Evidence map›Paper›PMID 41181370›Full record

ArticleCurrent epidemiology reports2024

Defining, measuring, and evaluating prenatal care in insurance claims data.

Elizabeth Simmons, Mekhala V Dissanayake, Jacob C Kahrs, Chase D Latour, Oluwasolape Olawore, Lauren M Kucirka, Mollie E Wood

Abstract read
In one paragraph

Article in Current epidemiology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

Elizabeth SimmonsDepartment of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0003-0780-467X
Mekhala V DissanayakeCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-3781-5444
Jacob C KahrsDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0001-7171-2652
Chase D LatourDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-9362-2516
Oluwasolape OlaworeDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-8954-6426
Lauren M KucirkaDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA.
Mollie E WoodDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-9302-2641

Funding

How to improve access to midwifery care and prevent perinatal morbiditiesF31HD110251 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SIMMONS, ELIZABETH · 2022 to 2023
$76k
AHRQ HHS T32 HS000032NICHD NIH HHS F31 HD110251
6 · The paper itself

Abstract

Purpose of review: The objective of this paper is to discuss the complexities of identifying prenatal care visits in insurance claims databases, review existing methods to identify prenatal care encounters, and explore how different study goals should inform the definition of prenatal care employed by investigators. Recent findings: Insurance claims data are routinely used to conduct perinatal epidemiology studies focused on the effects of medical interventions. Prenatal care, an important medical intervention and an indicator of ongoing pregnancy, lacks a consistent definition among clinical and research-based sources. Summary: We have categorized definitions of prenatal care in three groups: all healthcare received while pregnant, pregnancy-specific healthcare, and guideline-concordant healthcare. In studies using insurance claims data, we found five common methods to identify prenatal care encounters. Using example study goals, we outline important considerations investigators must make when applying different methods to identify prenatal care visits in studies using insurance claims data.

Indexed as

administrative databasesinsurance claims dataperinatal epidemiologypregnancyprenatal care

Identifiers

PMID41181370
PMCPMC12577746

What OpenQuestion holds

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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.