Evidence map›Paper›PMID 42207173›Full record

ArticleJMIR formative research2026

Experiences of People With Poorly Controlled Type 2 Diabetes Using Telemonitoring: Qualitative Study Embedded in a Feasibility Trial.

Iben Engelbrecht Giese, Sisse Heiden Laursen, Pernille Frøstrup Barington, Peter Vestergaard, Stine Hangaard

Abstract read
In one paragraph

Article in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

5 authors.

Iben Engelbrecht GieseDepartment of Health Science and Technology, Faculty of Medicine, Aalborg University, Selma Lagerløfs Vej 249, Gistrup, North Denmark, 9260, Denmark, 45 99409940.ORCID 0009-0007-7841-0930
Sisse Heiden LaursenDepartment of Health Science and Technology, Faculty of Medicine, Aalborg University, Selma Lagerløfs Vej 249, Gistrup, North Denmark, 9260, Denmark, 45 99409940.ORCID 0000-0001-5884-8125
Pernille Frøstrup BaringtonSteno Diabetes Center North Denmark, Aalborg University Hospital, Gistrup, North Denmark, Denmark.ORCID 0009-0002-3551-8590
Peter VestergaardSteno Diabetes Center North Denmark, Aalborg University Hospital, Gistrup, North Denmark, Denmark.ORCID 0000-0002-9046-2967
Stine HangaardDepartment of Health Science and Technology, Faculty of Medicine, Aalborg University, Selma Lagerløfs Vej 249, Gistrup, North Denmark, 9260, Denmark, 45 99409940.ORCID 0000-0003-0395-3563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Telemonitoring has been shown to improve glycemic control in type 2 diabetes, but the optimal design for effectively integrating self-management education remains unclear. Including patient feedback in the design process can enhance usability, increase engagement, and improve the feasibility and effectiveness of the intervention in real-world settings. Objective: This study aims to explore participants' experiences and the acceptability of 2 different telemonitoring intervention designs and trial procedures used in a feasibility trial among people with non-insulin-dependent type 2 diabetes. Methods: Using a qualitative research design, semistructured interviews were conducted with participants who had completed the telemonitoring intervention. The interviews were analyzed using the thematic approach outlined by Braun and Clarke. Results: A total of 12 participants were interviewed. Four major themes emerged from the analysis: (1) acceptance of and experience with telemonitoring and devices, (2) structure and flow of the intervention, (3) relationship with and support from health care professionals, and (4) learning to live with diabetes. Participants found the devices easy to use, particularly self-monitoring of blood glucose, which was perceived as highly relevant and informative. Technical challenges were primarily related to the activity tracker and initial device setup. The measurement schedule supported self-management, though some participants found it inflexible and difficult to integrate into daily life. Continuous communication with health care professionals was highly valued and fostered trust. Participants reported increased insight into the relationship between lifestyle behaviors and blood glucose levels, which motivated healthier dietary choices and increased physical activity. Participants described that telemonitoring enhanced their understanding of diabetes and supported their engagement in self-management, although preferences for measurement types and frequency varied. Conclusions: Participants reported overall satisfaction, attributing it to structured monitoring and consultations with health care professionals that supported self-management. Blood glucose, physical activity, and diet were considered the most relevant data types. Tailoring the intervention to user priorities and improving the usability of devices and the intervention structure may increase engagement and motivation. Integrating continuous glucose monitoring may further reduce the burden associated with self-monitoring in future telemonitoring interventions for people with type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2AdultAgedBlood Glucose Self-MonitoringFeasibility StudiesFemaleGlycemic ControlHumansInterviews as TopicMaleMiddle AgedPatient SatisfactionQualitative ResearchRemote Patient MonitoringTelemedicinefeasibility trialpatient educationqualitative researchself-managementtelehealthtelemonitoringtype 2 diabetes

Identifiers

PMID42207173
PMCPMC13218280

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.