Evidence map›Paper›PMID 38441955›Full record

ArticleJMIR research protocols2024

Investigating Digital Patient-Reported Outcome Measures in Patient-Centered Diabetes Specialist Outpatient Care (DigiDiaS): Protocol for a Multimethod Prospective Observational Study.

Astrid Torbjørnsen, Ingeborg Spildo, Maria Aadland Mollestad, Annesofie Lunde Jensen, Tone Singstad, Nina Mickelson Weldingh, Pål Joranger, Lis Ribu, Heidi Holmen

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
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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

9 authors.

Astrid TorbjørnsenDepartment of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University - OsloMet, Oslo, Norway.ORCID https://orcid.org/0000-0003-2385-2452
Ingeborg Spildo *Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University - OsloMet, Oslo, Norway.ORCID https://orcid.org/0000-0003-0828-8582
Maria Aadland Mollestad *Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University - OsloMet, Oslo, Norway.ORCID https://orcid.org/0009-0005-6790-2361
Annesofie Lunde JensenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.ORCID https://orcid.org/0000-0003-2025-6663
Tone SingstadDivision of Medicine, Akershus University Hospital, Akershus, Norway.ORCID https://orcid.org/0000-0003-2499-5826
Nina Mickelson WeldinghDivision of Research and Innovation, Department of Research Support Service, Akershus University Hospital, Akershus, Norway.ORCID https://orcid.org/0000-0002-1965-4552
Pål JorangerDepartment of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University - OsloMet, Oslo, Norway.ORCID https://orcid.org/0000-0001-6274-8039
Lis RibuThe Centre for Senior Citizen Staff, Oslo Metropolitan University - OsloMet, Oslo, Norway.ORCID https://orcid.org/0000-0003-1850-7902
Heidi HolmenDepartment of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University - OsloMet, Oslo, Norway.ORCID https://orcid.org/0000-0003-1314-7813

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiving with type 1 diabetes is challenging, and to support self-management, repeated consultations in specialist outpatient care are often required. The emergence of new digital solutions has revolutionized how health care services can be patient centered, providing unprecedented opportunities for flexible, high-quality care. However, there is a lack of studies exploring how the use of digital patient-reported outcome measures (PROMs) for flexible specialist care affects diabetes self-management. To provide new knowledge on the relevance of using PROMs in standard care, we have designed a multimethod prospective study.

objectiveThe overall aim of this protocol is to describe our prospective multimethod observational study designed to investigate digital PROMs in a routine specialist outpatient setting for flexible patient-centered diabetes care (DigiDiaS).

methodsThis protocol outlines the design of a multimethod prospective observational cohort study that includes data from electronic health records, self-reported questionnaires, clinical consultation field observations, and individual in-depth interviews with patients and diabetes health care personnel. All patients with type 1 diabetes at a designated outpatient clinic were invited to participate and use the digital PROM implemented in clinical care. Both users and nonusers of the digital PROM were eligible for the prospective study, allowing for a comparison of the two groups. Data were collected at baseline and after 12 months, including self-management as the primary outcome assessed using the Patient Activation Measure, along with the secondary outcomes of digital health literacy, quality of life, health economy, and clinical variables such as glycated hemoglobin.

resultsThe digital solution was implemented for routine clinical care in the department in November 2021, and data collection for the prospective study started in October 2022. As of September 6, 2023, 84.6% (186/220) of patients among those in the digital PROM and 15.5% (34/220) of patients among the nonusers have consented to participate. We expect the study to have enough participants by the autumn of 2023. With 1 year of follow-up, the results are expected by spring 2025.

conclusionsIn conclusion, a multimethod prospective observational cohort study can offer valuable insights into the relevance, effectiveness, and acceptability of digital tools using PROMs in diabetes specialist care. Such knowledge is crucial for achieving broad and successful implementation and use of these tools in a large diabetes outpatient clinic. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/52766.

Indexed as

diabetes mellitusDMmobile appsmobile phonepatient acceptance of health carepatient-reported outcome measuresPROMstelemedicinetype 1

Identifiers

PMID38441955
PMCPMC10951827

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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.