Evidence map›Paper›PMID 28656108›Full record

ArticleJournal of aging research2017

Home Features and Assistive Technology for the Home-Bound Elderly in a Thai Suburban Community by Applying the International Classification of Functioning, Disability, and Health.

Supawadee Putthinoi, Suchitporn Lersilp, Nopasit Chakpitak

Open access · goldAbstract read
In one paragraph

Article in Journal of aging research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.8field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Supawadee PutthinoiDepartment of Occupational Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, 110 Intawaroroj Rd., Sripoom Subdistrict, Meung, Chiang Mai 50200, Thailand.ORCID 0000-0001-5228-6109
Suchitporn LersilpDepartment of Occupational Therapy, Faculty of Associated Medical Sciences, Chiang Mai University, 110 Intawaroroj Rd., Sripoom Subdistrict, Meung, Chiang Mai 50200, Thailand.ORCID 0000-0002-2205-6756
Nopasit ChakpitakChiang Mai University International College, Chiang Mai University, 239 Huaykaew Rd., Chiang Mai 50200, Thailand.ORCID 0000-0001-9498-5696
Chiang Mai University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ageing population is having an impact worldwide and has created a serious challenge in Thailand's healthcare systems, whereby healthcare practitioners play a major role in promoting independent interaction of their client's abilities, as well as environmental factors. The purpose of this study was to survey features of the home and assistive technology (AT) for the home-bound elderly in the community of Chiang Mai, Thailand. Home evaluation included features inside and outside the home, and AT was based on the International Classification of Functioning, Disability, and Health (ICF) concept. Methods included observation and an interview that were used by the researcher for evaluation. The study found that every home had at least one hazardous home feature such as inappropriate width of the door, high door threshold, tall stair steps, no bedside rail, and inappropriate height of the toilet pan. AT was found in houses as general products and technology for personal use in daily living and for personal indoor and outdoor mobility as well as transportation. Therefore, home features and AT can afford the home-bound elderly independent living within the community. Perspective AT according to the ICF concept could provide a common language for ageing in place benefits.

Identifiers

PMID28656108
PMCPMC5471586
OpenAlexW2620656412

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.