Occupational therapy's role in promoting the "Learn the Signs. Act Early." developmental monitoring program to public health employees.

Background: Occupational therapists can play a key role in early identification of delay at the population health level by providing education to public health employees on how to implement developmental monitoring with caregivers of children birth to age 5. Methods: A pretest posttest design was utilized to assess the online education and training that was provided to Department of Public Health employees (N = 339), including Head Start, Special Supplemental Nutrition Program for Women, Infants and Children, Home Visiting, and Early Intervention. Results: Analysis of pretest-posttest survey data showed significant results for all 12 key learning outcomes. Six out of 12 outcomes were found to have a large effect size (d > 0.8), 4 outcomes indicated a medium effect size (d > 0.5), and 2 outcomes had a small effect size (d > 0.2). Participants gained knowledge of the "Learn the Signs. Act Early." (LTSAE) developmental monitoring program, the difference between developmental monitoring and screening, the state's referral system and age-appropriate parental engagement activities through knowledge of child development. Conclusions: Occupational therapists are child development specialists who can provide education on developmental monitoring and activities for parental engagement. The online course proved to be an effective platform to promote LTSAE within state agencies.

Investigation of Assessment Tools in the Area of Pediatric Feeding Evaluation: A Mixed-Methods Study.

IMPORTANCE: The new diagnostic code for pediatric feeding disorder (PFD) in the International Classification of Diseases, 10th edition, Clinical Modification, requires that occupational therapists and speech-language pathologists (SLPs) use valid and reliable assessment tools that capture the complexity of PFD. OBJECTIVE: To determine current assessment tools that clinicians are using across the four domains of PFD: (1) medical factors, (2) nutrition factors, (3) feeding skill factors, and (4) psychosocial factors. A secondary objective was to obtain clinicians' perceptions of the assessment tools. DESIGN: A mixed-methods study using survey research and focus groups. SETTING: Online survey and virtual focus groups. PARTICIPANTS: Occupational therapists and SLPs who identified as clinicians who treat PFDs. RESULTS: The survey revealed that 65% of the clinicians (N = 445) used a nonstandardized assessment tool across the four domains of PFD. The focus groups (n = 26) revealed four resulting themes that expanded the survey results: (1) no one assessment tool works, (2) clinicians rely on self-created assessments, (3) it takes a team and collaboration, and (4) there are many issues with the current assessment of PFD. CONCLUSIONS AND RELEVANCE: This study reveals the need for clinicians working with children with PFD to use feeding assessment tools with sound psychometric properties. The requirement for occupational therapists and SLPs to evaluate and treat dysphagia and disorders of feeding indicates the need to provide entry-level education on reliable and valid assessment tools that thoroughly evaluate all the domains of PFD. What This Article Adds: This article highlights current assessment tools used by occupational therapists and SLPs treating PFD and the need for more standardized procedures and tools to evaluate children across the four domains of PFD.

Bat detective-Deep learning tools for bat acoustic signal detection.

Passive acoustic sensing has emerged as a powerful tool for quantifying anthropogenic impacts on biodiversity, especially for echolocating bat species. To better assess bat population trends there is a critical need for accurate, reliable, and open source tools that allow the detection and classification of bat calls in large collections of audio recordings. The majority of existing tools are commercial or have focused on the species classification task, neglecting the important problem of first localizing echolocation calls in audio which is particularly problematic in noisy recordings. We developed a convolutional neural network based open-source pipeline for detecting ultrasonic, full-spectrum, search-phase calls produced by echolocating bats. Our deep learning algorithms were trained on full-spectrum ultrasonic audio collected along road-transects across Europe and labelled by citizen scientists from www.batdetective.org. When compared to other existing algorithms and commercial systems, we show significantly higher detection performance of search-phase echolocation calls with our test sets. As an example application, we ran our detection pipeline on bat monitoring data collected over five years from Jersey (UK), and compared results to a widely-used commercial system. Our detection pipeline can be used for the automatic detection and monitoring of bat populations, and further facilitates their use as indicator species on a large scale. Our proposed pipeline makes only a small number of bat specific design decisions, and with appropriate training data it could be applied to detecting other species in audio. A crucial novelty of our work is showing that with careful, non-trivial, design and implementation considerations, state-of-the-art deep learning methods can be used for accurate and efficient monitoring in audio.

Differential responses of cryptic bat species to the urban landscape.

Urbanization is a key global driver in the modification of land use and has been linked to population declines even in widespread and relatively common species. Cities comprise a complex assortment of habitat types yet we know relatively little about the effects of their composition and spatial configuration on species distribution. Although many bat species exploit human resources, the majority of species are negatively impacted by urbanization. Here, we use data from the National Bat Monitoring Programme, a long-running citizen science scheme, to assess how two cryptic European bat species respond to the urban landscape. A total of 124 × 1 km(2) sites throughout Britain were surveyed. The landscape surrounding each site was mapped and classified into discrete biotope types (e.g., woodland). Generalized linear models were used to assess differences in the response to the urban environment between the two species, and which landscape factors were associated with the distributions of P. pipistrellus and P. pygmaeus. The relative prevalence of P. pygmaeus compared to P. pipistrellus was greater in urban landscapes with a higher density of rivers and lakes, whereas P. pipistrellus was frequently detected in landscapes comprising a high proportion of green space (e.g., parklands). Although P. pipistrellus is thought to be well adapted to the urban landscape, we found a strong negative response to urbanization at a relatively local scale (1 km), whilst P. pygmaeus was detected more regularly in wooded urban landscapes containing freshwater. These results show differential habitat use at a landscape scale of two morphologically similar species, indicating that cryptic species may respond differently to anthropogenic disturbance. Even species considered relatively common and well adapted to the urban landscape may respond negatively to the built environment highlighting the future challenges involved in maintaining biodiversity within an increasingly urbanized world.

Agricultural Management and Climatic Change Are the Major Drivers of Biodiversity Change in the UK.

Action to reduce anthropogenic impact on the environment and species within it will be most effective when targeted towards activities that have the greatest impact on biodiversity. To do this effectively we need to better understand the relative importance of different activities and how they drive changes in species' populations. Here, we present a novel, flexible framework that reviews evidence for the relative importance of these drivers of change and uses it to explain recent alterations in species' populations. We review drivers of change across four hundred species sampled from a broad range of taxonomic groups in the UK. We found that species' population change (~1970-2012) has been most strongly impacted by intensive management of agricultural land and by climatic change. The impact of the former was primarily deleterious, whereas the impact of climatic change to date has been more mixed. Findings were similar across the three major taxonomic groups assessed (insects, vascular plants and vertebrates). In general, the way a habitat was managed had a greater impact than changes in its extent, which accords with the relatively small changes in the areas occupied by different habitats during our study period, compared to substantial changes in habitat management. Of the drivers classified as conservation measures, low-intensity management of agricultural land and habitat creation had the greatest impact. Our framework could be used to assess the relative importance of drivers at a range of scales to better inform our policy and management decisions. Furthermore, by scoring the quality of evidence, this framework helps us identify research gaps and needs.