Evidence map›Paper›PMID 31829166›Full record

Observational studyBMC geriatrics2019

Patient and system factors associated with unassisted and injurious falls in hospitals: an observational study.

Dawn M Venema, Anne M Skinner, Regina Nailon, Deborah Conley, Robin High, Katherine J Jones

Registry-linked trialOpen access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC geriatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07547644 (EFFECTS OF VIRTUAL REALITY TRAINING USING WII FIT ON BALANCE, GROSS MOTOR FUNCTION, AND AGILITY IN CHILDREN WITH CEREBRAL PALSY -A RANDOMIZED CONTROLLED TRIAL), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.5field-weighted citation impact, top 4% of its field
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.

NCT07547644 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effects of virtual reality training using wii fit on balance, gross motor function, and agility in children with cerebral palsy -a randomized controlled trial

TypeinterventionalSponsorZiauddin UniversityRan2026 to 2026Enrolled56ConditionsCerebral Palsy (CP), Virtual Reality, Balance, Gross Motor Function Classification System (GMFCS) Level I,IIArmsExperimental Group, control group
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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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

6 authors at 3 institutions in 1 country.

Dawn M VenemaDivision of Physical Therapy Education, College of Allied Health Professions, University of Nebraska Medical Center, 984420 Nebraska Medical Center, Omaha, NE, 68198-4420, USA. dvenema@unmc.edu.ORCID 0000-0002-8854-3602
Anne M SkinnerAllied Health Research Administration, College of Allied Health Professions, University of Nebraska Medical Center, 984000 Nebraska Medical Center, Omaha, NE, 68198-4000, USA.
Regina NailonCDC Grants Office, Nebraska Medical Center, 987556 Nebraska Medical Center, Omaha, NE, 68198-7556, USA.
Deborah ConleyPatient Care Administration, Geriatrics, Methodist Hospital, 8303 Dodge St, Omaha, NE, 68114, USA.
Robin HighDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, 984375 Nebraska Medical Center, Omaha, NE, 68198-4375, USA.
Katherine J JonesDivision of Physical Therapy Education, College of Allied Health Professions, University of Nebraska Medical Center, 984420 Nebraska Medical Center, Omaha, NE, 68198-4420, USA.
Nebraska Medical Center · USMethodist Hospital · USUniversity of Nebraska Medical Center · US

Funding

AHRQ HHS R18 HS021429AHRQ HHS R18HS021429
6 · The paper itself

Abstract

backgroundUnassisted falls are more likely to result in injury than assisted falls. However, little is known about risk factors for falling unassisted. Furthermore, rural hospitals, which care for a high proportion of older adults, are underrepresented in research on hospital falls. This study identified risk factors for unassisted and injurious falls in rural hospitals.

methodsSeventeen hospitals reported 353 falls over 2 years. We categorized falls by type (assisted vs. unassisted) and outcome (injurious vs. non-injurious). We used multivariate logistic regression to determine factors that predicted fall type and outcome.

resultsWith all other factors being equal, the odds of falling unassisted were 2.55 times greater for a patient aged ≥65 than < 65 (95% confidence interval [CI] = 1.30-5.03), 3.70 times greater for a patient with cognitive impairment than without (95% CI = 2.06-6.63), and 6.97 times greater if a gait belt was not identified as an intervention for a patient than if it was identified (95% CI = 3.75-12.94). With all other factors being equal, the odds of an injurious fall were 2.55 times greater for a patient aged ≥65 than < 65 (95% CI = 1.32-4.94), 2.48 times greater if a fall occurred in the bathroom vs. other locations (95% CI = 1.41-4.36), and 3.65 times greater if the fall occurred when hands-on assistance was provided without a gait belt, compared to hands-on assistance with a gait belt (95% CI = 1.34-9.97).

conclusionsMany factors associated with unassisted or injurious falls in rural hospitals were consistent with research conducted in larger facilities. A novel finding is that identifying a gait belt as an intervention decreased the odds of patients falling unassisted. Additionally, using a gait belt during an assisted fall decreased the odds of injury. We expanded upon other research that found an association between assistance during falls and injury by discovering that the manner in which a fall is assisted is an important consideration for risk mitigation.

Indexed as

Accidental FallsAgedAged, 80 and overFemaleGeriatric AssessmentHospitals, RuralHumansMaleRisk FactorsAccidental fallsHospitalsPatient safety

Identifiers

PMID31829166
PMCPMC6907170
OpenAlexW2995006644

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.