Evidence map›Paper›PMID 36852629›Full record

ArticleNursing open2023

Calculating the optimal number of nurses based on nursing intensity by patient classification groups in general units in South Korea: A cross-sectional study.

Yukyung Ko, Bohyun Park

Abstract read
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Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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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

2 authors.

Yukyung KoDepartment of Nursing, College of Medicine, Wonkwang University, Iksan, South Korea.ORCID 0000-0002-9011-0515
Bohyun ParkDepartment of Nursing, Changwon National University, Changwon, South Korea.ORCID 0000-0002-0449-0911

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to calculate the total daily nursing workload and the optimal number of nurses per general unit based on the nursing intensity.

designThis study was conducted using a cross-sectional study.

methodsThree units at one general hospital were investigated. Patient classification according to nursing needs was performed for over 10 days in each unit in September 2018. The direct and non-direct nursing time and nursing intensity scores were analysed using descriptive statistics.

resultsFor the internal medicine unit, the average direct nursing time per patient was 1.0, 1.5, 2.2 and 2.9 h for Groups 1, 2, 3 and 4, respectively. For the surgical unit, the average direct nursing time per patient was 0.9, 1.4, 2.1 and 2.6 h for Groups 1, 2, 3 and 4, respectively. 5 and 9 additional nurses were needed in the internal medicine and surgical nursing units. PATIENT CONTRIBUTION: This study confirmed that the optimal number of nurses was not achieved and that the nursing intensity was very high. Long-term efforts, such as improving the nursing environment, should be made to ensure an optimal number of nurses in various nursing units.

Indexed as

Hospitals, GeneralInternal MedicineCross-Sectional StudiesHumansPatientsRepublic of Koreageneral unitsnursing intensitynursing timepatient classification

Identifiers

PMID36852629
PMCPMC10170926

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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.