METHODS: Potential relevant undergraduate paediatric dentistry topics were initially drafted and revised according to the revised national competency statement. The final draft included 65 topics clustered under 18 domains. A fuzzy Delphi method was used and experts who fulfilled the inclusion criteria were invited to anonymously ranked the importance of relevant topics using a five-point Likert scale and proposed suitable cognitive and psychomotor levels for each topic. Fuzzy evaluation was then performed, and experts were considered to have reached a consensus if the following three conditions were achieved: (a). the difference between the average and expert rating data was ≤ 0.2; (b). the average expert consensus was ˃70%; and (c). the average fuzzy number was ≥ 0.5. Subsequently, the mean ratings were used to determine the cognitive and psychomotor levels.
RESULTS: 20 experts participated in the survey. 64 out of 65 paediatric dentistry topics were deemed acceptable. The average fuzzy number ranged from 0.36 to 0.85, while the average Likert score ranged from 3.05 to 5.00. The topic "Dental amalgam" was rejected based on expert consensus since the average fuzzy number was 0.36. The most significant topic was "Pit and fissure sealant", followed by "Preventive advice", "Early childhood caries", "Dental caries in children & adolescent", "Management of dental caries in paediatric patients", and "Consent" which were equally ranked as the second most important topics. According to Bloom's and Simpson's taxonomies, most of the paediatric dentistry topics were rated adequate for undergraduate students at the cognitive level of "Apply" (C3) and a psychomotor level of "Guided response" (P3).
CONCLUSION: The current study successfully identified relevant undergraduate paediatric dentistry topics using the fuzzy Delphi method, which can facilitate future educators to improve existing Malaysian undergraduate paediatric dental curricula.
METHODS: Three hundred samples were prepared (6 × 2 mm disc shape) and divided into five groups of denture polymers (n = 60) and further subjected into five treatment groups (Polident®, Steradent, distilled water, eugenol 5-minutes, and eugenol 10-min). Three samples were extracted from each treatment group for baseline data (n = 12). Baseline data were used to calculate the initial number of C. albicans adherence. A 0.5 ml immersion solution from each specimen was cultured on YPD agar and incubated for 48 h at 37 °C. Visible colonies were counted using a colony counter machine (ROCKER Galaxy 230).
RESULTS: The result showed that the denture base polymer significantly affected the initial adherence (p = 0.007). The removal of C. albicans was also considerably affected by the denture base polymers and denture cleansers (p