Early Warning System for Allergic Rhinitis in the MASK-air® App

February 3, 2025 updated by: Universidade do Porto

Randomised Controlled Trial on an Early Warning System for Allergic Rhinitis in the MASK-air® App

The primary objective consists in the comparison of the combined symptom medication score values between (i) patients randomised to the early warning system personalised forecasting messages, and (ii) patients randomised to generic messages already delivered by MASK-air®.

The combined symptom medication score has recently been developed in a data-driven way and validated (https://eaaci.org/images/CSMS.pdf); it assesses allergic rhinitis control taking into account both reported symptoms and medication use.

As secondary objectives, visual analogue scales on allergic rhinitis symptoms (VAS global, nasal, eye, asthma), and medication use will also be separately compared.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

In patients with allergic rhinitis, forecasting potential exacerbation of symptoms may allow patients to adopt the most adequate preventive measures. In this context, we are developing an early warning system combining atmospheric, pollen, patient symptoms and online activity data.

This early warning system will be incorporated in a mobile health app, and aims to provide patients with messages indicating whether exacerbations are expected in the subsequent five days.

To test the effectiveness of the early warning system in avoiding a worsening of patients' symptoms, undertaking a randomised controlled trial is warranted, particularly comparing personalised forecasting messages versus generic messages.

The clinical study will assess an early warning system, which will be developed through the CATALYSE project. This early warning system will be incorporated in MASK-air®, a mobile health app implemented in 19 European countries, and which allows for patients to register their daily allergic rhinitis symptoms(rhinitis, conjunctivitis and asthma) and medication. The early warning system will be based on: patients' symptom information (as registered in MASK-air®); and atmospheric and pollen forecasts provided by SILAM model and Copernicus systems (which are able to provide forecasts for six main allergic pollen types in Europe, and is able to assimilate new observations registered with an hourly time resolution).

Study Type

Interventional

Enrollment (Estimated)

210

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Porto, Portugal
        • Faculty of Medicine University of Porto
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

- Adult patients (≥18 years old) of both sexes with clinical diagnosis of allergic rhinitis according to ARIA associated with pollen allergy.

Exclusion Criteria:

  • Illiterate patients
  • Patients without smartphone
  • Patients who are not able to complete a daily monitoring questionnaire on allergic rhinitis.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Generic messages already delivered by MASK-air®
Experimental: Early warning system personalised forecasting messages
Early warning system personalised forecasting messages

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Combined symptom medication score values
Time Frame: From enrollment to the end of intervention at 2 weeks

Daily symptom and medication data provided by patients allow the calculation of two validated daily combined symptom-medication scores from formulae previously published:

  • the CSMS (combined symptom-medication score)
  • e-DASTHMA.
From enrollment to the end of intervention at 2 weeks

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

January 30, 2025

Primary Completion (Estimated)

January 15, 2026

Study Completion (Estimated)

May 15, 2026

Study Registration Dates

First Submitted

January 6, 2025

First Submitted That Met QC Criteria

January 6, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

February 3, 2025

Last Verified

December 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • Universidade do Porto
  • 101057131 (Other Grant/Funding Number: Horizon Europe research and innovation framework programme)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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