Impact of a Diabetes Education Mobile Web Application on Patients With Uncontrolled Type 2 Diabetes
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Diabetes education web site application.
- Who it may be relevant to
- Registry conditions: Diabetes Mellitus, Type 2, Diabetes Education, Lifestyle Modification. Basic parameters: from 18 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- United States
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
Evaluating the Clinical Impact of a PCP Developed Diabetes Education Mobile Web Application on Patients With Uncontrolled Type 2 Diabetes
Overview
The goal of this clinical trial is to evaluate the use and effectiveness of a mobile web application (app) that is designed to educate and allow patients to manage diabetes and make sustainable lifestyle changes, and to study the impact of the app on clinical outcomes of diabetes (HA1C) and educational outcomes (Self-Efficacy for Diabetes Scale). The main question to answer is: Does the use of the Diabetes Application significantly affect clinical outcomes of diabetes and cardiometabolic risk factors (BMI and Blood Pressure)? Patients will be enrolled in one of two available arms of the study. Participants in the 'intervention arm' will use the app to view educational information presented as videos in the following areas: Healthy Coping, Healthy Eating, Staying Active, Medications (Use and Safety), Problem Solving in Diabetes and Disease Pathophysiology. They will continue routine follow-up care with their primary care physicians during the study. Participants in the 'control arm' will continue with their primary care physician in routine follow-up care, as normally scheduled. Researchers will compare the intervention arm participants to the control arm participants to find out about and compare changes in HA1C, systolic blood pressure, diastolic blood pressure, and body mass index. Groups will also be compared on the basis of self-perceived confidence of managing their diabetes by way of the Diabetes Self Efficacy Scale.
Interventions
- Other Diabetes education web site application
The Diabetes education website application will contain informational videos for this protocol. The videos will include a welcome video and the categorical topics of Healthy Coping, Healthy Eating, Staying Active, Medications (Use and Safety), Problem Solving in Diabetes, and Disease Pathophysiology. Each category contains several videos providing education about a different component of diabetes care.
Primary outcome measures
- Hemoglobin A1c [Time frame: 6 months]
- "Self-Efficacy for Diabetes Scale" [Time frame: 6 months]
Secondary outcome measures (1)
- Body Mass Index [Time frame: 6 months]
Eligibility criteria
Inclusion criteria
- Age ≥ 18 years
- Diagnosis of Type 2 Diabetes with HA1c >8.0
- Current patients of the Family Healthcare Center, Reading Hospital Tower health.
Exclusion criteria
- Identified special populations (pregnancy or individuals currently incarcerated)
- Patients without access to their own smart phone
- Any patient who is unable to provide their own informed consent to participate in the study
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Allocation
- Randomized
- Model
- Single group
- Masking
- Open label
- Primary purpose
- Supportive care
Study locations
United States · 1 center
- Reading Hospital, an affiliate of Tower Health — West Reading
Publications
- Shan R, Sarkar S, Martin SS. Digital health technology and mobile devices for the management of diabetes mellitus: state of the art. Diabetologia. 2019 Jun;62(6):877-887. doi: 10.1007/s00125-019-4864-7. Epub 2019 Apr 8. PMID 30963188
- Ball E, Rivas C. Health Apps Require Co-development to Be Acceptable and Effective. Front Psychol. 2021 Jul 16;12:714453. doi: 10.3389/fpsyg.2021.714453. eCollection 2021. No abstract available. PMID 34335428
- Kao CK, Liebovitz DM. Consumer Mobile Health Apps: Current State, Barriers, and Future Directions. PM R. 2017 May;9(5S):S106-S115. doi: 10.1016/j.pmrj.2017.02.018. PMID 28527495
- Doyle-Delgado K, Chamberlain JJ. Use of Diabetes-Related Applications and Digital Health Tools by People With Diabetes and Their Health Care Providers. Clin Diabetes. 2020 Dec;38(5):449-461. doi: 10.2337/cd20-0046. PMID 33384470
- Ye Q, Khan U, Boren SA, Simoes EJ, Kim MS. An Analysis of Diabetes Mobile Applications Features Compared to AADE7: Addressing Self-Management Behaviors in People With Diabetes. J Diabetes Sci Technol. 2018 Jul;12(4):808-816. doi: 10.1177/1932296818754907. Epub 2018 Feb 1. PMID 29390917
- Bonoto BC, de Araujo VE, Godoi IP, de Lemos LL, Godman B, Bennie M, Diniz LM, Junior AA. Efficacy of Mobile Apps to Support the Care of Patients With Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. JMIR Mhealth Uhealth. 2017 Mar 1;5(3):e4. doi: 10.2196/mhealth.6309. PMID 28249834
- American Diabetes Association. 6. Glycemic Targets: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021 Jan;44(Suppl 1):S73-S84. doi: 10.2337/dc21-S006. PMID 33298417
- Cui M, Wu X, Mao J, Wang X, Nie M. T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis. PLoS One. 2016 Nov 18;11(11):e0166718. doi: 10.1371/journal.pone.0166718. eCollection 2016. PMID 27861583
Identifiers
NCT: NCT05893927 · 2023-020