NCT05517772

Brief Summary

This study explores the perspectives and needs of people dealing with type 1 diabetes or their carers to co-design a voice-based digital health intervention for supporting diabetes distress management.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
12

participants targeted

Target at below P25 for all trials

Timeline
Completed

Started Jun 2022

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

June 16, 2022

Completed
2 months until next milestone

First Submitted

Initial submission to the registry

August 23, 2022

Completed
3 days until next milestone

First Posted

Study publicly available on registry

August 26, 2022

Completed
8 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 2, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 2, 2023

Completed
Last Updated

October 25, 2023

Status Verified

October 1, 2023

Enrollment Period

11 months

First QC Date

August 23, 2022

Last Update Submit

October 24, 2023

Conditions

Keywords

type 1 diabetesdiabetes distressvoice technologydepressionanxietyquality of lifedigital healthvocal biomarkers

Outcome Measures

Primary Outcomes (1)

  • Semi-structured interviews

    Analyzing semi-structured interviews using a qualitative research methods approach will allow extracting the themes that matter for people when expressing preferences regarding digital voice technology.

    At baseline

Secondary Outcomes (1)

  • Patient reported outcomes

    At baseline

Eligibility Criteria

Age13 Years+
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Diabetes clinic and diabetes patient association

You may qualify if:

  • Men or women with a Type 1 diabetes diagnosis /caregivers of children diagnosed with T1D
  • Able to speak and read in English, German, or French.

You may not qualify if:

  • Unwilling or unable to participate in online interviews.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Luxembourg Institute of Health

Strassen, 1445, Luxembourg

Location

Related Publications (6)

  • 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.

    PMID: 34485879BACKGROUND
  • 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.

    PMID: 29067269BACKGROUND
  • 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.

    PMID: 35274356BACKGROUND
  • 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.

    PMID: 34056518BACKGROUND
  • 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.

MeSH Terms

Conditions

Diabetes Mellitus, Type 1DepressionAnxiety Disorders

Condition Hierarchy (Ancestors)

Diabetes MellitusGlucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System DiseasesBehavioral SymptomsBehaviorMental Disorders

Study Officials

  • Guy A Fagherazzi, PhD

    Luxembourg Institute of Health

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
OTHER
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER GOV
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 23, 2022

First Posted

August 26, 2022

Study Start

June 16, 2022

Primary Completion

May 2, 2023

Study Completion

May 2, 2023

Last Updated

October 25, 2023

Record last verified: 2023-10

Data Sharing

IPD Sharing
Will not share

Locations