[Predictors of the level of patient satisfaction in a university hospital].
BACKGROUND
Client satisfaction is an important indicator of the quality of services, and health care is not an exemption.


OBJECTIVE
To explore and establish the predictors that exert the greater influence on the level of satisfaction with the service offered in a University Hospital.


METHODS
The source of the study is a data base, obtained from a survery made to 355 patients of the Hospital Clínico de la Pontificia Universidad Católica de Chile prior to discharge. A multiple regression analysis was used to determine the relative importance of the different factors in the quality of service. The regression variables were reduced to a number of factors, obtained of Factorial Analysis and a Varimax rotation, allowing them to clarify their relations.


RESULTS
After performing the main components analysis, seven factors or dimensions that explained a 69% of the total variance were obtained. The predictive model explains up to 40% of the criterion variable (Global Satisfaction during the hospitalization). The factor with the greatest predictive power was the relationship between the patients and nursing staff. Other factors that emerged as important were communication, medical attention and room conditions.


CONCLUSIONS
Perceptive type components had the greater relative weight to determine the level of patient satisfaction in this survey.
Castillo
Luis
L
Hospital Clínico-Pontificia Universidad Católica de Chile, Chile. castillo@med.puc.cl
Dougnac
Alberto
A
Vicente
Irene
I
Muñoz
Víctor
V
Rojas
Víctor
V
D000293:Adolescent; D000328:Adult; D000704:Analysis of Variance; D002677:Chile; D003695:Delivery of Health Care / Q000592:standards / Q000706:statistics & numerical data*; D019538:Health Care Surveys; D006760:Hospitalization / Q000706:statistics & numerical data*; D006785:Hospitals, University; D006801:Humans; D008875:Middle Aged; D017060:Patient Satisfaction / Q000706:statistics & numerical data*; D011369:Professional-Patient Relations; D011785:Quality Assurance, Health Care / Q000592:standards* / Q000706:statistics & numerical data; D019984:Quality Indicators, Health Care / Q000592:standards* / Q000706:statistics & numerical data; D012044:Regression Analysis