ArticleJournal of the American Medical Informatics Association : JAMIA2024
Pregnancy episodes in All of Us: harnessing multi-source data for pregnancy-related research.
Article in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed.
- Validation of pregnancy date estimation from outpatient electronic health record data.JAMIA open · 2026Article
- Identifying pregnancies in routinely collected health data: a scoping review of methods.BMC medical informatics and decision making · 2026Article
- Association of Vaccination With COVID Outcomes in Pregnant People With Autoimmune Diseases: A Retrospective National Cohort Analysis.Arthritis care & research · 2026Article
- Hypertensive Disorders of Pregnancy and Premature Cardiovascular Disease in a Diverse Cohort of Young US Women.Circulation · 2026Article
- Placental biology links genetic, epigenetic, ancestral, and social determinants to maternal-fetal health inequities.Frontiers in reproductive health · 2026Review
- Pregnancy and Diabetic Retinopathy: A Report From the All of Us Research Program.Ophthalmology. Retina · 2025Article
- Development and implementation of an entity relationship diagram for perinatal data.JAMIA open · 2025Article
- Veteran participation in the All of Us Research Program: applying an intersectionality lens to evaluate participant diversity.BMC medical research methodology · 2025Article
- Returning value to communities from the All of Us Research Program through innovative approaches for data use, analysis, dissemination, and research capacity building.Journal of the American Medical Informatics Association : JAMIA · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
objectivesThe National Institutes of Health's All of Us Research Program addresses gaps in biomedical research by collecting health data from diverse populations. Pregnant individuals have historically been underrepresented in biomedical research, and pregnancy-related research is often limited by data availability, sample size, and inadequate representation of the diversity of pregnant people. All of Us integrates a wealth of health-related data, providing a unique opportunity to conduct comprehensive pregnancy-related research. We aimed to identify pregnancy episodes with high-quality electronic health record (EHR) data in All of Us Research Program data and evaluate the program's utility for pregnancy-related research. MATERIALS AND
methodsWe used a previously published algorithm to identify pregnancy episodes in All of Us EHR data. We described these pregnancies, validated them with All of Us survey data, and compared them to national statistics.
resultsOur study identified 18 970 pregnancy episodes from 14 234 participants; other possible pregnancy episodes had low-quality or insufficient data. Validation against people who reported a current pregnancy on an All of Us survey found low false positive and negative rates. Demographics were similar in some respects to national data; however, Asian-Americans were underrepresented, and older, highly educated pregnant people were overrepresented. DISCUSSION: Our approach demonstrates the capacity of All of Us to support pregnancy research and reveals the diversity of the pregnancy cohort. However, we noted an underrepresentation among some demographics. Other limitations include measurement error in gestational age and limited data on non-live births.
conclusionThe wide variety of data in the All of Us program, encompassing EHR, survey, genomic, and fitness tracker data, offers a valuable resource for studying pregnancy, yet care must be taken to avoid biases.
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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.