Evidence map›Paper›PMID 41776233›Full record

ArticleScientific reports2026

Age-friendly design of health detection integrated machine: A user requirement-driven approach.

Yuanwu Shi, Yongxia Xie

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Yuanwu ShiSchool of Art and Design, Wuhan Textile University, Wuhan, 430073, China.
Yongxia XieSchool of Art and Design, Wuhan Textile University, Wuhan, 430073, China. 102011328@hbut.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To precisely gauge and effectively prioritize the needs of elderly users, it is essential to transform these needs into key elements of product design and to explore innovative strategies for developing aging-friendly products that enhance user satisfaction. Initially, the analytic network process (ANP) is employed to construct a dual-layer correlation structure, which includes the network layer of elderly users’ requirements and the control layer of aging-friendly design specifications. This structure allows for the quantitative analysis of the relationships and feedback between elderly users’ needs and various design specifications, thereby determining a more accurate prioritization of these needs. Subsequently, the quality function deployment (QFD) method is utilized to create a House of Quality, which specifically examines the technical characteristics that require enhancement in products for the elderly. Finally, the integration of user journey mapping with the situational function-behavior-structure (FBS) model addresses the challenge of translating these needs into functional elements of the product, guiding the innovative design of aging-friendly products. Based on the needs of elderly users, demonstrated the application feasibility of this methodological framework in age-friendly product design, thereby improving the satisfaction of elderly care. The integrated application of ANP, QFD, and situational FBS effectively transforms the needs of elderly users into practical design directives and appropriate aging-friendly strategies. This study demonstrates the feasibility of this methodology through a case study involving the aging-friendly design of health detection integrated machine.

Indexed as

AgingEquipment DesignAgedHumansAging-friendly designAnalytic Network ProcessDemand analysisElderly health detection integrated machineFunction-Behavior-StructureQuality Function Deployment

Identifiers

PMID41776233
PMCPMC13065823

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.