GeoAsma: Pilot and Evaluation of a Clinical Decision Support System and a Mobile App for the Management of Asthma Patients.
NCT ID: NCT05639101
Last Updated: 2022-12-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
214 participants
INTERVENTIONAL
2020-07-24
2023-12-31
Brief Summary
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Detailed Description
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This project aims to study through data mining techniques and multilevel analysis the influence of clinical and environmental factors: pollen level, air pollution, atmospheric conditions and social determinants in more than 800,000 asthmatic patients during the last 15 years in Andalusia, the southernmost region of Spain. It is expected that the results of this study will serve to define predictive models that will help professionals and patients in our region to make decisions.
After the validation of the models, a decision support system will be implemented in a web platform and in a mobile application. Its impact on the reduction of exacerbations, control, quality of life and resource consumption of asthmatic patients will be analysed. This evaluation will be carried out through a pilot with 214 patients with a follow-up period of 12 months with asthma in the hospitals participating in this proposal.
Conditions
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Study Design
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RANDOMIZED
SINGLE_GROUP
OTHER
NONE
Study Groups
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Intervention group
Clinicians will use a Clinical decision support system to better manage their patients. Asthmatic patients will use a smartphone app for their self management.
Clinical Decission support system management & mobile App Intervention Group
The clinicians treating the patients will use a clinical decision support system that includes predictive models associated with the level of risk of exacerbation. This models have been obtained in asthmatic patients by applying data mining techniques and multilevel analysis in the study of the influence of clinical characteristics and the environment of each subject.
The patients will use a mobile app to help manage their symptoms.
Control
Asthmatic patients that will not be subject to any intervention
No interventions assigned to this group
Interventions
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Clinical Decission support system management & mobile App Intervention Group
The clinicians treating the patients will use a clinical decision support system that includes predictive models associated with the level of risk of exacerbation. This models have been obtained in asthmatic patients by applying data mining techniques and multilevel analysis in the study of the influence of clinical characteristics and the environment of each subject.
The patients will use a mobile app to help manage their symptoms.
Eligibility Criteria
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Inclusion Criteria
* No respiratory infections in the month prior to testing.
* Availability and/or ability to use a Smartphone.
Exclusion Criteria
* Pregnant women, breastfeeding women or women who want to become pregnant during the duration of the study.
* Subjects with malignant disease, uncontrolled risk factors or any pathology that compromises the safety of the study.
* Treatment with systemic corticosteroids during the 6 months prior to or during the study.
* Subjects with problems that limit their ability to cooperate.
* Subjects unable to perform correct spirometric maneuvers.
6 Years
ALL
No
Sponsors
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Hospital Universitario Virgen Macarena
OTHER
Responsible Party
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Alberto Moreno Conde
PHD Alberto Moreno Conde
Principal Investigators
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Alberto Moreno
Role: PRINCIPAL_INVESTIGATOR
Hospital Universitario Virgen Macarena
Locations
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Alberto Moreno Conde
Seville, , Spain
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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PI-0100-2020
Identifier Type: -
Identifier Source: org_study_id
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