ArticleEpidemiology (Cambridge, Mass.)2020
Assessment of the Accuracy of Identification of Selected Disabilities and Conditions in Hospital Discharge Data for Pregnant Women.
Article in Epidemiology (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- The associations between maternal disability and perinatal outcomes among Black and/or Hispanic women in PRAMS.BMC pregnancy and childbirth · 2026Article
- Perinatal mental health and risk of severe maternal morbidity in women with physical disabilities, Massachusetts 2003-2015.Disability and health journal · 2025Article
- Severe Maternal Morbidity and Other Perinatal Complications Among Black, Hispanic, and White Birthing Persons With and Without Physical Disabilities.Journal of women's health (2002) · 2025Article
- Identifying Pregnant Women With Disabilities and Maternal and Newborn Outcomes.JAMA network open · 2025Article
- Birth Outcomes and Rehospitalizations Among Pregnant Women With Rheumatoid Arthritis and Systemic Lupus Erythematosus and Their Offspring.Arthritis care & research · 2023Article
- Severe maternal morbidity and other perinatal complications among women with physical, sensory, or intellectual and developmental disabilities.Paediatric and perinatal epidemiology · 2022Article
- Pregnancy outcomes among visually impaired women in Washington State, 1987-2014.Disability and health journal · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundLinked birth certificate-hospital discharge records are a valuable resource for examining pregnancy outcomes among women with disability conditions. Few studies relying on these data have been able to assess the accuracy of identification of preexisting disability conditions. We assessed the accuracy of International Classification of Diseases version 9 (ICD9) codes for identifying selected physical, sensory, and intellectual conditions that may result in disability. As ICD9 codes were utilized until recently in most states, this information is useful to inform analyses with these records.
methodsWe reviewed 280 of 311 (90%) medical records of pregnant women with disabilities based on ICD9 codes and 390 of 8,337 (5%) records of pregnant women without disabilities who had deliveries at a large university medical center. We estimated sensitivity, specificity, and positive predictive values (PPV) using the medical record as gold standard. We adjusted for verification bias using inverse probability weighting and imputation.
resultsThe estimated sensitivity of ICD9 codes to identify women with disabilities with deliveries 2009-2012 was 44%; PPV was 98%, improving over time. Although sensitivity was <50% for some conditions, PPVs were 87%-100% for all conditions except intellectual disability (67%). Many physical conditions had complete verification and no underreporting.
conclusionsThese results are helpful for new studies using historical data comparing outcomes among women with and without these conditions and to inform interpretation of results from earlier studies. Assessment of the accuracy of disabilities as identified by ICD version 10 codes is warranted.
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