Evidence map›Paper›PMID 40029895›Full record

ArticlePloS one2025

What are end-users' needs and preferences for a comprehensive e-health program for type 2 diabetes? - A qualitative user preference study.

Tina Rishaug, Anne-Marie Aas, André Henriksen, Gunnar Hartvigsen, Kåre Inge Birkeland, Eirik Årsand

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

6 authors.

Tina RishaugDepartment of Computer Science, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway.ORCID https://orcid.org/0009-0003-4009-0055
Anne-Marie AasDepartment of Clinical Service, Faculty of Medicine, University of Oslo, Oslo, Norway.
André HenriksenDepartment of Computer Science, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0002-0918-7444
Gunnar HartvigsenDepartment of Computer Science, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway.
Kåre Inge BirkelandDepartment of Transplantation, Faculty of Medicine, University of Oslo, Oslo, Norway.
Eirik ÅrsandDepartment of Computer Science, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionType 2 diabetes (T2D) prevalence is rising, which imposes a significant burden on individuals, healthcare systems, and economies worldwide. Lifestyle factors contribute significantly to the escalating incidence of T2D. Consequently, there is an increasing need for interventions that not only target at-risk populations for prevention but also empower individuals with T2D to achieve better self-management and possibly attain remission through sustained lifestyle modifications. Technological tools may improve health outcomes compared to traditional in-person care, and can include registration of important health parameters, provide follow-up and support, and enhance self-management. The aim of this study was to receive feedback from end-users to inform the development of a comprehensive e-health program focusing on lifestyle modification in pre-diabetes and T2D.

methodsDuring eight focus group meetings, sixteen adults with pre-diabetes or T2D from all over Norway informed the study about needs and preferences for an e-health program, including essential functionalities and design choices. A questionnaire and paper prototyping were used to complement the discussions in the focus group meetings.

resultsLack of necessary diabetes knowledge was common, and education was considered essential for improved self-management. Essential functionalities included registration and overview of several health parameters, long-term follow-up and coaching through communication platforms within the program, automatic data transfer from different devices such as blood glucose monitors and smartwatches, and educational courses. To ensure end-users' satisfaction with the program and increase motivation for long-term usage, the participants rendered tailoring of desired functionalities and content as crucial.

conclusionBased on the findings, a list of recommendations was created, containing the most crucial functionalities and features to include when developing e-health and/or m-health tools for people with pre-diabetes and T2D. Future work should include health care personnel to explore their needs and preferences, and ways such an e-health program may enhance patient interaction without increasing workload and resource use.

Indexed as

Diabetes Mellitus, Type 2Patient PreferenceAdultAgedFemaleFocus GroupsHumansLife StyleMaleMiddle AgedNorwayQualitative ResearchSelf-ManagementSurveys and QuestionnairesTelemedicine

Identifiers

PMID40029895
PMCPMC11875348

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Registered trials

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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.