Evidence map›Paper›PMID 38303686›Full record

ArticleInnovation in aging2024

Defective Assistive Device Involvement in Older Adult Emergency Department Visits.

Felipe Restrepo, Namrata Mali, Laura P Sands, Alan Abrahams, David M Goldberg, Richard Gruss, Nohel Zaman, Wendy Shields, Elise Omaki, Johnathon Ehsani and 2 more

Abstract read
In one paragraph

Article in Innovation in aging, 2024. 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

12 authors.

Felipe RestrepoDepartment of Industrial and Systems Engineering Information Technology, Virginia Tech, Blacksburg, Virginia, USA.
Namrata MaliDepartment of Computer Science, Virginia Tech, Blacksburg, Virginia, USA.
Laura P SandsCenter for Gerontology, Virginia Tech Carilion School of Medicine, Virginia Tech, Blacksburg, Virginia, USA.
Alan AbrahamsDepartment of Business Information Technology, Virginia Tech, Blacksburg, Virginia, USA.
David M GoldbergDepartment of Management Information Systems, San Diego State University, San Diego, California, USA.
Richard GrussDepartment of Management, Radford University, Radford, Virginia, USA.
Nohel ZamanDepartment of Management, Information Systems, and Quantitative Methods, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Wendy ShieldsDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Elise OmakiDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Johnathon EhsaniDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Peter RacthamCenter of Excellence in Operations and Information Management, Thammasat Business School, Thammasat University, Bangkok, Thailand.
Laddawan KaewkitipongCenter of Excellence in Operations and Information Management, Thammasat Business School, Thammasat University, Bangkok, Thailand.

Funding

Progressive Functional Loss in Elders with DependenciesR01AG022090 · NIA · PURDUE UNIVERSITY WEST LAFAYETTE · PI SANDS, LAURA P. · 2004 to 2006
$431k
NIA NIH HHS R01 AG022090
6 · The paper itself

Abstract

Background and Objectives: Many older adults adopt equipment to address physical limitations and reduce dependence on others to complete basic activities of daily living. Although a few prior studies have considered injuries associated with assistive devices for older adults, those studies focused on older adults' health and functional risks for injury. There is limited analysis of older adult injuries involving defective or malfunctioning assistive devices. Research Design and Methods: Data from this study are from the National Electronic Surveillance System All Injury Program which collected data on consumer product-related injuries from a probability sample of 66 hospital Emergency Departments across the United States. Data from 30 776 older adult Emergency Department (ED) injury narratives from 2016 to 2020 were coded according to the assistive device involved and whether malfunctioning led to the injury. The study team manually examined all narratives in which the assistive device was coded to have malfunctioned. Results: A total of 10 974 older adult ED cases were treated for 12 488 injuries involving a defective device. Injuries included 4 212 head and neck injuries (eg, concussion), 4 317 trunk injuries (eg, hip fractures), and 3 959 arm or leg injuries (eg, leg fracture). Of these patients, 4 586 were admitted to a hospital ward for further evaluation and treatment. Seventy percent of these patients were injured while using a walker; in contrast, wheelchairs were implicated in only 4% of the above cases. Design flaws were identified in 8 158 cases and part breakage/decoupling incidents in 2 816 cases. Discussion and Implications: Our findings provide evidence that assistive devices are actively involved in older adult injuries. Further research is needed to reduce injuries associated with assistive devices by educating patients and their careproviders about device use and assembly and developing effective methods for informing manufacturers about malfunctioning devices.

Indexed as

InjuriesMalfunctioning devicesProduct designResponsible productionSafety

Identifiers

PMID38303686
PMCPMC10833462

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.