Preparing allied health students for placement: a contrast of learning modalities for foundational skill development.

BACKGROUND: With increasing pressure on placement capacity for allied health students, a need for novel and creative means through which students can develop foundational skills and prepare for practice-based learning opportunities has arisen. This study aimed to explore the experiences of domestic and international first-year students completing pre-clinical preparation programs, contrasting between in-person simulation and online options to contribute to best practice evidence for program design and delivery. METHODS: First-year students from physiotherapy, podiatry and occupational therapy self-selected to either a one-weeklong in-person simulation program or an online preparation for placement program. An integrative mixed-methods approach was employed. Qualitative findings from student focus groups were analyzed by reflexive thematic analysis and complemented by quantitative pre-post questionnaires which were examined for patterns of findings. RESULTS: There were 53 student participants in the study (simulation n = 29; online n = 24). Self-selecting, international students disproportionately opted for the simulation program while older students disproportionately selected the online program. Students appeared to benefit more from the simulation program than the online program, with alignment of focus group findings to the quantitative questionnaire data. The in-person simulation allowed students to apply their learning and practice patient communication. All simulation students reported asubsequent increase in confidence, although this seemed particularly marked for the international students. By contrast, the online program was most effective at developing students' clinical reasoning and proficiency with documentation. Both programs faced minor challenges to student perceived relevance and skill development. CONCLUSION: Both online and in-person simulation preparation programs were perceived to enhance readiness and foundational skills development for novice allied health students, with the practical nature of simulation generating more advantageous findings. This study provides useful information on the benefits and challenges of both types of delivery for foundational skills development and/or clinical preparation of allied health students.

Remote medico-legal assessment by telephone during COVID-19: Monitoring safety and quality when documenting evidence of torture for UK asylum applicants.

INTRODUCTION: Due to the COVID-19 pandemic, Freedom from Torture developed remote telephone assessments to provide interim medico-legal reports, ensuring people could obtain medical evidence to support their asylum claim. METHOD: To audit this new way of working, feedback was collected from the doctors, interpreters, individuals being assessed, and senior medical and legal staff who reviewed the reports. This paper presents findings from the first 20 assessments. RESULTS: Individuals assessed reported that the doctor developed good rapport, but in 35% of assessments reported that there were some experiences they felt unable to disclose. In 70% of assessments, doctors felt that rapport was not as good compared to face-to-face. In the majority of assessments, doctors were unable to gain a full account of the torture or its impact. They reported feeling cautious about pressing for more information on the telephone, mindful of individuals' vulnerability and the difficulty of providing support remotely. Nevertheless, in 85% of assessments doctors felt able to assess the consistency of the account of torture with the psychological findings, in accordance with the Istanbul Protocol (United Nations, 2004). Factors that hindered the assessment included the inability to observe body language, the person's ill health, and confidentiality concerns. CONCLUSION: This research indicates that psychological medico-legal reports can safely be produced by telephone assessment, but are more likely to be incomplete in terms of both full disclosure of torture experiences and psychological assessment. The limitations underline the need for a follow-up face-to-face assessment to expand the psychological assessment as well as undertake a physical assessment.

Principles of predicting plant virus disease epidemics.

Predicting epidemics of plant virus disease constitutes a challenging undertaking due to the complexity of the three-cornered pathosystems (virus, vector, and host) involved and their interactions with the environment. A complicated nomenclature is used to describe virus epidemiological models. This review explains how the nomenclature evolved and provides a historical account of the development of such models. The process and steps involved in devising models that incorporate weather variables and data retrieval and are able to forecast plant virus epidemics effectively are explained. Their application to provide user-friendly, Internet-based decision support systems (DSSs) that determine when and where control measures are needed is described. Finally, case studies are provided of eight pathosystems representing different scenarios in which modeling approaches have been used with varying degrees of effectiveness to forecast virus epidemics in parts of the world with temperate, Mediterranean, subtropical, and tropical climates.

Forecasting aphid outbreaks and epidemics of Cucumber mosaic virus in lupin crops in a Mediterranean-type environment.

Cucumber mosaic virus (CMV) causes a serious disease of narrow-leafed lupin (Lupinus angustifolius). It is seed-borne in lupin and seed-infected plants act as the primary virus source for secondary spread by aphid vectors within crops. Infection with CMV causes yield losses of up to 60% in epidemic years, but has little impact on yield in years when spread is limited. Aphids also cause sporadic yield losses due to direct feeding damage. A simulation model was developed to forecast aphid outbreaks and epidemics of CMV in lupin crops growing in the 'grainbelt' of south-west Australia, which has a Mediterranean-type climate. The model uses rainfall during summer and early autumn to calculate an index of aphid build-up on weeds, crop volunteers and self-regenerating annual pastures in each 'grainbelt' locality before the growing season commences in late autumn. The index is used to forecast the timing of aphid immigration into crops. The subsequent aphid build-up and movement within the crop, spread of CMV from virus-infected source plants within the crop, yield losses and percentage of harvested seed-infected are then calculated. The model evaluates the effects of different sowing dates, percentages of CMV infection in seed sown and plant population densities on virus spread. The model simulations were validated with 14 years' field data from six different sites in the 'grainbelt', representing a wide range of pre-growing season rainfall scenarios, sowing dates, percentages of infection in seed sown and plant population densities. The model was incorporated into a decision support system (DSS) for use by lupin farmers and agricultural consultants in planning CMV management and targeting sprays against aphids to prevent direct feeding damage. The inputs required from the user are lupin cultivar, anticipated emergence date, percentage CMV infection in seed sown, plant density and location. The output consists of a personalised risk forecast for the user and includes predictions for date of first aphid arrival, aphid numbers, CMV spread, final virus incidence, yield loss due to infection and percentage infection in harvested seed. Predictions from the DSS are accessible via an Internet site and from other information sources. The model can serve as a template for modelling similar virus/aphid vector pathosystems in other regions of the world, especially those with Mediterranean-type climates.