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.
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.
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.
METHODS: Relevant data from multiple data sources which include national oral health and health surveys, national census, extensive systematic literature reviews, as well as discussion with experts, were used to estimate the economic burden of non-surgical periodontal management in specialist clinics in Malaysia in 2020. This estimation was done from the oral healthcare provider's perspective in both public and private sectors using an irreducible Markov model of 3-month cycle length over a time horizon of one year.
RESULTS: In 2020, the national economic burden of non-surgical periodontal treatment during the first year of periodontal management in specialist clinics in Malaysia was MYR 696 million (USD 166 million), ranging from MYR 471 million (USD 112 million) to MYR 922 million (USD 220 million). Of these, a total of MYR 485 million (USD 115 million) and MYR 211 million (USD 50 million) were the direct oral healthcare cost in public and private dental clinics, respectively.
CONCLUSION: The findings of this study demonstrated substantial economic burden of non-surgical periodontal management in specialist clinics in Malaysia. Being a life-long disease, these findings highlight the importance of enforcing primary and secondary preventive measures. On the strength and reliability of this economic evidence, this study provides vital information to inform policy- and decision-making regarding the future direction of managing periodontitis in Malaysia.
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.
MATERIALS AND METHODS: Study participants were 113 persons with DS from the selected community-based rehabilitation center who fulfilled the inclusion and exclusion criteria. Ten occlusal characteristics of the Dental Aesthetic Index (DAI) were measured on study models to determine the degree of malocclusion. A single score represented the dentofacial anomalies, determined the level of severity, and determined the need for orthodontic treatment.
RESULTS: Crowding in the anterior maxillary and mandibular arch was the main malocclusion problems among the subjects with DS. Comparison between age group and genders revealed no significant differences in four categories of orthodontic treatment need (P > .05).
CONCLUSION: Most of the subjects with DS (94; 83.2%) had severe and very severe malocclusion, which indicated a desirable and mandatory need for orthodontic treatment.