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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Oct 12, 2024
Date Accepted: Jul 9, 2025

The final, peer-reviewed published version of this preprint can be found here:

Monitoring of Pregnant Women Using the “Risk Identification, Evaluation Counseling, Systematic Monitoring, Troubleshooting” (REST) Mobile App: Protocol for a Cluster Randomized Controlled Trial

Pangestuti R, Ratrikaningtyas PD, Sutomo AH

Monitoring of Pregnant Women Using the “Risk Identification, Evaluation Counseling, Systematic Monitoring, Troubleshooting” (REST) Mobile App: Protocol for a Cluster Randomized Controlled Trial

JMIR Res Protoc 2025;14:e66774

DOI: 10.2196/66774

PMID: 40768267

PMCID: 12368465

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Monitoring of Pregnant Women Using Mobile Application REST (Risk identification, Evaluation counseling, Systematic monitoring, Troubleshooting): Protocol for Cluster Randomized Controlled Trial

  • Restu Pangestuti; 
  • Prima Dhewi Ratrikaningtyas; 
  • Adi Heru Sutomo

ABSTRACT

Background:

The Maternal Mortality Rate (MMR) in Indonesia is still quite high and has not reached the national target. In 2021, maternal mortality in Central Java province reached 199 per 100,000 live births (1,011 cases), an increase compared to 2020 of 98.6 per 100,000 live births (530 cases). The success of maternal health programs can be assessed through the main indicator of the Maternal Mortality Rate. Pregnancy monitoring is one of the efforts to reduce the increase in maternal mortality rates.

Objective:

Improving maternal and child safety and health during pregnancy and childbirth through pregnancy monitoring using mobile applications.

Methods:

The research design uses the Cluster Randomized Controlled Trial design, involving pregnant women in 11 sub-districts in Purworejo which are divided into 11 clusters in the intervention group and 11 clusters in the control group. The intervention group received monitoring using a mobile app while the control group received standard pregnancy monitoring in the Pregnant Women Class. The mentoring program includes the use of a REST mobile application (Risk identification, Evaluation counseling, Systematic monitoring, Troubleshooting) which consists of 10T pregnancy checks. The application is used by midwives and pregnant women starting from the second trimester of pregnancy to childbirth. The data analysis to be used is the T-test bivariate analysis to determine the relationship between two variables, and the multivariate analysis using logistic regression.

Results:

The expected results of this study are that the use of REST mobile applications for pregnancy monitoring will increase the number of ANC visits, reduce the incidence of complications in pregnant women, normal delivery methods, and the birth weight of the baby more than equal to 2500 grams.

Conclusions:

Pregnancy monitoring using the REST mobile application will have a significant influence on the number of ANC visits, the reduction of pregnancy complications, the improvement of normal delivery methods, and the birth weight of the baby within normal limits. Clinical Trial: ClinicalTrials.gov NCT05741931.


 Citation

Please cite as:

Pangestuti R, Ratrikaningtyas PD, Sutomo AH

Monitoring of Pregnant Women Using the “Risk Identification, Evaluation Counseling, Systematic Monitoring, Troubleshooting” (REST) Mobile App: Protocol for a Cluster Randomized Controlled Trial

JMIR Res Protoc 2025;14:e66774

DOI: 10.2196/66774

PMID: 40768267

PMCID: 12368465

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