Evidence map›Paper›PMID 39724498›Full record

ArticleNursing open2025

Investigating Falls Risk Awareness in Hospitals Using the Self-Awareness of Falls Risk Measure (SAFRM): Empirical Research Quantitative.

Elissa Dabkowski, Simon J Cooper, Jhodie Duncan, Karen Missen

Abstract read
In one paragraph

Article in Nursing open, 2025. 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

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

Who cites it

6 citing papers in PubMed.

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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

4 authors.

Elissa DabkowskiInstitute of Health and Wellbeing, Federation University Australia, Churchill, Victoria, Australia.ORCID https://orcid.org/0000-0003-1199-0698
Simon J CooperSchool of Nursing and Midwifery, Edith Cowan University, Perth, Western Australia, Australia.ORCID https://orcid.org/0000-0001-5561-3099
Jhodie DuncanLatrobe Regional Health, Traralgon West, Victoria, Australia.ORCID https://orcid.org/0000-0001-7996-4969
Karen MissenInstitute of Health and Wellbeing, Federation University Australia, Churchill, Victoria, Australia.ORCID https://orcid.org/0000-0001-5427-6297

Funding

Federation University AustraliaLatrobe Regional Health
6 · The paper itself

Abstract

aimThe overarching aim of this study was to explore patients' falls risk awareness in hospitals using section A of the validated Self Awareness of Falls Risk Measure (SAFRM).

designDescriptive cross-sectional study design.

settingThree rural/regional hospitals in the State of Victoria, Australia.

methodsUsing a purposive sampling strategy, patients were eligible to participate if aged ≥ 40 years, English-speaking, and have ambulatory capacity prior to hospital admission. Participants were excluded from the study if they returned a Standardised Mini-Mental State Examination (SMMSE) score < 18. Falls risk awareness data was collected from both patient and health professionals using section A of the SAFRM. Patient demographic data was collected from patient medical records.

resultsA total of 77 patients (72.9 years ±11.2) and 58 health professionals were recruited. Patients had a significant difference in falls risk awareness when compared to their clinician (z = -2.08, p = 0.038). Regression analyses showed that patients were more likely to overestimate their falls risk if they used anticoagulant medication and if their highest education level was less than or equal year 11. An exploratory factor analysis (EFA) revealed a three-factor solution from section A of the SAFRM, which were labelled Physical Activity Awareness, Cognitive Awareness and Balance Awareness.

conclusionsThere was a significant difference in patients' falls risk awareness compared to a health professional. The independent associations of variables with falls risk awareness, such as age, education level and medication use, further our understanding of the differences in falls risk awareness. The findings also establish that the 15-item section A SAFRM is a reliable and feasible falls risk perception measure for use in hospitals, with future research recommended to evaluate the proposed three-factor model with the addition of tailored hospital falls education. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: The findings from this study establish a significant difference in patients' falls risk awareness compared to their health professional. Section A of the SAFRM is a reliable tool for nurses and other health professionals to establish the presence of a falls risk disparity. The ability to empirically measure this disparity and to determine an under- or overestimation of falls risk is a useful addition to clinical practice. The SAFRM facilitates a person-centred approach to falls prevention by providing opportunities for the clinician to collaborate with the patient and tailor fall prevention strategies. IMPACT: Problem: Inpatient falls in hospital settings. MAIN

findingsThere was a significant difference in patients' falls risk awareness compared to a health professional. Section A of the Self-Awareness of Falls Risk measure is a reliable and feasible tool to identify under- or overestimation of falls risk perception in hospitals. Patients were more likely to overestimate their falls risk if they used anticoagulant medication and if their highest education level was less than year 11. The findings for a three factor-model Physical Activity Awareness, Cognitive Awareness and Balance Awareness could inform future hospital falls education. IMPACT: Registered nurses, health professionals, inpatients. Reporting Method: STROBE checklist for cross-sectional studies. Patient or Public Contribution: This study involved the collection of data from patient participants and registered nurses.

Indexed as

Accidental FallsAwarenessAgedAged, 80 and overCross-Sectional StudiesFemaleHospitalsHumansMaleMiddle AgedRisk AssessmentSurveys and QuestionnairesVictoriafall preventionfallsfalls riskhospitalpatientperception

Identifiers

PMID39724498
PMCPMC11670870

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.