Methods: A cross-sectional study was conducted among elderly patients that seeking treatment in a primary care clinic in Malaysia from September to November 2018 using a set of researcher-assisted and validated questionnaire on their consent.
Findings: A total of 182 elderly patients were included in this study. A majority of participants (n = 87, 47.8%) admitted experiencing practical problems with their medication use. There are varieties of choice of management strategy employed by elderly patients to overcome the problems. For the willingness to deprescribing, there were positive correlation for patients' age (rs (182) =0.183, P < 0.05) and number of medications (rs (182) =0.271, P < 0.01) with the burden factor. There were also a negative correlation of age (rs (182) = -0.174, P < 0.05) and number of medication (rs (182) = -0.176, P < 0.04) with appropriateness of medications.
Conclusion: A majority of Malaysian elderly experience practical problems with their medication use. Elderly patients' belief and attitudes toward deprescribing were influenced by age and number of medications.
OBJECTIVE: We determined the agreement of cytological diagnoses made on samples collected by women themselves (selfsampling) versus samples collected by physicians (Physician sampling).
MATERIALS AND METHODS: We invited women volunteers to undergo two procedures; cervical selfsampling using the Evalyn brush and physician sampling using a Cervex brush. The women were shown a video presentation on how to take their own cervical samples before the procedure. The samples taken by physicians were taken as per routine testing (Gold Standard). All samples were subjected to Thin Prep monolayer smears. The diagnoses made were according to the Bethesda classification. The results from these two sampling methods were analysed and compared.
RESULTS: A total of 367 women were recruited into the study, ranging from 22 to 65 years age. There was a significant good agreement of the cytological diagnoses made on the samples from the two sampling methods with the Kappa value of 0.568 (p=0.040). Using the cytological smears taken by physicians as the gold standard, the sensitivity of selfsampling was 71.9% (95% CI:70.972.8), the specificity was 86.6% (95% CI:85.7 87.5), the positive predictive value was 74.2% (95% CI:73.375.1) and the negative predictive value was 85.1% (95% CI: 84.286.0). Selfsampling smears (22.9%) allowed detection of microorganisms better than physicians samples (18.5%).
CONCLUSIONS: This study shows that samples taken by women themselves (selfsampling) and physicians have good diagnostic agreement. Selfsampling could be the method of choice in countries in which the coverage of women attending clinics for screening for cervical cancer is poor.
Methods: One hundred participants (50 good sleepers; 50 poor sleepers) were asked to choose between 2 written scenarios to answer 1 of 2 questions: "Which describes a better (or worse) night of sleep?". Each scenario described a self-reported experience of sleep, stringing together 17 possible determinants of sleep quality that occur at different times of the day (day before, pre-sleep, during sleep, upon waking, day after). Each participant answered 48 questions. Logistic regression models were fit to their choice data.
Results: Eleven of the 17 sleep quality parameters had a significant impact on the participants' choices. The top 3 determinants of sleep quality were: Total sleep time, feeling refreshed (upon waking), and mood (day after). Sleep quality judgments were most influenced by factors that occur during sleep, followed by feelings and activities upon waking and the day after. There was a significant interaction between wake after sleep onset and feeling refreshed (upon waking) and between feeling refreshed (upon waking) and question type (better or worse night of sleep). Type of sleeper (good vs poor sleepers) did not significantly influence the judgments.
Conclusions: Sleep quality judgments appear to be determined by not only what happened during sleep, but also what happened after the sleep period. Interventions that improve mood and functioning during the day may inadvertently also improve people's self-reported evaluation of sleep quality.
METHODS: Respondents were sampled with quotas for urbanicity, gender, age, and ethnicity to ensure representativeness of the Malaysian population. The study was conducted using a standardized protocol involving the EuroQol Valuation Technology (EQ-VT) computer-assisted interview system. Respondents were administered ten composite time trade-off (C-TTO) tasks and seven discrete choice experiment (DCE) tasks. Both linear main effects and constrained non-linear regression models of C-TTO-only data and hybrid models combining C-TTO and DCE data were explored to determine an efficient and informative model for value set prediction.
RESULTS: Data from 1125 respondents representative of the Malaysian population were included in the analysis. Logical consistency was present in all models tested. Using cross-validation, eight-parameter models for C-TTO only and C-TTO + DCE hybrid data displayed greater out-of-sample predictive accuracy than their 20-parameter, main-effect counterparts. The hybrid eight-parameter model was chosen to represent the Malaysian value set, as it displayed greater out-of-sample predictive accuracy over C-TTO data than the C-TTO-only model, and produced more precise estimates. The estimated value set ranged from - 0.442 to 1.
CONCLUSIONS: The constrained eight-parameter hybrid model demonstrated the best potential in representing the Malaysian value set. The presence of the Malaysian EQ-5D-5L value set will facilitate its application in research and health technology assessment activities.
METHODS: A cross-sectional survey was conducted using an online questionnaire on 385 respondents collected through convenience sampling. The survey consisted of four parts: socio-demographic background, health awareness, understanding and usage of health and nutrition claims, and purchase intention measured through the use of a mock packaging. Data collected were analyzed using SPSS version 22.
RESULTS: Most of the respondents aged 18-30 (81.0%) and almost half of them were Malay (45.7%) with bachelor/master or PhD qualification (60.0%). The distribution of household income for all categories was almost similar (18.2-20.8%). There was a significant statistical relationship between health awareness and purchase intention among respondents (r=0.391, p<0.01).
CONCLUSIONS: Health and nutrition claims influenced consumer's perceptions and purchase intention, especially for those who were more concerned about their health, thus, more focus on policy regarding claims is needed.