis in The Cochrane database of systematic reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled 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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.
- Nebuliser systems for drug delivery in cystic fibrosis.The Cochrane database of systematic reviews · 2023Pooled it
- Digital technology for monitoring adherence to inhaled therapies in people with cystic fibrosis.The Cochrane database of systematic reviews · 2023Pooled it
- Wheeze detection in real-world pediatric care: AI applied to smartphone lung auscultation.European journal of pediatrics · 2026Observational
- Revolutionizing Care: Unleashing the Potential of Digital Health Technology in Physiotherapy Management for People With Cystic Fibrosis.JMIR rehabilitation and assistive technologies · 2024Article
- Digital technologies in bronchiectasis physiotherapy services: a survey of patients and physiotherapists in a UK centre.ERJ open research · 2024Article
- Telemedicine and Its Application in Cystic Fibrosis.Journal of personalized medicine · 2023Review
- Psychological interventions for improving adherence to inhaled therapies in people with cystic fibrosis.The Cochrane database of systematic reviews · 2023Review
- Optimizing CFTR modulator therapy management for cystic fibrosis through the ReX platform.Frontiers in pediatrics · 2023Article
Corrections and comments
- Updated by
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundImproved understanding and treatment of cystic fibrosis (CF) has led to longer life expectancy, which is accompanied by an increasingly complex regimen of treatments. Suboptimal adherence to the treatment plan, in the context of respiratory disease, has been found to be associated with poorer health outcomes. With digital technology being more accessible, it can be used to monitor adherence to inhaled therapies via chipped nebulisers, mobile phone apps and web-based platforms. This technology can allow monitoring of adherence as well as clinical outcomes, and allow feedback to both the person with CF and their healthcare team.
objectivesTo assess the effects of using digital technology to monitor adherence to inhaled therapies and health status in adults and children with CF. SEARCH
methodsWe searched the Cochrane Cystic Fibrosis Trials Register, compiled from electronic database searches and handsearching of journals and conference abstract books. Date of last search: 28 October 2021. We also searched Embase and three clinical trial registries and checked references of included studies. Date of last search: 9 November 2021. SELECTION CRITERIA: We searched for randomised controlled trials (RCTs) looking at the effects of a digital technology for monitoring adherence of children and adults with CF to inhaled therapies. DATA COLLECTION AND ANALYSIS: Two review authors screened the search results for studies eligible for inclusion in the review and extracted their data. We used Risk of Bias 2 for assessing study quality. We assessed the overall certainty of the evidence using GRADE. MAIN
resultsWe included two studies in our review, with 628 participants aged five to 41 years. There was one study each for two different comparisons. Nebuliser target inhalation mode versus standard inhalation mode The included parallel study was carried out over 10 weeks after a run-in period of four to six weeks. The study compared the effects of a digitally enhanced inhalation mode (target inhalation mode) for nebulised antibiotics compared to standard mode in children attending a regional CF clinic in the United Kingdom. The study's primary outcome was the time taken to complete the inhaled treatment, but investigators also reported on adherence to therapy. The results showed that there may be an improvement in adherence with the target inhalation mode when this intervention is used (mean difference (MD) 24.0%, 95% confidence interval (CI) 2.95 to 45.05; low-certainty evidence). The target inhalation mode may make little or no difference to forced expiratory volume in one second (FEV AUTHORS'
conclusionsDigital monitoring plus tailored support via an online platform probably improves adherence to inhaled therapies and reduces treatment burden (but without a corresponding change in QoL) in the medium term (low- and moderate-certainty evidence). In a shorter time frame, technological enhancement of inhaling antibiotics may improve adherence to treatment (low-certainty evidence). There may be little or no effect on lung function with either intervention, and online monitoring probably makes no difference to pulmonary exacerbations. Future research should assess the effect of digital technology on adherence in both children and adults. Consideration of adherence to the total treatment regimen is also important, as an improvement in adherence to inhaled therapies could come at the cost of adherence to other parts of the treatment regimen.
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What OpenQuestion holds
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.