Evidence map›Paper›PMID 42348588›Full record

ArticlePloS one2026

Trends and risk factors of patient falls in Korean hospitals: A five-year national reporting data analysis.

Jieun Shin, Yeon-Ju Baek, Nam-Yi Kim

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jieun ShinDepartment of Biomedical Informatics, College of Medicine, Konyang University, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-6192-2610
Yeon-Ju BaekOrgan Transplantation Center, Konyang University Hospital, Daejeon, Republic of Korea.
Nam-Yi KimDepartment of Nursing, Konyang University, Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0003-1973-7726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient falls are among the most frequent and preventable patient safety incidents in hospitals, often resulting in serious injury, prolonged hospitalization, and increased medical costs. Despite the nationwide implementation of the Korea Patient Safety Reporting and Learning System (KOPS), evidence on recent fall trends and risk factors across hospital types remains limited. This study analyzed five-year national reporting data to examine temporal trends and identify predictors of harmful inpatient falls in Korea. A retrospective cross-sectional analysis was conducted using 29,607 fall-related incidents reported to KOPS between 2020 and 2024. Variables included patient demographics, hospital characteristics, medical department, incident time, and level of harm, and multinomial logistic regression was used to identify factors associated with different levels of harm severity (near miss, adverse event, and sentinel event), with near miss as the reference category. Although the proportion of falls among all patient safety incidents declined from 56.0% in 2020 to 38.9% in 2024, the absolute number of reported falls continued to increase. Older adults aged 60 years or older and female patients had significantly higher odds of harmful falls. Long-term care hospitals and large hospitals with 500 beds or more showed elevated risks, while psychiatry and critical care departments recorded the highest proportions of sentinel events. These findings indicate that inpatient falls remain a major safety concern in Korea, particularly among older women and patients in large or long-term care hospitals. Differentiated, evidence-based prevention strategies-such as technology-assisted monitoring in large hospitals and improvements in workforce and environmental conditions in long-term care settings-are needed, alongside strengthened surveillance and data-driven safety management to reduce preventable harm.

Indexed as

Accidental FallsHospitalsPatient SafetyAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedRepublic of KoreaRetrospective StudiesRisk FactorsYoung Adult

Identifiers

PMID42348588
PMCPMC13298754

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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.