Evidence map›Paper›PMID 40019049›Full record

ArticleJournal of advanced nursing2025

Falls in Hospitals: Challenging Traditional Risk Assessments With New Insights Into Patient Mobility.

Erik H Hoyer, Daniel L Young, Chi Zhang, Elizabeth Colantuoni, Kimia Ghobadi

Abstract read
In one paragraph

Article in Journal of advanced nursing, 2025. 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
–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

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

5 authors.

Erik H HoyerJohns Hopkins University, Baltimore, Maryland, USA.
Daniel L YoungJohns Hopkins University, Baltimore, Maryland, USA.
Chi ZhangJohns Hopkins University, Baltimore, Maryland, USA.ORCID https://orcid.org/0009-0003-5757-6502
Elizabeth ColantuoniJohns Hopkins University, Baltimore, Maryland, USA.
Kimia GhobadiJohns Hopkins University, Baltimore, Maryland, USA.

Funding

Doctors Company Foundation
6 · The paper itself

Abstract

AIMS AND

objectivesTo explore the association between different aspects of patient functional mobility, specifically, mobility capability (i.e., what the patients could do) versus mobility performance (i.e., what the patients actually did) and hospital falls.

backgroundFall risk assessments are important strategies to mitigate inpatient falls, and mobility is a crucial factor in determining a patient's risk. However, different fall assessment tools vary in how they attribute risk based on mobility difficulties. Understanding how various aspects of mobility uniquely influence fall risk is essential for accurately capturing and assessing a patient's true fall risk.

designA retrospective analysis was conducted using routine electronic medical record data at three hospitals, encompassing 498 patients who experienced falls and 53,708 patients who did not fall.

methodsWe examined patient mobility in three distinct ways and their relationship with in-hospital falls. Mobility was assessed within the first 48 h of admission using the mobility questions in the Johns Hopkins Fall Risk Assessment Tool (JHFRAT). Additionally, we evaluated other aspects of mobility using the AM-PAC scale, which measures mobility capability, and the JH-HLM scale, which assesses mobility performance.

resultsA negative linear/stepwise relationship was observed between both AM-PAC scores and JHFRAT mobility scores with fall incidence, indicating that lower mobility capability is consistently linked to a higher risk of falls. In contrast, the relationship between JH-HLM scores and falls followed an inverse U-shaped curve, with a lower fall incidence in patients with the lowest mobility performance.

conclusionsThis exploratory study highlights that a one-size-fits-all approach to assessing mobility may not accurately capture a patient's true fall risk, emphasising the importance of evaluating different aspects of patient mobility for a more precise assessment. By considering both functional mobility capacity and actual mobility performance, we can better understand and address the unique ways in which mobility impacts fall risk.

Indexed as

AM‐PACfall preventionfallsJH‐HLMrisk Assessment

Identifiers

PMID40019049
PMCPMC12371827

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.