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CTRI Number  CTRI/2025/06/089593 [Registered on: 26/06/2025] Trial Registered Prospectively
Last Modified On: 24/06/2025
Post Graduate Thesis  Yes 
Type of Trial  Interventional 
Type of Study   Behavioral 
Study Design  Randomized, Parallel Group Trial 
Public Title of Study   A study to improve the pregnancy outcome using moblie technology 
Scientific Title of Study   Improving antenatal care with mhealth A randomized controlled trial in northeast India 
Trial Acronym  NIL 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Lothunglo Ezung 
Designation  Junior resident 
Affiliation  AIIMS, Guwahati 
Address  Department of Obstetrics and Gynaecology, Ground floor, AIIMS Guwahati, Changsari, Assam

Kamrup
ASSAM
781101
India 
Phone  7005773408  
Fax    
Email  ezunglolo15@gmail.com  
 
Details of Contact Person
Scientific Query
 
Name  dr HIMANGSHU MALAKAR 
Designation  associate professor 
Affiliation  AIIMS, Guwahati 
Address  Department of Obstetrics and Gynaecology, Ground floor, AIIMS Guwahati, Changsari, Assam

Kamrup
ASSAM
781101
India 
Phone  9854609022  
Fax    
Email  himangshumalakar@aiimsguwahti.ac.in  
 
Details of Contact Person
Public Query
 
Name  Lothunglo Ezung 
Designation  Junior resident 
Affiliation  AIIMS, Guwahati 
Address  Department of Obstetrics and Gynaecology, Ground floor, AIIMS Guwahati, Changsari, Assam


ASSAM
781101
India 
Phone  7005773408  
Fax    
Email  ezunglolo15@gmail.com  
 
Source of Monetary or Material Support  
NIL 
 
Primary Sponsor  
Name  Lothunglo Ezung 
Address  Department of Obstetrics and Gynaecology, Ground floor, AIIMS Guwahati, Changsari, Assam. 
Type of Sponsor  Other [Self ] 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Lothunglo Ezung  AIIMS Guwahati  Department of Obstetrics and Gynaecology, Ground floor, AIIMS Guwahati, Changsari, Assam.
Kamrup
ASSAM 
7005773408

ezunglolo15@gmail.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Intitutional Ethics Committee, AIIMS Guwahati  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: O94-O9A||Other obstetric conditions, not elsewhere classified,  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  STANDARD ANTENATAL CARE  Comparing antenatal outcomes between antenatal women using the swasthgarbh app with antenatal care versus patients receiving only standard care. Edit || Delete  
Comparator Agent  Swasthgarbh app  Comparing antenatal outcomes between antenatal women using the swasthgarbh app with antenatal care versus patients receiving only standard care.  
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  40.00 Year(s)
Gender  Female 
Details  1IMPROVED ANTENATAL CARE COMPLIANCE -BETTER ADHERENCE TI ANTENATAL CHECKUPTESTS AND SUPPLEMENTS
2IMPROVED HAEMOGLOBIN LEVEL
3EARLIER DETECTION OF PREGNANCY COMPLICATIONS
4TO ASSESS COMPLIANCE TO TIMELY SUPPLEMENY=TS INTAKE AND LABORATORY INVESTIGATIONS
 
 
ExclusionCriteria 
Details  Women with comorbidities like chronic diseases. 
 
Method of Generating Random Sequence   Random Number Table 
Method of Concealment   An Open list of random numbers 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
1. Improved antenatal care compliance - better adherence to antenatal checkup, tests and supplements.
2. Improved hemoglobin level.
3. Earlier detection of pregnancy complications.
4. To assess compliance to timely supplement intake and laboratory investigations. 
Participants will be recruited from the first six months of study period till the target sample size is reached and they will be followed up till delivery 
 
Secondary Outcome  
Outcome  TimePoints 
1. Improved maternal knowledge and awareness after app usage.
2. Better pregnancy experience and improved patient satisfaction. 
Participants will be recruited from the first six months of study period till the target sample size is reached and they will be followed up till delivery 
 
Target Sample Size   Total Sample Size="190"
Sample Size from India="190" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   08/07/2025 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="1"
Months="6"
Days="0" 
Recruitment Status of Trial (Global)   Not Yet Recruiting 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary   This randomized controlled trial evaluates the impact of the SwasthGarbh mobile application on antenatal care among pregnant women in Northeast India. Conducted at AIIMS Guwahati, the study includes 190 participants, randomly divided into intervention and control groups. Women in the intervention group received standard antenatal care along with access to the SwasthGarbh app, while the control group received only standard care. The app provides features like appointment reminders, educational content, symptom tracking, and guidance on investigations and supplement intake. The study aims to improve maternal hemoglobin levels, antenatal visit compliance, and reduce obstetric and medical complications. It also seeks to enhance maternal knowledge and satisfaction with care. Participants will be recruited  from the first trimester and followed out the through delivery. The study targets the underserved tribal population, aiming to bridge the digital health gap and promote evidence-based maternal care. Findings are expected to support the wider use of mHealth tools to strengthen maternal health services in low-resource settings. 
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