NCT06783907

Brief Summary

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.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
60

participants targeted

Target at P25-P50 for not_applicable diabetes-mellitus

Timeline
Completed

Started Dec 2023

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

December 1, 2023

Completed
1 year until next milestone

First Submitted

Initial submission to the registry

December 12, 2024

Completed
1 month until next milestone

First Posted

Study publicly available on registry

January 20, 2025

Completed
5 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 10, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 10, 2025

Completed
Last Updated

September 11, 2025

Status Verified

September 1, 2025

Enrollment Period

1.5 years

First QC Date

December 12, 2024

Last Update Submit

September 9, 2025

Conditions

Keywords

Non-invasive technology for continuous glucose monitoringDiabetes Mellitus Self-management

Outcome Measures

Primary Outcomes (1)

  • The point of care test (POCT) of HbA1C level

    Change in HbA1C level The HbA1C will be measured by A1CNow system.

    8 weeks

Secondary Outcomes (5)

  • Change in lipid and glucose panel

    8 weeks

  • Change in basic anthropometric measurement

    8 weeks

  • Change in blood pressure

    8 weeks

  • Change in breath and blood ketone

    8 weeks

  • Change in Summary of Diabetes Self-Care Activities (SDSCA) Chinese Version

    8 weeks

Study Arms (2)

Non invasive blood glucose monitoring group

EXPERIMENTAL

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.

Behavioral: Non-invasive blood glucose monitoring

Traditional blood glucose monitoring

ACTIVE COMPARATOR

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.

Behavioral: Traditional blood glucose monitoring

Interventions

Non-invasive wearable glucose monitoring device for capturing participants' blood glucose. The intervention will include: 1. Training for self-management of diabetes and phone consultation. 2. Follow-up through phone calls or WhatsApp for hypoglycaemic or hyperglycaemic events. 3. Personalized care guided by sensor data. The Investigator will monitor the health data from the device regularly. A mobile app will track and record compliance with blood glucose monitoring.

Non invasive blood glucose monitoring group

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

Eligibility Criteria

Age60 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • aged ≥ 60 years old;
  • patients diagnosed with Type II DM without insulin injections;
  • patients experienced hypo (histix \< 4.0 mmol/L) or hyperglycemia (histix
  • mmol/L); \&
  • \. The Abbreviated Mental Test (AMT) ≥ 6.

You may not qualify if:

  • 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).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

LEI FOOK Neighbourhood Elderly Centre

Hong Kong, Hong Kong

Location

Related Publications (9)

  • 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.

    PMID: 31518657BACKGROUND
  • 2. World Health Organization. (2016). Global Report on Diabetes. In World Health Organization (Vol. 978). https://doi.org/ISBN 978 92 4 156525 7

    BACKGROUND
  • 3. Centre for Health Protection. (2017). Report of Population Health Survey 2014/2015.

    BACKGROUND
  • 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.

    PMID: 31488002BACKGROUND
  • 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.

    PMID: 34874892BACKGROUND
  • 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.

    PMID: 30943983BACKGROUND
  • 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.

    PMID: 34309569BACKGROUND
  • 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.

    PMID: 34514668BACKGROUND
  • 9. Pimenta, N., Félix, I. B., Monteiro, D.

    BACKGROUND

MeSH Terms

Conditions

Diabetes Mellitus

Condition Hierarchy (Ancestors)

Glucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System Diseases

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor

Study Record Dates

First Submitted

December 12, 2024

First Posted

January 20, 2025

Study Start

December 1, 2023

Primary Completion

June 10, 2025

Study Completion

June 10, 2025

Last Updated

September 11, 2025

Record last verified: 2025-09

Data Sharing

IPD Sharing
Will share
Shared Documents
STUDY PROTOCOL

Locations