The association between denture self-satisfaction rates and OHRQoL - a follow-up study.
Ontology highlight
ABSTRACT: BACKGROUD:The objectives of this study were to try to identify the key dimension in satisfaction from the combination of satisfaction clusters, and its effect on the change of OHRQoL(Oral Health-related Quality of Life) of elderly denture users. METHODS:This follow-up study was conducted in subjects aged 65?years and over. All participants (n?=?2128) completed questionnaires before and approximately 6?months after receiving complete denture. Information obtained by questionnaire included demographic characteristics, patients' self-satisfaction rate and OHRQoL. The 6 satisfaction dimensions (including speaking, stability, esthetic, chewing, doctor and general dimensions) were classified as 5 cluster groups, which is the group of not at all satisfied in all dimensions (NAS); only satisfied with doctor and general dimensions(SDG); moderate satisfaction group(MS); quite satisfied group(QS); the highly satisfied group(HS) by an analysis of PCA (Principle component analysis) and CA (cluster analysis). Multiple linear regression was adapted to estimate the association between satisfaction and the responsiveness of OHIP-7T (Oral Health Impact Profile). RESULTS:When compared to the cluster "NAS", the greatest improvement of OHRQoL after treatment was found in the group "HS" (??=?7.31(6.26-8.36), followed by group "QS" (??=?4.71(3.54-5.87)), group "MS" (??=?4.33(2.92-5.74)) and group "SDG" (??=?3.25(2.10-4.41)). An increasing trend was detected in patient-rating satisfaction and OHRQoL. The satisfaction cluster group is an important factor of OHRQoL after adjusting for other confounders. CONCLUSION:Psychological-related aspects is the greatest impacting dimension on OHRQoL among denture wearers in Taiwan elderly. Better communication from the dental professional team with denture patients would improve their OHRQoL.
SUBMITTER: Teng CJ
PROVIDER: S-EPMC7218612 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
ACCESS DATA