Evidence map›Paper›PMID 32556257›Full record

ArticleJAMA network open2020

Trends in Neonatal Intensive Care Unit Utilization in a Large Integrated Health Care System.

David Braun, Eric Braun, Vicki Chiu, Anthony E Burgos, Mandhir Gupta, Marianna Volodarskiy, Darios Getahun

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
7.5field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 105 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Birth certificate data substantially misrepresent actual NICU admissions, including among most vulnerable.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  6. Correlation of Transcutaneous pCOPediatric pulmonology · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Universal cervical-length screening to prevent preterm birth in twin pregnancy: cost-utility analysis.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2025
    Article
  15. Variation in NICU utilization: a narrative review and path forward.Journal of perinatology : official journal of the California Perinatal Association · 2025
    Review
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Who's in the NICU? A population-level analysis.Journal of perinatology : official journal of the California Perinatal Association · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

David BraunDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California.
Eric BraunDepartment of Consulting and Implementation, Kaiser Permanente Southern California, Pasadena, California.
Vicki ChiuDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California.
Anthony E BurgosDepartment of Pediatrics, Kaiser Permanente Downey Medical Center, Downey, California.
Mandhir GuptaDepartment of Pediatrics, Kaiser Permanente Downey Medical Center, Downey, California.
Marianna VolodarskiyWomen's and Children's Health Care Leadership Team, Kaiser Permanente Southern California, Pasadena, California.
Darios GetahunDepartment of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California.
Kaiser Permanente · USJohnson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: There are few population-based studies addressing trends in neonatal intensive care unit (NICU) admission and NICU patient-days, especially in the subpopulation that, by gestational age (GA) and birth weight (BW), might otherwise be able to stay in the room with their mothers. Objective: To describe population-based trends in NICU admissions, NICU patient-days, readmissions, and mortality in the birth population of a large integrated health care system. Design, Setting, and Participants: This cohort study was conducted using data extracted from electronic medical records at Kaiser Permanente Southern California (KPSC) health care system. Participants included all women who gave birth at KPSC hospitals and their newborns from January 1, 2010, through December 31, 2018. Data extraction was limited to data entry fields whose contents were either numbers or fixed categorical choices. Rates of NICU admission, NICU patient-days, readmission rates, and mortality rates were measured in the total population, in newborns with GA 35 weeks or greater and BW 2000 g or more (high GA and BW group), and in the remaining newborns (low GA and BW group). Admissions to the NICU and NICU patient-days were risk adjusted with a machine learning model based on demographic and clinical characteristics before NICU admission. Changes in the trends were assessed with 2-sided correlated seasonal Mann-Kendall test. Data analysis was performed in August 2019. Exposures: Admission to the NICU and NICU patient-days among the birth cohort. Main Outcomes and Measures: The primary outcomes were NICU admission and NICU patient-days in the total neonatal population and GA and BW subgroups. The secondary outcomes were readmission and mortality rates. Results: Over the study period there were 320 340 births (mean [SD] age of mothers, 30.1 [5.7] years; mean [SD] gestational age, 38.6 [1.97] weeks; mean [SD] birth weight, 3302 [573] g). The risk-adjusted NICU admission rate decreased from a mean of 14.5% (95% CI, 14.2%-14.7%) to 10.9% (95% CI, 10.7%-11.7%) (P for trend = .002); 92% of the change was associated with changes in the care of newborns in the high GA and BW group. The number of risk-adjusted NICU patient-days per birth decreased from a mean of 1.50 patient-days (95% CI, 1.43-1.54 patient-days) to 1.40 patient-days (95% CI, 1.36-1.48 patient-days) (P for trend = .03); 70% of the change was associated with newborns in the high GA and BW group. The unadjusted 30-day readmission rates and mortality rates did not change. Conclusions and Relevance: Admission rates to the NICU and numbers of NICU patient-days decreased over the study period without an increase in readmissions or mortality. The observed decrease was associated with the high GA and BW newborn population. How much of this decrease is attributable to intercurrent health care systemwide quality improvement initiatives would require further investigation. The remaining unexplained variation suggests that further changes are also possible.

Indexed as

Birth WeightGestational AgeAdultBlack or African AmericanCaliforniaDelivery of Health Care, IntegratedFemaleHumansIncomeInfantInfant, Low Birth WeightInfant MortalityInfant, NewbornIntensive Care Units, NeonatalLength of StayMale

Identifiers

PMID32556257
PMCPMC7303809
OpenAlexW3036376586

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.