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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT06292871
Other study ID # 2023/2712
Secondary ID
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date March 2024
Est. completion date May 2025

Study information

Verified date February 2024
Source KK Women's and Children's Hospital
Contact See Ling Loy, PhD
Phone 63948105
Email loyseeling@duke-nus.edu.sg
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

To assess the efficacy of utilizing a social media platform for dietary and lifestyle management in improving acceptance and blood glucose control in patients with gestational diabetes mellitus (GDM), compared to the control group under usual care. Specifically, i. To measure the participants' acceptability and satisfaction levels of receiving intervention through the social media platform. ii. To measure the feasibility of using the social media platform to provide GDM support through participants' engagement levels and feedback questionnaire. iii. To measure the efficacy of using the social media platform to manage emotional responses in women with GDM. iv. To measure the efficacy of using the social media platform to optimize glycemic control in women with GDM.


Description:

Engaging pregnant women with GDM in dietary management over the gestation has been challenging. This pilot trial aims to assess the efficacy of utilizing a social media platform for dietary and lifestyle management in improving acceptance and blood glucose control among patients with GDM, compared to a control group receiving usual care. The study will employ a randomized controlled trial design, with GDM patients from KK Women's and Children's Hospital (KKH) randomly assigned to either the usual care (control; n=40) or to additional support via a dedicated social media platform for a period of 1 month, where a moderator will be available to address patients' queries and share relevant educational resources (intervention; n=40). Outcome measures include acceptance, satisfaction, and engagement levels, emotional well-being as well as the percentage achievement of time-in-range glucose readings for GDM patients. The independent t-test will be used to compare the outcome measures between groups. The findings from this study will provide valuable insights into the feasibility and efficacy of incorporating digital platforms into routine dietary counselling practices for improved patient outcomes and enhanced management of GDM.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 80
Est. completion date May 2025
Est. primary completion date June 2024
Accepts healthy volunteers No
Gender Female
Age group 21 Years to 45 Years
Eligibility Inclusion Criteria: - Diagnosed with GDM as confirmed by the Oral Glucose Tolerance Test during pregnancy - Age = 21 and = 45 years - Attended first (baseline) session of GDM diet counselling session - Able to read and comprehend English - Have a digital device accessible to social media platform - Have SingPass access - Able to provide informed consent Exclusion Criteria: - With known Type 1 or Type 2 diabetes - Have multiple pregnancy

Study Design


Intervention

Behavioral:
Additional GDM management through social media
Usual care provided by a diabetes nurse educator and dietitian. Additional educational resources for dietary management care received, and for any queries to be addressed by dietitian via social media platform from baseline to one-month follow-up visit.
Usual care
Usual care provided by a diabetes nurse educator and dietitian.

Locations

Country Name City State
n/a

Sponsors (2)

Lead Sponsor Collaborator
KK Women's and Children's Hospital Singapore Institute of Technology

References & Publications (4)

Hewage S, Audimulam J, Sullivan E, Chi C, Yew TW, Yoong J. Barriers to Gestational Diabetes Management and Preferred Interventions for Women With Gestational Diabetes in Singapore: Mixed Methods Study. JMIR Form Res. 2020 Jun 30;4(6):e14486. doi: 10.2196/14486. — View Citation

Leblalta B, Kebaili H, Sim R, Lee SWH. Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials. PLOS Digit Health. 2022 Feb 24;1(2):e0000015. doi: 10.1371/journal.pdig.0000015. eCollection 2022 Feb. — View Citation

Nguyen CL, Pham NM, Binns CW, Duong DV, Lee AH. Prevalence of Gestational Diabetes Mellitus in Eastern and Southeastern Asia: A Systematic Review and Meta-Analysis. J Diabetes Res. 2018 Feb 20;2018:6536974. doi: 10.1155/2018/6536974. eCollection 2018. — View Citation

Yew TW, Chi C, Chan SY, van Dam RM, Whitton C, Lim CS, Foong PS, Fransisca W, Teoh CL, Chen J, Ho-Lim ST, Lim SL, Ong KW, Ong PH, Tai BC, Tai ES. A Randomized Controlled Trial to Evaluate the Effects of a Smartphone Application-Based Lifestyle Coaching Program on Gestational Weight Gain, Glycemic Control, and Maternal and Neonatal Outcomes in Women With Gestational Diabetes Mellitus: The SMART-GDM Study. Diabetes Care. 2021 Feb;44(2):456-463. doi: 10.2337/dc20-1216. Epub 2020 Nov 12. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Other Confidence levels Assessed by a 5-point Likert-type scale, ranging from 1 (completely disagree) to 5 (completely agree). A higher score indicates a higher confidence level. At the end of one month from baseline visit
Other Meal skipping Assessed by frequency of breakfast, lunch and dinner skipping a week At the end of one month from baseline visit
Other Proportion of participants with cigarette smoking Assessed by active and passive smoking exposure, yes/no At the end of one month from baseline visit
Other Proportion of participants with alcohol intake Assessed by current alcohol consumption, yes/no At the end of one month from baseline visit
Other Gestational weight gain rate Weight gain per week, in kg/week Throughout intervention period until delivery timepoint
Other Proportion of participants with inappropriate weight gain Defined by Institution of Medicine guideline for gestational weight gain Throughout intervention period until delivery timepoint
Other Motivational levels Assessed by a 5-point Likert-type scale, ranging from 1 (lowest) to 5 (highest). At the end of one month from baseline visit
Other Proportion of participants with induced labour Based on onset of labour, retrieved from medical records At birth
Other Proportion of participants with caesarean delivery Based on mode of delivery, retrieved from medical records At birth
Other Birth weight Retrieved from medical records, in gram At birth
Other Birth length Retrieved from medical records, in cm At birth
Other Head circumference Retrieved from medical records, in cm At birth
Other Birth size-for-gestational age Defined by percentile values, adjusted for gestational age at birth and sex At birth
Other Gestational length at birth Retrieved from medical records, in weeks At birth
Other Proportion of participants with preterm delivery Defined by gestational weeks at birth <37 weeks At birth
Other Neonatal apgar score Retrieved from medical records, ranging from 0 (lowest) to 10 (highest). The higher the better. At birth
Other Proportion of participants delivering healthy live birth Retrieved from medical records At birth
Primary Acceptance levels Assessed by a 5-point Likert-type scale, ranging from 1 (completely disagree) to 5 (completely agree). A higher score indicates a higher acceptance level. At the end of one month from baseline visit
Primary Satisfaction levels Assessed by a 5-point Likert-type scale, ranging from 1 (completely disagree) to 5 (completely agree). A higher score indicates a higher satisfaction level. At the end of one month from baseline visit
Secondary Engagement levels Assessed by frequency of interactions with the platform moderator and frequency of platform visits among women in the intervention group At the end of one month from baseline visit
Secondary Appropriateness levels Assessed by a 5-point Likert-type scale, ranging from 1 (completely disagree) to 5 (completely agree). A higher score indicates a greater appropriateness level. At the end of one month from baseline visit
Secondary Feasibility levels Assessed by a 5-point Likert-type scale, ranging from 1 (completely disagree) to 5 (completely agree). A higher score indicates a higher feasibility level. At the end of one month from baseline visit
Secondary Emotional wellbeing Assessed by the Perceived Stress Scale on a 5-point Likert-type scale, ranging from 0 (never) to 4 (very often). A higher score indicates a higher perceived stress level. At the end of one month from baseline visit
Secondary Blood glucose levels Assessed by finger prick tests, in mmol/L At the end of one month from baseline visit
Secondary Proportion of participants with optimal blood glucose control Based on recommended pre-meal range of 4.4-5.5 mmol/L and 2h post-meal range of 5.5-6.6 mmol/L At the end of one month from baseline visit
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