Evidence map›Paper›PMID 39251660›Full record

ArticleScientific reports2024

Neonatologist staffing is related to the inter-hospital variation of risk-adjusted mortality of very low birth weight infants in Korea.

Myung Hee Lee, Jang Hoon Lee, Yun Sil Chang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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.

Myung Hee Lee *Institute of Biomedical and Clinical Research, MEDITOS, Seoul, Republic of Korea.
Jang Hoon Lee *Department of Pediatrics, Ajou University School of Medicine, Suwon, Korea.
Yun Sil ChangDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-Ku, Seoul, 06351, Korea. yschang@skku.edu.

Funding

The Korea National Institute of Health 2022-ER0603-01#The National Research Foundation of Korea NRF-2020R1F1A1075817
6 · The paper itself

Abstract

This study investigated whether hospital factors, including patient volume, unit level, and neonatologist staffing, were associated with variations in standardized mortality ratios (SMR) adjusted for patient factors in very-low-birth-weight infants (VLBWIs). A total of 15,766 VLBWIs born in 63 hospitals between 2013 and 2020 were analyzed using data from the Korean Neonatal Network cohort. SMRs were evaluated after adjusting for patient factors. High and low SMR groups were defined as hospitals outside the 95% confidence limits on the SMR funnel plot. The mortality rate of VLBWIs was 12.7%. The average case-mix SMR was 1.1; calculated by adjusting for six significant patient factors: antenatal steroid, gestational age, birth weight, sex, 5-min Apgar score, and congenital anomalies. Hospital factors of the low SMR group (N = 10) had higher unit levels, more annual volumes of VLBWIs, more number of neonatologists, and fewer neonatal intensive care beds per neonatologist than the high SMR group (N = 13). Multi-level risk adjustment revealed that only the number of neonatologists showed a significant fixed-effect on mortality besides fixed patient risk effect and a random hospital effect. Adjusting for the number of neonatologists decreased the variance partition coefficient and random-effects variance between hospitals by 11.36%. The number of neonatologists was independently associated with center-to-center differences in VLBWI mortality in Korea after adjustment for patient risks and hospital factors.

Indexed as

Infant MortalityInfant, Very Low Birth WeightFemaleGestational AgeHospital MortalityHospitalsHumansInfantInfant, NewbornIntensive Care Units, NeonatalMaleNeonatologyRepublic of KoreaRisk AdjustmentInfantMortalityPrematureStandardized mortality ratioVery low birth weight

Identifiers

PMID39251660
PMCPMC11385627

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.