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… Click to show full 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 n ot at a ll s atisfied in all dimensions (NAS); only s atisfied with d octor and g eneral dimensions(SDG); m oderate s atisfaction group(MS); q uite s atisfied group(QS); the h ighly s atisfied 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” (β = 7.31(6.26–8.36), followed by group “QS” (β = 4.71(3.54–5.87)), group “MS” (β = 4.33(2.92–5.74)) and group “SDG” (β = 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.
               
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