Loading…
Patient Preferences In The Treatment of Periodontal Disease: Multi-Dimensionality and Validity
OBJECTIVES: Parodontopathies refer to all inflammatory diseases of the tooth retaining apparatus. Various treatments are available for therapy. So far, it is unclear which patient-relevant endpoints determine the benefit of treatments. The aim of the study is to document the relative importance of p...
Saved in:
Published in: | Value in health 2017-10, Vol.20 (9), p.A806 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | OBJECTIVES: Parodontopathies refer to all inflammatory diseases of the tooth retaining apparatus. Various treatments are available for therapy. So far, it is unclear which patient-relevant endpoints determine the benefit of treatments. The aim of the study is to document the relative importance of patient-relevant endpoints for therapies in periodontal disease. In addition, it will be examined to what extent changing decision criteria influence the validity of Discrete Choice Experiments (DCE). METHODS: Two randomized online-supported DCEs with different decision models were performed. For each model, six patient-relevant endpoints were considered as attributes for morbidity and side effects of the therapy. "Tooth loosening/tooth loss" was presented as a multi-dimensional attribute with varying severity and the number of teeth concerned. The data were analyzed by Random Parameter Logit (RPL) model and Latent Class (LC) model. RESULTS: Data from N=627 participants (Modell:N=309, Model2:N=318) were evaluated. The results of the RPL-model show in both DCEs that decisions were significantly influenced from "tooth loosening/tooth loss" (Modell:Koef.:0.827; Model2:Coef.:0.885). In the two questionnaire versions, the attributes "tooth loosening/tooth loss", "gum bleeding", "pain in everyday life" and "pain by the therapy" occupied the front ranks and influenced the patients benefit most. Significant standard deviations (p |
---|---|
ISSN: | 1098-3015 1524-4733 |
DOI: | 10.1016/j.jval.2017.08.2403 |