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Record W3115361680 · doi:10.1093/ije/dyaa161

Data Resource Profile: Xiamen registry of pregnant women and offspring (REPRESENT): a population-based, long-term follow-up database linking four major healthcare data platforms

2020· article· en· W3115361680 on OpenAlexaff
Jing Tan, Yiquan Xiong, Yana Qi, Chunrong Liu, Shiyao Huang, Guanhua Yao, Wei Sun, Yongyue Qian, Lishan Ye, Qiushi Xu, Hui Liu, Andy H. Lee, Lehana Thabane, Xin Sun

Bibliographic record

VenueInternational Journal of Epidemiology · 2020
Typearticle
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare HamiltonImpact
FundersNational Science and Technology Major ProjectNational Natural Science Foundation of China
KeywordsOffspringResource (disambiguation)Term (time)PopulationHealth careMedicineDatabaseHealth dataPregnancyEnvironmental healthComputer scienceEconomic growthBiology

Abstract

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REPRESENT is the first population-based, long-term follow-up database of pregnant women and their offspring in China that can capture information on a diversity of exposures before pregnancy as well as long-term outcomes for both mothers and infants, in addition to tracking data during gestation and delivery. In the past 11 years (January 2008 to March 2019), REPRESENT has accumulated data concerning 766 194 pregnancies and 765 746 newborns, with over 800 variables being documented from four healthcare data platforms in Xiamen, a sub-provincial city in southeast China that has 4.11 million residents. REPRESENT was primarily built upon the Maternal and Child Health Management Platform, a pregnancy registry which stores healthcare data—including antenatal care, delivery care, postpartum follow-up and childhood follow-up—from pregnant women and their offspring across all maternity departments in Xiamen. By using a unique identifier, REPRESENT linked the pregnancy registry with three other healthcare data platforms, which store healthcare data from 15 tertiary and 2 secondary hospitals, 39 primary healthcare facilities and 272 (of the 281) health stations in the city. The scope of the database spans from pre-pregnancy exposures to post-delivery information about health care and outcomes for mothers, and the follow-up for offspring may cover adolescence and adulthood. Research institutions can apply to access the registry data by submitting a formal study protocol, subject to the approval by Xiamen Health and Medical Big Data Center and Chinese Evidence-based Medicine Center (http://www.xmyys.com.cn/news_info_204.html). Ethical review and research registration are mandatory for all studies. As the nation with the largest population of >17 million newborns annually,1 China always places maternal and child health on its priority research agenda.2 During the past decades, substantial interventional works have led to a large reduction in maternal and infant mortality.3,4 With the introduction of a national goal of Healthy China 2030,5 the research paradigm has now shifted and expanded to the improvement of overall health, such as reduction of newborn and infant malformations, and lowering of serious pregnancy-related complications. This paradigm shift is particularly relevant to address new challenges for advanced-age mothers since the implementation of China’s two-child policy.6 Such challenges include the necessity to answer policy-relevant questions in a timely manner, the limited resources available to deal with rare but serious adverse birth events, and the lack of scientific evidence to causally determine the relationship between pre-pregnancy exposures and long-term health outcomes. The advancement of digital technology in the past decade has enabled electronic collection and storage of healthcare data in China.7,8 The National Health Commission has also enforced the capturing of healthcare data for women and children, such as maternal death, under-5 mortality and birth defects.9 Xiamen, a sub-provincial city of >4 million residents, is unique in the governance of healthcare data in China. Through a central coordination system, electronic health records are centrally collected from primary to tertiary care institutions within the region, whereby the same electronic health records system is adopted across all primary care institutions, and a unique pregnancy registry has been established. It is thus feasible to utilize such integrated data sources to generate trustworthy evidence on pregnancy and child care, spanning several years before and after pregnancy, and providing valuable information about mothers and their offspring. In this data source profile, we report our efforts to develop the Xiamen registry of pregnant women and offspring (REPRESENT) that links four major healthcare data platforms in the region. Xiamen is a coastal city located in southeast China, with a subtropical monsoon climate at an average annual temperature of 21°C. The sub-provincial city is economically administered by the central government of China, and the total population of permanent residents is 4.11 million. The city comprises 6 administrative districts, 38 sub-district units, 364 residential communities and 147 villages. Xiamen currently maintains 15 tertiary hospitals (defined as those with >500 beds), 2 secondary hospitals (between 100 and 499 beds), 39 primary healthcare facilities and 281 health stations (Figure 1). Population coverage and location of hospitals at the end of 2018 in Xiamen city. Shading represents the population coverage of permanent residents in each district (10 000), circles represent the location of tertiary hospitals, and triangles represent the location of secondary hospitals Since 2006, the government of Xiamen has developed four major healthcare data platforms (Figure 2): (i) Residents Healthcare Management Platform, which integrates data from the other three platforms and serves for making appointments and checking electronic health files by residents (Supplementary Appendix 1A, available as Supplementary data at IJE online); (ii) Primary Healthcare Management Platform, which collects healthcare data from 39 primary healthcare facilities and 272 (of the 281) health stations (Supplementary Appendix 1B, available as Supplementary data at IJE online); (iii) Electronic Healthcare Records (EHR) Platform, which collects EHR data from 15 tertiary and 2 secondary hospitals (Supplementary Appendix 1C, available as Supplementary data at IJE online); and (iv) Maternal and Child Health Management Platform, which collects healthcare data from pregnant women and their offspring across all maternity departments in Xiamen. Four major healthcare data platforms in Xiamen. These databases are linked through the Citizen Health Information number (a unique ID). The REPRESENT registry comprises of data from the four databases, with the Maternal and Child Health Management Platform as the primary data source Xiamen residents are given a healthcare card with a unique Citizen Health Identification number, linked to their citizen identity number. They are required to use the healthcare card for making medical appointments, either in person at the reception desk of the healthcare institution or through the Management Platform, which has computer or mobile portals. The identification number enables the linking of data across different platforms. Xiamen Health Commission holds primary responsibility for the development and management of the platforms, data coordination, transfer, uploading and storage, as well as quality control. The Xiamen Health and Medical Big Data Center, under the governance of Xiamen Health Commission, is responsible for technical operation of the platforms. The establishment of REPRESENT commenced with setting up the pregnancy registry, primarily based on the Maternal and Child Health Management Platform. This registry was then linked to the three other platforms. Such data linkage enables longitudinal follow-up of pregnant women and their offspring. The scope of the database spans from pre-pregnancy exposures to post-delivery information about health care and outcomes for mothers, and the follow-up for offspring may cover adolescence and adulthood. The current database has accumulated 11-year data ranging from 2008 to 2019, and the ongoing accumulation of data would enable a great potential for life-course coverage. Table 1 summarizes the sample size and duration time for each data panel and its subset categories. A total of 766 194 pregnancies are registered at Maternal and Child Health Management Platform, including 4 771 235 records of repeated antenatal visits and 3 266 906 records of antenatal screening. In addition, 758 237 pregnancies in maternal delivery care and 765 746 newborns in neonatal delivery care are documented. Sample size and duration time of data panel and subset in the Maternal and Child Health Management Platform Sample size and duration time of data panel and subset in the Maternal and Child Health Management Platform Table 2 presents maternal and offspring characteristics at baseline and key information of the REPRESENT database. The median registrations per year was 55 765 [lower quartile (QL)–upper quartile (QU), 35 020–96 973], and the average maternal age was 27 (25–30) years. A total of 328 375 (46.29%) pregnancies were multipara and 245 822 (32.49%) deliveries were by caesarean section. Maternal and offspring characteristics at baseline and key information of REPRESENT database QL, lower quartile; Qu, upper quartile; N/A, not applicable. Gravidity refers to the number of pregnancies, including current and past pregnancies, no matter whether the pregnancies were interrupted or resulted in a live birth. Parity refers to the number of deliveries of a fetus at or after 24th gestational weeks, regardless of live birth or stillbirth. Nullipara indicates that a woman has no birth history, and multipara means a woman had more than one birth. No. (%). The number of pregnancies in antenatal care (766 194) is the denominator. The number of pregnancies in maternal delivery care (758 237) is the denominator. The number of newborns in neonatal delivery care (765 746) is the denominator. Maternal and offspring characteristics at baseline and key information of REPRESENT database QL, lower quartile; Qu, upper quartile; N/A, not applicable. Gravidity refers to the number of pregnancies, including current and past pregnancies, no matter whether the pregnancies were interrupted or resulted in a live birth. Parity refers to the number of deliveries of a fetus at or after 24th gestational weeks, regardless of live birth or stillbirth. Nullipara indicates that a woman has no birth history, and multipara means a woman had more than one birth. No. (%). The number of pregnancies in antenatal care (766 194) is the denominator. The number of pregnancies in maternal delivery care (758 237) is the denominator. The number of newborns in neonatal delivery care (765 746) is the denominator. In an effort to protect the health of mothers and offspring, the National Health Commission of China has implemented rigorous pregnancy management since 2011.10 All the maternal departments in Xiamen have followed two guidance documents, issued by the National Health Commission, to develop the pregnancy registry and conduct follow-ups, including Administrative Regulation on Health Care during Pregnancy and Childbirth and Good Practice for Health Care during Pregnancy and Childbirth.10 Thus, pregnancy care in Xiamen follows a standard protocol (Figure 3). Standard protocol of pregnancy care pattern in Xiamen After confirmation of conception by ultrasonography, a pregnant woman is registered at the Maternal and Child Health Management Platform by each clinician at the first antenatal visit, and a unique pregnancy registration number is assigned. The woman is subsequently assessed by a clinician using a maternal risk score, and her pregnancy is categorized as either low risk (without any high-risk characteristics) or high risk (with any high-risk characteristics).11 Following the initial assessment, antenatal care for low-risk pregnancies is conducted at primary or secondary healthcare facilities until 20 weeks of gestation; if any complication occurs, the woman is transferred to a tertiary hospital. Nuchal translucency examination is conducted at a tertiary care institution. Commencing at 21 weeks of gestation, all antenatal care and follow-up visits are carried out at tertiary hospitals until delivery. High-risk pregnancies are always managed at tertiary hospitals. Typically, pregnant women undertake antenatal visits every 4 weeks during the first and second trimesters. From the third trimester (i.e. after 28 gestational weeks), the interval of antenatal visits is usually 1–2 weeks depending on the condition of pregnancy. As required by the Health Commission, information about all the visits are strictly documented by clinicians and stored in the Maternal and Child Health Management Platform in a timely manner. After delivery, maternal family visits by primary health workers occur at 5 days and infant family visits at 30 days, as well as maternal examinations at 42 days at qualified maternity departments. For women and infants with comorbidities, additional family visits may be conducted. The infant family visit at 30 days after delivery has been effective in Xiamen since 2010, whereas maternal family visits at 5 days after delivery began in 2014. The maternal examination at 42 days was initiated in 2013 on a voluntary basis. Following the consistent and recommended follow-up workflow from conception to postpartum (Figure 3), the pregnancy registry was developed based on the Maternal and Child Health Management Platform. This platform has been effectively used for managing maternal and child health across all healthcare institutions in Xiamen (accessed by attending clinicians through a fixed internal portal), which documents information and events about pregnant women from registration at their first trimester to postpartum, and includes childhood follow-up records. A birth certificate linking parental information is also automatically generated from this system. Attending clinicians report their assessment by completing specific forms of the platform, while pregnant women can also review their health reports through this system, as well as making appointments or booking a maternity bed. Currently, the pregnancy registry consists of four data panels, namely, antenatal care, delivery care, postpartum follow-up and childhood follow-up (Table 3). Of those, the antenatal care panel is concerned with registration visit, regular antenatal visits and antenatal screening. The delivery care panel comprises maternal and neonatal delivery records, where pregnancy termination outcomes and birth defects are separately documented. Any pregnancy loss, including abortion, induced labor, stillbirth/fetal death and the reasons for termination of pregnancy that occurred after the first antenatal visit, is recorded into a separate sheet by clinicians. The postpartum follow-up panel includes maternal family visits at 5 days after delivery and infant family visits at 30 days by primary care clinicians, as well as maternal examination at 42 days at maternity departments. The childhood follow-up panel is not part of the pregnancy care and is not conducted at maternity departments. However, all childhood data are collected through the Maternal and Child Health Management Platform and linked to the three other panels. In the first 3 years, the follow-ups are conducted at 1, 3, 6, 8, 12, 18, 24 and 36 months. After 36 months, the follow-ups are undertaken by primary care physicians annually at kindergartens until the child is 6 years of age. Data panels and key variables in the REPRESENT registry Data panels and key variables in the REPRESENT registry Since its inception, Xiamen Health Commission has implemented a rigorous approach to enforce data collection and quality control. During pregnancy, attending staff (clinicians, midwives and nurses) are required to file antenatal care visits through the Maternal and Child Health Management Platform. Information is manually entered by attending staff, except laboratory test data which are automatically uploaded. The original imaging records are saved locally, but the key diagnostic information is automatically uploaded to the platform. After delivery, details on delivery care including maternal and neonatal records are completed electronically by attending clinicians. Any diagnosed birth defect must be filed separately. Postpartum follow-ups are completed according to the pre-specified protocol by attending clinicians or general practitioners (GPs). The pregnancy registry offers a core data repository to construct a longitudinal follow-up of pregnancy care and outcomes from conception to postpartum and newborn tracking, as well as childhood follow-ups (up to 6 years). To develop REPRESENT, we linked the pregnancy registry with three other data platforms to increase data diversity and the length of follow-up. The current REPRESENT database has accumulated 11-year data (i.e. 2008–2019) and has the capacity to prolong follow-up with ongoing efforts of data accumulation from the four databases. As a result, one would be able to track pregnant women from pre-conception to a decade or longer after delivery, thus enabling long-term follow-up. Specifically, data are available both for exposures (e.g. historical diseases, medications, healthcare service and environmental factors) and long-term healthcare use and outcomes after delivery (Figure 4). Linking pregnancy registry with other data Electronic Healthcare Records the offspring to be followed up to by linking the databases, as each newborn is a Citizen Health Information number at which is used or her Thus, by linking databases, the health information of the offspring be over a (Figure 4). In addition, the offspring may be linked to their mothers by the family relationship in the Residents Healthcare Management Platform. identification are stored in the four platforms, including for Citizen Health Pregnancy number, and other used identification across different institutions (e.g. medical institution number, number and linked the pregnancy registry with the other platforms primarily by the Citizen Health In of any identification number, is based on other variables such as birth delivery medical institution number, number and number. As the initial medical in with the research data from the Maternal and Child Health Management Platform to construct the database (i.e. of the pregnancy the Maternal and Child Health Management Platform in the unique identification number had not been the for the pregnancy registry was to the of data with After this assessment, the data were and data were until all data were and consistent for any given of the variables in the Maternal and Child Health Management Platform are as of gestational comorbidities, and are in for by clinicians. for data was implemented by in medical to the of of by Chinese National we the original and the by of For in we the and in and the by the subject of using the As a result, the and are manually repeated checking the until the was The platform adopted the National Health Standard to of birth defects and for and in China Maternal and Child Health China and China of were used for other birth In addition, were using the National the data linkage has been completed and the is ongoing to the EHR data into more records. In history, records and medical before and after pregnancy a healthcare database capturing information about pregnant women and their offspring be established. is a for all the residents in Xiamen are registered with a Citizen Health Identification number pregnant the the residents or their to the development of life-course electronic health All medical and healthcare records, which the life-course electronic health are stored in the four healthcare management platforms. The residents can also review the electronic health file and the about the of and To protect and to data the of data data data and data was through a at Xiamen Health and Medical Big Data Center is not the platforms, undertake the primary responsibility for data whereas research access identification and information from the data All a data before being given data The study was by China and registered at have a number of potential of the REPRESENT has the capacity to address research questions by linking the four major healthcare data platforms. For one would be able to determine whether pre-pregnancy exposures (e.g. or can gestational outcomes (e.g. of birth outcomes such as birth outcomes (e.g. postpartum and long-term childhood (e.g. is feasible to the of fetus to (e.g. childhood and the pattern in childhood and A new of evidence may then be generated to management of pregnant women and their offspring. to the large population and the high of details documented in REPRESENT, are great to rare For given the high caesarean in the past decades, serious but rare adverse outcomes (e.g. an With of events and information (e.g. antenatal a may be for which enable risk assessment and timely In addition, with a substantial of variables and in REPRESENT, is feasible to which is unique of this such is a in which a sample is from a interval as a to the of medical on mortality A large number of newborns with birth records and a of are required for such REPRESENT is built on a specific in China whereby a healthcare system (i.e. has been well from such are for healthcare in China. In one may the of and of the as a of the two-child and in has the capacity to the of the healthcare system, and develop and REPRESENT has documented a high of details about healthcare and resources use during the in a for adverse pregnancy outcomes are not to data the of healthcare is the between or pregnancy to and the risk of adverse is to records of and such as and birth In our new database offers a unique to this and the may be to other pregnancy in China. REPRESENT about the care pattern and outcomes in China and other In given the large of newborns each year in China, we that the evidence would have for and REPRESENT has several of is the first population-based, long-term follow-up registry of pregnant women and their offspring in China. By linking four major healthcare data platforms, one can capture information on a diversity of exposures before pregnancy as well as long-term outcomes for both mothers and infants, in addition to tracking data during gestation and delivery, which the to the between before and during pregnancy (e.g. and and long-term outcomes. one may access a large and of healthcare information spanning from gestation to postpartum and childhood follow-ups, which not pregnancy information at each maternity in Xiamen, but also includes a of information about medical laboratory and imaging documented according to consistent workflow and The data is substantial with over 800 variables being documented. In the past 11 years (January 2008 to March REPRESENT has accumulated data concerning 766 194 pregnancies and 765 746 the quality of data is of the for data collection implemented by the Health Commission, particularly data collected the Maternal and Child Health Management Platform, which represents the for the pregnancy medical history, gestational history, family and family can be and from four data platforms, which from the Pregnancy It also has several potential A of REPRESENT is the lack of national in of the and between and China, and the characteristics of the Xiamen population may from other To this is our to develop a data platform that links databases across in China by a of institutions in the live birth may be in our as pregnancy (e.g. pregnancy before pregnancy and before are to be In our a separate sheet about pregnancy termination outcomes was which can any pregnancy by clinicians, including abortion, induced labor, stillbirth/fetal death and the reasons for termination of pregnancy, after the first antenatal the risk that both pregnancy and the outcomes of during the may the of live birth In addition, other forms of such as and may be using the database. However, given its as a database and the of variables this database may the available data source for this population in China. The Chinese Evidence-based Medicine Center, with China is responsible for the Chinese Evidence-based Medicine Center and Xiamen Health and Medical Big Data Center are responsible for the use of the registry Research institutions can apply to access the registry data by submitting a formal study protocol, subject to approval by the Xiamen Health and Medical Big Data Center and the Chinese Evidence-based Medicine Ethical review and research registration are mandatory for all studies. Research institutions can apply for access to the registry data by submitting a formal study protocol, subject to approval by Xiamen Health and Medical Big Data Center and Chinese Evidence-based Medicine Center (http://www.xmyys.com.cn/news_info_204.html). Supplementary data are available at IJE The study was by from the National of China National Research and of Health and and National and The would to the and institutions have substantial to the establishment of Xiamen Health and Medical Big Data Center of of of Xiamen Maternal and Child Care and are

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.017
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0320.010

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.187
GPT teacher head0.393
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2020
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