A Method for Evaluating the Age-friendly Level in Hospitals Based on the Importance and Satisfaction
DOI: 10.23977/jeis.2023.080614 | Downloads: 12 | Views: 233
Author(s)
Dongyu Hong 1, Shenqun Li 1, Junyi Wu 1, Mingxuan Fan 1, Hongming Chen 1
Affiliation(s)
1 School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Corresponding Author
Hongming ChenABSTRACT
Hospital age-friendly design is an important part of the medical security system, and how to evaluate it specifically is of great significance. This paper establishes a complete set of age-friendly methods, and firstly formulates the hospital age-friendly indexes through ergonomics evaluation. Subsequently, the Likert fuzzy semantic scale is used to collect expert opinions, and the independence of the indicators is screened and updated by Pearson correlation test. After that, the updated indicators were assigned importance using the objective CRITIC weighting method. Taking Wuhan Union Hospital as an example, the questionnaire design was used to evaluate the satisfaction of the elderly with each aging indicator of the hospital by using the fuzzy comprehensive evaluation method. Finally, using the BCG Matrix, combined with the importance degree and satisfaction data, it summarizes the aspects of Wuhan Union Medical College that are in urgent need of ageing improvement and the advantages that need to be maintained. This method is universal and can provide important references and improvement suggestions for the aging-friendly design of the hospital, and provide practical care for the actions of the elderly in the hospital, which is of high value.
KEYWORDS
Human Factors Engineering, Evaluation of Age-friendly, Ergonomics, Fuzzy Comprehensive Evaluation Method, BCG MartrixCITE THIS PAPER
Dongyu Hong, Shenqun Li, Junyi Wu, Mingxuan Fan, Hongming Chen, A Method for Evaluating the Age-friendly Level in Hospitals Based on the Importance and Satisfaction. Journal of Electronics and Information Science (2023) Vol. 8: 111-120. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2023.080614.
REFERENCES
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