Last updated August 29, 2026
Key finding
Overall RR (%) for high engaged completers was 96.27 (4.56).
This study investigated the use of a mobile health texting tool for managing diabetes, finding high engagement rates among participants.
Quick read
The essential study design details in one scan.
EvidenceScore™
Moderate
Study type
RCTs
Follow-up
Long-Term (1–5 y)
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 investigated the use of a mobile health texting tool for managing diabetes, finding high engagement rates among participants.
The study highlights the potential of mHealth tools to enhance patient engagement in diabetes management, which is crucial for improving health outcomes. By effectively integrating patient-reported data, such tools can empower patients and facilitate better communication with healthcare providers, ultimately leading to more personalized care.
Effectiveness of the intervention remains unclear due to lack of definitive evidence. The study may not be generalizable to all diabetes populations. Limited information on long-term outcomes beyond the study duration.
Published in
Publication details and source links for this paper.
Anu S, Hamed M, Qing Y, et al. Investigating an mHealth texting tool for embedding patient-reported data into diabetes management. JMIR Diabetes. 2022;7(4):e41140. doi:10.2196/41140
The overall response rate for high engaged completers was 96.27%.
Response time for high engaged completers was recorded at 559 seconds.
Engagement patterns peaked during the fifth month for low engaged completers.
Significant demographic differences were observed between high and low engaged subgroups.
Evidence network
Understand where this research contributes within the broader evidence network.
This study contributes evidence to PRO mHealth tool for T2D management and Average response time to patient-reported outcome questions, Differences in Engagement Based on Demographic Characteristics, Response rate, and 1 more.
This study contributes evidence to
Primary intervention
PRO mHealth tool for T2D management
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.
0
Related topics
4
Evidence pairs
0
Related studies
Core evidence
The primary outcomes reported in this study.
PRO mHealth tool for T2D management → Average response time to patient-reported outcome questions
PRO mHealth tool for T2D management → Average response time to patient-reported outcome questions
PRO mHealth tool for T2D management → Differences in Engagement Based on Demographic Characteristics
PRO mHealth tool for T2D management → Differences in Engagement Based on Demographic Characteristics
PRO mHealth tool for T2D management → Response rate
PRO mHealth tool for T2D management → Response rate
PRO mHealth tool for T2D management → User Engagement Patterns Over Time
PRO mHealth tool for T2D management → User Engagement Patterns Over Time
Evidence Library
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on PRO mHealth tool for T2D management and Differences in Engagement Based on Demographic Characteristics, PRO mHealth tool for T2D management and User Engagement Patterns Over Time.
This study contributes to the evidence on the following intervention-outcome relationships.
Devices & Technology
Devices & Technology
Curated evidence collections and hubs this study is part of.
All studies measuring Differences in Engagement Based on Demographic Characteristics
Measures Differences in Engagement Based on Demographic Characteristics as a key outcome.
All studies on PRO mHealth tool for T2D management
Contributes to PRO mHealth tool for T2D management evidence base.
All studies measuring User Engagement Patterns Over Time
Measures User Engagement Patterns Over Time as a key outcome.
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1 results
1 results
1 results
1 results
1 results
Generated from the study's connected evidence using Evidence Intelligence™.
PRO mHealth tool for T2D management appears to improve average response time to patient-reported outcome questions.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Average response time to patient-reported outcome questions
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
PRO mHealth tool for T2D management appears to improve response rate.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Response rate
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 PRO mHealth tool for T2D management for differences in engagement based on demographic characteristics.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Differences in Engagement Based on Demographic Characteristics
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | neutral | 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 PRO mHealth tool for T2D management for user engagement patterns over time.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
User Engagement Patterns Over Time
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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