Assessing caregiver burden: the role of assistive devices and identification of assistive device needs

As the use of assistive devices is associated with caregiver burden, such care devices should be developed and provided to caregivers based on their individual needs.

Authors

Institutions

Publication Details

Journal
Disability and Rehabilitation Assistive Technology
Published
2025-01-09
DOI
https://doi.org/10.1080/17483107.2025.2449998
Citations
5
Primary Topic
Family and Disability Support Research
Type
article
Field-Weighted Citation Impact
11.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing caregiver burden: the role of assistive devices and identification of assistive device needs

Eunmi Oh, Gwi‐Ryung Son Hong, SeolHwa Moon, Daum Chung et al.
5 citations
Disability and Rehabilitation Assistive Technology
Family and Disability Support Research
11.53
article

Assessing caregiver burden: the role of assistive devices and identification of assistive device needs

Eunmi Oh, Gwi‐Ryung Son Hong, SeolHwa Moon, Daum Chung, Rina Choi, Yeji Hwang
article en
5 citations

Abstract

As the use of assistive devices is associated with caregiver burden, such care devices should be developed and provided to caregivers based on their individual needs.

Disability and Rehabilitation Assistive TechnologyVol. 20(5)
Seoul National University (KR), Hoseo University (KR), Hosei University (JP), New Generation University College (ET), National Institute of Nursing Research (US), Hanyang University (KR)
Openalex Percentile: Top 2%
Family and Disability Support Research
11.53
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.