Evidence map›Paper›PMID 39879687›Full record

ArticleNursing outlook

Relationship between nurse staffing during labor and cesarean birth rates in U.S. hospitals.

Audrey Lyndon, Kathleen Rice Simpson, Gay L Landstrom, Caryl L Gay, Jason Fletcher, Joanne Spetz

Abstract read
In one paragraph

Article in Nursing outlook. 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. Review
  2. Observational
  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

6 authors.

Audrey LyndonNew York University Rory Meyers College of Nursing, New York, NY. Electronic address: audrey.lyndon@nyu.edu.
Kathleen Rice SimpsonMercy Hospital St. Louis, St. Louis, MO.
Gay L LandstromTrinity Health, Livonia, MI.
Caryl L GayDepartment of Family Health Care Nursing, School of Nursing, University of California San Francisco, San Francisco, CA.
Jason FletcherNew York University Rory Meyers College of Nursing, New York, NY.
Joanne SpetzPhilip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA.

Funding

AHRQ HHS R01 HS025715
6 · The paper itself

Abstract

backgroundCesarean birth increases risk of maternal morbidity and mortality. PURPOSE: Examine the relationship between labor and delivery staffing and hospital cesarean and vaginal birth after cesarean (VBAC) rates.

methodsSurvey of U.S. labor nurses in 2018 and 2019 on adherence to AWHONN nurse staffing standards with data linked to American Hospital Association Survey data, patient discharge data, and cesarean birth and VBAC rates.

findingsIn total, 2,786 nurses from 193 hospitals in 23 states were included. Mean cesarean rate was 27.3% (SD 5.9, range 11.7%-47.2%); median VBAC rate 11.1% (IQR 1.78%-20.2%; range 0%-40.1%). There was relatively high adherence to staffing standards (mean, 3.12 of possible 1-4 score). After adjusting for hospital characteristics, nurse staffing was an independent predictor of hospital-level cesarean and VBAC rates (IRR 0.89, 95% CI 0.84-0.95 and IRR 1.58, 95% CI 1.25-1.99, respectively). DISCUSSION: Better nurse staffing predicted lower cesarean birth rates and higher VBAC rates.

conclusionHospitals should be accountable for providing adequate nurse staffing during childbirth.

Indexed as

Cesarean SectionHospitalsLabor, ObstetricNursing Staff, HospitalPersonnel Staffing and SchedulingAdultFemaleHumansPregnancySurveys and QuestionnairesUnited StatesVaginal Birth after CesareanCesarean sectionHospitalHospitalsInpatientsMaternal health servicesNursing staffObstetric nursingPersonnel staffingPregnancyVaginal birth after cesareanWorkforce

Identifiers

PMID39879687
PMCPMC12400853

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.