Page 79 - Impact of implant retained overdenture treatment and speech, oromyofunction, social participation and quality of life.

Speech and OHRQoL in OD treatment in the maxilla
stage of the treatment. Interrater reliability is displayed in table 2. The average number of unique articulation disorders was calculated and changes were calculated statistically by using a Wilcoxon matched-pairs signed rank test.
Satisfaction and quality of life
To narrow possible bias, subjects rated their satisfaction levels before the speech assessment. Patients were asked to score the satisfaction with their speech and the overall satisfaction with their oral health on a Visual Analogue Scale (VAS) of 100 mm (on the left end 0% (dissatisfaction) and on the right 100% (maximal satisfaction)). The oral health-related quality of life was measured using the Dutch shortened version of the Oral Health Impact Profile (OHIP-14) (Appendix 1).13,37 Subjects were asked to answer 14 questions in seven different domains: functional limitation, physical pain, psychological discomfort, physical, psychological and social disability, and handicap. The responses were rated by a 5-point Likert-type scale ranging from 0 to 4 (0 = never, 1 = almost never, 2 = sometimes, 3 = often, 4 = very often). The sum of the 14 individual questions yielded the OHIP-14 total score. A score of 56/56 represents a maximal negative OHRQoL and 0/56 indicates that the person experiences no impact of the treatment on the OHRQoL.
Statistical analysis
The Wilcoxon matched-pairs signed rank test was used to compare intra- patient changes in number of articulation disorders, oral health-related quality of life, and satisfaction with their speech and their overall oral health, between the different phases of the treatment. To compare the type of articulation disorders, the McNemar’s test was performed. The Cohen’s kappa coefficient was used to rate the inter-rater reliability. The Bonferroni correction for multiple comparisons was applied and all significance levels were set at α = 0.05/3 (= 0.0167). SPSS Statistics 27 (IBM SPSS statistics for Windows, version 27.0. Armonk, NY: IBM Corp) was used to analyse the data. A post hoc power analysis indicated 72% to 100% power for the speech related variables.
The authors state compliance with the STROBE checklist.
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