Efficacy of Using Mobile Health Applications for Health
1 other identifier
interventional
30
1 country
1
Brief Summary
The purpose of this study is to determine the effectiveness of mobile health applications in improving health outcomes and type II diabetes outcomes in type 2 diabetics. This study will involve a 6-month long commitment where participants will be expected to weigh themselves every morning, at the same time, and check their blood glucose readings daily before and after meals for at least three meals in the day.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable diabetes-mellitus-type-2
Started Oct 2022
Longer than P75 for not_applicable diabetes-mellitus-type-2
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2022
CompletedFirst Submitted
Initial submission to the registry
October 16, 2022
CompletedFirst Posted
Study publicly available on registry
October 21, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 1, 2028
October 6, 2025
September 1, 2025
5.8 years
October 16, 2022
September 30, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Effectiveness of mHealth apps at changing bodyweight assessed by bodyweight measurements over 6 months
Determine if mhealth app is an effective weight loss modality compared to standard weight loss program (control) Outcome measure will be body weight in kg
6 months
Self-efficacy in weight management assessed by Weight Management and Nutrition Knowledge questionnaire
Compare and determine which intervention promotes self-efficacy in weight management. Reporting will be on a scale of 0-100, with higher scores indicating higher self-efficacy
6 months
Long term change in diabetes via A1c
Compare and determine which intervention elicits the most change towards diabetes via HbA1c Outcome measure will be HbA1c
6 months
Long term change in diabetes via fasting blood glucose
Compare and determine which intervention elicits the most change towards diabetes via fasting blood glucose Outcome measure will be fasting blood glucose
6 months
Secondary Outcomes (1)
Quality of Life after using mHealth apps assessed by World Health Organization Quality of Life BREF questionnaire
6 months
Study Arms (2)
Control
NO INTERVENTIONHealthi
EXPERIMENTALInterventions
Eligibility Criteria
You may qualify if:
- Diagnosed with type II diabetes for at least 3 months
- Between the age of 18-64
- BMI ≥ 25
- Monitors blood glucose regularly (at least once per day)
- Owns or has access to a bathroom weight scale
- Owns a smartphone and willing to download mobile app
You may not qualify if:
- Does not check blood glucose at least once per day
- On medications that promote weight gain such as antipsychotic, antidepressant, and steroid hormone medications.
- Medications for diabetes such as insulin, thiazolidinediones or sulfonylureas are oka
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
San Diego State University
San Diego, California, 92182, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- TREATMENT
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
October 16, 2022
First Posted
October 21, 2022
Study Start
October 1, 2022
Primary Completion (Estimated)
July 1, 2028
Study Completion (Estimated)
July 1, 2028
Last Updated
October 6, 2025
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will not share