Evidence map›Paper›PMID 36644687›Full record

ArticleGerontology & geriatric medicine

Improving Fall Detection Devices for Older Adults Using Quality Function Deployment (QFD) Approach.

Kawthar Abdul Rahman, Siti Anom Ahmad, Azura Che Soh, Asmidawati Ashari, Chikamune Wada, Alpha Agape Gopalai

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Article in Gerontology & geriatric medicine. 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

6 authors.

Kawthar Abdul RahmanUniversiti Putra Malaysia, Serdang, Selangor, Malaysia.ORCID https://orcid.org/0000-0003-2608-1657
Siti Anom AhmadUniversiti Putra Malaysia, Serdang, Selangor, Malaysia.
Azura Che SohUniversiti Putra Malaysia, Serdang, Selangor, Malaysia.
Asmidawati AshariUniversiti Putra Malaysia, Serdang, Selangor, Malaysia.
Chikamune WadaKyushu Institute of Technology, Kitakyushu, Japan.
Alpha Agape GopalaiMonash University Malaysia, Subang Jaya, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineering invention must be in tandem with public demands. Often it is difficult to identify the priorities of consumers where technological advancement is needed. In line with the global challenge of increasing fall prevalence among older adults, providing prevention solutions is the key. This study aims at developing an improved fall detection device using an approach called Quality Function Deployment (QFD). The goal is to investigate features to incorporate in existing device from consumer's perspectives. A three-phases design process is constructed; (1) Questionnaire, (2) Ishikawa Method, and (3) QFD. The proposed method begins with identifying customer needs as the requirement analysis, followed by a method to convert them to design specifications to be added in a fall detection device using QFD tool. As the top feature is monitoring balance, the new improved fall detection devices incorporating balance features will help older adults to monitor their level of risk of falling.

Indexed as

assisted livingfallsgerontologypreventiontechnology

Identifiers

PMID36644687
PMCPMC9837266

What OpenQuestion holds

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LicenceCC BY-NC
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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.