Effects of covariates responding significantly differently on different scales should not be summarized using an overall univariate analysis, using paired score differences averaged over all items. Such effect summary would be misleading. In the present study, significant implant-related improvements in OHRQoL were observed on both the aesthetic and FS in patients with at least one implant in the front dental area.

AbstractOral health-related quality of life (OHRQoL) is multifaceted and involves many factors. One of them is the use of dental implants. It was the aim of our study to assess whether implant therapy might improve OHRQoL. We consulted patients with at least one Astra Tech implant. Each patient completed oral health questionnaires, which were then statistically evaluated using the Wilcoxon signed-ranks test and Analysis of Covariance from a functional and aesthetic point of view. Differential response on individual scales was assessed using multivariate approach. All twelve marginal Wilcoxon tests showed an overall improvement in OHQoL (α = 0.05). On the aesthetic scale, OHRQoL was found to be associated with marital status, aesthetic reasons for undergoing surgery and number of front teeth replaced by implants. On the functional scale, three covariates were statistically significantly and appeared to have affected the levels of OHRQoL. The most significant explanatory effect was observed for the number of front teeth replaced via implantation, followed by the presence of chewing problems. Marital status was also found to have significantly affected the OHRQoL functional scale. Significant implant-related improvements in both scales were observed in patients with at least one implant in the front dental area.

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The DentVoice application with the DentCross component showed the practical ability of the temporomandibular joint disorder treatment support.

Background: The research goal of the Dental segment of the Centre of Biomedical Informatics is focused on the electronic health record (EHR) development for dentistry. Objectives: At the beginning there has been constructed an electronic dental cross "DentCross", which was representing patients dental data in the graphical form. It has been completed with the system of the automatic speech recognition (ASR) and voice synthesis module (TTS). Methods: The main goal of this work was to reach the high entirety of the system and its automatization. For this reason it has been completed with the special record medium for the temporomandibular disorders (TMD). Results: Concerning the experience with the old version the knowledge database (KB) for TMD has been structured differently. A classification diagnostic schema by the American Academy of Orofacial Pain (AAOP) has been used. The KB has been created in the MUDR KB Editor application. On this basis a relational database has been constructed and a user interface for data collection based on MUDR and MUDRLite EHR systems was developed. Conclusions: The main advantage of this system is determination of probable diagnosis of the disease (AAOP) by the system ("custom" component). It is based on the MUDr. Radek Hippmann characteristic data, which have been recorded in the electronic form after the investigation. For the creation of the component of its alone MS Visual Studio.NET 2003 development tool has been used. The whole component is programmed in C language.