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CompletedNCT02037087SMSUpdated Apr 7, 2016

The Impact of Prenatal Short Messages (SMS) on Maternal and Newborn Health

An interventional study of Good household prenatal practice and Care seeking in Short Message Service and Text Messaging, sponsored by Harvard School of Public Health (HSPH). Completed at 1 site in China. Open to female participants aged 18 Years to 45 Years. Per ClinicalTrials.gov, last updated 2016-04-07.

Sponsored by Harvard School of Public Health (HSPH) · Not applicable and Interventional

Phase
Not applicable
Study type
Interventional
Enrollment
4,467
Allocation
Randomized
Ages
18 Years to 45 Years
Sex
Female
01

Study summary

It is hypothesized that delivering short messages (SMS) to pregnant women can improve maternal and newborn health outcomes. This pilot offers mothers-to-be in rural China free daily short messages (SMS) via cell phone. The aim is to advise them on (a) good household prenatal practices (GHPP) and (b) care seeking (CS) in order to improve the quality of life for mothers and newborns.

Read the detailed description

Factorial quasi-randomization is utilized to compare two groups of interventions (i.e., GHPP and CS) as well as to compare these individual interventions with a combination of the interventions. It is also possible that distinct treatments have interaction effects, and we plan to test for this. Policymakers are interested in using different strategies to enhance neonatal health. For example, the bank of SMS developed by our team is a combination of several components: reminders for regular checkups, information on GHPP, and information on CS. From a policy perspective, the evaluation of the full bank of SMS may be sufficient for the government to decide whether or not to scale up the full bank of SMS. However, to understand maternal behavior and, for policy purposes, to understand which components in the bank of SMS should be scaled up, it is important to disentangle which component contributes most to final neonatal health. Taken together, are all the components of the bank of SMS effective in changing maternal behavior and enhancing neonatal health? Which mechanisms are at play, good household prenatal care, care seeking in pregnancy, or both?

02

Conditions studied

  • Short Message Service
  • Text Messaging

Keywords

  • Short Message Service
  • newborn health
  • maternal behavior
  • good household pregnancy practice
  • care seeking
03

In context

Lead sponsor

Harvard School of Public Health (HSPH) is the lead sponsor of 150 studies on the registry; 9 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 45 Years
Sexes eligible
Female
Accepts healthy volunteers
No

Eligibility criteria

There were two inclusion criteria: Local pregnant women must 1) own a cell phone in the household, and 2) visit a MCHC for antenatal care during pregnancy.

05

Study design

Phase
Not applicable
Allocation
Randomized
Intervention model
Factorial assignment
Masking
Single (Participant)
Enrollment
4,467 participants (actual)

Study arms

  • 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.

    Behavioral: Good household prenatal practice

  • 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.

    Behavioral: Care seeking

  • Experimental
    Full bank of SMS

    This arm receives the SMS messages delivered to the GHPP, CS and control group.

    Behavioral: Full bank of SMS

  • No intervention
    Control

    Control group receives SMS messages regarding: * Reminders of prenatal visits and certified skilled attendance of labor (status quo); * Fetal development in different gestational stages. The three experimental groups receive the control messages as well.

Interventions

  • BehavioralGood household prenatal practice

    Knowledge on nutrition, labor, non-medical pain management, breastfeeding and depression

  • BehavioralCare seeking

    * Danger-sign recognition * Reminders for government projects

  • BehavioralFull bank of SMS

    * Danger-sign recognition * Reminders for government projects * Knowledge on nutrition, labor, non-medical pain management, breastfeeding and depression

06

What researchers measure

Primary outcomes

  1. Newborn health

    Newborn health is measured by appropriateness of weight for gestational age.

    Time frame: the first month after birth

Secondary outcomes

  1. Neonatal Adverse Outcome Indicator (NAOI)

    The NAOI focuses on measuring severe neonatal morbidity.

    Time frame: the first month after birth

  2. Actual number of prenatal visits over expected visits

    Time frame: In the duration of pregnancy, an expected average of 9 months

  3. Uptake of government-subsidized programs

    This outcome is measured by the following metrics: 1. Duration of folic acid 2. Uptake of infant vaccinations

    Time frame: In the duration of pregnancy, an expected average of 9 months, and 1 month after birth

  4. C-section rate

    Time frame: child birth

  5. Maternal health

    Maternal health is measured by change of perception in general health and postpartum depression.

    Time frame: Child birth and 1 year after birth

  6. Near-miss

    The near-miss focuses on measuring severe maternal morbidity.

    Time frame: In the duration of pregnancy, an expected average of 9 months, and childbirth

  7. Psychological outcomes

    Attitudes, personal norms, self-efficacy, social desirability, intentions, plans, susceptibility, expectations, and severity

    Time frame: In the duration of pregnancy, an expected average of 9 months

07

Study locations

1 site
  • Xi'an Jiaotong University
    Xi'an, Shaanxi 710049, China
08

References and documents

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. PubMed 33141099 ↗
  • 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. PubMed 27515750 ↗
09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 7, 2016, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT02037087
Lead sponsor
Harvard School of Public Health (HSPH)
Collaborators
Xi'an Jiaotong University
Responsible party
Yanfang Su (ScD, Harvard School of Public Health (HSPH)) — Principal investigator
First posted
Jan 15, 2014
Start date
Sep 2013
Primary completion
Oct 2015
Completion
Mar 2016
Last update
Apr 7, 2016

Study contacts

Yanfang Su, MA
principal investigator · Harvard School of Public Health (HSPH)
Zhongliang Zhou, PhD
principal investigator · Xi'an Jiaotong University
Changzheng Yuan, MS
principal investigator · Harvard School of Public Health (HSPH)
Jesse Heitner, MPP
principal investigator · Harvard School of Public Health (HSPH)
Benjamin Campbell, BA
principal investigator · Dartmouth College

Oversight

Data monitoring committee
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Apr 2016. You cannot join it, but the record below documents what was studied.

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