Clinical trial NCT06641479: JiAngSu Maternal and INfant HEalth Database
Official title: JiAngSu Maternal and INfant HEalth Database(JASMINE): Using Electronic Health Records to Improve Maternal and Child Health Care and Outcomes in China
Study type: OBSERVATIONAL
Overall status: ACTIVE_NOT_RECRUITING
Conditions: Pregnant Women
Children
Keywords: Population-based healthcare database
Longitudinal study
Ambispective Cohort
Pregnant women and offspring
Lead sponsor: Nanjing Medical University
Sponsor class: OTHER
Collaborators: name: Ningbo University
First posted: 2024-10-15
Enrollment: 1570360
Sex: ALL
Standard ages: CHILD
ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Pregnant women and their offspring who registered at the Jiangsu maternal and child health information platform.

Brief summary: With the implementation of China's universal two-child policy and a notable rise in adverse pregnancy outcomes, leveraging electronic health records (EHR) has become crucial for enhancing maternal health. Given the mature construction of the information platform and the well-established maternal and child health service system in Jiangsu Province, this study used the Jiangsu Health Information Platform to carry out the research on the JiAngSu Maternal and INfant hEalth database (JASMINE), which involved over 1.5 million mother-child pairs in Jiangsu Province.

JASMINE enables longitudinal follow-up of pregnant women and their offspring, facilitating the exploration of early-life exposures and their long-term outcomes through comprehensive data linkage. This longitudinal approach helps to clarify the relationship and etiological significance of risk factors associated with adverse pregnancy outcomes.It also permits the exploration of the health trajectory of women and children throughout their lives.

From January 2020 to December 2023, JASMINE has recorded extensive maternal and child health data, including socio-demographics, healthcare services, medications, and clinical outcomes.Additionally, it contains longitudinal measurements on risk factors for adverse pregnancy outcomes, which provides a robust foundation for future real-world studies of dynamic predictive models. This study has been approved approved by the Institutional Review Board of Nanjing Medical University.

Ultimately, this research aims to identify key predictors of adverse pregnancy outcomes and inform public health policies to improve maternal and child health in Jiangsu Province. Future directions will include developing targeted interventions based on study findings to enhance health outcomes for mothers and infants.


Eligibility criteria: Inclusion Criteria:

* Pregnant women and their offspring who registered at the Jiangsu maternal and child health information platform.

Exclusion Criteria:

* None.

Primary outcomes:
measure: Incidence of preterm birth
timeFrame: Up to 42 weeks
measure: Incidence of pre-eclampsia
timeFrame: Up to 42 weeks
measure: Incidence of eclampsia
timeFrame: Up to 42 weeks
measure: Incidence of gestational diabetes mellitus
timeFrame: Up to 42 weeks
measure: Incidence of low birth weight
timeFrame: Up to 42 weeks
measure: Incidence of small for gestational age
timeFrame: Up to 42 weeks
measure: Incidence of autism
timeFrame: Up to 10 years
measure: Incidence of birth defects
timeFrame: Up to 10 years
measure: Incidence of postpartum hemorrhage
timeFrame: Within 24 hours after delivery
measure: Incidence of stillbirth
timeFrame: Up to 42 weeks
measure: Incidence of ruptured uterus
timeFrame: Up to 42 weeks
measure: Incidence of maternal death
timeFrame: Up to 52 weeks
measure: Incidence of neonatal death
timeFrame: Within 28 days after delivery
Secondary outcomes:
Other outcomes:
Locations:
city: Nanjing
country: China
facility: Nanjing Medical University
state: Jiangsu
Study officials:
References: