Evidence map›Paper›PMID 37477963›Full record

ArticleJMIR diabetes2023

User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study.

Mary M Barker, Radhika Chauhan, Melanie J Davies, Christopher Brough, Alison Northern, Bernie Stribling, Sally Schreder, Kamlesh Khunti, Michelle Hadjiconstantinou

Abstract read
In one paragraph

Article in JMIR diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Observational
  4. Type 2 diabetes mellitus.Nature reviews. Disease primers · 2026
    Review
  5. Article
  6. Article
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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.

Mary M Barker *Diabetes Research Centre, University of Leicester, NIHR Leicester Biomedical Research Centre, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-5516-8615
Radhika Chauhan *Diabetes Research Centre, University of Leicester, NIHR Leicester Biomedical Research Centre, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-0539-1886
Melanie J DaviesDiabetes Research Centre, University of Leicester, NIHR Leicester Biomedical Research Centre, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-9987-9371
Christopher BroughLeicester Diabetes Centre, University Leicester Hospitals Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0001-5623-2669
Alison NorthernLeicester Diabetes Centre, University Leicester Hospitals Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0001-8193-3934
Bernie StriblingLeicester Diabetes Centre, University Leicester Hospitals Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0003-1426-1132
Sally SchrederLeicester Diabetes Centre, University Leicester Hospitals Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-4394-9764
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, NIHR Leicester Biomedical Research Centre, Leicester, United Kingdom.ORCID https://orcid.org/0000-0003-2343-7099
Michelle HadjiconstantinouDiabetes Research Centre, University of Leicester, NIHR Leicester Biomedical Research Centre, Leicester, United Kingdom.ORCID https://orcid.org/0000-0003-2827-0988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital health interventions have the potential to improve the physical and psychosocial health of people living with type 2 diabetes. However, research investigating the long-term (≥1 year) retention and engagement of users within these programs is limited.

objectiveThe aim of this study was to evaluate long-term user retention and engagement in the digital-based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) program, using real-world data.

methodsAnonymized data from all myDESMOND users who registered with the program on or before November 16, 2020, were included in the analyses. User retention was defined as the period between the day a user registered with the myDESMOND program and their last day of access. The primary engagement outcome was defined as the total number of log-ins to the program per user. The associations between retention, engagement, and sociodemographic factors (age, sex, and ethnicity) were tested using Cox regression models and Wilcoxon rank sum tests.

resultsA total of 9522 myDESMOND users were included in this analysis. Of the 9522 users, 5360 (56.29%) remained on the program for at least a month, whereas 1676 (17.6%) remained on the program for at least 1 year. Retention was significantly higher among older users; the adjusted hazard ratio (representing the risk of users leaving the program within the first year) among users aged ≥50 years, compared with those aged <50 years, was 0.79 (95% CI 0.75-0.84; P<.001). The median number of myDESMOND log-ins per user was 8 (IQR 4-8); however, this was significantly lower among users aged <50 years (P<.001). Engagement metrics also differed according to sociodemographic characteristics; the estimated time spent per log-in was 5.35 (IQR 2.22-11.80) minutes among all users; however, this was significantly higher among female users (P<.001), users aged ≥50 years (P<.001), and users of White ethnicity (P=.02).

conclusionsAlthough retention and engagement of users within myDESMOND were found to be high, these findings highlight the need for age- and culture-specific implementation strategies and content adaptations to improve retention and engagement among all users of self-management programs.

Indexed as

digital self-managementengagementmobile phoneretentiontype 2 diabetes

Identifiers

PMID37477963
PMCPMC10403792

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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.