ArticleFrontiers in medicine2025
Optimizing equipment requirements and configuration rules for elderly home treatment environments: a rough set analysis framework.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Age-friendly design of health detection integrated machine: A user requirement-driven approach.Scientific reports · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: With the acceleration of global population aging, elderly individuals in sub-health and pre-frailty states face increasing health risks that undermine quality of life. Home treatment devices offer a promising solution, but the key antecedent conditions and their configurational interactions remain unclear. Methods: This study adopted a configurational approach to identify and analyze the key antecedent conditions influencing elderly users' satisfaction. Potential indicators were collected through an expanded snowballing literature review and refined using the Fuzzy Delphi Method (FDM) with 18 experts (June-July 2025), resulting in nine key conditions across four dimensions. A structured questionnaire was administered to 163 elderly respondents (aged 60-80) in Qingdao, China. Rough set analysis (RSA) was applied, with key configuration selection based on a coverage threshold of 10%. Results: Ten valid rules were obtained, revealing multiple causal pathways for both satisfaction and dissatisfaction. The dominant satisfaction pathway (Safety = 5 and Cost Control = 5) covered 45.37% of cases, whereas the main dissatisfaction pathway (Safety = 2 and Usefulness = 2) covered 35.71%. High safety and usefulness are key conditions, but their effects depend on combinations with cost, cultural, health, and policy-related conditions. Dissatisfaction, in contrast, is often triggered by low levels of basic conditions. These findings demonstrate causal complexity, equifinality, and asymmetry, extending configurational theory to the domain of home treatment devices and providing practical guidance for device design and policy development.
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