Evidence map›Paper›PMID 39901131›Full record

ArticleBMC nursing2025

The combined effect of bed-to-nurse ratio and nurse turnover rate on in-hospital mortality based on South Korean administrative data: a cross-sectional study.

Hyun-Young Kim, Yunmi Kim, Jiyun Kim

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hyun-Young KimDepartment of Nursing, Jeonju University, 303 Cheonjam-ro, Wansan-gu, Jeonju-si, 55069, Republic of Korea.ORCID http://orcid.org/0000-0001-8563-9150
Yunmi KimCollege of Nursing, Eulji University, 553 Sanseong-daero, Sujeong-gu, Seongnam-si, 13135, Republic of Korea. kyunm@eulji.ac.kr.ORCID http://orcid.org/0000-0002-6359-8033
Jiyun KimCollege of Nursing, Research Institute of AI and Nursing Science, Gachon University, 191 Hambakmoero, Yeonsu-gu, Incheon, 21936, Republic of Korea.ORCID http://orcid.org/0000-0001-5182-0242

Funding

National Research Foundation of Korea NRF-2020R1F1A1076922
6 · The paper itself

Abstract

BACKGROUND AND

aimNurse staffing levels are associated with patient mortality, but little is known regarding the association between nurse turnover rate and patient mortality. This study investigated the combined effect of the bed-to-nurse ratio and the nurse turnover rate on in-hospital mortality in patients admitted to Korean acute care hospitals using national administrative data.

methodsThis study analyzed data from the National Health Insurance Service (NHIS) on 459,113 admitted patients and 111,342 employed nurses in 403 hospitals in South Korea from January to December 2016. Differences in in-hospital mortality and nurse turnover among hospital characteristics, including the bed-to-nurse ratio, were explored using the chi-square test. Multilevel, multivariate GEE logistic regression analyses were used to examine the combined effect of the bed-to-nurse ratio and the nurse turnover rate on in-hospital mortality.

resultsDuring the study period, 13,675 (3.0%) patients died during hospitalization, and 13,349 (12.0%) nurses left their jobs. The risk of death among patients admitted to hospitals with a bed-to-nurse ratio of < 2.5 and a nurse turnover rate of ≥ 12% was lower than among patients admitted to hospitals with a bed-to-nurse ratio of ≥ 4.5 and a nurse turnover rate of ≥ 12% (odds ratio [OR] = 0.63; 95% confidence interval [CI], 0.48-0.82). The risk of in-hospital mortality decreased further when the nurse turnover rate was < 12% (OR = 0.59; 95% CI, 0.44-0.79).

conclusionThe bed-to-nurse ratio and nurse turnover rate were jointly associated with patient mortality. When hospitals with a low bed-to-nurse ratio also experienced high nurse turnover, the risk of in-hospital mortality was even greater. The finding of this study will help health policy makers to better understand the importance of both nursing staffing levels and nurse turnover rates. It is necessary to create a comprehensive improvement plan that integrates policies aiming to improve nurse staffing levels and reduce turnover rates into a single strategy.

Indexed as

NursesPatient mortalityPersonnel turnoverStaffing

Identifiers

PMID39901131
PMCPMC11792227

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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.