ArticlePloS one2016
Linking Data for Mothers and Babies in De-Identified Electronic Health Data.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
75 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Birth and death notification via mobile devices: a mixed methods systematic review.The Cochrane database of systematic reviews · 2021Pooled it
- GUILD: GUidance for Information about Linking Data sets.Journal of public health (Oxford, England) · 2018Guideline
- 10-year mortality among first-time mothers involved in family court care proceedings in England: cohort study using linked administrative hospital, mortality and family court records.Journal of epidemiology and community health · 2026Article
- Identifying Family Relationships from Electronic Health Records: A Machine Learning Approach.medRxiv : the preprint server for health sciences · 2026Article
- Derivation and validation of an algorithm for maternal-child linkage in electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Differences in Paediatric intensive care mortality by biological sex: a study of English PICUs using linked administrative datasets.Intensive care medicine. Paediatric and neonatal · 2026Article
- Phenotyping Neurodisability in Hospital Records in England: A National Birth Cohort Using Linked Administrative Data.Paediatric and perinatal epidemiology · 2025Article
- Exploring the Complexity of Real-World Health Data Record Linkage-An Exemplary Study Linking Cancer Registry and Claims Data.Pharmacoepidemiology and drug safety · 2025Article
- How does health visiting in the first year of life vary by family characteristics? A longitudinal analysis of administrative data.Journal of public health (Oxford, England) · 2025Article
- Hospital-recorded chronic health conditions in children with and without Down syndrome in England: a national cohort of births from 2003 to 2019.Archives of disease in childhood · 2025Article
- Emergency hospital admissions for stress-related presentations among secondary school-aged minoritised young people in England.The British journal of psychiatry : the journal of mental science · 2025Article
- Impact of pandemic service changes on ethnic inequalities in maternal and perinatal outcomes in England: a population-based study.BMJ open · 2025Article
- Effects of the Family Nurse Partnership on all eligible mothers: a data linkage cohort study in England.PloS one · 2025Article
- Addressing uncertainty in identifying pregnancies in the English CPRD GOLD Pregnancy Register: a methodological study using a worked example.International journal of population data science · 2025Article
- Creating a learning health system to include environmental determinants of health: The GroundsWell experience.Learning health systems · 2024Article
- Cumulative incidence of chronic health conditions recorded in hospital inpatient admissions from birth to age 16 in England.International journal of epidemiology · 2024Article
- Examining the hospital costs of children born into relative deprivation in England.Journal of epidemiology and community health · 2024Article
- Intensive home visiting for adolescent mothers in the Family Nurse Partnership in England 2010-2019: a population-based data linkage cohort study using propensity score matching.BMJ public health · 2024Article
- Data Resource Profile: A national linked mother-baby cohort of health, education and social care data in England (ECHILD-MB).International journal of epidemiology · 2024Article
- Linkage of administrative family court care proceedings and hospital records for mothers in England: linkage accuracy and cumulative incidence of family court care proceedings after a first live birth.International journal of population data science · 2024Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
objectiveLinkage of longitudinal administrative data for mothers and babies supports research and service evaluation in several populations around the world. We established a linked mother-baby cohort using pseudonymised, population-level data for England. DESIGN AND
settingRetrospective linkage study using electronic hospital records of mothers and babies admitted to NHS hospitals in England, captured in Hospital Episode Statistics between April 2001 and March 2013.
resultsOf 672,955 baby records in 2012/13, 280,470 (42%) linked deterministically to a maternal record using hospital, GP practice, maternal age, birthweight, gestation, birth order and sex. A further 380,164 (56%) records linked using probabilistic methods incorporating additional variables that could differ between mother/baby records (admission dates, ethnicity, 3/4-character postcode district) or that include missing values (delivery variables). The false-match rate was estimated at 0.15% using synthetic data. Data quality improved over time: for 2001/02, 91% of baby records were linked (holding the estimated false-match rate at 0.15%). The linked cohort was representative of national distributions of gender, gestation, birth weight and maternal age, and captured approximately 97% of births in England.
conclusionProbabilistic linkage of maternal and baby healthcare characteristics offers an efficient way to enrich maternity data, improve data quality, and create longitudinal cohorts for research and service evaluation. This approach could be extended to linkage of other datasets that have non-disclosive characteristics in common.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.