METHODS: Undergraduate students [N=80] of three schools participated in a cross-over study. Two theory-driven classroom based lectures on MICAP notation and FDI notation were delivered separately. Data were collected using eight randomly selected permanent teeth to be written in MICAP format and FDI format at pretest (before the lecture), post-test I (immediately after lecture) and post-test II (one week after the lecture). Analysis was done by SPSS version 20.0 using repeated measures ANCOVA and independent t-test.
RESULTS: The results of pre-test and post-test I were similar for FDI education. Similar results were found between post-test I and post-test II for MICAP and FDI notations.
CONCLUSION: The study findings indicated that the two notations (FDI and MICAP) were equally mind cognitive. However, the sample size used in this study may not reflect the global scenario. Therefore, we suggest more studies to be performed for prospective adaptation of MICAP in dental curriculum.
METHODS: A quantitative cross-sectional study was conducted conveniently among 381 individuals from the low-income group in Selangor, Malaysia. The remote data collection (RDC) method was used to gather data. Validated interviewer-rated questionnaires were used to collect data via phone call. Respondents included in the study were 18 years and older. A normality of numerical variables were assessed using Shapiro-Wilk test. Univariate analysis of all variables was performed, and results were presented as means, mean ranks, frequencies, and percentages. Mann-Whitney U test or Kruskal Wallis H test was applied for the comparison of DHL and health information seeking behavior with characteristics of the participants. Multivariate linear regression models were applied using DHL as dependent variable and health information seeking behavior as independent factors, adjusting for age, gender, marital status, educational status, employment status, and household income.
RESULTS: The mean age of the study participants was 38.16 ± 14.40 years ranging from 18 to 84 years. The vast majority (94.6%) of participants stated that information seeking regarding COVID-19 was easy or very easy. Around 7 percent of the respondents cited reading information about COVID-19 on the internet as very difficult. The higher mean rank of DHL search, content, reliability, relevance, and privacy was found among participants who were widowed, had primary education, or unemployed. An inverse relationship was found between overall DHL and confidence in the accuracy of the information on the internet regarding COVID-19 (β = -2.01, 95% CI = -2.22 to -1.79).
CONCLUSION: It is important to provide support to lower-income demographics to assist access to high-quality health information, including less educated, unemployed, and widowed populations. This can improve overall DHL.