Evidence map›Paper›PMID 35851400›Full record

ArticleScientific reports2022

A retrospective cohort study of factors associated with severity of falls in hospital patients.

Manonita Ghosh, Beverly O'Connell, Ebenezer Afrifa-Yamoah, Sue Kitchen, Linda Coventry

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
15.2field-weighted citation impact, top 1% 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.

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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Hospital-at-Home Patient Fall Predictors.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025
    Article
  11. Evaluation of Risk Factors for Fall Incidence Based on Statistical Analysis.International journal of environmental research and public health · 2025
    Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Validation of the Saga Fall Injury Risk Model.International journal of medical sciences · 2024
    Observational
  17. Article
  18. Article
  19. Article
  20. Preventing Patient Falls Overnight Using Video Monitoring: A Clinical Evaluation.International journal of environmental research and public health · 2022
    Article
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 at 2 institutions in 1 country.

Manonita GhoshSchool of Nursing and Midwifery, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia. m.ghosh@ecu.edu.au.
Beverly O'ConnellSchool of Nursing and Midwifery, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia.
Ebenezer Afrifa-YamoahSchool of Science, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia.
Sue KitchenCNC Clinical Lead Falls Management and Chair Falls MD Committee, Sir Charles Gairdner Hospital, Perth, WA, 6009, Australia.
Linda CoventrySchool of Nursing and Midwifery, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA, 6027, Australia.
Edith Cowan University · AUSir Charles Gairdner Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severity of falls in hospital patients are threat to patient safety which can result in a financial burden on the patient's family and health care services. Both patient specific and environmental and organisational factors are associated with severity of falls in hospital. It is important to continuously analyse the factors associated with severity of fall which can inform the implementation of any fall preventive strategies. This study aims to identify factors associated with the severity of falls in hospitalised adult patients in Western Australia. This study involved a retrospective cohort analysis of inpatient falls records extracted from the hospital's Clinical Incident Database from May 2014 to April 2019. Severity of falls were classified as three Severity Assessment Code (SAC): SAC 1 was "high" causing serious harm or death; SAC 2 was "medium" causing moderate or minor harm; and SAC 3 was "low" indicating no harm. Univariable and multivariable generalised ordinal logistic regression models were used to quantify the magnitude of effects of the potential risk factors on severity of falls at 5% level of significance and reported the crude odds and adjusted odds ratio of falling at a higher severity level. There were 3705 complete reported cases of falls with the average age of the patients was 68.5 ± 17.0 years, with 40.2% identified as female. The risk of falling at a higher level of severity increased by patient age over 50 years. Females were 15.1% more likely to fall at higher severity level compared to females. Fall incidents occurred during toileting and showering activities and incidents in a communal area were 14.5% and 26% more likely to occur at a higher severity respectively. Similarly, depression (167%), influence of alcohol or illicit drugs (more than 300%), use of medications (86%) and fragile skin (75%) significantly increased the odds of falling at higher level of severity. Identification of underlying risk factors associated with fall severity provides information which can guide nurses and clinicians to design and implement effective interventional strategies that mitigate the risk of serious fall injuries. The results suggest that fall prevention strategies should target patients with these risk factors to avoid severity of falls.

Indexed as

Accidental FallsInpatientsAdultAgedAged, 80 and overCohort StudiesFemaleHospitalsHumansMiddle AgedRetrospective StudiesRisk Factors

Identifiers

PMID35851400
PMCPMC9293967
OpenAlexW4285729259

What OpenQuestion holds

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LicenceCC BY
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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.