Last updated August 29, 2026
Key finding
No statistically significant between-group, within-group, and interaction effects between group and time in PCS scores.
This study examined the effects of adding nursing interaction to mHealth interventions for older adults, finding no significant differences in quality of life but some improvements in self-efficacy.
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 effects of adding nursing interaction to mHealth interventions for older adults, finding no significant differences in quality of life but some improvements in self-efficacy.
Understanding the impact of mHealth interventions on older adults is crucial for developing effective health strategies. While some benefits were observed in self-efficacy and depression, the lack of improvement in quality of life suggests that additional support or different approaches may be needed to achieve meaningful health outcomes.
The study did not find significant improvements in quality of life measures. Results may not be generalizable to all older adult populations. The sample size and characteristics of participants were not detailed.
Published in
Publication details and source links for this paper.
Arkers KCW, Frances KYW, Jonathan B, Karen KSC, Siu MW, Athena YLL. Benefits of Adding Nursing Interaction to mHealth for Older Adults: A Randomized Controlled Trial. Frontiers in Psychiatry. 2022;13:978416. doi:10.3389/fpsyt.2022.978416
The mHealth group showed an improvement in self-efficacy scores from T1 to T2.
The mHealth group demonstrated a decrease in depression scores from T1 to T2.
No statistically significant differences were found in quality of life measures between groups.
Evidence network
Understand where this research contributes within the broader evidence network.
This study contributes evidence to mHealth diabetes support intervention, mHealth with interactivity and Depression score, Exercise self-efficacy, Quality of life.
This study contributes evidence to
Primary intervention
mHealth diabetes support intervention
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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Related topics
6
Evidence pairs
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Primary evidence
Evidence relationship
Related evidence
Evidence relationship
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Evidence relationship
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Core evidence
The primary outcomes reported in this study.
mHealth diabetes support intervention → Depression score
mHealth diabetes support intervention → Depression score
mHealth diabetes support intervention → Exercise self-efficacy
mHealth diabetes support intervention → Exercise self-efficacy
mHealth diabetes support intervention → Quality of life
mHealth diabetes support intervention → Quality of life
mHealth with interactivity → Depression score
mHealth with interactivity → Depression score
mHealth with interactivity → Exercise self-efficacy
mHealth with interactivity → Exercise self-efficacy
mHealth with interactivity → Quality of life
mHealth with interactivity → Quality of life
Evidence Library
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Relationships organized using the Dediabetes Evidence Intelligence™ framework.
This study contributes to evidence on mHealth Diabetes Support Interventions and Mental Health, mHealth Diabetes Support Interventions and Quality of Life Outcomes.
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 Mental Health
Measures Mental Health as a key outcome.
All studies on mHealth Diabetes Support Interventions
Contributes to mHealth Diabetes Support Interventions evidence base.
All studies measuring Quality of Life Outcomes
Measures Quality of Life Outcomes as a key outcome.
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2 results
2 results
2 results
2 results
2 results
Generated from the study's connected evidence using Evidence Intelligence™.
mHealth Diabetes Support Interventions may improve Diabetes Management Self-Efficacy.
ConsistencyScore™: Results are consistent across studies.
Ranked evidence signals
Exercise self-efficacy
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on 3 supporting studies with consistent results and a positive effect signal.
Limitations
Current evidence does not show a clear benefit of mHealth Diabetes Support Interventions for Quality of Life Outcomes.
ConsistencyScore™: Results are mixed and should be interpreted cautiously.
Ranked evidence signals
Quality of life
EvidenceScore™ Moderate | EvidenceScore™ 69.0 | neutral | ConsistencyScore™ Mixed | 1 study
Why this answer: This answer is cautious because the available studies report mixed findings.
Limitations
Current evidence does not show a clear benefit of mHealth Diabetes Support Interventions for Mental Health.
ConsistencyScore™: Results are mixed and should be interpreted cautiously.
Ranked evidence signals
Depression score
EvidenceScore™ Moderate | EvidenceScore™ 69.0 | neutral | ConsistencyScore™ Mixed | 1 study
Why this answer: This answer is cautious because the available studies report mixed findings.
Limitations
mHealth with interactivity appears to improve Exercise self-efficacy.
ConsistencyScore™: Consistency cannot yet be determined from the available evidence.
Ranked evidence signals
Exercise self-efficacy
EvidenceScore™ Emerging | EvidenceScore™ 59.0 | strong positive | ConsistencyScore™ Unclear | 1 study
Why this answer: This answer is based on a single supporting study.
Limitations
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