METHOD: A cross-sectional study among pharmacy students. Data were analyzed with Chi-square to find difference at p value < 0.05.
RESULTS: The majority of students (83.07%) responded showing a difference in gender and race. Students showed low willingness (9.2%) to assist patients and low confidence (36.1%) in their education about HIV/AIDS patients. Students recommended HIV testing for health care professionals (69.4%) and patients (75.9%) before surgical procedures. Students knew little about Post Exposure Prophylaxis (18.5%) or about the time for HIV to develop into AIDS (57.4%). About 40% of students were unaware of the inability of antivirals to treat HIV/AIDS. Students had low awareness for opportunistic infections (18.5%), and low agreement on competency to treat and counsel HIV patients (12.9%).
CONCLUSION: The study highlighted students' misconceptions, negative attitudes, and risk perceptions towards HIV/AIDS.
MATERIALS AND METHODS: The Management and Science University conducted a cross-sectional study analyzing responses through cross-tabulation with the socio-demographic data collected.
RESULTS: The findings of our quantitative analysis suggest that Malaysian youth generally possess a moderate knowledge about cancer. Quantitative analyses found that socioeconomic inequalities and bias in education present as important factors contributing to cancer awareness, prevention, and treatment among Malaysian adolescents.
CONCLUSIONS: The findings indicate that Malaysian youth generally possess a moderate knowledge about cancer but the current deficiencies in initiatives directed to cancer awareness continue to hinder the improvement in prevention of cancer among Malaysian adolescents.
METHODS: Validated translated versions of the Hiroshima University-Dental Behavioural Inventory (HU-DBI) questionnaire were administered to 1,096 final-year dental students in 17 countries. Hierarchical cluster analysis was conducted within the data to detect patterns and groupings.
RESULTS: The overall response rate was 72%. The cluster analysis identified two main groups among the countries. Group 1 consisted of twelve countries: one Oceanic (Australia), one Middle-Eastern (Israel), seven European (Northern Ireland, England, Finland, Greece, Germany, Italy, and France) and three Asian (Korea, Thailand and Malaysia) countries. Group 2 consisted of five countries: one South American (Brazil), one European (Belgium) and three Asian (China, Indonesia and Japan) countries. The percentages of 'agree' responses in three HU-DBI questionnaire items were significantly higher in Group 2 than in Group 1. They include: "I worry about the colour of my teeth."; "I have noticed some white sticky deposits on my teeth."; and "I am bothered by the colour of my gums."
CONCLUSION: Grouping the countries into international clusters yielded useful information for dentistry and dental education.