DESIGN: A cross-sectional pilot study was conducted.
SETTING: An urban setting in Kuala Lumpur.
PARTICIPANTS: 26 older people aged 60 and over were recruited from the control group of a related research project in Malaysia, in addition to older people known to the researchers.
PRIMARY OUTCOME MEASURE: The HOME FAST was applied with the baseline survey for the MELoR study via a face-to-face interview and observation of the home by research staff.
RESULTS: The majority of the participants were female, of Malay or Chinese ethnicity and living with others in a double-storeyed house. Falls were reported in the previous year by 19% and 80% of falls occurred at home. Gender and fear of falling had the strongest associations with home hazards. Most hazards were detected in the bathroom area. A small number of errors were detected in the HOME FAST ratings by researchers.
CONCLUSIONS: The HOME FAST is feasible as a research and clinical tool for the Malaysian context and is appropriate for use in the MELoR study. Home hazards were prevalent in the homes of older people and further research with the larger MELoR sample is needed to confirm the validity of using the HOME FAST in Malaysia. Training in the use of the HOME FAST is needed to ensure accurate use by researchers.
METHOD: A descriptive cross-sectional study was conducted among the general population of Pakistan to investigate the knowledge and perception about hand hygiene, self-reported hand hygiene practices, adherence to hand hygienic guidelines, and barriers to optimal hand hygiene. Kruskal-Wallis test, Mann-Whitney U test, and Regression model were used for statistical analysis.
RESULTS: There was a significant difference in area-based knowledge (P = 0.026), beliefs (P = 0.027), and practices (P = 0.002) regarding hand hygiene. The results of regression analysis revealed that people in urban areas were more likely to have better knowledge (β = 0.108, CI = 0.076 - 0.05, P = 0.008) and better adherence (β = 0.115, CI = 0.514 - 2.68, P = 0.004) to hand hygienic practices.
CONCLUSION: Advertisements on television and other electronic media with appealing slogans could be effective in making people more compliant to optimal hand hygienic practices.
RESULT: We tested Naive Bayes, Logistic Regression, KNN, J48, Random Forest, SVM, and Deep Neural Network algorithms to ASD screening dataset and compared the classifiers' based on significant parameters; sensitivity, specificity, accuracy, receiver operating characteristic, area under the curve, and runtime, in predicting ASD occurrences. We also found that most of previous studies focused on classifying health-related dataset while ignoring the missing values which may contribute to significant impacts to the classification result which in turn may impact the life of the patients. Thus, we addressed the missing values by implementing imputation method where they are replaced with the mean of the available records found in the dataset.
CONCLUSION: We found that J48 produced promising results as compared to other classifiers when tested in both circumstances, with and without missing values. Our findings also suggested that SVM does not necessarily perform well for small and simple datasets. The outcome is hoped to assist health practitioners in making accurate diagnosis of ASD occurrences in patients.