- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06783907
Technological-based Personalized Care Intervention for Supporting Older People With Diabetes Mellitus
The objectives of this project are (1) to develop a new model of DM management using non-invasive healthcare technology for continuous glucose monitoring; (2) to use health apps to give timely personalized care intervention for enhancing compliance rate of DM self-management; & (3) to compare the DM management using non-invasive healthcare technology to traditional invasive blood glucose monitoring method.
The proposed study will adopt a RCT with two treatment arms to clarify the effects of non-invasive blood glucose device on blood glucose monitoring. The two arms will be the non-invasive blood glucose monitoring (arm 1) and traditional self-monitoring (arm 2) as a control. A block randomisation and a single-blind design will be used. The inclusion criteria are (1) aged ≥ 60 years old; (2) patients diagnosed with Type II DM; (3) patients experienced hypo (histix < 4.0 mmol/L) or hyperglycemia (histix ≥16.0 mmol/L); & (iv) the Abbreviated Mental Test (AMT) ≥ 6.
Participants fitting the inclusion criteria will be selected by convenience sampling. They will join a two-arm RCT and will be allocated into the intervention or control group in a 1:1 ratio.
The primary outcomes will be the point of care test (POCT) of HbA1C level and the secondary outcomes will be the fasting blood glucose, total cholesterol, blood pressure, basic anthropometric measurement, breath and blood ketone and Diabetes Self-Care activities questionnaire. The outcome measurements will be recorded before the intervention (T0) and immediately after the 8-week intervention (T1).
The required sample size would be 30 participants per group (with a ratio of 1:1) for testing the feasibility of the study.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Research aim
1. This study will aim to develop a new model of DM management using non- invasive healthcare technology for continuous glucose monitoring.
2 To use health apps to give timely personalized care intervention for enhancing compliance rate of DM self-management. 3. To compare the DM management using non-invasive healthcare technology to traditional invasive blood glucose monitoring method. 4. To improve self-management skills, decrease hospital admissions, and save medical.
Our DM project integrates personalized care intervention with a non-invasive continuous glucose monitoring (CGM) device for diabetes patients. The use of mHealth (Mobile health) ensures timely care without time or location constraints, while Just-in-Time Adaptive Intervention (JITAI) provides instant, personalized support. The painless, non-invasive CGM device offers an alternative to traditional finger-prick methods, improving compliance with self-management. This approach is particularly beneficial for patients who struggle with conventional monitoring and aims to enhance both patient outcomes and healthcare efficiency, especially for older people at high risk of hypo- or hyperglycemia.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Hong Kong, Hong Kong
- LEI FOOK Neighbourhood Elderly Centre
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- aged ≥ 60 years old;
- patients diagnosed with Type II DM without insulin injections;
patients experienced hypo (histix < 4.0 mmol/L) or hyperglycemia (histix
- 16.0 mmol/L); &
2. The Abbreviated Mental Test (AMT) ≥ 6.
Exclusion Criteria:
- patient on dialysis;
- taking ascorbic acid > 500mg daily or (Not recommended by manufacturer as result may be affected);
- taking salicylic acid ≥ 650mg single dose or (Not recommended by manufacturer as result may be affected); or
- scheduled radiological therapy during CGM application (Not recommended by manufacturer as result may be affected).
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Non invasive blood glucose monitoring group
Non invasive blood glucose monitoring : Participants will use a non-invasive sensor on the arm for blood glucose monitoring during the first and second weeks, as well as the seventh and eighth weeks.
Between the third and sixth weeks, participants will be asked to monitor their blood glucose levels at home using traditional methods.
|
Non-invasive wearable glucose monitoring device for capturing participants' blood glucose. The intervention will include:
The Investigator will monitor the health data from the device regularly. A mobile app will track and record compliance with blood glucose monitoring. |
|
Active Comparator: Traditional blood glucose monitoring
Traditional blood glucose monitoring : Participants will engage in traditional self-monitoring of blood glucose at home over the course of 8 weeks.
They are recommended to check their blood glucose levels one to two times per week and record all results.
This will allow for the collection of data using traditional monitoring methods.
|
Traditional blood glucose monitoring Participants will engage in traditional self-monitoring of blood glucose at home over the course of 8 weeks. They are recommended to check their blood glucose levels one to two times per week and record all results. This will allow for the collection of data using traditional monitoring methods. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The point of care test (POCT) of HbA1C level
Time Frame: 8 weeks
|
Change in HbA1C level The HbA1C will be measured by A1CNow system.
|
8 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in lipid and glucose panel
Time Frame: 8 weeks
|
Change in lipid and glucose panel measured by CardioChek
|
8 weeks
|
|
Change in basic anthropometric measurement
Time Frame: 8 weeks
|
Change in basic anthropometric measurement:
|
8 weeks
|
|
Change in blood pressure
Time Frame: 8 weeks
|
Change in blood pressure: Measured using Omron M7 blood pressure monitors to assess brachial blood pressure |
8 weeks
|
|
Change in breath and blood ketone
Time Frame: 8 weeks
|
Change in breath and blood ketone: Used to detect ketones in the breath and blood, indicating hyperglycemia or diabetic ketoacidosis in individuals with diabetes |
8 weeks
|
|
Change in Summary of Diabetes Self-Care Activities (SDSCA) Chinese Version
Time Frame: 8 weeks
|
Change in Summary of Diabetes Self-Care Activities (SDSCA) Chinese Version: Used to assess participants' diabetes self-care activities. |
8 weeks
|
Collaborators and Investigators
Publications and helpful links
General Publications
- Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, Colagiuri S, Guariguata L, Motala AA, Ogurtsova K, Shaw JE, Bright D, Williams R; IDF Diabetes Atlas Committee. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019 Nov;157:107843. doi: 10.1016/j.diabres.2019.107843. Epub 2019 Sep 10.
- Hardeman W, Houghton J, Lane K, Jones A, Naughton F. A systematic review of just-in-time adaptive interventions (JITAIs) to promote physical activity. Int J Behav Nutr Phys Act. 2019 Apr 3;16(1):31. doi: 10.1186/s12966-019-0792-7.
- 2. World Health Organization. (2016). Global Report on Diabetes. In World Health Organization (Vol. 978). https://doi.org/ISBN 978 92 4 156525 7
- 3. Centre for Health Protection. (2017). Report of Population Health Survey 2014/2015.
- Wang L, Miller LC. Just-in-the-Moment Adaptive Interventions (JITAI): A Meta-Analytical Review. Health Commun. 2020 Nov;35(12):1531-1544. doi: 10.1080/10410236.2019.1652388. Epub 2019 Sep 5.
- Goldstein SP, Zhang F, Klasnja P, Hoover A, Wing RR, Thomas JG. Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized Trial. JMIR Res Protoc. 2021 Dec 6;10(12):e33568. doi: 10.2196/33568.
- Teepe GW, Da Fonseca A, Kleim B, Jacobson NC, Salamanca Sanabria A, Tudor Car L, Fleisch E, Kowatsch T. Just-in-Time Adaptive Mechanisms of Popular Mobile Apps for Individuals With Depression: Systematic App Search and Literature Review. J Med Internet Res. 2021 Sep 28;23(9):e29412. doi: 10.2196/29412.
- Perski O, Hebert ET, Naughton F, Hekler EB, Brown J, Businelle MS. Technology-mediated just-in-time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review. Addiction. 2022 May;117(5):1220-1241. doi: 10.1111/add.15687. Epub 2021 Oct 11.
- 9. Pimenta, N., Félix, I. B., Monteiro, D.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- HE-RD/2023/1.11
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Diabetes Mellitus
-
Guang NingRecruitingType 2 Diabetes Mellitus | Type1 Diabetes Mellitus | Monogenetic Diabetes | Pancreatogenic Diabetes | Drug-Induced Diabetes Mellitus | Other Forms of Diabetes MellitusChina
-
University of Colorado, DenverMassachusetts General Hospital; Beta Bionics, Inc.CompletedDiabetes Mellitus, Type 1 | Type 1 Diabetes | Diabetes type1 | Type 1 Diabetes Mellitus | Autoimmune Diabetes | Diabetes Mellitus, Insulin-Dependent | Juvenile-Onset Diabetes | Diabetes, Autoimmune | Insulin-Dependent Diabetes Mellitus 1 | Diabetes Mellitus, Insulin-Dependent, 1 | Diabetes Mellitus, Brittle | Diabetes Mellitus, Juvenile-Onset and other conditionsUnited States
-
State University of New York at BuffaloMedical University of South CarolinaCompletedDiabetes Mellitus | Type 2 Diabetes Mellitus | Adult-Onset Diabetes Mellitus | Non-Insulin-Dependent Diabetes Mellitus | Noninsulin Dependent Diabetes Mellitus, Type IIUnited States
-
Hanmi Pharmaceutical Company LimitedUnknownType2 Diabetes Mellitus | Type1 Diabetes MellitusUnited States
-
Meir Medical CenterCompletedDiabetes Mellitus Type 2 | Diabetes Mellitus, Non-insulin Dependant | Diabetes Mellitus, on Oral Hypoglycemic Treatment | Adult Type Diabetes MellitusIsrael
-
Medtronic MiniMed, Inc.RecruitingType 2 Diabetes Mellitus | Type 1 Diabetes MellitusUnited States, Australia, New Zealand
-
Peking Union Medical College HospitalUnknownType 2 Diabetes Mellitus | Type 1 Diabetes Mellitus | Gestational Diabetes Mellitus | Pancreatogenic Diabetes Mellitus | Pregestational Diabetes Mellitus | Diabetes Patients in Perioperative PeriodChina
-
University of Colorado, DenverMassachusetts General Hospital; Ann & Robert H Lurie Children's Hospital of... and other collaboratorsRecruitingDiabetes Mellitus | Diabetes | Type 2 Diabetes | Diabetes Mellitus Type 2 | Diabetes Mellitus, Type I | Diabetes Mellitus Type II | Diabetes Mellitus, Insulin-Dependent | Diabetes, Autoimmune | Type 1 Diabetes (T1D) | Diabetes Type 2 on Insulin | Diabetes, Type IIUnited States
-
SanofiCompletedType 1 Diabetes Mellitus-Type 2 Diabetes MellitusHungary, Russian Federation, Germany, Poland, Japan, United States, Finland
-
Medical University of South CarolinaNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)CompletedDiabetes Mellitus, Type 2 | Diabetes Mellitus, Type II | Diabetes Mellitus, Adult-Onset | Diabetes Mellitus, Non-Insulin-Dependent | Diabetes Mellitus, Noninsulin DependentUnited States
Clinical Trials on Non-invasive blood glucose monitoring
-
Universitätsklinikum Hamburg-EppendorfCompletedBlood Pressure | Perioperative HypotensionGermany
-
University of MessinaSocieta Italiana Anestesia Analgesia Rianimazione e Terapia IntensivaCompletedPostoperative Complications | Hemodynamic Monitoring | Blood Pressure DeterminationItaly
-
Korea University Anam HospitalRecruitingNoninvasive Cardiac Monitoring | Hemodynamic Instability | Intracranial Aneurysms | Coil Embolization | Cerebral AneurysmsSouth Korea
-
Universitätsklinikum Hamburg-EppendorfCompletedBlood Pressure | Postinduction Hypotension | Perioperative HypotensionGermany
-
Sciema UGCnoga Medical Ltd.Completed
-
Nanjing First Hospital, Nanjing Medical UniversityRecruiting
-
Cnoga Medical Ltd.CompletedMetabolic Diseases | Diabetes | Anemia | Heart Disease | Hypotension | High Blood Pressure | Respiratory DiseasesUnited States
-
The Cleveland ClinicAlertgyCompletedType 2 DiabetesUnited States
-
Czech Technical University in PragueCompletedHypertension | Blood PressureCzechia
-
Riverside University Health System Medical CenterCompletedBlood Pressure | Validation | DeviceUnited States