DESIGN AND METHODS: This was a qualitative study and data was collected through semi-structured in-depth recorded phone interviews with eight Malay male participants. They were screened using a questionnaire and participants that met the inclusion criteria were interviewed, and were admitted to National Heart Centre, Malaysia between January to June 2019 diagnosed with MI. The data collected were analysed using NVivo 12 software and thematic analysis was applied.
RESULTS: Four preliminary themes emerged from the study: 1) beliefs in physical activity; 2) healthy lifestyle: new normal or same old habit; 3) factors determining participation in pa; and 4) physical activity adherence strategies.
CONCLUSIONS: The results of the studies showed that participants understand the need to maintain physical activity, which helps to maintain a healthy life after MI and prevent recurrent infarction. Strategies for developing self-efficacy for physical activity were also discussed. The need to understand that maintaining physical activity as well as adopting a new normal of healthy habit after MI is crucial in order to maintain the health and prevent recurrence of MI.
DESIGN AND METHODS: It was conducted with ten caregivers of individuals suffering from traumatic brain injury, that were selected using a theoretical sampling method. Data were obtained using a semi-structured interview guide, which helped the caregivers provide their responses. Meanwhile, data analysis was performed using the NVIVO analysis software.
RESULTS: The results showed that there were, three significant themes namely, (a) Support needed, (b) the information need for care, and (c) developing self-resilience. The results also showed that caregivers really need support from the various parties, and the participants lack information on specific care techniques for the severe traumatic brain injury (TBI) survivors.
CONCLUSION: In conclusion, caregivers require approval and seek more useful information to provide excellent care to their loved ones. Being aware of the caregiver's needs would enable them to offer improved customized care.
Methods: 21 day old male Sprague Dawley rats were assigned as Experiment-1 & 2 - PND rats were divided into 4 groups with interventions for 7 months (n = 8/group). NC- Normal control fed normal chow diet; OB- Obese group, fed high fat diet; OB + CHO + DHA- fed high fat diet and oral supplementation of choline, DHA. OB + EE- fed high fat diet along with exposure to enriched environment .Experiment-2 had similar groups and interventions as experiment 1 but for next 5 months were fed normal chow diet without any interventions. Body mass index was assessed and blood was analyzed for serum lipid profile. Common Carotid Artery (CCA) was processed for Haematoxylin and eosin, Verhoff Vangeison stains. Images of tissue sections were analyzed and quantified using image J and tissue quant software.
Results: In experiment.1, mean body mass index (p
Methods: The accuracy of Webgazer.js for software-based gaze tracking is tested under different lighting conditions. Predefined time delays of a prototype diagnosis task automation script are contrasted against with manual delays based on human time estimation to understand how automation influences diagnosis accuracy. SLI diagnosis binary classifier was built and tested based on randomised parameters. The obtained results were cross-compared to Singlims_ES.exe for equality.
Results: Webgazer.js achieved an average accuracy of 88.755% under global lighting conditions, 61.379% under low lighting conditions and 52.7% under face-focused lighting conditions. The diagnosis task automation script found to execute with actual time delays with a deviation percentage no more than 0.04%, while manually executing time delays based on human time estimation resulted in a deviation percentage of not more than 3.37%. One-tailed test probability value produced by both the newly built classifier and Singlims_ES were observed to be similar up to three decimal places.
Conclusion: The results obtained should serve as a foundation for further evaluation of computer tools to help speech language pathologists diagnose SLI.
Aim: To determine the feasibility of a collaborative program between private general practitioners (GPs) and the public primary health clinics in PTB screening and to assess the yield of smear-positive PTB from this program.
Methods: A prospective cohort study using convenient sampling was conducted involving GPs and public health clinics in the North-East District, Penang, from March 2018 to May 2019. In this study, GPs could direct all suspected PTB patients to perform a sputum acid fast bacilli (AFB) direct smear in any of the dedicated public primary health clinics. The satisfaction level of both the GPs and their patients were assessed using a self-administered client satisfaction questionnaire. IBM SPSS Statistical Software was used to analyze the data.
Results: Out of a total of 31 patients who underwent the sputum investigation for PTB, one (3.2%) was diagnosed to have smear-positive PTB. Most of the patients (>90%) and GPs (66.7%) agreed to continue with this program in the future. Furthermore, most of the patients (>90%) were satisfied with the program structure.
Conclusion: It is potentially feasible to involve GPs in combating TB. However, a more structured program addressing the identified issues is needed to make the collaborative program a success.
MATERIALS AND METHODS: A total of 42 S. pyogenes isolates from invasive and non-invasive samples collected from two different tertiary hospitals were investigated for the distribution of virulence factors and their molecular epidemiology by emm and multilocus sequence typing methods. Detection of five virulence genes (speA, speB, speJ, ssa and sdaB) was performed using multiplex polymerase chain reaction (PCR) using the standard primers and established protocol. Phylogenetic tree branches were constructed from sequence analysis utilised by neighbour joining method generated from seven housekeeping genes using MEGA X software.
RESULTS: Multiplex PCR analysis revealed that sdaB/speF (78.6%) and speB (61.9%) were the predominant virulence genes. Regardless of the type of invasiveness, diverse distribution of emm types/subtypes was noted which comprised of 27 different emm types/subtypes. The predominant emm types/subtypes were emm63 and emm18 with each gene accounted for 11.8% whereas 12% for each gene was noted for emm28, emm97.4 and emm91. The MLST revealed that the main sequence type (ST) in invasive samples was ST402 (17.7%) while ST473 and ST318 (12% for each ST) were the major types in non-invasive samples. Out of 18 virulotypes, Virulotype A (five genes, 55.6%) and Virulotype B (two genes, 27.8%) were the major virulotypes found in this study. Phylogenetic analysis indicated the presence of seven different clusters of S. pyogenes. Interestingly, Cluster VI showed that selected emm/ST types such as emm71/ST318 (n=2), emm70.1/ST318 (n=1), emm44/ST31 (n=1) and emm18/ST442 (n=1) have clustered within a common group (Virulotype A) for both hospitals studied.
CONCLUSION: The present study showed that group A streptococcci (GAS) are genetically diverse and possess virulence genes regardless of their invasiveness. Majority of the GAS exhibited no restricted pattern of virulotypes except for a few distinct clusters. Therefore, it can be concluded that virulotyping is partially useful for characterising a heterogeneous population of GAS in hospitals.
METHODS: A qualitative study using narrative inquiry was conducted at a public primary care clinic. Ten participants with type 2 diabetes of more than a 1-year duration were selected through purposive sampling. In-depth interviews were conducted using a semi-structured protocol guide and were audio-taped. The interviews were transcribed and the texts were analyzed using a thematic approach with the Atlas.ti ver. 8.0 software (Scientific Software Development GmbH, Berlin, Germany).
RESULTS: Three themes emerged from the analysis. The first theme, "Initial reactions toward diabetes," described the early impression of diabetes encompassing negative emotions, feeling of acceptance, a lack of concern, and low level of perceived efficacy. "Process of discovery" was the second overarching theme marking the journey of participants in finding the exact truth about diabetes and learning the consequences of ignoring their responsibility in diabetes care. The third theme, "Making the right decision," highlighted that fear initiated a decision-making process and together with goal-setting paved the way for participants to reach a turning point, moving toward engagement in their care.
CONCLUSION: Our findings indicated that fear could be a motivator for change, but a correct cognitive appraisal of diabetes and perceived efficacy of the treatment as well as one's ability are essentially the pre-requisites for patients to reach the stage of having the intention to engage.
OBJECTIVE: This paper aimed to describe the development process of the COVID-19 Symptom Monitoring System (CoSMoS), which consists of a self-monitoring, algorithm-based Telegram bot and a teleconsultation system. We describe all the essential steps from the clinical perspective and our technical approach in designing, developing, and integrating the system into clinical practice during the COVID-19 pandemic as well as lessons learned from this development process.
METHODS: CoSMoS was developed in three phases: (1) requirement formation to identify clinical problems and to draft the clinical algorithm, (2) development testing iteration using the agile software development method, and (3) integration into clinical practice to design an effective clinical workflow using repeated simulations and role-playing.
RESULTS: We completed the development of CoSMoS in 19 days. In Phase 1 (ie, requirement formation), we identified three main functions: a daily automated reminder system for patients to self-check their symptoms, a safe patient risk assessment to guide patients in clinical decision making, and an active telemonitoring system with real-time phone consultations. The system architecture of CoSMoS involved five components: Telegram instant messaging, a clinician dashboard, system administration (ie, back end), a database, and development and operations infrastructure. The integration of CoSMoS into clinical practice involved the consideration of COVID-19 infectivity and patient safety.
CONCLUSIONS: This study demonstrated that developing a COVID-19 symptom monitoring system within a short time during a pandemic is feasible using the agile development method. Time factors and communication between the technical and clinical teams were the main challenges in the development process. The development process and lessons learned from this study can guide the future development of digital monitoring systems during the next pandemic, especially in developing countries.
RESULTS: 50% minimum inhibitory concentration with silver-conjugated Hesperidin was achieved with 0.5 μg/ml of Hesperidin conjugated with silver nanoparticles at 1 h. Differential genetic analysis revealed the expression of 122 genes (≥ 2-log FC, P