Patient engagement
Mobile app for diabetes self-management → Patient engagement
Mobile app for diabetes self-management → Patient engagement
Evidence profile
Key finding
82% of participants fell into the 'Averagers' category.
This study explored engagement patterns in a mobile health intervention for women at risk of gestational diabetes, revealing varied engagement clusters.
Evidence strength
Moderate confidence
Study type
RCTs
Follow-up
Long-Term (1–5 y)
Quick read
The essential study design details in one scan.
Population
Young Adult (19–39), Middle Aged (40-64), Male, Female, Asia-Pacific (APAC), with T2 Diabetes
Intervention
Liva app mHealth lifestyle coaching
Study type
RCTs
Follow-up
Long-Term (1–5 y)
Primary outcome
Engagement cluster: Averagers
Evidence
Moderate confidence
Plain-language summary
A plain-language read of the study's main message and where it applies.
Study focus
This study explored engagement patterns in a mobile health intervention for women at risk of gestational diabetes, revealing varied engagement clusters.
Understanding engagement patterns in mobile health interventions is crucial for tailoring these tools to better support women at risk of gestational diabetes. By identifying how different users interact with the app, healthcare providers can enhance user experience and potentially improve health outcomes.
Effectiveness of the intervention remains unclear. Limited generalizability due to specific population focus. Potential unmeasured confounders affecting engagement.
Published in
Publication details and source links for this paper.
Signe BB, Timothy CS, Sharleen LO, Elena RV, Mathias SH, Ditte HL. Exploring engagement patterns within a mobile health intervention for women at risk of gestational diabetes. Women's Health. 2025;21:17455057251327510. doi:10.1177/17455057251327510
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82% of participants were categorized as 'Averagers'.
Participants in the 'Goalers' cluster primarily engaged with goal-setting features.
The 'Immersers' cluster showed significant engagement with multiple app features.
Evidence network
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This study contributes evidence to Mobile app for diabetes self-management and Patient engagement.
This study contributes evidence to
Primary intervention
Mobile app for diabetes self-management
Primary outcomes
Primary intervention
Primary outcomes
Intervention and outcome relationships this study adds to the evidence network.
Editorial context
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Evidence network role
This section describes how the study fits into the current evidence network. It does not determine whether an intervention works on its own.
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Core evidence
The primary outcomes reported in this study.
Mobile app for diabetes self-management → Patient engagement
Mobile app for diabetes self-management → Patient engagement
Evidence profile
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on Mobile app for diabetes self-management and Patient engagement.
This study contributes to the evidence on the following intervention-outcome relationships.
Behavioral & Lifestyle
Curated evidence collections and hubs this study is part of.
All studies on Mobile app for diabetes self-management
Contributes to Mobile app for diabetes self-management evidence base.
All studies measuring Patient engagement
Measures Patient engagement as a key outcome.
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Published within the last 2 years.
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1 results
1 results
1 results
Generated from the study's connected evidence using Evidence Intelligence™.
Mobile app for diabetes self-management appears to improve Patient engagement.
ConsensusScore™: Results are consistent across studies.
Ranked evidence signals
Patient engagement
EvidenceScore™ Emerging | EvidenceScore™ 52.9 | strong positive | ConsensusScore™ Consistent | 1 study
Why this answer: This answer is based on a single supporting study.
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