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Service demand analysis and optimization strategy construction of emergency observation patients based on the Kano model

Authors :
Huan Yao
Peipei Guo
Wei Du
Yingyue Zhang
Tao Li
Gui Xiao
Source :
Heliyon, Vol 10, Iss 16, Pp e36323- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Background: Emergency observation unit in China are characterized by a high number of patients, complexity of diseases, and instability of patient conditions, leading to low patient satisfaction. The Kano model is an effective method widely used to identify customer demands and improve service quality to enhance customer satisfaction. However, its application in emergency observation unit has been studied less. This study aims to design a questionnaire based on the Kano model and identify the demands of emergency observation patients to determine priorities for improvements in the emergency observation unit and improve patient satisfaction. Methods: A cross-sectional study was conducted in Guizhou Provincial People's Hospital from March 21st, 2023, to May 20th, 2023. A convenient sampling method was used to recruit 100 patients from the emergency observation unit, who completed a questionnaire designed based on the Kano model to assess their demands for care service. Data were analyzed using IBM SPSS Statistics 28.0 software. The element selection line and sensitivity analysis were used to determine factors for patient service demand improvement. Results: A total of 13 patient service demands for improvement were screened out from 19 service demands, including 1 item of must-be quality (M), 11 item of one-dimensional quality (O), and 1 item of attractive quality (A), These attributes showed significant differences in patients’ sociodemographic characteristics. Conclusion: The Kano model is a valuable tool for identifying the characteristics of patients' service demands, and the element screening method can be employed to establish the hierarchy of these demands. These results offer crucial direction for creating forthcoming nursing management initiatives in emergency observation unit.

Details

Language :
English
ISSN :
24058440
Volume :
10
Issue :
16
Database :
Directory of Open Access Journals
Journal :
Heliyon
Publication Type :
Academic Journal
Accession number :
edsdoj.664b7363d0c48cd967f64cd455aea49
Document Type :
article
Full Text :
https://doi.org/10.1016/j.heliyon.2024.e36323