MATERIAL AND METHODS: In this prospective study, 20 IFPP (mean age 47.0; SD 12.9 years) and 28 ISOD (mean age 61.5; SD 9.1 years) patients received 2 mandibular implants. Metal ceramic nonsplinted fixed prostheses were provided in IFPP group, while in ISOD group, the mandibular overdentures were retained by nonsplinted attachments. Patients rated their oral health-related quality of life using OHIP-14 Malaysian version at baseline (T0), 2-3 months (T1) and 1 year (T2) postimplant treatment. Mean OHIP-14 for total and domain scores between groups and intervals was analysed using repeated-measures ANOVA and t-test. Mann-Whitney and Wilcoxon signed-rank tests were used for the comparison of mean score change and effect size, while the association between pre- and post-treatment scores was determined using multivariate linear regression modelling.
RESULTS: The total OHIP and domain scores before implant treatment were significantly higher (lower OHRQoL) in IFPP than in ISOD groups, except for physical pain where this domain showed similar impact in both groups. Postimplant scores between groups at T1 and T2 showed no significant difference. The mean score changes at T0-T1 and T0-T2 for total OHIP-14 and domains were significantly greater in IFPP except in the domains of physical pain and disability which showed no difference. Large effect size (ES) was observed for total OHIP-14 in IFPP while moderate in ISOD. Improved OHRQoL was dependent on the treatment group and pretreatment score.
CONCLUSION: Improvement in OHRQoL occurred following both mandibular implant-supported overdentures and implant fixed partial prostheses.
Patients and Methods: A randomized crossover trial was conducted. Sixty participants were randomized to either i) Arm A: completed CTSA then PBA of OHIP-14, or ii) Arm B: PBA and then CTSA of OHIP-14 within the same day. User preference and time taken to complete the assessments were recorded. Agreement between CTSA and PBA was determined using directional difference (DD), absolute difference (AD), and intraclass correlation coefficient (ICC).
Results: There was no significant difference in CTSA and PBA OHIP-14 scores (P>0.05). The magnitude of the DD in scores between assessment methods was small for overall scores and all domains (<0.3). The AD in OHIP-14 scores was small (~6% for overall score, between 8-16% for domains). Agreement between CTSA and PBA was high (ICC=0.9; 95% CI=0.8-0.9) for overall OHIP-14 scores, but ICC values varied across domains. Most (78%) preferred CTSA. There was no significant difference in time taken to complete assessments (P=0.09). Regression analyses did not identify any significant socio-demographic factor associated with absolute difference between CTSA and PBA scores.
Conclusion: There is equivalence of measurements in OHRQoL assessments from CTSA and PBA, and the time taken to complete assessment by either means is similar. There is a greater preference for CTSA. This has implications to support the use of CTSA in OHRQoL assessments.
METHODS: A sample of 158 preschool children with ECC awaiting dental treatment under GA was recruited over an 8-month period. Parents self-completed the Malay-ECOHIS before and 4 weeks after their child's dental treatment. At 4 weeks follow-up, parents also responded to a global health transition judgement item. Data were analysed using independent and paired samples t tests, ANOVA and Pearson correlation coefficients.
RESULTS: The response rate was 87.3%. The final sample comprised 76 male (55.1%) and 62 female (44.9%) preschool children with mean age of 4.5 (SD = 1.0) years. Following treatment, there were significant reductions in mean scores for total Malay-ECOHIS, child impact section (CIS), family impact section (FIS) and all domains, respectively (P r = 0.165) and CIS change scores (r = 0.175) with the number of decayed teeth (dt), respectively. Similar correlation was also observed between Malay-ECOHIS change scores and the number of extracted teeth (r = 0.129). Based on the global health transition judgement, 62.3% of parents reported their child's oral condition to be "a little improved" while 37.7% reported it to be "much improved" following treatment, with Malay-ECOHIS mean change scores of 6.7 (ES = +1.1) and 9.6 (ES = +1.2), respectively. There was an observed gradient in the Malay-ECOHIS change scores and ES in relation to parents' perception of their child's oral health improvement after treatment, supporting the responsiveness of the measure. The Malay-ECOHIS MID was found to be 7 scale points.
CONCLUSION: The Malay-ECOHIS is empirically shown to be sensitive and responsiveness to dental treatment of ECC under GA.
METHODS: Final-year dental undergraduate students from six dental public universities in Malaysia were invited to participate in an online study using a validated Dental Undergraduates Preparedness Assessment Scale DU-PAS.
RESULTS: In total, about 245 students responded to the online questionnaire yielding a response rate of 83.05%. The age range of the respondents was 23-29 years with a mean age of 24.36 (SD 0.797). The total score obtained by the respondents was ranged from 48 to 100 with a mean score of 79.56 (SD 13.495). Weaknesses were reported in several clinical skills, cognitive and behavioural attributes.
CONCLUSIONS: The preparedness of undergraduate students at six dental institutions in Malaysia was comparable to students from developed countries. The dental undergraduate preparedness assessment scale is a useful tool, and dental institutions may be used for self-assessment as well as to obtain feedback from the supervisors.
STUDY DESIGN: The research was designed as a crossover, randomized control trial.
MATERIALS AND METHODS: Subjects comprised patients receiving fixed appliances at a teaching institution and indicated for VFRs. Post-treatment stone models were scanned with a structured-light scanner. A fused deposition modelling machine was used to construct acrylonitrile-butadiene-styrene (ABS)-based replicas from the 3D scanned images. VFRs were fabricated on the original stone and printed models. Analysis comprised independent t-tests and repeated measures analysis of variance.
RANDOMIZATION: Subjects were allocated to two groups using Latin squares methods and simple randomization. A week after debond, subjects received either VFR-CV first (group A) or VFR-3D first (group B) for 3 months, then the interventions were crossed over for another 3 months.
BLINDING: In this single-blinded study, subjects were assigned a blinding code for data entry; data were analysed by a third party.
OUTCOME MEASURES: The primary outcome measured was oral health-related quality of life (OHRQoL) based on Oral Health Impact Profile-14 (OHIP-14). Secondary outcome was post-treatment stability measured using Little's Irregularity Index (LII).
RESULTS: A total of 30 subjects (15 in each group) were recruited but 3 dropped out. Analysis included 13 subjects from group A and 14 subjects from group B. Group A showed an increase in LII (P < 0.05) after wearing VFR-CV and VFR-3D, whereas group B had no significant increase in LII after wearing both VFRs. Both groups reported significant improvement in OHRQoL after the first intervention but no significant differences after the second intervention. LII changes and OHIP-14 scores at T2 and T3 between groups, and overall between the retainers were not significantly different. No harm was reported during the study.
CONCLUSION: VFRs made on ABS-based 3D printed models showed no differences in terms of patients' OHRQoL and stability compared with conventionally made retainers.
REGISTRATION: NCT02866617 (ClinicalTrials.gov).
MATERIALS AND METHODS: This was a randomised control clinical trial at the Faculty of Dentistry, University of Malaya. A total of 66 obese patients with chronic periodontitis were randomly allocated into the treatment group (n=33) who received NSPT, while the control group (n=33) received no treatment. Four participants (2 from each group) were non-contactable 12 weeks post intervention. Therefore, their data were removed from the final analysis. The protocol involved questionnaires (characteristics and OHRQoL (Oral Health Impact Profile-14; OHIP-14)) and a clinical examination.
RESULTS: The OHIP prevalence of impact (PI), overall mean OHIP severity score (SS) and mean OHIP Extent of Impact (EI) at baseline and at the 12-week follow up were almost similar between the two groups and statistically not significant at (p=0.618), (p=0.573), and (p=0.915), respectively. However, in a within-group comparison, OHIP PI, OHIP SS, and OHIP EI showed a significant improvement for both treatment and control groups and the p values were ((0.002), (0.008) for PI), ((0.006) and (0.004) for SS) and ((0.006) and (0.002) for EI) in-treatment and control groups, respectively.
CONCLUSION: NSPT did not significantly affect the OHRQoL among those obese with CP. Regardless, NSPT, functional limitation and psychological discomfort domains had significantly improved.
TRIAL REGISTRATION: ( NCT02508415 ). Retrospectively registered on 2nd of April 2015.
MATERIALS AND METHODS: A total of 312 international graduate students completed a web-based questionnaire, including measures of acculturative stress (ASSIS-36), perceived stress scale (PSS-4), social support (MSPSS-12), oral health perceptions (global rating item), and oral health-related quality of life (OHRQoL, OIDP-8). The hypotheses of the conceptual model were tested using structural equation modeling-partial least squares (SEM-PLS) with the support of SmartPLS.
RESULTS: Twenty-seven percent (27.1%) of the variance in OHRQoL was explained by acculturative stress, perceived stress, social support, and oral health perceptions. The path coefficient between oral health perception and OHRQoL was the strongest (β = -0.385, P < 0.001). Acculturative stress directly influenced OHRQoL (β = 0.20, P = 0.009) and indirectly through perceived stress (β = 0.05, P = 0.019). Social support mediated the relationship between perceived stress and OHRQoL (β = 0.046, P = 0.02). The overall predictive power of the model was 23%.
CONCLUSION: Results indicated that acculturative stress, perceived stress, and social support are among the predictors of OHRQoL. Oral health perceptions and acculturative stress were the most significant predictors that contributed the largest amount to the model. The findings emphasize the potential role of psychosocial factors in relation to oral health. The empirical evidence of this study could facilitate the planning of targeted strategies that address stress reduction and social support. Such strategies might be a new promising way to enhance OHRQoL as these elements can be modified and response to interventions.