Evidence map›Paper›PMID 42518627›Full record

ArticleSleep medicine: X2026

Implementation of a digital obstructive sleep apnoea pathway in a tertiary respiratory service: a prospective service evaluation.

John Murray, Feargal Helly, Peter Coss, Alanna Brennan, Barry Kennedy, Brian Kent, Laura Piggott

Abstract read
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Article in Sleep medicine: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

John MurrayRespiratory Medicine Department, St. James's Hospital, Dublin, Ireland.
Feargal HellyRespiratory Medicine Department, St. James's Hospital, Dublin, Ireland.
Peter CossRespiratory Medicine Department, St. James's Hospital, Dublin, Ireland.
Alanna BrennanRespiratory Medicine Department, St. James's Hospital, Dublin, Ireland.
Barry KennedyRespiratory Medicine Department, St. James's Hospital, Dublin, Ireland.
Brian KentRespiratory Medicine Department, St. James's Hospital, Dublin, Ireland.
Laura PiggottRespiratory Medicine Department, St. James's Hospital, Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obstructive sleep apnoea (OSA) is highly prevalent, affecting a substantial proportion of the adult population, but remains frequently underdiagnosed. Traditional face-to-face assessment pathways are slow and resource-intensive, contributing to long waits for diagnosis and treatment. Digitally supported models that combine home testing with virtual review offer a potential solution, yet real-world implementation data from tertiary respiratory services remain limited. Methods: This prospective observational service evaluation examined a digital OSA pathway in a tertiary respiratory service at St. James's Hospital, Dublin, Ireland. During a 17-month period, adults newly referred for suspected OSA were enrolled in the digital pathway, with the option to opt out in favour of a traditional face-to-face clinic review.Enrolled patients completed app-based questionnaires, underwent WatchPAT home sleep testing, and received virtual sleep physician review via a digital platform. Primary outcomes were pathway activity and completion, diagnostic yield, referral-to-review interval, and 6-month continuous positive airway pressure (CPAP) adherence; secondary outcomes included CPAP referral rates and patient satisfaction, and comparison with a retrospective face-to-face clinic cohort. Results: Over 17 months, 23 digital clinics delivered 160 appointments to 118 patients, of whom 104 (88.1%) completed WatchPAT testing. Diagnostic yield was high, with 81/104 tests (77.9%) positive and a mean apnoea hypopnea index (AHI) in the severe range. Mean referral-to-review interval was 5.5 months. Of those with a positive test, 52 (64.2%) commenced CPAP, of whom 29 (55.8%) met standard 6-month adherence criteria.By comparison, 69 patients treated via the standard pathway commenced CPAP and 29 (42.0%) were adherent, corresponding to an odds ratio for adherence of 1.74 (95% confidence interval 0.84-3.60; Conclusions: A digitally integrated OSA pathway combining app-based assessment, home WatchPAT testing and virtual review was feasible to implement in a tertiary respiratory service, with high diagnostic yield and acceptable CPAP adherence in a selected cohort. These findings support further evaluation of digitally enabled OSA pathways as a potential model to expand access and reduce reliance on repeated in-person visits, including rigorous assessment of long-term outcomes, cost-effectiveness, and whether all patient groups benefit equally.

Indexed as

CPAP adherenceDigital healthHome sleep apnoea testingObstructive sleep apnoeaTelemedicineWatchPAT

Identifiers

PMID42518627
PMCPMC13382708

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LicenceCC BY-NC-ND
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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.