Evidence map›Paper›PMID 36699937›Full record

ReviewFrontiers in public health2022

Discernment on assistive technology for the care and support requirements of older adults and differently-abled individuals.

P Muthu, Yongqi Tan, S Latha, Samiappan Dhanalakshmi, Khin Wee Lai, Xiang Wu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 at 4 institutions in 3 countries.

P MuthuDepartment of Biomedical Engineering, SRM Institute of Science and Technology, Chennai, India.
Yongqi TanThe 71st Group Military Hospital of the Chinese People's Liberation Army, Xuzhou, Jiangsu, China.
S LathaDepartment of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India.
Samiappan DhanalakshmiDepartment of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, India.
Khin Wee LaiDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Xiang WuSchool of Medical Information Engineering, Xuzhou Medical University, Xuzhou, China.
SRM Institute of Science and Technology · INChinese People's Liberation Army · CNUniversity of Malaya · MYXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assistive technology for the differently abled and older adults has made remarkable achievements in providing rehabilitative, adaptive, and assistive devices. It provides huge assistance for people with physical impairments to lead a better self-reliant daily life, in terms of mobility, education, rehabilitation, etc. This technology ranges from simple hand-held devices to complex robotic accessories which promote the individual's independence. This study aimed at identifying the assistance required by differently-abled individuals, and the solutions proposed by different researchers, and reviewed their merits and demerits. It provides a detailed discussion on the state of art assistive technologies, their applications, challenges, types, and their usage for rehabilitation. The study also identifies different unexplored research areas related to assistive technology that can improve the daily life of individuals and advance the field. Despite their high usage, assistive technologies have some limitations which have been briefly described in the study. This review, therefore, can help understand the utilization, and pros and cons of assistive devices in rehabilitation engineering and assistive technologies.

Indexed as

RehabilitationSelf-Help DevicesAgedHumansPersons with Disabilitiesassistive technologiesautismintellectual disabilitiesmachine learningtelecare

Identifiers

PMID36699937
PMCPMC9869388
OpenAlexW4315479337

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.