Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Digital Self-Monitoring in Severe Asthma

University of Medicine and Pharmacy "Victor Babes" Timisoara · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
Open Source ↗
adherenceasthmadigital-healthehealthnasevere-asthmatelemedicine
This randomized controlled pilot study aimed to assess adherence to telemedicine-based home monitoring using the AioCare digital respiratory system in adults with severe asthma over a three-month period and to determine whether weekly reminder messages sent via SMS or through the AioCare platform enhanced adherence compared with standard remote monitoring. The study was conducted at a single center in Timișoara, Romania, between October 2024 and October 2025. Thirty adult patients with severe asthma were randomized 1:1 to either an intervention group receiving weekly reminders via SMS or in-app notifications, or a control group without reminders. All participants performed weekly home spirometry for 12 weeks using the AioCare system. The primary objective of the study was to assess adherence to telemedicine-based home monitoring over the three-month period and to evaluate the effect of weekly reminder messages on adherence compared with standard remote monitoring. The study found that patients who received reminder messages demonstrated higher adherence to home monitoring compared with those who did not receive reminders. No device-related adverse events were reported.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 840156
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive