Evidence map›Paper›PMID 38410706›Full record

ArticleERJ open research2024

Positive airway pressure telehealth models and long-term therapy termination: a healthcare database analysis.

Holger Woehrle, Christoph Schoebel, Joachim H Ficker, Andrea Graml, Jürgen Schnepf, Ingo Fietze, Peter Young, Michael Arzt

Abstract read
In one paragraph

Article in ERJ open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Holger WoehrleSleep and Ventilation Center Blaubeuren, Lung Center Ulm, Ulm, Germany.
Christoph SchoebelDepartment of Sleep Medicine, University Duisburg-Essen, Essen, Germany.
Joachim H FickerDepartment of Respiratory Medicine, Allergology and Sleep Medicine, General Hospital Nuernberg and Paracelsus Medical University, Nuernberg, Germany.ORCID https://orcid.org/0000-0002-7175-5852
Andrea GramlResMed Science Center, ResMed Germany, Martinsried, Germany.
Jürgen SchnepfResMed Science Center, ResMed Germany, Martinsried, Germany.
Ingo FietzeCentre for Sleep Medicine, CCM-CC11, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Peter YoungDepartment for Neurology, Medical Park, Bad Feilnbach, Germany.
Michael ArztDepartment of Internal Medicine II, University Hospital Regensburg, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemonitoring-guided interventions can improve short-term positive airway pressure (PAP) therapy adherence, but long-term effects are unknown. This study investigated long-term PAP therapy termination in patients with sleep apnoea managed with standard care, telemonitoring-guided proactive care or telemonitoring-guided proactive care + patient engagement tool. Methods: German healthcare provider data were analysed retrospectively. Individuals aged 18-100 years who started PAP from 2014 to 2019 and had device type/interface data were included. Time-to-termination periods were analysed using Kaplan-Meier plots and Cox proportional hazards regression, adjusted for age, sex, insurance type, and device and mask type. Results: The per-protocol population (valid telemonitoring data) included 104 612 individuals (71% male; 95% aged >40 years). Mean follow-up was 3.3±2.0 years. The overall therapy termination rate was significantly lower in the telemonitoring-guided proactive care group Conclusions: Use of telemonitoring-guided proactive care and a patient engagement tool was associated with lower rates of PAP therapy termination.

Identifiers

PMID38410706
PMCPMC10895437

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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.