Co-design of a Digital Health Solution to Monitor Persisting Symptoms Related to COVID-19 Using Voice
NCT ID: NCT05546918
Last Updated: 2024-02-09
Study Results
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Basic Information
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COMPLETED
125 participants
OBSERVATIONAL
2022-10-01
2024-02-08
Brief Summary
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To achieve this objective the UpcomingVoice study will determine:
* The needs, expectancies, acceptability, fears, barriers and leverages of the end-users regarding the use of voice to self-monitor or screen for Long COVID symptoms
* The specifications that such a mobile application should meet in order to be considered acceptable and effective by its intended users in terms of technological aspects (type of device, type of voice recordings…), frequency of utilisation, design etc.
The project consists in 2 separate parts : one anonymous online survey and one qualitative part based on semi-structured interviews and focus groups.
The results of this study will be the specifications of a voice-based digital health solution.
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Detailed Description
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Voice is an interesting approach to use for telemonitoring as it is easy-to-collect, quick, energy efficient, and inducing less burden for patients. To bring vocal biomarkers of different symptoms into clinical and real-life practice, they have to be implemented in a digital health solution, for example a smartphone application.
It is crucial to involve the end-users in the development of such a digital health solution and in this project involve them during the entire project course.
The study protocol, the participant's documents, and the questionnaires have been reviewed by both Long COVID patients and HCPs prior to submission.
The co-design process will consist in 3 steps, each involving both patients and HCPs:
* Step 1. An online survey to assess acceptability, expectancies and define the general specifications of the digital health solution based on vocal biomarkers
* Step 2. Individual interviews based on the results of the online survey, to deeply discuss the same themes than in the survey and to define the main specification of the solution
* Step 3. Focus groups to present prototypes of the digital health solution and to collect user's comments and suggestions At each step participants will receive feedback from the previous step. Finally, participants with Long COVID and HCPs willing to be deeply involved in our research will be invited to co-author the scientific article presenting the results of this research.
The project is based on a mixed methods study and will integrate both qualitative and quantitative methods. Participants will be invited to participate in:
1\. Online anonymous survey 2 Online semi-structured individual interviews 3. Online Focus groups
Conditions
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Study Design
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OTHER
CROSS_SECTIONAL
Study Groups
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People with Long COVID
Any people with persisting symptoms related to COVID-19 (With a Long COVID diagnosis or not)
survey, interviews and focus groups
The 2 groups of participants will be invited to:
* complete an anonymous online survey
* participate in individual semi-structured interviews and 2 focus groups
Healthcare Professional
Healthcare professionals in charge of Long COVID patients
survey, interviews and focus groups
The 2 groups of participants will be invited to:
* complete an anonymous online survey
* participate in individual semi-structured interviews and 2 focus groups
Interventions
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survey, interviews and focus groups
The 2 groups of participants will be invited to:
* complete an anonymous online survey
* participate in individual semi-structured interviews and 2 focus groups
Eligibility Criteria
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Inclusion Criteria
* Adults (\>18 years)
* Male or female
* French speaking people
18 Years
ALL
Yes
Sponsors
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Luxembourg Institute of Health
OTHER_GOV
Responsible Party
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Principal Investigators
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Aurelie FISCHER, MSc
Role: PRINCIPAL_INVESTIGATOR
Luxembourg Institute of Health
Locations
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Luxembourg Institute of Health
Strassen, , Luxembourg
Countries
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References
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Fagherazzi G, Fischer A, Ismael M, Despotovic V. Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice. Digit Biomark. 2021 Apr 16;5(1):78-88. doi: 10.1159/000515346. eCollection 2021 Jan-Apr.
Fischer A, Zhang L, Elbeji A, Wilmes P, Oustric P, Staub T, Nazarov PV, Ollert M, Fagherazzi G. Long COVID Symptomatology After 12 Months and Its Impact on Quality of Life According to Initial Coronavirus Disease 2019 Disease Severity. Open Forum Infect Dis. 2022 Aug 5;9(8):ofac397. doi: 10.1093/ofid/ofac397. eCollection 2022 Aug.
Aguayo GA, Goetzinger C, Scibilia R, Fischer A, Seuring T, Tran VT, Ravaud P, Bereczky T, Huiart L, Fagherazzi G. Methods to Generate Innovative Research Ideas and Improve Patient and Public Involvement in Modern Epidemiological Research: Review, Patient Viewpoint, and Guidelines for Implementation of a Digital Cohort Study. J Med Internet Res. 2021 Dec 23;23(12):e25743. doi: 10.2196/25743.
Fischer A, Aguayo GA, Oustric P, Morin L, Larche J, Benoy C, Fagherazzi G. Co-Design of a Voice-Based Digital Health Solution to Monitor Persisting Symptoms Related to COVID-19 (UpcomingVoice Study): Protocol for a Mixed Methods Study. JMIR Res Protoc. 2023 Jun 19;12:e46103. doi: 10.2196/46103.
Other Identifiers
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UpcomingVoice
Identifier Type: -
Identifier Source: org_study_id
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