Evidence map›Paper›PMID 40627552›Full record

ArticleJMIR human factors2025

Exploring Clinicians' and Patients' Acceptance and Utilization of a Digital Solution to Support Individualized Care in Diabetes Specialist Outpatient Care (DigiDiaS): Qualitative Study.

Maria Aadland Mollestad, Annesofie Lunde Jensen, Heidi Holmen, Tone Singstad, Eirik Årsand, Jacob Andreas Winther, Astrid Torbjørnsen

Abstract read
In one paragraph

Article in JMIR human factors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Article
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

7 authors.

Maria Aadland MollestadDepartment of Nursing and Health Promotion, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Postboks 4, St Olavs plass, Oslo, 0130, Norway, +4767235266.ORCID 0009-0005-6790-2361
Annesofie Lunde Jensen *SDCA-Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0003-2025-6663
Heidi Holmen *Department of Nursing and Health Promotion, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Postboks 4, St Olavs plass, Oslo, 0130, Norway, +4767235266.ORCID 0000-0003-1314-7813
Tone SingstadDivision of Medicine, Akershus University Hospital, Lillestrøm, Norway.ORCID 0000-0003-2499-5826
Eirik ÅrsandDepartment of Computer Science, Faculty of Science and Technology, UiT The Arctic University of Norway, Tromsø, Norway.ORCID 0000-0002-9520-1408
Jacob Andreas WintherDivision of Medicine, Akershus University Hospital, Lillestrøm, Norway.ORCID 0000-0003-2158-786X
Astrid TorbjørnsenDepartment of Nursing and Health Promotion, Faculty of Health Sciences, OsloMet-Oslo Metropolitan University, Postboks 4, St Olavs plass, Oslo, 0130, Norway, +4767235266.ORCID 0000-0003-2385-2452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With the increasing prevalence of type 1 diabetes alongside limited health care resources, the need for more sustainable health care services is apparent. Central to ensuring the standard of diabetes care while simultaneously optimizing resource utilization is improved patient-clinician communication and the provision of individualized care. Digital outpatient solutions incorporating patient-reported outcome measures (PROMs) have been introduced in diabetes outpatient care over recent years; however, features and delivery methods differ, and existing studies on their use and perceived clinical value are limited. Furthermore, clinicians' acceptance has been suggested as a key factor in the sustainability of digital solutions. Thus, to support the implementation of digital outpatient solutions perceived as valuable by clinicians and patients, we need more knowledge about how they are accepted and utilized in clinical practice. Objective: This study investigates how clinicians and patients with type 1 diabetes accept and utilize a digital outpatient solution to support individualized care in the context of full-scale implementation at a diabetes specialist outpatient clinic. Furthermore, we aim to explore the synchronous interaction between patients and clinicians when they are allowed to prepare through the filling and reviewing of asynchronous PROMs before consultations. Methods: This qualitative study uses interpretive description as a methodological approach. The digital outpatient solution features various components, including PROM questionnaires, asynchronous chat, remote consultations, e-learning, and information distribution. Data were collected through semistructured interviews with 10 clinicians and 20 patients with type 1 diabetes and observations of consultations. The data from the patient and clinician interviews (267 A4 pages) were analyzed separately before being jointly analyzed in the context of the findings from the observations (40 A4 pages). Results: Our analysis resulted in the following three main themes that describe the interplay between clinicians' and patients' acceptance, utilization, and perceived clinical value of a digital outpatient solution: (1) clinicians' acceptance of the digital outpatient solution influences patients' acceptance, (2) variations in the use of different features influence the extent of individualized care, and (3) clinicians' and patients' utilization influences perceived care efficiency and quality. Those who demonstrated higher acceptance and more extensive utilization reported that the solution was more valuable in enhancing individualized care efficiency and quality. Conclusions: This study highlights the interplay between clinicians' and patients' acceptance, utilization, and perceived clinical value of a digital outpatient solution in diabetes specialist outpatient care. Our findings suggest that when clinicians and patients understand why and how digital solutions are used, such solutions can enhance care efficiency and quality, contributing to sustainable health care. Future research should aim to gain an in-depth understanding of clinicians' and patients' acceptance, as well as the effectiveness of change management strategies when implementing digital outpatient solutions in diabetes specialist outpatient care.

Indexed as

Ambulatory CareAttitude of Health PersonnelDiabetes Mellitus, Type 1Patient Acceptance of Health CareAdultFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresQualitative ResearchTelemedicinediabetes mellituseHealthinterpretive descriptionmHealthoutpatient carepatient-centered carepatient-reported outcome measurestelemedicinetype 1 diabetes

Identifiers

PMID40627552
PMCPMC12262153

What Socratic 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 Socratic graph.