View clinical trials related to Pregnant Women.
Filter by:With the implementation of China's two-child policy and a marked increase in adverse pregnancy outcomes, leveraging electronic health records (EHR) to enhance maternal and child healthcare and outcomes in China has emerged as a novel strategy to tackle this pivotal demographic and health challenge. Given the mature construction of the information platform and the well-established maternal and child health service system in Ningbo, this study utilized the Ningbo Maternal and Child Health Electronic Monitoring Information Management System and the Ningbo Regional Health Information Platform to conduct the Ningbo maternity-child linked database study (MATCHLESS), which involved over 300,000 mother-child pairs in China. MATCHLESS not only allows for longitudinal follow-up of pregnant women and their offspring but also expands its scope from prenatal exposure to long-term outcomes through data linkage. The longitudinal scope of MATCHLESS facilitates the elucidation of the relationship and etiological significance of early-life exposures and adverse pregnancy outcomes. It also permits the exploration of the health trajectory of women and children over their life-course. During the past 5 years (October 2016 to December 2021), a substantial amount of maternal and child health data has been recorded in MATCHLESS, including socio-demographics, health care services and medications, as well as clinical outcome events. 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 was approved by the Ethics Review Committee of the Ningbo University Health Science Center. Considering the safety, privacy, and confidentiality concerns surrounding the storage and processing of personal EHR data, the responsibility for data storage and management is undertaken by the Health Commission of Ningbo. Researchers are required to submit applications to the local health department, and all studies undergo ethical review and research registration procedures to access EHR data for health research purposes.
With the Healthy China 2030 Plan for further reducing maternal mortality ratio (MMR), and increasing number of high-risk pregnancies in China, we aimed to develop a registry of pregnant women based on hospital-based Electronic Medical Records (EMR) data in West China, through integrating information technology and medical knowledge, by linking multi-resource data covering information regarding the whole cycle from pregnancy registration till delivery, and process of diagnosis, treatment and pregnancy outcomes, in order to provide reliable, valuable and efficient data resources for researches about high-risk pregnancy safety and MMR reduction in southwestern China. From January 29, 2014 to November 29, 2019, 64,468 pregnancies of 62,690 women were registered around gestational 13th weeks in the hospital, collecting over 47 million records (including repeated measurement data) from Health Information System (HIS), Laboratory Information System (LIS), and Picture Archiving and Communication System (PACS). After excluding 3476 pregnancies lost to follow-up and 7325 newly-pregnancies with expected date of delivery out of the study time, a total of 53,667 pregnancies about 51,964 women were finally included in the registry, who had been followed up till the occurrence of at least one outcome, including any pregnancy complication, abortion, stillbirth, induced labor, and live birth between January 1, 2015 and November 30, 2019. Till now, through data linkage, data collection, cleaning and recoding, we have generated more than 2100 structured variables regarding pre-pregnancy conditions, prenatal visit records, hospitalized diagnosis, treatment and discharge outcomes. The diagnoses of pregnancy complications, maternal and fetal outcomes, recorded by ICD-10 coding or free terms in original fields, were uniformly encoded by the Classification and Codes of Diseases released by Chinese National Standards Institute (GB/T14396-2016) and National Health Standard Criteria for Birth Defects (WS 377.6-2013).
To improve the health of women and children under the background of Healthy China 2030, the investigators developed REPRESENT by establishing a pregnancy registry in Xiamen, a sub-provincial city of over four million residents in east China, based on the Maternal and Child Health Management Platform, and then linking to three other platforms, i.e. Residents Healthcare Management Platform, Primary Healthcare Management Platform, and Electronic Healthcare Records (EHR) Platform, which had been developed since 2006. The registry documented information and events about pregnant women from registration at their first trimester to postpartum, and includes the childhood follow up records. The registry not only enables longitudinal follow up of pregnant women and their offspring, but also expands the scope of database from pre-pregnancy exposures to long-term outcomes by data linkage. During the past 11 years (January 2008 to March 2019), the REPRESENT has accumulated data concerning more than 700 thousands pregnancies. The data volume is substantial with over 800 variables being documented, and most variables are designed as structured fields. The disease categories and codes are standardized according to the International Classification of Diseases 10th Revision (ICD-10). The whole process of data access, data extraction, data processing and data analysis was conducted through an internal-only accessible server at Xiamen Health and Medical Big Data Center. All investigators cannot access sensitive information, are required to sign data confidentiality agreement and should obtain approval by the Xiamen Health and Medical Big Data Center and the Chinese Evidence-based Medicine Center.
The present study is planned to be conducted at a district level women and children`s hospital at Nagpur with the following objectives: Objectives: i) To assess the prevalence of asymptomatic malaria infection with all four species of malarial parasites namely P. falciparum, P. malariae, P. ovale and P. vivax during the first/second trimester of pregnancy among women attending the antenatal clinic at a secondary level urban health facility using PCR (polymerase chain reaction) for malaria parasites. ii) To determine the effect of malaria on duration of pregnancy, adverse outcomes and birth outcomes at delivery
Many pregnant women experience stress, fatigue, and poor sleep quality that may influence infant outcomes such as prematurity and low birthweight through immunologic pathway of biomarkers (serum cytokines and c-reactive protein). In contrast, TaiChi exercise, one kind of physical activity, can increase pulmonary and immune functions and reduce stress may therefore prevent pregnancy complications and further prevent adverse pregnancy outcomes; however, its effects has not been explored in studies. Therefore, this study aims to investigate relationships between prenatal stress, fatigue, sleep quality, biomarkers, and infant outcomes; modified a TaiChi exercise program suitable for pregnant women; and test the effects of the exercise on reducing stress and fatigue, promote sleep quality, modulate biomarkers, and prevent adverse infant outcomes. Infant outcomes in the study will be measured with gestational age and birthweight. The study is a three-stage longitudinal interventional design.