Evidence map›Paper›PMID 37658457›Full record

ArticleJournal of orthopaedic surgery and research2023

Orthopaedic knee scooter-related injury: prevalence and patient safety perception in a prospective cohort with exploratory risk factor analysis.

John P Walsh, Mark S Hsiao, Landon Rosevear, Ryland McDermott, Shivali Gupta, Troy S Watson

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Trial
  2. Review
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.

John P WalshDepartment of Orthopaedic Surgery, Valley Hospital Medical Center, 620 Shadow Lane, Suite 450, Las Vegas, NV, 89121, USA. jwalsh@doclv.com.
Mark S HsiaoThe Foot and Ankle Institute at Desert Orthopaedic Center, Las Vegas, NV, USA.
Landon RosevearDepartment of Orthopaedic Surgery, Valley Hospital Medical Center, 620 Shadow Lane, Suite 450, Las Vegas, NV, 89121, USA.
Ryland McDermottThe Foot and Ankle Institute at Desert Orthopaedic Center, Las Vegas, NV, USA.
Shivali GuptaDepartment of Orthopaedic Surgery, Valley Hospital Medical Center, 620 Shadow Lane, Suite 450, Las Vegas, NV, 89121, USA.
Troy S WatsonDepartment of Orthopaedic Surgery, Valley Hospital Medical Center, 620 Shadow Lane, Suite 450, Las Vegas, NV, 89121, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a paucity of research investigating the harms associated with orthopaedic knee scooter (OKS) use and patient safety perceptions. This prospective study aimed to define the prevalence of OKS-related injuries, describe the patient perceptions of OKS safety, and identify potential risk factors.

methodsThis study was conducted at a single foot and ankle fellowship-trained surgeon's community-based clinic from 6/2020 to 4/2021 and enrolled 134 patients. Our primary outcome was an OKS-related event (injury or fall) and informed an a priori power analysis. Point estimate of association magnitude was calculated as an odds ratio (OR) for statistically and clinically significant associations.

resultsThere were 118 (88%) patients eligible for analysis; fourteen enrolled patients did not use OKS, and two withdrew. The prevalence of patient falls was 37% (44/118), and the prevalence of patient injury was 15% (18/118). Four percent of patients would not recommend OKS and 8% would not use an OKS again. Sedentary lifestyle increased risk (OR = 4.67, 1.52-14.35 95 CI) for OKS-related injury.

conclusionsDespite a high prevalence of patient falls (37%), there is a low prevalence of injury (15%) and a favorable perception of OKS safety. Sedentary lifestyles may be a risk factor for OKS-related injury and should be considered in the development of a risk model.

Indexed as

Knee InjuriesOrthopedicsFactor Analysis, StatisticalHumansPatient SafetyPerceptionPrevalenceProspective StudiesRisk FactorsFoot and ankle surgeryInjuryOrthopaedic knee scooter (OKS)Orthopedic equipmentProspective studySurveys and questionnaires

Identifiers

PMID37658457
PMCPMC10474665

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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.