Pregnant WomenNCT05377151
Effectiveness of mHealth Education on Health Outcomes Among Pregnant Women
A study testing Mobile application in people with Pregnant Women, run by Universiti Putra Malaysia at 3 sites in Malaysia.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 to 40 years, women onlyHealthy volunteers can take part
- Conditions the study is for
- Pregnant Women
- What is being tested?
- Mobile application
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 294 participants
- Where
- 3 sitesMalaysia
- Study dates
- 1 Apr 2023to 30 Jun 2024
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 40 years
- Women only
- Healthy volunteers accepted
- Adult
Who may be able to join
- Malaysian women
- 18 - 40 years old
- Single pregnancy
- At first trimester or second trimester
- All ethnicities
- Meet or did not meet with dietitian before
Show all 9Show fewer
- With or without diseases (diabetes mellitus with/ without low dose insulin, hypertension, hyperlipidaemia, overweight/ obese)
- Own smart phone with internet access
- All BMI categories
Who cannot join
- 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
Trial locations and contacts
3 sites in 1 country.
Malaysia3 sites, 3 recruiting
- Recruiting
Presint 18 Health Clinic
Putrajaya
Ying Ting Er
yingtinger@gmail.com
- Recruiting
Presint 9 Health Clinic
Putrajaya
Ying Ting Er, yingtinger@gmai.com
- Recruiting
Seri Kembangan Health Clinic
Seri Kembangan, Selangor, 43300
Ying Ting Er, yingtinger@gmail.com
About this study
Official title: A Dietitian-led Cluster Randomised Controlled Trial on the Effectiveness of mHealth Education on Health Outcomes Among Pregnant Women
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.
Read the detailed description
This study will evaluate the usability, feasibility and practicality of a previously developed smartphone application with complete alpha and beta testing on pregnancy outcomes in a cluster randomised control trial (RCT).
The study will be completed by involving the nutrition intervention using either mHealth interventions or conventional methods that will be carried out among pregnancy women.
Subjects will be allocated into groups according to respective health clinics, namely, two interventions group which are:
Group 1: mHealth intervention group
Group 2: mHealth intervention group + dietitian consultation
Group 3: control group
which total of 294 eligible subjects will be recruited, with 98 subjects are needed in respective groups.
This is a cluster-randomised controlled trial. For Malaysia consist of two regions which are East Malaysia and West (or peninsular) Malaysia and they are actually about 400 miles (640 km) apart. At East Malaysia, we targeted on the area with higher density of population which are Klang Valley (Kuala Lumpur, Selangor and Putrajaya). As shown in Figure 1, for three states under Klang Valley, we obtained ethics approval from the Jabatan Kesihatan Negeri Selangor for Selangor state and Jabatan Kesihatan Wilayah Persekutuan Kuala Lumpur dan Putrajaya for Putrajaya state. In order to prevent cross contamination between the states, we use simple random sampling which Selangor been allocated into control group and Putrajaya as intervention group.
As under Putrajaya states only two clinics granted approval for data collection which are Presint 9 Health Clinic and Presint 18 Health Clinic. By using cluster sampling method, Presint 9 Health Clinic was randomised into intervention group 1 which whole cluster participant will be receiving mHealth intervention alone and Presint 18 Health Clinic into intervention group 2 which whole cluster participants will receive mHealth intervention group in addition with personal dietitian consultation.
There are nine districts in Selangor: Gombak, Hulu Langat, Hulu Selangor, Klang, Kuala Langat, Kuala Selangor, Petaling, Sabak Bernam and Sepang which consist of total of 81 health clinics, we stratified the number of health clinics within the 25 km radius from the Faculty of Medicine and Health Sciences, Universiti Putra Malaysia due to the geographical proximity and financial constraints (limited budget). There were total of 15 health clinics after stratification and simple random sampling was done which Seri Kembangan health clinics in Petaling District had been chosen as control group. As this is an intervention study, thus blinding is not applicable for data collection personnel and participants. The health clinics that involved in this study will be maternal and child health clinics.
This study will use a set of questionnaires to obtain information on personal information, anthropometry data, prenatal knowledge, physical activity, psychosocial well-being, dietary intake, quality of life, sleep quality and gestational weight gain of the subjects, based on appropriate instruments. Re-assessment will be performed at month-6 and month-9 (delivery) after baseline measurements. During the re-assessment, the data will be collected again on dietary intake, physical activity, psychosocial well-being, sleep quality and quality of life. All subjects will be followed up prospectively until delivery. The follow up data collection will be matched with the prenatal visit of the pregnant mother to the clinic.
- Conditions
- Pregnant Women
- Being tested
- Mobile application
- Keywords
- Pregnant mother, Mobile health (mHealth), Nutrition and diet, Gestational Weight Gain, Quality of Life, Pregnancy outcomes
- Medical subject headings
- Gestational Weight Gain
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Mobile applicationOther
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)
| Study group | Role | What they receive |
|---|---|---|
| mobile application (mHealth) intervention only | Experimental | - the subjects will receive mobile application (mHealth) intervention only Receives: 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 Receives: 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 |
What is being measured
The primary outcome is the main question the study is designed to answer.
Changes in Gestational Weight Gain
Weight gain (kg)
Measured: 3 points time (Baseline, 6th month, 9th month/ delivery)
Secondary outcomes (16)
Prenatal knowledge
The maternal health literacy inventory in pregnancy (MHELIP)
MHELIP score to 4 categories: 'inadequate', 'problematic' (which together also define 'limited' health literacy), 'sufficient and 'excellent' (which together also defined 'desired' health literacy):
Inadequate= 0-50 Problematic= 50.1-66 Sufficient= 66.1-84 Excellent=84.1-100
Measured: 1 point1 time (Baseline)
Physical activity
Pregnancy Physical Activity Questionnaire (PPAQ)
The activity was classified by intensity: sedentary (< 1.5 METs), light (1.5- < 3.0 METs), moderate (3.0-6.0 METs) or vigorous (> 6.0 METs) and the average number of MET-hours per week expended in each intensity level was calculated. The higher the score, the more active the subject is.
Measured: 2 points time (Baseline, 6th month)
Psychosocial well-being
Depression Anxiety and Stress Scale (DASS-21)
Scores on the DASS-21 will need to be multiplied by 2 to calculate the final score.
Depression (Normal: 0-9; Mild: 10-13; Moderate: 14-20; Severe: 21-27; Extremely Severe: 28+) Anxiety (Normal: 0-7; Mild: 8-9; Moderate: 10-14; Severe: 15-19; Extremely Severe: 20+) Stress (Normal: 0-14; Mild: 15-18; Moderate: 19-25; Severe: 26-33; Extremely Severe: 34+)
Measured: 3 points time (Baseline, 6th month, 9th month/ delivery)
Nutritional status
24-hour dietary recall (2 weekdays and 1 weekend)
Measured: 3 points time (Baseline, 6th month, 9th month/ delivery)
Quality of life (well being)
WHO 5 item well being index
The raw score is calculated by totalling the figures of the five answers. The raw score ranges from 0 to 25, 0 representing worst possible and 25 representing best possible quality of life.
To obtain a percentage score ranging from 0 to 100, the raw score is multiplied by 4. A percentage score of 0 represents worst possible, whereas a score of 100 represents best possible quality of life.
Measured: 3 points time (Baseline, 6th month, 9th month/ delivery)
Sleep quality
Pittsburgh Sleep Quality Index (PSQI)
In scoring the PSQI, seven component scores are derived, each scored 0 (no difficulty) to 3 (severe difficulty). The component scores are summed to produce a global score (range 0 to 21). Higher scores indicate worse sleep quality.
Measured: 3 points time (Baseline, 6th month, 9th month/ delivery)
Pregnancy outcome (Type of delivery)
Spontaneous vaginal delivery (SVD): Cephalic/ Breech/ Assisted Breech; Instrumental Delivery: Forceps/ Vacuum; Caesarean: Elective/ Emergency/ Lower segment Caesarean section (LSCS)/ Classical
Measured: 1 point time (9th month/ delivery)
Pregnancy outcome (Apgar Score)
@1 minute and @5 minutes (Apgar Score 7-10: Good outcome)
Measured: 1 point time (9th month/ delivery)
Pregnancy outcome (Born term)
Yes / No (_______ week)
Measured: 1 point time (9th month/ delivery)
Pregnancy outcome (Infant weight)
weight (kg)
Measured: 1 point time (9th month/ delivery)
Pregnancy outcome (Infant length)
length (cm)
Measured: 1 point time (9th month/ delivery)
Pregnancy outcome (Infant head circumference)
head circumference (cm)
Measured: 1 point time (9th month/ delivery)
Pregnancy outcome ( Infant breast circumference)
breast circumference (cm)
Measured: 1 point time (9th month/ delivery)
Pregnancy outcome (Infant gender)
Male/ Female
Measured: 1 point time (9th month/ delivery)
Pregnancy outcome (Maternal complications)
Postpartum hemorrhage (PPH)/ Eklampsia / Retained placenta/ Venous thromboembolism (VTE)/ Postpartum depression
Measured: 1 point time (9th month/ delivery)
Pregnancy outcome (Infant complications)
Miscarriage/ Prematurity/ Stillbirth/ Congenital anomalies/ Shoulder dystosia/ Jaundice / Respiratory related / Transient Tacypnoiec of newborn (TTN)/ Pneumonia (lung infection)
Measured: 1 point time (9th month/ delivery)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 May 2022
- Study start1 Apr 2023
- Primary completion30 Sep 2023 (estimated)
- Study completion30 Jun 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (1)Papers the sponsor has linked to this study.
- Other trials for Pregnant WomenStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 294 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Universiti Putra Malaysia
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Chan Yoke Mun, Universiti Putra Malaysia
- Investigators
- Yoke Mun Chan, Principal investigator, Universiti Putra Malaysia
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05377151
- Sponsor's protocol ID
- 03210224
- Status last verified
- Sep 2023
- First submitted
- 24 Apr 2022
- Last updated
- 15 Sep 2023
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
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.
PubMed 37989361
Study at a glance
From the registry record, last updated by the sponsor on 15 Sep 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- A Dietitian-led Cluster Randomised Controlled Trial on the Effectiveness of mHealth Education on Health Outcomes Among Pregnant Women
- ClinicalTrials.gov ID
- NCT05377151
- Acronym / sponsor ID
- 03210224
- Conditions
- Pregnant Women
- Keywords
- Pregnant mother, Mobile health (mHealth), Nutrition and diet, Gestational Weight Gain, Quality of Life, Pregnancy outcomes
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 294 participants (estimated)
- Lead sponsor
- Universiti Putra MalaysiaUniversity, hospital or other
- Study start
- 1 Apr 2023 (actual)
- Primary completion
- 30 Sep 2023 (estimated)
- Study completion
- 30 Jun 2024 (estimated)
- First posted
- 17 May 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
This study will evaluate the usability, feasibility and practicality of a previously developed smartphone application with complete alpha and beta testing on pregnancy outcomes in a cluster randomised control trial (RCT).
The study will be completed by involving the nutrition intervention using either mHealth interventions or conventional methods that will be carried out among pregnancy women.
Subjects will be allocated into groups according to respective health clinics, namely, two interventions group which are:
Group 1: mHealth intervention group
Group 2: mHealth intervention group + dietitian consultation
Group 3: control group
which total of 294 eligible subjects will be recruited, with 98 subjects are needed in respective groups.
This is a cluster-randomised controlled trial. For Malaysia consist of two regions which are East Malaysia and West (or peninsular) Malaysia and they are actually about 400 miles (640 km) apart. At East Malaysia, we targeted on the area with higher density of population which are Klang Valley (Kuala Lumpur, Selangor and Putrajaya). As shown in Figure 1, for three states under Klang Valley, we obtained ethics approval from the Jabatan Kesihatan Negeri Selangor for Selangor state and Jabatan Kesihatan Wilayah Persekutuan Kuala Lumpur dan Putrajaya for Putrajaya state. In order to prevent cross contamination between the states, we use simple random sampling which Selangor been allocated into control group and Putrajaya as intervention group.
As under Putrajaya states only two clinics granted approval for data collection which are Presint 9 Health Clinic and Presint 18 Health Clinic. By using cluster sampling method, Presint 9 Health Clinic was randomised into intervention group 1 which whole cluster participant will be receiving mHealth intervention alone and Presint 18 Health Clinic into intervention group 2 which whole cluster participants will receive mHealth intervention group in addition with personal dietitian consultation.
There are nine districts in Selangor: Gombak, Hulu Langat, Hulu Selangor, Klang, Kuala Langat, Kuala Selangor, Petaling, Sabak Bernam and Sepang which consist of total of 81 health clinics, we stratified the number of health clinics within the 25 km radius from the Faculty of Medicine and Health Sciences, Universiti Putra Malaysia due to the geographical proximity and financial constraints (limited budget). There were total of 15 health clinics after stratification and simple random sampling was done which Seri Kembangan health clinics in Petaling District had been chosen as control group. As this is an intervention study, thus blinding is not applicable for data collection personnel and participants. The health clinics that involved in this study will be maternal and child health clinics.
This study will use a set of questionnaires to obtain information on personal information, anthropometry data, prenatal knowledge, physical activity, psychosocial well-being, dietary intake, quality of life, sleep quality and gestational weight gain of the subjects, based on appropriate instruments. Re-assessment will be performed at month-6 and month-9 (delivery) after baseline measurements. During the re-assessment, the data will be collected again on dietary intake, physical activity, psychosocial well-being, sleep quality and quality of life. All subjects will be followed up prospectively until delivery. The follow up data collection will be matched with the prenatal visit of the pregnant mother to the clinic.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| mobile application (mHealth) intervention only | Experimental | Other: Mobile application- the subjects will receive mobile application (mHealth) intervention only |
| mobile application (mHealth) intervention and dietitian consultation | Experimental | Other: Mobile application- the subjects will receive the information from both mobile application (mHealth) and dietitian consultation |
| standard usual care- dietitian consultation | No intervention | –- the subjects will receive all the related information from the standard usual care- dietitian consultation |
Who may qualify
- Ages
- 18 to 40 years
- Sex
- Female only
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (9 listed)
- Malaysian women
- 18 - 40 years old
- Single pregnancy
- At first trimester or second trimester
- All ethnicities
Key exclusion criteria (6 listed)
- 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)
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Mobile applicationNutrition 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) | Other | mobile application (mHealth) intervention and dietitian consultation, mobile application (mHealth) intervention only |
Primary outcome
Changes in Gestational Weight Gain
Time frame: 3 points time (Baseline, 6th month, 9th month/ delivery)
Weight gain (kg)
16 secondary outcomes
Prenatal knowledge
Time frame: 1 point1 time (Baseline)
Physical activity
Time frame: 2 points time (Baseline, 6th month)
Psychosocial well-being
Time frame: 3 points time (Baseline, 6th month, 9th month/ delivery)
Nutritional status
Time frame: 3 points time (Baseline, 6th month, 9th month/ delivery)
Quality of life (well being)
Time frame: 3 points time (Baseline, 6th month, 9th month/ delivery)
Sleep quality
Time frame: 3 points time (Baseline, 6th month, 9th month/ delivery)
Pregnancy outcome (Type of delivery)
Time frame: 1 point time (9th month/ delivery)
Pregnancy outcome (Apgar Score)
Time frame: 1 point time (9th month/ delivery)
Pregnancy outcome (Born term)
Time frame: 1 point time (9th month/ delivery)
Pregnancy outcome (Infant weight)
Time frame: 1 point time (9th month/ delivery)
Pregnancy outcome (Infant length)
Time frame: 1 point time (9th month/ delivery)
Pregnancy outcome (Infant head circumference)
Time frame: 1 point time (9th month/ delivery)
Pregnancy outcome ( Infant breast circumference)
Time frame: 1 point time (9th month/ delivery)
Pregnancy outcome (Infant gender)
Time frame: 1 point time (9th month/ delivery)
Pregnancy outcome (Maternal complications)
Time frame: 1 point time (9th month/ delivery)
Pregnancy outcome (Infant complications)
Time frame: 1 point time (9th month/ delivery)
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Sep 2023.
- Derived from this study: PubMed 37989361Er 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.
- Individual participant dataSharing planned: No
Related trials for Pregnant Women
Recruiting
Methylation Profiling in Self-Samples for Identification of (Epi)Genetic Biomarkers for Gynecological Cancers
Gynaecological Cancers, Ovarian Cancer
RecruitingPhase 1/2
Study of INBRX-106 and INBRX-106 in Combination With Pembrolizumab (Keytruda®) in Subjects With Locally Advanced or Metastatic Solid Tumors (Hexavalent OX40 Agonist)
Solid Tumor, Non-Small Cell Lung Cancer
RecruitingObservational study
Population Pharmacokinetics of Temocillin in Acute Enterobacterial Pyelonephritis in Children
Pyelonephritis
Active, not recruitingPhase 3
A Study of Belzutifan (MK-6482) in Combination With Lenvatinib Versus Cabozantinib for Treatment of Renal Cell Carcinoma (MK-6482-011)
Carcinoma, Renal Cell
Recruiting
Safety and Performance of UCon Patch Electrode
Urinary Incontinence, Urinary Incontinence, Urge
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Yoke Mun Chan principal investigator
Universiti Putra Malaysia
3 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Mobile application in people with Pregnant Women, run by Universiti Putra Malaysia at 3 sites in Malaysia.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 9 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 15 Sep 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 3 sites in Malaysia. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Yoke Mun Chan (03-97692433, cym@upm.edu.my), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Changes in Gestational Weight Gain (time frame: 3 points time (Baseline, 6th month, 9th month/ delivery)). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05377151, which also lists 1 linked publication.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Sep 2023.