OBJECTIVE: This study was looking at the acceptance towards using social network information system among public health workers.
MATERIALS AND METHOD: This study was done on 205 Malaysian One Health University Network (MyOHUN) members through email and physical survey.
RESULTS: Results show that 62.4% public health workers accepted the use technology. The acceptance was shown to be associated with performance expectancy (p<0.05). However, unlike the very famous Unified Theory of Acceptance and Use of Technology (UTAUT) model, the acceptance of social network information system was not associated with effort expectancy, social factors, facilitating conditions and socio-demographic factors. Therefore, it is suggested that social network information system be developed by the authorities in Malaysia, and be developed in a way that the system could strongly increase performance in detection of outbreak earlier than the current normal pathways. As such the system to be accepted and used, it must be sensitive, specific and be able to detect influenza outbreak early CONCLUSION: The development of social network information system is feasible as it is highly accepted and it's potential to improve early detection of influenza outbreak.
MATERIAL AND METHODS: A cross-sectional study using face to face structured questionnaire. All 447 respondents included were low-income earners enrolled in the HLA. Chi-square analysis and multiple logistic regression were used to examine association between the risk factors and healthcare utilization.
RESULTS: The response rate was 93.5%. The healthcare utilization among the respondents during the partial lockdown period was 19.5% and 33.1% during the recovery lockdown period. Enrollment in the PeKa B40 scheme among the 7.6% respondents was not associated with healthcare utilization. After controlling for the variables, those aged 60 years and above [AOR: 1.87; 95% (CI): (1.07; 3.27)], self-rated poor health status [AOR: 2.16; 95% (CI): (1.07; 4.34)], having NCDs [AOR: 4.21; 95% (CI): (2.23; 7.94)], and being hospitalized in the past 12 months [AOR: 3.54; 95% (CI): (1.46; 8.62)], were more likely to utilize healthcare services as compared to their counterparts.
CONCLUSION: The results from this study is valuable for policy recommendations to improve on the coverage of the PeKa B40 scheme and healthcare access for the low-income population especially during the pandemic.
METHODS: The study population consisted of 53 participants, 23 patients with BVFI after endolaryngeal laser posterior cordectomy and 30 healthy volunteers. All of them had body plethysmography (airway resistance, Raw), spirometry (ratio of forced expiratory flow at 50% to forced inspiratory flow at 50%, FEF50/FIF50 and peak inspiratory flow, PIF), 6 min-walking-test (6MWT) and Medical Research Council (MRC) dyspnea scale measurements. The tests were repeated and reliability was evaluated using intraclass correlation (ICC) and Spearman correlation.
RESULTS: The reliability of Raw was high with ICC of 0.92, comparable to the spirometry measurements: FEF50/FIF50(ICC = 0.72) and PIF (ICC = 0.97). The mean of Raw was significantly higher in patient group. A strong significant correlation between Raw and MRC dyspnea scale (r = 0.79; p<0.05) and a moderate negative correlation between Raw and 6MWT (r = 0.4; p<0.05) was demonstrated.
CONCLUSION: Body plethysmography (Raw) is a reliable tool in objective measurement of upper airway resistance that reflects the patient's perception of breathlessness. A larger number of participants are necessary to confirm this finding.