Evidence map›Paper›PMID 32168020›Full record

ArticleEpidemiology (Cambridge, Mass.)2020

Assessment of the Accuracy of Identification of Selected Disabilities and Conditions in Hospital Discharge Data for Pregnant Women.

Naomi R M Schwartz, Deborah A Crane, David R Doody, Melissa A Schiff, Beth A Mueller

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Naomi R M SchwartzFrom the CHOICE Institute, University of Washington School of Pharmacy, Seattle, WA.
Deborah A CraneDepartment of Rehabilitation Medicine, University of Washington, Seattle, WA.
David R DoodyPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA.
Melissa A SchiffDepartment of Obstetrics and Gynecology, University of Washington, Seattle, WA.
Beth A MuellerPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA.

Funding

Pregnancy Outcomes in Women with Disabilities: Exploratory ResearchR21HD073024 · NICHD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MUELLER, BETH A · 2013 to 2014
$480k
NICHD NIH HHS R21 HD073024
6 · The paper itself

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.

Indexed as

International Classification of DiseasesPatient DischargePersons with DisabilitiesPregnant PeopleFemaleHumansPregnancyReproducibility of Results

Identifiers

PMID32168020
PMCPMC8323995

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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.