| CTRI Number |
CTRI/2025/10/096604 [Registered on: 29/10/2025] Trial Registered Prospectively |
| Last Modified On: |
28/10/2025 |
| Post Graduate Thesis |
Yes |
| Type of Trial |
Interventional |
|
Type of Study
|
Other (Specify) [Giving mothers m-Health application ] |
| Study Design |
Randomized, Parallel Group Trial |
|
Public Title of Study
|
Effectiveness mHealth application on mothers knowledge, satisfaction on home based newborn care and growth, development of neonates after discharge from NICU. |
|
Scientific Title of Study
|
Effectiveness of m-Health application "Sishu Suraksha" on maternal knowledge, satisfaction with home care practices and clinical outcomes, growth and development of high-risk neonates following NICU discharge from a selected tertiary care hospital: A randomized controlled trial |
| Trial Acronym |
|
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Secondary IDs if Any
|
| Secondary ID |
Identifier |
| NIL |
NIL |
|
|
Details of Principal Investigator or overall Trial Coordinator (multi-center study)
|
| Name |
Manisha Praharaj |
| Designation |
Assistant Professor |
| Affiliation |
SOA deemed to be university |
| Address |
vipul garden appartment, tower- 8, 701. Ghatikia, Bhubneswar, Khordha SUM Nursing College
campus 2, Ghatikia, Bhubneswar, Khordha
Pin - 751003 Khordha ORISSA 751003 India |
| Phone |
9937463998 |
| Fax |
|
| Email |
manishapraharaj21486@gmail.com |
|
Details of Contact Person Scientific Query
|
| Name |
Pravati Tripathy |
| Designation |
Director |
| Affiliation |
SOA deemed to be university |
| Address |
SUM Nursing College
campus 2, Ghatikia, Bhubneswar, Khordha
Pin - 751003
Khordha ORISSA 751003 India |
| Phone |
9437035927 |
| Fax |
|
| Email |
pravati.tripathy@gmail.com |
|
Details of Contact Person Public Query
|
| Name |
Manisha Praharaj |
| Designation |
Assistant Professor |
| Affiliation |
SOA deemed to be university |
| Address |
vipul garden appartment, tower- 8, 701. Ghatikia, Bhubneswar, Khordha SUM Nursing College
campus 2, Ghatikia, Bhubneswar, Khordha
Pin - 751003 Khordha ORISSA 751003 India |
| Phone |
9937463998 |
| Fax |
|
| Email |
manishapraharaj21486@gmail.com |
|
|
Source of Monetary or Material Support
|
| Siksha O Anusandhan University
campus - 2, Ghatikia, Kalinga Nagar
Bhubneswar, Khurdha
Pin - 751003
Odisha, India |
|
|
Primary Sponsor
|
| Name |
Siksha O Anusandhan University |
| Address |
Siksha O Anusandhan University
Campus 2, Ghatikia, Bhubaneswar
Odisha, Pin - 751003, India |
| Type of Sponsor |
Research institution and hospital |
|
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Details of Secondary Sponsor
|
|
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Countries of Recruitment
|
India |
|
Sites of Study
|
| No of Sites = 1 |
| Name of Principal
Investigator |
Name of Site |
Site Address |
Phone/Fax/Email |
| Dr Debasish Nanda |
IMS & SUM Hospital |
IMS & SUM Hospital
Ghatikia, Bhubaneswar, pin - 751003 Khordha ORISSA |
9861422685
dedasishnanda@soa.ac.in |
|
|
Details of Ethics Committee
|
| No of Ethics Committees= 1 |
| Name of Committee |
Approval Status |
| Institute of medical sciences (IMS) and SUM Hospital |
Approved |
|
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Regulatory Clearance Status from DCGI
|
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Health Condition / Problems Studied
|
| Health Type |
Condition |
| Healthy Human Volunteers |
Mothers of neonates discharged from NICU and willing to use mobile app. |
|
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Intervention / Comparator Agent
|
| Type |
Name |
Details |
| Comparator Agent |
Educational material (information booklet) |
The control group:
The control group will receive the standard post-discharge care through follow-up visits to the pediatrician and educational materials (information booklet) but will not use the m-Health app. The mothers will be given health education regarding newborn care at home before discharge and post test will be conducted during follow up visits. |
| Intervention |
m-Health app "Sishu Surakhya" |
Intervention group:
All the mothers for high risk neonates discharge from NICU will be selected and randomised by computer generated numbers.
The intervention group will receive the mHealth app “Sishu Surakhya”. The app will provide real-time educational content, video tutorials, and reminders about neonatal care, including feeding, hygiene, and developmental milestones. Mothers will be given health education regarding newborn care at home before discharge and app will be installed in their phone. training will be given to mothers how to use there app. the post test will be conducted during follow up visit. |
|
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Inclusion Criteria
|
| Age From |
20.00 Year(s) |
| Age To |
40.00 Year(s) |
| Gender |
Female |
| Details |
For Neonates:
High-risk neonates (Preterm infants and low birth weight infants) admitted to the NICU of a tertiary care hospital will be taken once they are hemodynamically stable and ready for discharge.
For mothers:
Mothers of high-risk neonates who have been discharged from NICU and are willing to give consent
|
|
| ExclusionCriteria |
| Details |
For mothers
Mothers who cannot read and speak English or the local language, Odia.
Mothers who do not have smartphones
Mothers who are critically ill and cannot take care of their neonates.
For Neonates:
All term neonates
All high risk neonates who can not be managed at home
|
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Method of Generating Random Sequence
|
Computer generated randomization |
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Method of Concealment
|
Sequentially numbered, sealed, opaque envelopes |
|
Blinding/Masking
|
Not Applicable |
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Primary Outcome
|
| Outcome |
TimePoints |
| Maternal knowledge, satisfaction, neonatal clinical outcomes, growth and development |
one month, 3 months and 5 months |
|
|
Secondary Outcome
|
| Outcome |
TimePoints |
| Breast feeding rate, Kangaroo mother care/day, diaper change and sleep pattern of neonates |
one month, 3 months and 5 months |
|
|
Target Sample Size
|
Total Sample Size="120" Sample Size from India="120"
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)
|
01/12/2025 |
| 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="0" Days="0" |
|
Recruitment Status of Trial (Global)
|
Not Applicable |
| 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
|
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Brief Summary
|
mHealth intervention is a web-based application for healthcare services in remote areas through interaction with healthcare professionals by enriching the network with the mothers and healthcare providers. Through the app, mothers of high-risk neonates will be empowered to care for their high-risk neonates at home after discharge from the NICU. The app will have a simple interface that will be easy to navigate. This app will help in monitoring neonate’s growth and development, health status after discharge from the hospital, immunization status, facilitating early recognition of danger signs and prompt referral, health information on breastfeeding, expression of breast milk and feeding, kangaroo mother care, hygiene practices including bath, massage and diaper care, complementary feeding, diaper change/day. All mothers of high-risk neonates will be selected, and Randomization will be done by using computer-generated sequences. The participants will be assigned to the experimental and control groups by sequentially numbered, opaque, sealed envelopes (SNOSE method) for allocation concealment. The pre-test will be conducted the day before discharge, and mothers will be given health education regarding home care practices for high-risk neonates using appropriate audio-visual aids. The app will be installed on the participant’s mobile, and detailed instructions on the use and benefits of the app will be given to the participants. The post-test will be conducted at one month, 3 months, and 5 months after discharge. Data will be analyzed by using specific tests like repeated-measure ANOVA, mean, and SD. |