Session Title: Special Issues
Session Date/Time: Friday 15/02/2013 | 08:30-10:00
Paper Time: 09:17
Venue: Hall 2
First Author: : T.Herbst GERMANY
Co Author(s): : J. Förster D. Uthoff
Purpose:
The aim of this study is to identify possible determinants for patient satisfaction with regard to different patient subgroups.
Setting:
Data base for analyses results from “Quality Network Bellevue” (QNB) and “Quality Index Bellevue” (QiB):
Within QNB, Eye Hospital Bellevue is connected to 44 established ophthalmologists. Pre-, peri- and postoperative findings are transferred into different QiBs and collected in a common data base.
Methods:
Different statistical methods will be used: Spearman rank correlation will measure the relationship between patient satisfaction and different independent variables.
For identifying significant differences in ordinal data, we will use Mann-Whitney-Test and Kruskal-Wallis tests. For examinations on aggregate levels, ANOVA test as well as ordinary t-test will be used. The isolated contribution of explanatory variables will be measured by discriminant analysis.
Results:
According to reference criterion “ophthalmologic diseases”, Mann-Whitney-U-Test and Kruskal-Wallis results indicate significant differences for 18 of 27 examined explanatory variables. With regard to total number of significant correlations between patient satisfaction of different diseases and explanatory variables, we received the following results: retinal patients = 4 variables, cataract patients = 12 variables, AMD patients = 3 variables.
Stepwise discrimination analyses show different results: while patient satisfaction of Avastin patients does not have adequate explanatory variables, results for cataract patient (BCVA) as well as for retina patients (anterior chamber, vitreous body) indicate explanatory power of independent variables.
Since data ascertainment is still in process, further analyses will be made.
Conclusions:
A high patient satisfaction seems to be an increasingly important goal for every health care provider. Although this opinion is shared to the greatest possible extent, only little is known about main influence factors in ophthalmology.
Based on an extensive data base, which includes more than 1.5 Mio. medical findings for different ophthalmic procedures, we analyze possible predictors for patient satisfaction. With regard to conducted statistical analyses, we differ between different criteria, like disease, method of payment, etc..
With regard to statistical analyses, patient satisfaction seems to differ between examined subgroups. According to results of discriminant analyses, explanatory variables for patient satisfaction may differ between different diseases. Consequently, process optimization should take place according to medical indication.
Further results may arise in the context of further analyses, which will be undertaken, when data ascertainment is completed. In this context, possible additional results may be observed.
Financial Disclosure:
None
