Evidence map›Paper›PMID 41826360›Full record

ArticleScientific reports2026

Implementation of a multifactorial fall intervention model to guide hospital nurses: A quasi-experimental before-and-after study.

Changju Liao, Linghong Guo, Pengjie Li, Yin Liu

Abstract read
In one paragraph

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

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Changju Liao *Department of Nursing, Zigong First People's Hospital, Zigong, Sichuan, China.
Linghong Guo *Department of Pharmacology and Nursing, Sichuan Vocational College of Health and Rehabilitation, Zigong First People's Hospital, Zigong, Sichuan, China. linhom.guo@foxmail.com.
Pengjie LiDepartment of Pharmacology and Nursing, Sichuan Vocational College of Health and Rehabilitation, Zigong First People's Hospital, Zigong, Sichuan, China.
Yin LiuDepartment of Pharmacology and Nursing, Sichuan Vocational College of Health and Rehabilitation, Zigong First People's Hospital, Zigong, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Falls are serious public health problems associated with irreversible health consequences and substantial economic burden, which are currently difficult to prevent and manage. Nurses have always been the main force in the prevention and control of falls. To develop and evaluate a comprehensive fall intervention model for hospital nurses to manage falls. This was a quasi-experimental study to evaluate the effect of a newly designed hospital fall intervention model on fall management by nurses. The control group consisted of 153,601 hospitalized patients who received standard fall care from 2015 to 2016, while the Multifactorial Fall Intervention Model (MFIM) group included 171,776 inpatients managed with the new intervention model from 2017 to 2018. Patients' information and data were extracted from the medical records of our hospital. We recorded a total of 396 falls in the MFIM group with a remarkably declined fall rate (MFIM group: 0.22% vs. control group: 0.31%, p = 0.000) and fall rate per 1000 patient-days (0.22‰ vs. 0.29‰, p = 0.000) as compared with a total of 491 falls in the control group. The adjusted incidence rate ratio of falls was 0.721. Furthermore, the occurrence and the severity of fall injuries in the MFIM group were significantly lower than that in the control group. The MFIM model demonstrated a favorable effect in reducing the occurrence of falls and fall-related injuries among hospitalized patients. These findings suggest that the implementation of MFIM can significantly enhance patient safety and should be considered for broader adoption in hospital settings to mitigate fall risks.

Indexed as

Accidental FallsNursing Staff, HospitalAgedAged, 80 and overFemaleHospitalizationHumansMaleMiddle AgedFallFall injuriesFall preventionModelNursing guidance

Identifiers

PMID41826360
PMCPMC13009463

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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.