Planned Behavior Typologies of Agricultural Education Teacher Educators Regarding Service Learning as a Method of Instruction: A National Mixed Methods Study

This study sought to understand the service-learning beliefs and intentions of agricultural education teacher educators. We collected quantitative data through a web-based survey instrument and course syllabi. Variables yielding statistically significant relationships were analyzed using cluster analysis, which produced three unique clusters operationalized as typologies representing the planned behaviors of teacher educators regarding service learning. For example, the Optimistically Unaware expressed positive beliefs about the method, but did not understand how to integrate service learning in their teaching methods courses. Meanwhile, the Policy-Focused Decision Makers used established education policy as anchors when navigating decisions, such as whether to feature service learning in their courses. Service-Learning Implementers espoused strong beliefs about the method’s potential while also emphasizing how it could be used to enrich the preparation of agriculture teachers. Results point to the potential service learning holds if integrated as a complement to teacher preparation rather than an addition to current practice

Compliance with a protocol for intrapartum antibiotic prophylaxis against neonatal group B streptococcal sepsis in women with clinical risk factors.

OBJECTIVE: The aim of this study was to determine the prevalence of clinical risk factors (CRF) for neonatal sepsis in laboring women and to evaluate clinician compliance with a CRF-based protocol for intrapartum antibiotic prophylaxis (IAP). METHODS: A retrospective chart audit was undertaken at a district hospital (A) and a tertiary obstetric hospital (B) in Sydney, Australia between 1996 and 1998, to determine compliance with IAP in women with defined CRF. RESULTS: Eighty-five (12%) women at Hospital A and 117 (19%) at Hospital B had one or more CRF. Overall compliance rates with the IAP protocols were 65 and 50% at Hospitals A and B respectively, but varied according to maternal, obstetric and sepsis-related risk factors. We postulate that differences between the hospitals were related to protocol implementation. CONCLUSIONS: Compliance with a CRF-based protocol was lower than previously reported. Improvements in protocol development, implementation and maintenance are required to enhance compliance with IAP based on CRF

National Diet and Nutrition Survey Rolling programme Years 9 to 11 (2016/2017 to 2018/2019) - A survey carried out on behalf of Public Health England and the Food Standards Agency

The National Diet and Nutrition Survey Rolling Programme (NDNS RP) is a continuous crosssectional survey, designed to assess the diet, nutrient intake and nutritional status of the general population aged 1.5 years and over living in private households in the UK. A representative sample of around 1,000 people (500 adults and 500 children) take part in the NDNS RP each year. Fieldwork for Years 9 to 11 of the NDNS RP was carried out between April 2016 and June 2019. The survey comprised an interview, a 4-day estimated diet diary, physical measurements and a blood and urine sample. Results are used by government to monitor progress toward diet and nutrition objectives of UK Health Departments and to develop policy interventions. The foods, nutrients and blood and urine measures presented in this report were selected for their nutritional and public health relevance to current dietary concerns in the UK. Results are analysed for 7 age groups: 1.5 to 3 years; 4 to 10 years; 11 to 18 years; 19 to 64 years; 65 years and over; 65 to 74 years and 75 years and over, split by sex in all except the youngest age group. The report includes: • descriptive statistics of food consumption, nutrient intake and nutritional status including proportion of the population meeting government recommendations for NDNS RP Years 9 to 11 (2016/17 to 2018/19) and comparison with results from years 7&8 (2014/15 to 2015/16). • trends over time in relation to food consumption, nutrient intakes and nutritional status in the UK for the first 11 years of the NDNS RP (2008/09 to 2018/19)PHE and Food Standards Agenc

Educational Interventions to Improve Advance Care Planning Discussions, Documentation and Billing

Background/Objectives: To determine the impact of educational interventions, clinic workflow redesign, and quality improvement coaching on the frequency of advance care planning (ACP) activities for patients over the age of 65. Design: Nonrandomized before-and-after study. Setting: 13 ambulatory care clinics with 81 primary care providers in eastern and central North Carolina. Participants: Patients across 13 primary care clinics staffed by 66 physicians, 8 physician assistants and 7 family nurse practitioners. Interventions: Interprofessional, interactive ACP training for the entire interprofessional team and quality improvement project management with an emphasis on workflow redesign. Measurements: From July 2017 through June 2018—number of ACP discussions, number of written ACP documents incorporated into the electronic medical record (EMR), number of ACP encounters billed. Results: Following the interventions, healthcare providers were more than twice as likely to conduct ACP discussions with their patients. Patients were 1.4 times more likely to have an ACP document included in their electronic medical record. Providers were significantly (p < 0.05) more likely to bill for an ACP encounter in only one clinic. Conclusions: Implementing ACP education for all clinic staff, planning for workflow changes to involve the entire interprofessional team and supporting ACP activities with quality improvement coaching leads to statistically significant improvements in the frequency of ACP discussions, the number of ACP documents included in the electronic medical record and number of ACP encounters billed

Edusource: Canada's Learning Object Repository Network

An alliance of Canadian Universities and government agencies pooled their resources to establish a network to share and combine Learning Objects from a variety of sources and further develop this technology. In the process, they resolved many learning, logistical, and legal problems and moved this technology forward by an order of magnitude. Principal goals include: nationwide interoperability, network of repositories, linked servers, repository software programs, national and international standards, digital rights management, business and management models, evaluation and feedback, dissemination of results, and bilingual access to all Canadians, particularly learners with disabilities. The defined tasks were sub-divided into nine work packages, each with a lead institution as package manager

Aspirin and extended-release dipyridamole versus clopidogrel for recurrent stroke

Background Recurrent stroke is a frequent, disabling event after ischemic stroke. This study compared the efficacy and safety of two antiplatelet regimens — aspirin plus extendedrelease dipyridamole (ASA–ERDP) versus clopidogrel. Methods In this double-blind, 2-by-2 factorial trial, we randomly assigned patients to receive 25 mg of aspirin plus 200 mg of extended-release dipyridamole twice daily or to receive 75 mg of clopidogrel daily. The primary outcome was first recurrence of stroke. The secondary outcome was a composite of stroke, myocardial infarction, or death from vascular causes. Sequential statistical testing of noninferiority (margin of 1.075), followed by superiority testing, was planned. Results A total of 20,332 patients were followed for a mean of 2.5 years. Recurrent stroke occurred in 916 patients (9.0%) receiving ASA–ERDP and in 898 patients (8.8%) receiving clopidogrel (hazard ratio, 1.01; 95% confidence interval [CI], 0.92 to 1.11). The secondary outcome occurred in 1333 patients (13.1%) in each group (hazard ratio for ASA–ERDP, 0.99; 95% CI, 0.92 to 1.07). There were more major hemorrhagic events among ASA–ERDP recipients (419 [4.1%]) than among clopidogrel recipients (365 [3.6%]) (hazard ratio, 1.15; 95% CI, 1.00 to 1.32), including intracranial hemorrhage (hazard ratio, 1.42; 95% CI, 1.11 to 1.83). The net risk of recurrent stroke or major hemorrhagic event was similar in the two groups (1194 ASA–ERDP recipients [11.7%], vs. 1156 clopidogrel recipients [11.4%]; hazard ratio, 1.03; 95% CI, 0.95 to 1.11). Conclusions The trial did not meet the predefined criteria for noninferiority but showed similar rates of recurrent stroke with ASA–ERDP and with clopidogrel. There is no evidence that either of the two treatments was superior to the other in the prevention of recurrent stroke. (ClinicalTrials.gov number, NCT00153062.

Comparing families of dynamic causal models

Mathematical models of scientific data can be formally compared using Bayesian model evidence. Previous applications in the biological sciences have mainly focussed on model selection in which one first selects the model with the highest evidence and then makes inferences based on the parameters of that model. This “best model” approach is very useful but can become brittle if there are a large number of models to compare, and if different subjects use different models. To overcome this shortcoming we propose the combination of two further approaches: (i) family level inference and (ii) Bayesian model averaging within families. Family level inference removes uncertainty about aspects of model structure other than the characteristic of interest. For example: What are the inputs to the system? Is processing serial or parallel? Is it linear or nonlinear? Is it mediated by a single, crucial connection? We apply Bayesian model averaging within families to provide inferences about parameters that are independent of further assumptions about model structure. We illustrate the methods using Dynamic Causal Models of brain imaging data

Assembling evidence for identifying reservoirs of infection

Many pathogens persist in multihost systems, making the identification of infection reservoirs crucial for devising effective interventions. Here, we present a conceptual framework for classifying patterns of incidence and prevalence, and review recent scientific advances that allow us to study and manage reservoirs simultaneously. We argue that interventions can have a crucial role in enriching our mechanistic understanding of how reservoirs function and should be embedded as quasi-experimental studies in adaptive management frameworks. Single approaches to the study of reservoirs are unlikely to generate conclusive insights whereas the formal integration of data and methodologies, involving interventions, pathogen genetics, and contemporary surveillance techniques, promises to open up new opportunities to advance understanding of complex multihost systems

A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation

Likelihood-based inference for disease outbreak data can be very challenging due to the inherent dependence of the data and the fact that they are usually incomplete. In this paper we review recent Approximate Bayesian Computation (ABC) methods for the analysis of such data by fitting to them stochastic epidemic models without having to calculate the likelihood of the observed data. We consider both non-temporal and temporal-data and illustrate the methods with a number of examples featuring different models and datasets. In addition, we present extensions to existing algorithms which are easy to implement and provide an improvement to the existing methodology. Finally, R code to implement the algorithms presented in the paper is available on https://github.com/kypraios/epiABC