DocumentCode :
243558
Title :
Factors of Patient Satisfaction Based on Distant Analysis in HCAHPS Databases
Author :
Okuda, Masumi ; Yasuda, Akira ; Tsumoto, Shusaku
Author_Institution :
Nursing Dept., Matsue Red Cross Hosp., Matsue, Japan
fYear :
2014
fDate :
14-14 Dec. 2014
Firstpage :
328
Lastpage :
337
Abstract :
HCAHPS patient survey data stratified by survey response size were analyzed to explore patient satisfaction factors by correlations and distance analysis. Hospitals whose response size were 300 and over showed different similarities among survey questions from hospitals whose response size were smaller, which could be explained by hospital structure difference, such as hospital specialties. Correlations and distant analysis exhibited different results. Distant analysis has a potential to explore the hidden structure in patient satisfaction.
Keywords :
correlation methods; database management systems; health care; medical information systems; HCAHPS database; HCAHPS patient survey data; correlation analysis; distance analysis; distant analysis; hospital specialty; hospital structure difference; patient satisfaction factor; survey response size; Correlation; Data mining; Discharges (electric); Hospitals; Pain; Surgery; HCAHPS survey; clustering analysis; distant anaysis; hospital specialty; structure of patient satisfaction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4799-4275-6
Type :
conf
DOI :
10.1109/ICDMW.2014.165
Filename :
7022615
Link To Document :
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