The Impact of Prenatal Short Messages (SMS) on Maternal and Newborn Health (SMS)
The Impact of Prenatal Short Messages on Maternal and Newborn Health
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
Shaanxi
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Xi'an, Shaanxi, China, 710049
- Xi'an Jiaotong University
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Study Plan
How is the study designed?
Design Details
- Allocation: Randomized
- Interventional Model: Factorial Assignment
- Masking: Single
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Good household prenatal practice (GHPP)
The GHPP arm receives SMS messages regarding knowledge on nutrition, labor, non-medical pain management, breastfeeding, and depression.
This arm also receives messages delivered to the control group.
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Knowledge on nutrition, labor, non-medical pain management, breastfeeding and depression
|
|
Experimental: Care seeking (CS)
The CS arm receives SMS messages which include danger-sign recognition and reminders for government-subsidized projects.
This arm also receives messages delivered to the control group.
|
|
|
Experimental: Full bank of SMS
This arm receives the SMS messages delivered to the GHPP, CS and control group.
|
|
|
No Intervention: Control
Control group receives SMS messages regarding:
The three experimental groups receive the control messages as well. |
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Newborn health
Time Frame: the first month after birth
|
Newborn health is measured by appropriateness of weight for gestational age.
|
the first month after birth
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Neonatal Adverse Outcome Indicator (NAOI)
Time Frame: the first month after birth
|
The NAOI focuses on measuring severe neonatal morbidity.
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the first month after birth
|
|
Actual number of prenatal visits over expected visits
Time Frame: In the duration of pregnancy, an expected average of 9 months
|
In the duration of pregnancy, an expected average of 9 months
|
|
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Uptake of government-subsidized programs
Time Frame: In the duration of pregnancy, an expected average of 9 months, and 1 month after birth
|
This outcome is measured by the following metrics:
|
In the duration of pregnancy, an expected average of 9 months, and 1 month after birth
|
|
C-section rate
Time Frame: child birth
|
child birth
|
|
|
Maternal health
Time Frame: Child birth and 1 year after birth
|
Maternal health is measured by change of perception in general health and postpartum depression.
|
Child birth and 1 year after birth
|
|
Near-miss
Time Frame: In the duration of pregnancy, an expected average of 9 months, and childbirth
|
The near-miss focuses on measuring severe maternal morbidity.
|
In the duration of pregnancy, an expected average of 9 months, and childbirth
|
|
Psychological outcomes
Time Frame: In the duration of pregnancy, an expected average of 9 months
|
Attitudes, personal norms, self-efficacy, social desirability, intentions, plans, susceptibility, expectations, and severity
|
In the duration of pregnancy, an expected average of 9 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Yanfang Su, MA, Harvard School of Public Health (HSPH)
- Principal Investigator: Zhongliang Zhou, PhD, Health Science Center of Xi'an Jiaotong University
- Principal Investigator: Changzheng Yuan, MS, Harvard School of Public Health (HSPH)
- Principal Investigator: Jesse Heitner, MPP, Harvard School of Public Health (HSPH)
- Principal Investigator: Benjamin Campbell, BA, Dartmouth College
Publications and helpful links
General Publications
- Su Y, Heitner J, Yuan C, Si Y, Wang D, Zhou Z, Zhou Z. Effect of a Text Messaging-Based Educational Intervention on Cesarean Section Rates Among Pregnant Women in China: Quasirandomized Controlled Trial. JMIR Mhealth Uhealth. 2020 Nov 3;8(11):e19953. doi: 10.2196/19953.
- Su Y, Yuan C, Zhou Z, Heitner J, Campbell B. Impact of an SMS advice programme on maternal and newborn health in rural China: study protocol for a quasi-randomised controlled trial. BMJ Open. 2016 Aug 10;6(8):e011016. doi: 10.1136/bmjopen-2015-011016.
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Other Study ID Numbers
Other Study ID Numbers
- newborn2013
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