Evidence map›Paper›PMID 35257392›Full record

ArticlePaediatric and perinatal epidemiology2022

The validity of self-reported SARS-CoV-2 results among postpartum respondents.

Katharine McCarthy, Sheela Maru, Sarah Nowlin, Payal Ram, Kimberly B Glazer, Teresa Janevic

Open access · greenAbstract read
In one paragraph

Article in Paediatric and perinatal epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

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  6. Predictors of reinfection with pre-Omicron and Omicron variants of concern among individuals who recovered from COVID-19 in the first year of the pandemic.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
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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

6 authors at 4 institutions in 1 country.

Katharine McCarthyDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, USA.ORCID 0000-0002-3257-5664
Sheela MaruDepartment of Obstetrics, Gynecology, and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York City, USA.
Sarah NowlinDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, USA.
Payal RamDepartment of Health System Design and Global Health, Arnhold Institute for Global Health, Icahn School of Medicine at Mount Sinai, New York City, USA.
Kimberly B GlazerDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, USA.
Teresa JanevicDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, USA.
Icahn School of Medicine at Mount Sinai · USMount Sinai Hospital · USMount Sinai Health System · USNew York City Health and Hospitals Corporation · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid and reliable health data on SARS-CoV-2 infection among pregnant individuals are needed to understand the influence of the virus on maternal health and child development, yet the validity of self-reported COVID-19 testing and diagnosis remains unknown.

objectivesWe assessed the validity of self-reported COVID-19 polymerase chain reaction (PCR) testing and diagnosis during delivery among postpartum respondents as well as how diagnostic accuracy varied by respondent characteristics.

methodsWe validated receipt of a COVID-19 PCR test and test results by comparing self-reported results obtained through an electronic survey to electronic medical record data (gold standard) among a cross-sectional sample of postpartum respondents who delivered at four New York City hospitals between March 2020 and January 2021. To assess validity, we calculated each indicator's sensitivity, specificity and the area under the receiver-operating curve (AUC). We examined respondent characteristics (age, race/ethnicity, education level, health insurance, nativity, pre-pregnancy obesity and birth characteristics) as predictors of reporting accuracy using modified Poisson regression.

resultsA total of 276 respondents had matched electronic record and survey data. The majority, 83.7% of respondents received a SARS-CoV-2 PCR test during their delivery stay. Of these, 12.1% had detected SARS-CoV-2. Among those tested, sensitivity (90.5%) and specificity (96.5%) were high for SARS-CoV-2 detection. The adjusted risk ratio (aRR) of accurate result reporting was somewhat lower among Hispanic women relative to white non-Hispanic women (aRR 0.90, 95% CI 0.90, 1.00) and among those who had public or no insurance vs. private (aRR 0.91, 95% CI 0.82, 1.01), controlling for recall time. CONCLUSION(S): High recall accuracy result reporting for COVID-19 PCR tests administered during labour and delivery suggest the potential for population-based surveys as a rapid mechanism to obtain accurate data on COVID-19 diagnostic history. Additional psychometric research is warranted to ensure accurate recall across respondent subgroups.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingCross-Sectional StudiesFemaleHumansInfant, NewbornPostpartum PeriodPregnancySelf ReportCOVID-19obstetricsSARS-CoV2 PCR testingself-reportvalidity

Identifiers

PMID35257392
PMCPMC9115458
OpenAlexW4220717887

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.