Última actualización 7 de julio de 2026
Key finding
Face-to-face sessions: 112/117, 96% and telephone contacts completed: 145/156, 93%; mean weekly accelerometer use 54%; ranging from 80% to 17% during the intervention.
This study examined the implementation of a mobile health (mHealth) intervention aimed at increasing nonexercise physical activity in patients with Type 2 Diabetes, with unclear effectiveness.
Quick read
The essential study design details in one scan.
EvidenceScore™
Moderate
Study type
RCTs
Follow-up
Medium-Term (3–12 mo)
Risk of bias
Some Concerns
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Plain-language summary
A plain-language read of the study’s main message and where it applies.
Study focus
This study examined the implementation of a mobile health (mHealth) intervention aimed at increasing nonexercise physical activity in patients with Type 2 Diabetes, with unclear effectiveness.
Understanding the effectiveness of mHealth interventions is crucial for developing strategies that can help patients with Type 2 Diabetes increase their physical activity, which is vital for managing their condition. High fidelity and acceptability suggest that such programs could be beneficial, but further research is needed to confirm their effectiveness.
Effectiveness of the intervention remains unclear due to lack of comparative studies. Limited generalizability as the study focused on a specific population of Type 2 Diabetes patients. Potential biases in self-reported data regarding acceptability.
Published in
Publication details and source links for this paper.
Minna A, Kari T, Henri V, et al. Examining Perceived Behavior Change Needs and Implementation of an mHealth Approach in Increasing Nonexercise Physical Activity in Patients with Type 2 Diabetes. JMIR Formative Research. 2026;10:e80304. doi:10.2196/80304
Fidelity of the intervention was high, with 96% of face-to-face sessions and 93% of telephone contacts completed.
Mean weekly accelerometer use was 54%, indicating varying levels of engagement.
Acceptability scores ranged from 3.8 to 4.8, suggesting participants found the intervention favorable.
Evidence network
Understand where this research contributes within the broader evidence network.
This study contributes evidence to mHealth intervention with personal feedback and Acceptability of mHealth intervention, Fidelity of mHealth intervention, Perceived behavior change needs.
This study contributes evidence to
Primary intervention
mHealth intervention with personal feedback
Primary outcomes
Primary intervention
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.
0
Related topics
3
Evidence pairs
0
Related studies
Core evidence
The primary outcomes reported in this study.
mHealth intervention with personal feedback → Acceptability of mHealth intervention
mHealth intervention with personal feedback → Acceptability of mHealth intervention
mHealth intervention with personal feedback → Fidelity of mHealth intervention
mHealth intervention with personal feedback → Fidelity of mHealth intervention
mHealth intervention with personal feedback → Perceived behavior change needs
mHealth intervention with personal feedback → Perceived behavior change needs
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on mHealth Diabetes Support Interventions and Acceptability of mHealth intervention, mHealth Diabetes Support Interventions and Fidelity of mHealth intervention.
This study contributes to the evidence on the following intervention-outcome relationships.
Behavioral & Lifestyle
Behavioral & Lifestyle
Curated evidence collections and hubs this study is part of.
All studies measuring Acceptability of mHealth intervention
Measures Acceptability of mHealth intervention as a key outcome.
All studies measuring Fidelity of mHealth intervention
Measures Fidelity of mHealth intervention as a key outcome.
All studies on mHealth Diabetes Support Interventions
Contributes to mHealth Diabetes Support Interventions evidence base.
Latest published studies
Published within the last 2 years.
Jump to pre-filtered views in Evidence Explorer.
1 results
1 results
1 results
1 results
1 results
Generated from the study's connected evidence using Evidence Intelligence™.
mHealth intervention with personal feedback appears to improve Acceptability of mHealth intervention.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Acceptability of mHealth intervention
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
mHealth intervention with personal feedback appears to improve Fidelity of mHealth intervention.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Fidelity of mHealth intervention
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
Current evidence does not show a clear benefit of mHealth intervention with personal feedback for Perceived behavior change needs.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Perceived behavior change needs
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
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