NCT05377151

Brief Summary

Gestational weight gain (GWG), weight gain of a mother during pregnancy, is an important determinant that influence the health outcomes of mothers and fetus. There is an increasing trend of pregnant women using mobile health (mHealth) to assess for pregnancy-related health information. While evidence on the effectiveness of mHealth education on improving pregnancy outcomes among pregnant women is growing, the findings had been inconclusive with scarcity of such data in Malaysia. The objective of the study is to determine the effectiveness of a 9-month mHealth intervention on GWG and other outcomes (prenatal knowledge, physical activity, psychosocial well-being, nutritional status, quality of life and sleep quality) among pregnant women.

Trial Health

43
At Risk

Trial Health Score

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

Trial has exceeded expected completion date
Enrollment
294

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Apr 2023

Geographic Reach
1 country

3 active sites

Status
unknown

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

First Submitted

Initial submission to the registry

April 24, 2022

Completed
23 days until next milestone

First Posted

Study publicly available on registry

May 17, 2022

Completed
11 months until next milestone

Study Start

First participant enrolled

April 1, 2023

Completed
6 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 30, 2023

Completed
9 months until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2024

Completed
Last Updated

September 15, 2023

Status Verified

September 1, 2023

Enrollment Period

6 months

First QC Date

April 24, 2022

Last Update Submit

September 13, 2023

Conditions

Keywords

Pregnant motherMobile health (mHealth)Nutrition and dietGestational Weight GainQuality of LifePregnancy outcomes

Outcome Measures

Primary Outcomes (1)

  • Changes in Gestational Weight Gain

    Weight gain (kg)

    3 points time (Baseline, 6th month, 9th month/ delivery)

Secondary Outcomes (16)

  • Prenatal knowledge

    1 point1 time (Baseline)

  • Physical activity

    2 points time (Baseline, 6th month)

  • Psychosocial well-being

    3 points time (Baseline, 6th month, 9th month/ delivery)

  • Nutritional status

    3 points time (Baseline, 6th month, 9th month/ delivery)

  • Quality of life (well being)

    3 points time (Baseline, 6th month, 9th month/ delivery)

  • +11 more secondary outcomes

Study Arms (3)

mobile application (mHealth) intervention only

EXPERIMENTAL

\- the subjects will receive mobile application (mHealth) intervention only

Other: Mobile application

mobile application (mHealth) intervention and dietitian consultation

EXPERIMENTAL

\- the subjects will receive the information from both mobile application (mHealth) and dietitian consultation

Other: Mobile application

standard usual care- dietitian consultation

NO INTERVENTION

\- the subjects will receive all the related information from the standard usual care- dietitian consultation

Interventions

Nutrition intervention using either mHealth interventions or conventional methods will be carried out among pregnant women). Subjects will be allocated into three groups, namely, two interventions group which are: Group 1: mHealth intervention group (98 subjects) Group 2: mHealth intervention group + dietitian consultation (98 subjects) Group 3: control group (98 subjects)

mobile application (mHealth) intervention and dietitian consultationmobile application (mHealth) intervention only

Eligibility Criteria

Age18 Years - 40 Years
Sexfemale
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Malaysian women
  • years old
  • Single pregnancy
  • At first trimester or second trimester
  • All ethnicities
  • Meet or did not meet with dietitian before
  • With or without diseases (diabetes mellitus with/ without low dose insulin, hypertension, hyperlipidaemia, overweight/ obese)
  • Own smart phone with internet access
  • All BMI categories

You may not qualify if:

  • Diagnosed by medical doctor with major psychiatric problems (bipolar depression, schizophrenia, suicidal risk)
  • Multiple pregnancies
  • On other intervention program
  • Grand multipara
  • Severe comorbidities (cardiac diseases, severe anaemia)
  • Type 1 diabetes mellitus or Type 2 diabetes mellitus with high dose insulin

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

Seri Kembangan Health Clinic

Seri Kembangan, Selangor, 43300, Malaysia

RECRUITING

Presint 18 Health Clinic

Putrajaya, Malaysia

RECRUITING

Presint 9 Health Clinic

Putrajaya, Malaysia

RECRUITING

Related Publications (1)

  • Er YT, Chan YM, Mohd Shariff Z, Abdul Hamid H, Mat Daud Z', Yong HY. Dietitian-led cluster randomised controlled trial on the effectiveness of mHealth education on health outcomes among pregnant women: a protocol paper. BMJ Open. 2023 Nov 20;13(11):e075937. doi: 10.1136/bmjopen-2023-075937.

MeSH Terms

Conditions

Gestational Weight Gain

Condition Hierarchy (Ancestors)

Weight GainBody Weight ChangesBody WeightSigns and SymptomsPathological Conditions, Signs and Symptoms

Study Officials

  • Yoke Mun Chan

    Universiti Putra Malaysia

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Yoke Mun Chan

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
SUPPORTIVE CARE
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

April 24, 2022

First Posted

May 17, 2022

Study Start

April 1, 2023

Primary Completion

September 30, 2023

Study Completion

June 30, 2024

Last Updated

September 15, 2023

Record last verified: 2023-09

Data Sharing

IPD Sharing
Will not share

Locations