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