Expectations of People With Type 1 Diabetes About Voice-based Interventions to Support Diabetes Distress Management
NCT ID: NCT05517772
Last Updated: 2023-10-25
Study Results
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Basic Information
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COMPLETED
12 participants
OBSERVATIONAL
2022-06-16
2023-05-02
Brief Summary
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Detailed Description
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Diabetes distress is a common condition in people living with type 1 diabetes. Diabetes distress is associated with poor metabolic control and low quality of life. Because voice analysis involves highly complex methods for processing audio features, this kind of development might also be capable of detecting subtle changes associated with psychological factors, like diabetes distress.
Nevertheless, digital health incorporation into the everyday lives of potential users might also imply a big challenge for many of them.
For this reason, studying the needs of the end-users of technological tools before defining any aspect of their design has become a critical step in developing this kind of technology.
The main objective of Psyvoice is to identify the preferences of people living with type 1 diabetes for voice-based digital health solutions for diabetes distress detection and control.
Secondary objectives are:
1. Delineating the properties that an instrument for diabetes distress management must incorporate to be considered adequate by its intended users (e.g. single voice-analysis function exclusively for diabetes distress management vs multiple functions or multiple uses).
2. Determining the attributes (e.g. frequency of use) that could make a digital health solution prone to be integrated by its end-users into their everyday lives.
3. Defining the characteristics likely to make a digital health solution acceptable. These are privacy and security concerns, barriers of use (difficulties with technology, disability) and facilitators of use (technical support, use of plain language).
To achieve all of these objectives, the investigators will conduct in-depth interviews.
The study will combine qualitative and quantitative methods. The investigators will invite twenty people with a T1D diagnosis or caregivers of children diagnosed with this condition to participate in semi-structured in-depth interviews and questionnaires. The questionnaires will be composed of a Socio-demographic, an e-Health Literacy (eHLQ) questionnaire, and a Diabetes Distress (PAID) scale.
Conditions
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Study Design
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OTHER
CROSS_SECTIONAL
Eligibility Criteria
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Inclusion Criteria
2. Able to speak and read in English, German, or French.
Exclusion Criteria
13 Years
ALL
No
Sponsors
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Luxembourg Institute of Health
OTHER_GOV
Responsible Party
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Principal Investigators
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Guy A Fagherazzi, PhD
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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Kiriella DA, Islam S, Oridota O, Sohler N, Dessenne C, de Beaufort C, Fagherazzi G, Aguayo GA. Unraveling the concepts of distress, burnout, and depression in type 1 diabetes: A scoping review. EClinicalMedicine. 2021 Aug 28;40:101118. doi: 10.1016/j.eclinm.2021.101118. eCollection 2021 Oct.
Mathiesen AS, Thomsen T, Jensen T, Schiotz C, Langberg H, Egerod I. The influence of diabetes distress on digital interventions for diabetes management in vulnerable people with type 2 diabetes: A qualitative study of patient perspectives. J Clin Transl Endocrinol. 2017 Jul 11;9:41-47. doi: 10.1016/j.jcte.2017.07.002. eCollection 2017 Sep.
Hart RI, Kimbell B, Rankin D, Allen JM, Boughton CK, Campbell F, de Beaufort C, Frohlich-Reiterer E, Ware J, Hofer SE, Kapellen TM, Rami-Merhar B, Thankamony A, Hovorka R, Lawton J; KidsAP Consortium. Parents' experiences of using remote monitoring technology to manage type 1 diabetes in very young children during a clinical trial: Qualitative study. Diabet Med. 2022 Jul;39(7):e14828. doi: 10.1111/dme.14828. Epub 2022 Mar 24.
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.
Aguirre Vergara F, Pinker I, Fischer A, Seuring T, Tichomirowa MA, de Beaufort C, Kamp SM, Fagherazzi G, Aguayo GA. Readiness of adults with type 1 diabetes and diabetes caregivers for diabetes distress monitoring using a voice-based digital health solution: insights from the PsyVoice mixed methods study. BMJ Open. 2025 Jan 2;15(1):e088424. doi: 10.1136/bmjopen-2024-088424.
Aguirre Vergara F, Fischer A, Seuring T, de Beaufort C, Fagherazzi G, Aguayo GA. Mixed-methods study protocol to identify expectations of people with type 1 diabetes and their caregivers about voice-based digital health solutions to support the management of diabetes distress: the PsyVoice study. BMJ Open. 2023 Sep 13;13(9):e068264. doi: 10.1136/bmjopen-2022-068264.
Other Identifiers
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PSYVOICE
Identifier Type: -
Identifier Source: org_study_id
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