Application of Rough Set Theory to Improve Outpatient Medical Service Quality in Public Hospitals Based on the Patient Perspective.
Front Public Health
; 9: 739119, 2021.
Article
in English
| MEDLINE | ID: covidwho-1775890
ABSTRACT
Purpose:
To analyze the key factors and decision-making behaviors affecting overall satisfaction based on perceptual data of outpatients.Methods:
The official satisfaction questionnaire developed by the National Health Commission of the People's Republic of China was used. Rough set theory was used to identify the perception patterns between condition attributes (i.e., service factors) and a decision attribute (i.e., overall service level) and to express them in rule form (i.e., if-then).Results:
The four minimal-coverage rules, with strength exceeding 10% in the good class, and six crucial condition attributes were obtained "Ease of registration (C1)," "Respected by registered staff (C2)," "Registered staff's listening (C3)," "Respected by doctor (C9)," "Signpost (C12)," and "Privacy (C16)." In addition, the average hit rate for 5-fold cross-validation was 90.86%.Conclusions:
A series of decision rules could help decision-makers easily understand outpatients' situations and propose more suitable programs for improving hospital service quality because these decision rules are based on actual outpatient experiences.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Ambulatory Care
/
Hospitals, Public
Type of study:
Observational study
/
Prognostic study
/
Qualitative research
/
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
Front Public Health
Year:
2021
Document Type:
Article
Affiliation country:
Fpubh.2021.739119
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