An Empirical Study of Blended Teaching Mode Based on SPOC in the Postpandemic Era

The COVID-19 pandemic broke the normal of school education and sounded the horn for future education reform. This paper designs the online and offline mixed teaching mode of the SPOC platform in the postpandemic era according to the actual situation of teaching at application-oriented colleges and universities, and the blended teaching mode is applied to real teaching scenarios. The teaching effect and students' behaviors are analyzed in such scenarios. Empirical research shows that the situational teaching model based on mixed SPOC for course design, teaching resources are more abundant, and task assessments are more reasonable. Through the questionnaire survey, about 95% of the students think that the learning mode based on SPOC has improved their learning interest, autonomous learning ability, and problem-solving ability, which is much higher than the assessment of traditional courses. The exploratory practice has shown that the online and offline blended teaching mode based on SPOC can dramatically improve teaching quality. [ FROM AUTHOR] Copyright of Discrete Dynamics in Nature & Society is the property of Hindawi Limited and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Development of a Telemedicine Screening Program During the COVID-19 Pandemic.

Background: Telemedicine use increased during the COVID-19 pandemic due to concerns for patient and provider safety. Given the lack of testing resources initially and the large geographical range served by Augusta University (AU), a telemedicine platform with up-to-date screening guidelines was implemented for COVID-19 testing in March 2020. Our objective was to understand the level of adherence to telemedicine screening guidelines for COVID-19. Methods: The study population included health care providers and population who participated in an encounter in the AU Health Express Care virtual care program from March 22 to May 21, 2020. All encounters were intended to be for COVID-19 screening, free, and available 24 h per day, 7 days per week. Screening guidelines were developed by AU based on information from the Centers for Disease Control and Prevention and the Georgia Department of Public Health. Results: Among 17,801 total encounters, 13,600 were included in the final analysis. Overall adherence to screening guidelines was 71% in the adult population and 57% in the pediatric population. When providers did not follow guidelines, 72% determined that the patient should have a positive screen. Guidelines themselves determined that only 52% of encounters should have a positive screen. Providers' specialty significantly correlated with guideline adherence (p = 0.002). Departments with the highest adherence were psychiatry, neurology, and ophthalmology. No significant correlation was found between guideline adherence and provider degree/position. Conclusions: This study provides proof of concept of a free telehealth screening platform during an ongoing pandemic. Our screening experience was effective and different specialties participated. Our patient population lived in lower than average income zip codes, suggesting that our free telemedicine screening program successfully reached populations with higher financial barriers to health care. Early training and a posteriori knowledge of telemedicine was likely key to screening guideline adherence.

Addition of Midthigh Circumference Improves Predictive Ability of Broselow Tape Weight Estimation.

OBJECTIVES: This study aimed to improve the accuracy of Broselow tape (BT) weight prediction by adding midthigh circumference (MTC) and to compare and standardize the methods for measuring MTC. METHODS: This prospective, observational study was conducted in a pediatric emergency department of a tertiary care children's hospital. Children up to 12 years of age presenting to emergency department were included. Children were excluded if obtaining the data would interfere with their acute management. The data collected included MTC, height, BT weight, and actual weight. Three models were built. Broselow tape-only model and MTC plus BT model used 2 methods for MTC measurements: visual approximation of thigh midpoint (visual MTC1) and Centers for Disease Control and Prevention (CDC)-defined method (CDC MTC2). RESULTS: A total of 430 children were enrolled during pre-coronavirus disease era. Of these, 234 were boys (54.4%) and 196 (45.6%) were girls. Data were categorized into children younger than 2 years (224 [52.1%]) and older than 2 years (206 [47.9%]). African American constituted 250 (58%); White, 136 (31%); and unspecified, 27 (6%). For the entire cohort, both models that included MTC were significantly better at weight prediction with larger adjusted R2 (visual MTC1, 0.921; CDC MTC2, 0.928) and smaller root mean squared (RMSE) (visual MTC1, 2.70; CDC MTC2, 2.56) compared with BT-only model (adjusted R2 = 0.843; RMSE, 3.80). Midthigh circumference plus BT models performed even better in children older than 2 years compared with BT-only model with adjusted R2 (visual MTC1, 0.859; CDC MTC2, 0.872 vs 0.616) and RMSE (visual MTC1, 3.18; CDC MTC2, 3.03 vs 5.27). CONCLUSIONS: The inclusion of MTC with BT resulted in a more accurate weight prediction in children especially greater than 2 years old. Midthigh circumference model using CDC-defined method was slightly better predictor of actual weight than visual approximation.

Early detection of change patterns in COVID-19 incidence and the implementation of public health policies: A multi-national study.

OBJECTIVES: The COVID-19 pandemic caused by the novel SARS-CoV-2 coronavirus has drastically altered the global realities. Harnessing national scale data from the COVID-19 pandemic may better inform policy makers in decision making surrounding the reopening of society. We examined country-level, daily-confirmed, COVID-19 case data from the World Health Organization (WHO) to better understand the comparative dynamics associated with the ongoing global pandemic at a national scale. STUDY DESIGN: Observational study. METHODS: We included data from 20 countries in Europe, the Americas, Africa, Eastern Mediterranean and West Pacific regions, and obtained the aggregated daily new case data for the European Union including 27 countries. We utilized an innovative analytic approach by applying statistical change point models, which have been previously employed to model volatility in stock markets, changes in genomic data, and data dynamics in other scientific disciplines, to segment the transformed case data. This allowed us to identify possible change or turning points as indicated by the dynamics of daily COVID-19 incidences. We also employed B-spline regression models to express the estimated (predicted) trend of daily new incidences for each country's COVID-19 disease burden with the identified key change points in the model. RESULTS: We identified subtle, yet different change points (translated to actual calendar days) by either the mean and variance change point model with small p-values or by a Bayesian online change point algorithm with large posterior probability in the trend of COVID-19 incidences for different countries. We correlated these statistically identified change points with evidence from the literature surrounding these countries' policies regarding opening and closing of their societies in an effort to slow the spread of COVID-19. The days when change points were detected were ahead of the actual policy implementation days, and in most of the countries included in this study the decision lagged the change point days too long to prevent potential widespread extension of the pandemic. CONCLUSIONS: Our models describe the behavior of COVID-19 prevalence at a national scale and identify changes in national disease burden as relating to chronological changes in restrictive societal activity. Globally, social distancing measures may have been most effective in smaller countries with single governmental and public health organizational structures. Further research examining the impact of heterogeneous governmental responses to pandemic management appears warranted.

An antibiotic stewardship programme to reduce inappropriate antibiotic prescribing for acute respiratory infections in rural Chinese primary care facilities: study protocol for a clustered randomised controlled trial.

BACKGROUND: Inappropriate prescribing of antibiotics for acute respiratory infections at the primary care level represents the major source of antibiotic misuse in healthcare, and is a major driver for antimicrobial resistance worldwide. In this study we will develop, pilot and evaluate the effectiveness of a comprehensive antibiotic stewardship programme in China's primary care hospitals to reduce inappropriate prescribing of antibiotics for acute respiratory infections among all ages. METHODS: We will use a parallel-group, cluster-randomised, controlled, superiority trial with blinded outcome evaluation but unblinded treatment (providers and patients). We will randomise 34 primary care hospitals from two counties within Guangdong province into the intervention and control arm (1:1 overall ratio) stratified by county (8:9 within-county ratio). In the control arm, antibiotic prescribing and management will continue through usual care. In the intervention arm, we will implement an antibiotic stewardship programme targeting family physicians and patients/caregivers. The family physician components include: (1) training using new operational guidelines, (2) improved management and peer-review of antibiotic prescribing, (3) improved electronic medical records and smart phone app facilitation. The patient/caregiver component involves patient education via family physicians, leaflets and videos. The primary outcome is the proportion of prescriptions for acute respiratory infections (excluding pneumonia) that contain any antibiotic(s). Secondary outcomes will address how frequently specific classes of antibiotics are prescribed, how frequently key non-antibiotic alternatives are prescribed and the costs of consultations. We will conduct a qualitative process evaluation to explore operational questions regarding acceptability, cultural appropriateness and burden of technology use, as well as a cost-effectiveness analysis and a long-term benefit evaluation. The duration of the intervention will be 12 months, with another 24 months' post-trial long-term follow-up. DISCUSSION: Our study is one of the first trials to evaluate the effect of an antibiotic stewardship programme in primary care settings in a low- or middle-income country (LMIC). All interventional activities will be designed to be embedded into routine primary care with strong local ownership. Through the trial we intend to impact on clinical practice and national policy in antibiotic prescription for primary care facilities in rural China and other LMICs. TRIAL REGISTRATION: ISRCTN, ID: ISRCTN96892547. Registered on 18 August 2019.