Evidence map›Paper›PMID 39753264›Full record

ArticleBMJ open2025

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.

Franchesca Aguirre Vergara, India Pinker, Aurélie Fischer, Till Seuring, Maria A Tichomirowa, Carine de Beaufort, Siri-Maria Kamp, Guy Fagherazzi, Gloria A Aguayo

Registry-linked trialAbstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05517772 (The Voice of Diabetes), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05517772 completednot on this map

The Voice of Diabetes: A Mixed-methods Study on the Needs of People With Type 1 Diabetes and Their Caregivers to Co-design a Voice-based Digital Health Solution to Support Diabetes Distress Management

TypeobservationalSponsorLuxembourg Institute of HealthRan2022 to 2023Enrolled12Conditionstype1diabetes, Diabetes Distress
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Franchesca Aguirre VergaraDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
India PinkerAgeing, Cancer and Disparities Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID http://orcid.org/0000-0002-1816-050X
Aurélie FischerDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
Till SeuringObservatoire National de la Santé Strassen, Luxembourg, Luxembourg.
Maria A TichomirowaEndocrinology, Centre Hospitalier du Nord, Ettelbrück, Luxembourg.
Carine de BeaufortDepartment of Paediatric Diabetes and Endocrinology, Centre Hospitalier de Luxembourg, Luxembourg, Luxembourg.
Siri-Maria KampNeurocognitive Psychology Unit, Universität Trier, Trier, Germany.
Guy FagherazziDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.ORCID http://orcid.org/0000-0001-5033-5966
Gloria A AguayoDeep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg gloria.aguayo@lih.lu.ORCID http://orcid.org/0000-0002-5625-1664

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesDiabetes distress can negatively affect the well-being of individuals with type 1 diabetes (T1D). Voice-based (VB) technology can be used to develop inexpensive and ecological tools for managing diabetes distress. This study explored the competencies to engage with digital health services, needs and preferences of individuals with T1D or caring for a child with this condition regarding VB technology to inform the tailoring of a co-designed tool for supporting diabetes distress management.

designWe used a mixed methods design. We performed a qualitative reflexive thematic analysis of semistructured interviews of people living with T1D or caring for a child with T1D, complemented by quantitative analysis (descriptive statistics).

setting12 adults living with T1D who attended diabetes centres or cared for a child with this condition participated in semistructured interviews to collect opinions about voice technology. They also responded to three questionnaires on sociodemographics and diabetes management, diabetes distress and e-health literacy. OUTCOME MEASURES: Main: Patient experiences and perceptions derived from the coded transcriptions of interview data. Secondary: Quantitative data generated from Socio-Demographic and Diabetes Management questionnaire; Problem Areas in Diabetes Scale and e-Health Literacy Questionnaire.

resultsFive major themes were generated from the participants' interview responses: (1) Experience of T1D, (2) Barriers to VB technology use, (3) Facilitators of VB technology, (4) Expectations of VB technology management in T1D, (5) Role of healthcare professionals in implementing VB technology for T1D. Most participants expressed a favourable view of voice technology for diabetes distress management. Trust in technology and healthcare professionals emerged as the predominant sentiment, with participants' current device type impacting anticipated barriers to adopting new technologies.

conclusionThe results highlighted positive participant views towards VB technology. Device use, previous experience and health professional endorsement were influential facilitators of novel VB digital health solutions. Further research involving younger people with T1D could further contribute to the successful development of these tools. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov, NCT05517772.

Indexed as

CaregiversDiabetes Mellitus, Type 1Qualitative ResearchAdultDigital HealthFemaleHumansInterviews as TopicMaleMiddle AgedStress, PsychologicalSurveys and QuestionnairesTelemedicineYoung AdultDIABETES & ENDOCRINOLOGYEPIDEMIOLOGYHealth informaticsHealth LiteracyQUALITATIVE RESEARCHStress, Psychological

Identifiers

PMID39753264
PMCPMC11749292

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.