METHODS: The blends were prepared in a volume ratio of 10:90, 20:80, 40:60, and 60:40 (RBO:SO). The changes in the oxidative parameters and fatty acid composition of the samples during heating at frying temperature (170°C) were determined using analytical and instrumental methods. Oxidative alteration was also monitored by recording FTIR spectra of oil samples.
RESULTS: The increase in oxidative parameters (free fatty acid, color, specific extinctions, peroxide value, p-anisidine value, and thiobarbituric acid value) was greater in pure SO as compared to RBO or blend oils during heating. This indicates that the SO samples incorporated with RBO have the least degradation, while pure SO has the highest. Blending resulted in a lower level of polyunsaturated fatty acids (PUFA) with a higher level of saturated fatty acids (SFA) and monounsaturated fatty acids (MUFA). During heating, the relative content of PUFA decreased and that of SFA increased. However, the presence of RBO in SO slowed down the oxidative deterioration of PUFA. In FTIR, the peak intensities in SO were markedly changed in comparison with blend oils during heating. The reduction in the formation of oxidative products in SO during thermal treatment increased as the concentration of the RBO in SO increased; however, the levels of the protective effect of RBO did not increase steadily with an increase in its concentration.
CONCLUSIONS: During thermal treatment, the generation of hydroperoxides, their degradation and formation of secondary oxidative products as evaluated by oxidative indices, fatty acids and IR absorbances were lower in blend oils compared to pure SO. In conclusion, RBO can significantly retard the process of lipid peroxidation in SO during heating at frying temperature.
MATERIALS AND METHODS: A cross-sectional study conducted online, using Google FormTM recruited 207 Medical Officers from 14 public primary health centres, with a response rate of 74%. The Knowledge, Attitude and Practice Questionnaire for Family Physicians (KAPQFP) was used to assess PCPs' knowledge, attitude and practice in dementia care. Items in each domain were scored on a 4-point Likert scale, with scores ranging from 1 to 4. Each domain's mean score was divided by 4 and converted to a scale of 100, with higher scores indicating better knowledge, attitude and practice. Bivariate analyses were conducted to determine the factors associated with cognitive evaluation practice.
RESULTS: The overall mean practice score was 3.53±0.52 (88.3%), which is substantially higher than the mean score for perceived competency and knowledge of 2.46±0.51 (61.5%). The mean score for attitude towards dementia and collaboration with nurses and other healthcare professionals was 3.36±0.49 (84.0%) and 3.43±0.71 (85.8%), respectively. PCPs with prior dementia training showed better practice (p=0.006), as did PCPs with longer primary care work experience (p=0.038). A significant positive association was found between knowledge-practice ((rs=0.207, p=0.003), attitude towards dementia practice ((rs=0.478, p<0.001), and attitude towards collaboration with other healthcare professionals-practice (rs= 0.427, p<0.001). Limited time and inadequate knowledge regarding dementia diagnosis and cognitive evaluation tools were among the reasons cognitive evaluations were not performed.
CONCLUSION: PCPs demonstrated better practice of cognitive evaluation, as compared to their knowledge and attitude. Given that their perceived competency and knowledge on dementia diagnosis is low and is positively associated with their practice, it is crucial to implement a comprehensive dementia training to enhance their knowledge and confidence on early detection of cognitive decline and cognitive evaluation in order to achieve better dementia detection in primary care.
MATERIALS AND METHODS: This qualitative study involved five public healthcare clinics in the Kuching district with indepth interviews (IDI) conducted on 14 primary care doctors (PCDs). Semi-structured interviews and in-depth discussions were conducted via videoconferencing. One representative was selected from each clinic at initiation, followed by snowball method for subsequent subject selection until saturation of themes. Interviews were transcribed verbatim, and analysis based on framework analysis principles via NVivo software. Themes were analysed deductively according to study objectives and evidence from literature.
RESULTS: Three main themes emerged from the IDI: (1) The perception of depression in elderly patients, (2) The perceived barriers to screening, and (3) The screening processes. Majority of the PCDs perceived depression as part of ageing process. Time constraints, lack of privacy in consultation rooms, dominant caregivers and failure to recognise recurrent somatic symptoms as part of depression influenced PCDs decision to screen. Screening was technically challenging for PCDs to use the DASS-21, which was not socio-culturally validated for local native population. Only 21.4% of respondents (3/14) reported screening at least three out 10 elderly patients seen over 1- month period. During the covid pandemic, due to the same human resource support and practices, most participants thought their screening for depression in elderlies had not changed.
CONCLUSION: Awareness of depression among PCDs needs to be re-enforced via continuous medical education programs to use appropriate screening tools, address infrastructure related barriers to optimise screening practices. The use of appropriate locally validated and socio-culturally adapted tool is vital to correctly interpret the screening test for patients.
METHODS: A comprehensive search of electronic databases, PubMed, Scopus, Google Scholar, Educational Research Complete, and Journal Storage (JSTOR), will be conducted to identify relevant articles. The search will be limited to articles published in the English language between 2000 and 2023. The search strategy will be designed and adapted for each database using a combination of keywords and subject headings related to personalised learning and health sciences higher education. Eligibility criteria will be applied to screen and select articles. Data extraction and quality assessment will be performed, and thematic synthesis will be used to analyse the extracted data.
DISCUSSION: The results of the scoping review will present a comprehensive and coherent overview of the literature on personalised learning in health sciences higher education. Key themes and topics related to personalised learning, its definitions, models, implementation strategies, benefits, and limitations, will be identified. The geographical and temporal distribution of research on personalised learning in health sciences higher education will also be described. This scoping review will provide a structured synthesis of the available evidence on personalised learning in health sciences higher education, highlighting potential gaps and areas for future research. The findings will contribute to ongoing scholarly and policy debates on personalised learning in higher education, informing the development of best practices, guidelines, and future research agendas.