Building Health System Capacity through Medical Education: A Targeted Needs Assessment to Guide Development of a Structured Internal Medicine Curriculum for Medical Interns in Botswana

Background: Medical internship is the final year of training before independent practice for most doctors in Botswana. Internship training in Botswana faces challenges including variability in participants’ level of knowledge and skill related to their completion of medical school in a variety of settings (both foreign and domestic), lack of planned curricular content, and limited time for structured educational activities. Data on trainees’ opinions regarding the content and delivery of graduate medical education in settings like Botswana are limited, which makes it difficult to revise programs in a learner-centered way. Objective: To understand the perceptions and experiences of a group of medical interns in Botswana, in order to inform a large curriculum initiative. Methods: We conducted a targeted needs assessment using structured interviews at one district hospital. The interview script included demographic, quantitative, and free- response questions. Fourteen interns were asked their opinions about the content and format of structured educational activities, and provided feedback on the preferred characteristics of a new curriculum. Descriptive statistics were calculated. Findings: In the current curriculum, training workshops were the highest-scored teaching format, although most interns preferred lectures overall. Specialists were rated as the most useful teachers, and other interns and medical officers were rated as average. Interns felt they had adequate exposure to content such as HIV and tuberculosis, but inadequate exposure to areas including medical emergencies, non-communicable diseases, pain management, procedural skills, X-ray and EKG interpretation, disclosing medical information, and identifying career goals. For the new curriculum, interns preferred a structured case discussion format, and a focus on clinical reasoning and procedural skills. Conclusions: This needs assessment identified several foci for development, including a shift toward interactive sessions focused on skill development, the need to empower interns and medical officers to improve teaching skills, and the value of shifting curricular content to mirror the epidemiologic transition occurring in Botswana. Interns’ input is being used to initiate a large curriculum intervention that will be piloted and scaled nationally over the next several years. Our results underscore the value of seeking the opinion of trainees, both to aid educators in building programs that serve them and in empowering them to direct their education toward their needs and goals

Integrating plant physiology into simulation of fire behavior and effects

Wildfires are a global crisis, but current fire models fail to capture vegetation response to changing climate. With drought and elevated temperature increasing the importance of vegetation dynamics to fire behavior, and the advent of next generation models capable of capturing increasingly complex physical processes, we provide a renewed focus on representation of woody vegetation in fire models. Currently, the most advanced representations of fire behavior and biophysical fire effects are found in distinct classes of fine-scale models and do not capture variation in live fuel (i.e. living plant) properties. We demonstrate that plant water and carbon dynamics, which influence combustion and heat transfer into the plant and often dictate plant survival, provide the mechanistic linkage between fire behavior and effects. Our conceptual framework linking remotely sensed estimates of plant water and carbon to fine-scale models of fire behavior and effects could be a critical first step toward improving the fidelity of the coarse scale models that are now relied upon for global fire forecasting. This process-based approach will be essential to capturing the influence of physiological responses to drought and warming on live fuel conditions, strengthening the science needed to guide fire managers in an uncertain future

Fire behaviour and smoke modelling: model improvement and measurement needs for next-generation smoke research and forecasting systems

There is an urgent need for next-generation smoke research and forecasting (SRF) systems to meet the challenges of the growing air quality, health and safety concerns associated with wildland fire emissions. This review paper presents simulations and experiments of hypothetical prescribed burns with a suite of selected fire behaviour and smoke models and identifies major issues for model improvement and the most critical observational needs. The results are used to understand the new and improved capability required for the next-generation SRF systems and to support the design of the Fire and Smoke Model Evaluation Experiment (FASMEE) and other field campaigns. The next-generation SRF systems should have more coupling of fire, smoke and atmospheric processes. The development of the coupling capability requires comprehensive and spatially and temporally integrated measurements across the various disciplines to characterise flame and energy structure (e.g. individual cells, vertical heat profile and the height of well-mixing flaming gases), smoke structure (vertical distributions and multiple subplumes), ambient air processes (smoke eddy, entrainment and radiative effects of smoke aerosols) and fire emissions (for different fuel types and combustion conditions from flaming to residual smouldering), as well as night-time processes (smoke drainage and super-fog formation)

The Shifting Climate Portfolio of the Greater Yellowstone Area.

Knowledge of climatic variability at small spatial extents (< 50 km) is needed to assess vulnerabilities of biological reserves to climate change. We used empirical and modeled weather station data to test if climate change has increased the synchrony of surface air temperatures among 50 sites within the Greater Yellowstone Area (GYA) of the interior western United States. This important biological reserve is the largest protected area in the Lower 48 states and provides critical habitat for some of the world's most iconic wildlife. We focused our analyses on temporal shifts and shape changes in the annual distributions of seasonal minimum and maximum air temperatures among valley-bottom and higher elevation sites from 1948-2012. We documented consistent patterns of warming since 1948 at all 50 sites, with the most pronounced changes occurring during the Winter and Summer when minimum and maximum temperature distributions increased. These shifts indicate more hot temperatures and less cold temperatures would be expected across the GYA. Though the shifting statistical distributions indicate warming, little change in the shape of the temperature distributions across sites since 1948 suggest the GYA has maintained a diverse portfolio of temperatures within a year. Spatial heterogeneity in temperatures is likely maintained by the GYA's physiographic complexity and its large size, which encompasses multiple climate zones that respond differently to synoptic drivers. Having a diverse portfolio of temperatures may help biological reserves spread the extinction risk posed by climate change