Evidence map›Paper›PMID 39280020›Full record

ArticleJournal of labor economics2024

Geographic Variation in Cesarean Sections in the United States: Trends, Correlates, and Other Interesting Facts.

Sarah Robinson, Heather Royer, David Silver

Abstract read
In one paragraph

Article in Journal of labor economics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. 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

3 authors.

Sarah RobinsonClaremont McKenna College.
Heather RoyerUC Santa Barbara & IZA & NBER.
David SilverUC Santa Barbara & NBER.

Funding

NBER Center for Aging and Health Research-Post COVID-19 Experiences Among Adults with ADRDP30AG012810 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI DAVID M CUTLER · 1999 to 2026
$24.6M
NBER Training Program in Aging and Health EconomicsT32AG000186 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI CUTLER, DAVID M, FINKELSTEIN, AMY N. · 1989 to 2024
$9.6M
NIA NIH HHS P30 AG012810NIA NIH HHS T32 AG000186
6 · The paper itself

Abstract

Analyzing data spanning three decades covering the near universe of births, we study county-level differences in Cesarean section (C-section) rates among first-time mothers of singleton births. Our research reveals persistent geographic variation in C-section rates for both low- and high-risk groups. Counties with elevated C-section rates consistently perform more C-sections across mothers at all levels of appropriateness for the procedure. These elevated rates of C-section in high C-section counties are associated with reduced maternal and infant morbidity. We also find that C-section decisions are less responsive to underlying risks for Black mothers relative to white mothers, suggesting potential welfare-reducing disparities.

Identifiers

PMID39280020
PMCPMC11391907

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.