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1.
WSEAS Transactions on Systems and Control ; 18:1-17, 2023.
Article in English | Scopus | ID: covidwho-2206379

ABSTRACT

Nowadays, the use of e-learning techniques and methods is a very important challenge due to the importance of digital transformation to all countries. Firstly, the spread of the COVID-19 virus all over the world. Secondly, all students need to study their courses remotely from home to reduce the communication with others to save their life. All teachers need to engage their students effectively to study an online course, get more knowledge and high results at the end of these courses. Data mining is the best tool used to find a hidden pattern. We used an educational data mining tool to help teachers find the pros and cons of using an e-learning course with their students. We need to classify students on these online courses according to their ability to understand materials and quizzes, or assessment methods of the course, by making adaptive e-learning courses. In this paper, we will show the importance of using adaptive e-learning courses and the challenges faced by authors to build these systems, and we will list the different methods used with adaptive learning like gamification, brain-hex models, facial emotions, and we will also list a survey about other authors' techniques and methods used to find the student's learner style. We build a new proposed model of ILOs(Intended Learning Outcomes) adaptive learning with the emotion-based system to let the system find the student's learning style and build the material according to their skills and knowledge outcomes from the course and engage the use of facial emotion while taking the quiz to predict the student's results and the topics he/she needs to study more via our system to achieve high grades and knowledge. Our system finds that the visual students have the highest grades with 75%, followed by kinesthetic with 70% and the lowest grades in auditory with 50%. © 2023, World Scientific and Engineering Academy and Society. All rights reserved.

2.
Journal of the ASEAN Federation of Endocrine Societies ; 37:55, 2022.
Article in English | EMBASE | ID: covidwho-2006563

ABSTRACT

Introduction Teleconsultation has become an increasingly important service in managing T2DM especially with the ongoing COVID-19 pandemic and is assumed to be less costly to patients compared to physical visits. This study aimed to compare patients' cost for a teleconsultation session vs physical clinic visit. Methodology This was a cross-sectional study from June 2020 to December 2021 in UMMC which included patients who had successfully participated in teleconsultation sessions. Patient interviews were conducted to collect demographics, detailed cost items (direct/ indirect cost) and a self-administered Patient Satisfaction Questionnaire Short Form (PSQ-18). HbA1c and average self-monitoring blood glucose (SMBG) records at baseline and 3-months after teleconsultation were obtained from electronic medical records (EMR). Results A total of 36 patients were recruited. The median cost of attending a physical visit was significantly higher compared to teleconsultation (RM 123.41 [54.29, 219.51] vs RM 41.41 [30.55, 49.66];p<0.001) with a median cost difference of RM 81.24 [20.20,171.69]. Indirect costs (income loss from absence) made up the majority of the cost saving with teleconsultation (teleconsultation RM 10.71 [0.00,18.45], physical visit RM95.24 [0.00,182.74];p<0.001). There was a reduction in HbA1c (9.45% [7.98, 11.38] to 8.25% [7.42, 9.49];p<0.001) and average fasting SMBG (8.11 mmol/L [6.75, 9.70] to 7.20 mmol/L [6.22, 8.71];p=0.03) after 3 months of teleconsultation. Patients reported high satisfaction levels with teleconsultation, with an overall PSQ-18 score of 78%. Conclusion Teleconsultation service in UMMC Diabetes outpatient clinic was cost saving to patients compared to physical visits without compromising blood glucose control. Teleconsultation may be a viable option of healthcare provision for many patients and may be considered as part of routine care.

3.
Journal of Vascular and Interventional Radiology ; 33(6):S225-S226, 2022.
Article in English | EMBASE | ID: covidwho-1936898

ABSTRACT

Purpose: Cholecystitis accounts for more than 200,000 hospital admissions per year in the United States with increasing rates and hospital charges over the past two decades (Wadhwa et al. 2017). Recent evidence-based guidelines have advocated for early surgical cholecystectomy (SC), reserving percutaneous cholecystostomy (PC) for the critically ill or patients with prohibitive co-morbidities. Purpose: To identify management trends of cholecystitis to validate current practice patterns and reimbursement rates Materials and Methods: All patients undergoing PC placement in a tertiary care hospital from 2010 to 2020 were reviewed. Inclusion criteria consisted of age >18, indication of cholecystitis, and no past PC. Additionally, all patients undergoing SC (laparoscopic or open approach) were reviewed, with surgical data becoming available in 2014. Inclusion criteria included age >18 and indication of cholecystitis. Medicare reimbursement was determined by Current Procedural Terminology (CPT) code. Years with multiple reimbursement rates were averaged. Linear regression analysis was performed. Results: A total of 2522 patients presenting for procedural treatment of cholecystitis were included. 391 underwent PC with interventional radiology with an average age (± stdev) of 64 ± 14.9 years (range: 20-96). 2131 patients underwent SC, average age 55.1 ± 17.6 years (range: 20-100). Over the follow up period, there was a significant increasing trend in PC placement (R2=0.58, P=0.006). Trend of surgical data is notable for a non-linear, though upward trend, increasing from a rate of 181 cases/year in 2014 and 2015, peaking at 481 in 2018, then followed by sharp decline over the subsequent two years, with 260 cases in 2020. From 2010-2020, Medicare reimbursement stayed relatively stable with overall small decreases in payment. There were notable declines for PC reimbursement from 2010 to 2011, decreasing from $551.2 to $392.77 and laparoscopic cholecystectomy reimbursement from $817.28 to $728.69 between 2012 and 2013. Conclusion: The increasing rate of cholecystitis over the past decades is associated with increases in both PC and SC and declines in the rates of reimbursement. After trending upward, surgical intervention was shown to decline after 2018, possibly secondary to availability of PC, or macroeconomic factors such as changes in management guidelines, reimbursement rates, or the COVID-19 pandemic.

4.
BRITISH JOURNAL OF DERMATOLOGY ; 187:161-161, 2022.
Article in English | Web of Science | ID: covidwho-1935192
5.
2021 International Conference on Computing in Civil Engineering, I3CE 2021 ; : 1245-1252, 2021.
Article in English | Scopus | ID: covidwho-1908374

ABSTRACT

BIM can be complex to teach during a regular class schedule, and the COVID-19 pandemic made it even more challenging. However, the need for social distancing brought to attention students' needs other than academic: It was possible notice the importance of students' emotional well-being. This research demonstrates this through three main stages: first by looking into the structure of the classes. Then, a classroom activity elicited from the students revealed important points that either they perceived as challenges our positive points of the lessons. Some of their suggestions were applied and then in a final state, the points elicited by the students were turned into a survey. The survey identified difficulties related to technical problems such as to Wi-Fi network or slow computers, which can be quite challenging for BIM lessons. The paper also describes the actions taken to undermine these issues. One important point that the research showed was that students appreciated the processes of peer-evaluation. This is important since peer evaluation can be quite valuable for BIM learners, since the skill to correct other professionals' models is highly important on a BIM oriented engineering processes. Finally, students showed that empathy and a closer relationship with the professor and colleague helped them cope with the feelings of isolation during the pandemic. © 2021 Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021. All rights reserved.

6.
Tanzania Journal of Science ; 47(3):917-927, 2021.
Article in English | GIM | ID: covidwho-1622726

ABSTRACT

In this paper, a deterministic mathematical model was proposed and analyzed to understand the dynamics of tuberculosis based on the SEIRS model. The disease-free equilibrium, the endemic equilibrium, and their stabilities were examined. The R0 (basic reproduction number) was derived using the Next Generation Matrix method and its sensitivity analysis showed that the birth rate and infectious rate were the most sensitive parameters of R0. The behaviour of exposed individuals at the latent period with varied treatment rates were examined through numerical simulation. From the analysis carried out, the effect of variations of the treatments of latent TB shows that it affects the disease burden. This implies that testing and treatment of latent TB are important in preventing it from becoming infectious. The re-infection rate was examined to see the effect it had both on the recovered and susceptible populations. The study concludes by recommending the extension of the model to an age structured model with co-infection with another respiratory infectious disease like COVID-19.

7.
Int J Pharm Pract ; 30(1): 82-85, 2022 Jan 07.
Article in English | MEDLINE | ID: covidwho-1522211

ABSTRACT

OBJECTIVES: This study aimed to explore the experiences and views of domiciliary coronavirus disease (COVID-19) patients towards pharmaceutical care services provided during their infection. METHODS: This was a single-centred observational study conducted among home-treated COVID-19 patients (n = 500), who were tested positive for COVID-19 in a medical centre in Lebanon. KEY FINDINGS: Out of the 500 home-treated COVID-19 patients invited to participate in the study, 279 patients completed the questionnaire. Although the participants had a good view of pharmacists caring for COVID-19 patients (mean view score: 17.79/25), their treatment experiences were unsatisfactory (mean experience score: 1.51/4). CONCLUSIONS: COVID-19 patients reported minimal involvement of pharmacists in their treatment. Therefore, in response to the COVID-19 pandemic, healthcare authorities should intervene in restructuring, guiding and reviewing unrealized new pharmaceutical services to COVID-19 outpatients.


Subject(s)
COVID-19 , Community Pharmacy Services , Pharmaceutical Services , Humans , Lebanon , Pandemics , Pharmacists , Professional Role , SARS-CoV-2
8.
American Journal of Transplantation ; 21(SUPPL 4):299, 2021.
Article in English | EMBASE | ID: covidwho-1494445

ABSTRACT

Purpose: Wearable devices that measure physiological parameters have shown utility for detecting infections such as influenza and recently COVID-19 up to 10 days before clinical symptoms appear. Combining symptom data with wearable biosensor data has proven to increase discrimination between COVID-19 and non-COVID-19 infection compared to using symptom data alone (AUC 0.80 vs. 0.71, p<0.01). Here we study the utility of wearable devices in early detection of SARS-Cov2 and related infections in pediatric solid organ transplant recipients. Early remote detection of infections may guide treatment responses to improve clinical outcomes such as rates of hospitalization. Methods: This is an ongoing prospective cohort study of pediatric solid organ transplant recipients and their non-transplanted household members. We are currently remotely recruiting all participants from multicenter sites and heart, liver and lung transplant patients from a single transplant center. We continuously monitor heart rate (HR), body temperature, oxygen saturation, blood pressure, sleep and respiratory patterns, and electro-dermal activity. We use MyPHD, a HIPAA compliant information architecture that supports EHR integration, for remote patient recruitment, secure data collection, and analyses. We apply two real-time algorithms to the data to identify changes that are associated with COVID-19. The algorithms are based on Resting Heart-Rate-Difference (RHR-Diff) and identify periods of elevated HR based on outlier interval detection, calculating standardized residuals for each HR observation compared to a baseline of clinically validated “healthy days” for each patient. Results: Continuous real-time physiological monitoring of transplant patients may provide syndromic surveillance and inform healthcare management. The primary outcome is time to infection diagnoses, with a particular emphasis on SARS-CoV2 and common post-transplant infections (Influenza, EBV, CMV, and BK virus). The secondary outcomes are to optimize our algorithms for the pediatric transplant setting and to monitor for other complications including cardiometabolic complications and eGFR decline. Conclusions: The potential impact of this study include algorithm-guided early detection of infection signatures coupled with provider clinical-decision-support and return-of-results to manage transplant patient care.

10.
Stroke ; 52(SUPPL 1), 2021.
Article in English | EMBASE | ID: covidwho-1234332

ABSTRACT

Introduction: Inpatient rehabilitation (IPR) is crucial to recovery after stroke. COVID-19, however, has led to delays in post-stroke admission to IPR due to transmission concerns. Objective: We evaluated the effect of time from stroke onset to IPR admission on post-stroke recovery Design: A retrospective analysis of 680 patients with acute stroke or intracerebral hemorrhage (ICH), admitted to IPR between APR-2017 and AUG-2019. Association between time from stroke onset to IPR and discharge FIM-Motor Total and FIM-Motor Total with transfers scores was studied, after adjusting for sex, age at onset, stroke severity and type. Multiple linear regression models were conducted for outcomes discharge: (FIM-Motor Total) and (FIM-Motor Total with transfers) (Table 1). Square transformations were used to satisfy model assumptions. Ordinal logistic regression models were run for outcomes discharge FIM subset scores categorized as independent (6-7), needs supervision (5), and needs assistance (1-4, reference). The primary variable of interest was days onset to IPR, adjusted for stroke severity (admit FIM subset scores), sex, stroke type and age. (Table 2). The proportional odds assumption was verified using Brant test. Results: An inverse relationship was observed between days from onset to IPR and discharge FIMMotor with and without transfers. Time from stroke onset to IPR admission was associated with decreased discharge FIM-Motor and FIM-Motor with transfers, after adjusting for other covariates. Among FIM subset discharges, an additional day also resulted in a 2-5% decrease in the odds of being more independent. Conclusion: Delays to IPR admission result in decreased motor function gains and lower chance of independence. In addition to current community education practices, acute care hospitals and IPR facilities must review their processes to remove delays. These processes include requirements for COVID disease testing and IPR acceptance policies.

12.
Journal of Royal Society of Medicine ; 113(5):168, 2020.
Article in English | EMBASE | ID: covidwho-825111
13.
Int J Clin Pract ; 74(12): e13620, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-690874

ABSTRACT

OBJECTIVES: The present study aimed to exploring community pharmacists' willingness and readiness to test for COVID-19 in Jordan. METHODS: Purposeful sampling was used to identify a list of 30 community pharmacies, which were approached to participate in the study. Twenty interviews were needed to reach data saturation. In-depth interviews were conducted, recorded, transcribed, and analysed using NVivo 11 Software. Interviews followed a previously prepared and validated 10-item interview guide. The interview guide discussed pharmacists' willingness and readiness to test for COVID-19. RESULTS: Twenty community pharmacists were interviewed for the purpose of the present study. Interviews took place during April 2020 and the mean interview duration was 23.30 minutes. Respondents had a mean age of 36.4 years and a mean experience of 8.8 years. The majority were female (70%) and 50% held a BSc in Pharmacy. Regarding respondents' willingness to test for COVID-19 emerging themes were helping other healthcare professional, willingness to contribute to official efforts in fighting COVID-19, acting as an accessible testing cite, willingness to carry out home testing. Regarding respondents' readiness to test for COVID-19 emerging themes were Pharmacists lack basic testing skills, pharmacies are not ready to preform tests and the need for training and certifying. CONCLUSION: Jordanian pharmacists are willing to test patients for COVID-19 in community pharmacies, however, they thought they are not ready enough to undergo such tests and needed extra training and better safety precautions.


Subject(s)
Attitude of Health Personnel , COVID-19 Testing , COVID-19/diagnosis , Clinical Competence , Community Pharmacy Services , Pharmacists , Adult , Female , Humans , Interviews as Topic , Jordan , Male , Middle Aged , Pandemics , Professional Role
14.
Environmental Studies rice management practices risk Monte Carlo simulation stochastic variables Tanzania Food security Agricultural practices Food production Cereals Risk analysis Climate change Computer simulation COVID-19 Farms Sustainable agriculture Harvesting Farmers Decision analysis Food Fertilizers Risk management Income Agricultural management Agricultural production Households Seeds Farm management Random variables Poverty Corn Productivity Irrigation Decision making Modernization Agricultural economics Farming Rain ; 2020(Sustainability)
Article in English | ProQuest Central/null/20null" | ID: covidwho-826809

ABSTRACT

Tanzania is the second-largest producer of rice (Oryza sativa) in Eastern, Central, and Southern Africa after Madagascar. Unfortunately, the sector has been performing poorly due to many constraints, including poor agricultural practices and climate variability. In addressing the challenge, the government is making substantial investments to speed the agriculture transformation into a more modernized, commercial, and highly productive and profitable sector. Our objective was to apply a Monte Carlo simulation approach to assess the economic feasibility of alternative rice farming systems operating in Tanzania while considering risk analysis for decision-makers with different risk preferences to make better management decisions. The rice farming systems in this study comprise rice farms using traditional practices and those using some or all of the recommended system of rice intensification (SRI) practices. The overall results show 2% and zero probability of net cash income (NCI) being negative for partial and full SRI adopters, respectively. Meanwhile, farmers using local and improved seeds have 66% and 60% probability of NCI being negative, correspondingly. Rice farms which applied fertilizers in addition to improved seeds have a 21% probability of negative returns. Additionally, net income for rice farms using local seeds was slightly worthwhile when the transaction made during the harvesting period compared to farms applied improved varieties due to a relatively high price for local seeds. These results help to inform policymakers and agencies promoting food security and eradication of poverty on the benefits of encouraging improved rice farming practices in the country. Despite climate variability, in Tanzania, it is still possible for rice farmers to increase food production and income through the application of improved technologies, particularly SRI management practices, which have shown a promising future.

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