99 research outputs found

    Effects of a Multimedia Shared Story on Comprehension of an Employee Handbook

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    Employment outcomes for individuals with intellectual disability (ID) continue to be among the lowest reported (Migliore, Butterworth, & Hart, 2009; Siperstein, Parker, & Drascher, 2013). Literacy skills are critical for obtaining employment and for supporting continued success in the workplace (Conceição, 2016), but individuals with ID typically have very low literacy levels (Katims, 2000). Limited research has been conducted on literacy skill development for young adults with ID, particularly on work-related texts such as employee handbooks. Research supports the use of shared stories on adapted age-appropriate texts for students with significant cognitive disabilities, including those with ID (Hudson & Test, 2011; Shurr & Taber-Doughty, 2012; Spooner, Kemp-Inman, Ahlgrim-Delzell, Wood, & Davis, 2015), but these studies primarily focused on elementary or middle school students. Very little research on shared stories has been conducted with older students with ID (ages 18 and up). These students may have access to functional academic instruction, such as accessing real-world texts, within high school, vocational programs, and postsecondary education programs found in colleges and universities. Participation in university-based postsecondary education programs for young adults with ID have demonstrated improved competitive employment outcomes for this population, with 82% of the students working jobs that paid at or above minimum wage (Grigal & Hart, 2013). Functional academic instruction, such as literacy skill development, within these programs has successfully included the incorporation of technology to access or supplement the intervention (Evmenova, Behrmann, Mastropieri, Baker, & Graff, 2011; McMahon, Cihak, Wright, & Bell, 2016). The purpose of this study was to examine the effects of a multimedia shared story using speech-to-text technology on the text comprehension skills of college students with ID. This intervention included the use of systematic instruction to provide error correction instruction for correctly answering comprehension questions about the text of an adapted employee handbook. This study used a multiple probe across participants design to measure the effectiveness of the intervention across three sections of the employee handbook as well as demonstration of three performance tasks related to the readings. This research seeks to extend the literature by investigating the effects of this literacy treatment package on the participants’ comprehension of the text and their ability to transfer that knowledge into a practical demonstration of related work tasks. Results indicated that three of the four participants improved in their overall correct responses to the multiple-choice questions and were able to maintain their levels of response during maintenance. One participant did not have a significant change in number of correct responses. Two of the participants were able to generalize the Safety Skills performance task. One participant generalized the intercom task. Most of the steps of the handwashing task were generalized by all three participants, but they never successfully completed one of the steps in this task. The participants, program director, and potential employer all found the intervention to be effective and relevant for the participants

    Self-monitoring Among Secondary and Post-secondary Students With Intellectual and Developmental Disabilities: Current Summary and Future Directions

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    Research presented at the 2020 Georgia Educational Research Association Conference, virtual conference. A preliminary search of the literature has revealed very few studies applicable to self-monitoring behaviours in college-aged individuals with intellectual and developmental disabilities (IDD), a technique that has been studied primarily in the elementary aged population. Learning how to self-monitor, whether it is self-monitoring behaviour or using it to learn to do tasks, is an important skill for one to become a success in college and during adulthood. This skill may allow some students to seek out and successfully complete further education and vocational training. Having individuals with disabilities able to join the workforce and advanced educational opportunities will increase their visibility, increase their opportunities for community involvement, and hopefully reduce stigma against people with disabilities. Unfortunately, there are significant gaps in the literature on self-monitoring for students with IDD who are attending post-secondary institutions. This presentation will provide an update on the current status of research on this topic as well as discuss the future directions

    Creating a Task-Analysis for Teaching Emergent Literacy Skills to Students with Autism

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    This article provides six fundamental steps for using a task analysis to teach emergent literacy skills to young learners with autism spectrum disorder (ASD). Compared to general education peers, students with ASD score lower on reading measures and often have difficulty acquiring literacy skills via the instruction methods used in typical classrooms. An effective instructional technique for many students with ASD is systematic instruction via task analysis. Task analysis may be a useful tool for teachers of students with ASD to build literacy skills by aligning instruction in missing skills to the curriculum standards. The steps to consider when using a task analysis include what emergent literacy skills will be taught, defining expected steps and correct responses, the instructional method to be used, systematic prompting techniques, piloting and updating the task analysis, and teaching and collecting data. Considerations for implementation for practice are provided

    The impact of oil industry-related social exclusion on community wellbeing and health in African countries

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    Background: Oil is the mainstay revenue for a number of African countries. However, extraction can result in multiple impacts on the health and wellbeing of communities living in oil-rich areas. This review explored evidence of oil industry-related social exclusion on community health and wellbeing on the African continent. Methods: We used a systematic approach guided by PRISMA to search six databases for empirical and descriptive sources focused on oil industry impacts, in any African country, between 1960 to 2021. Findings were grouped according to four dimensions of the Social Exclusion Knowledge Network (SEKN) framework: political, social, economic, and cultural. Results: Fifteen articles were identified, of which 13 articles focused on Nigeria; while one focused on Sudan, and one on Côte d'Ivoire and South Africa. Evidence relating to political aspects of social exclusion encompassed marginalization of indigenous communities through land grabs and unequal representation in political decision making. Limited compensation for environmental damage and livelihood displacement caused by oil-extraction, and high rates of unemployment and poverty were key themes of the economic dimension. Evidence of social impacts included lack of government, or oil-industry investment in social infrastructure; poor health and wellbeing linked to land, air, and water pollution; homelessness and lack of social cohesion. The cultural dimension of social exclusion was comparatively underexplored and only six sources included data collection with indigenous residents, and comparatively more sources were written by non-citizens or non-residents of oil-industry affected areas. Major themes included impacts on collective identity, ways of life and values, particularly where loss of ownership or access to land was experienced. Conclusion: Oil industry activities in African countries are clearly associated with multiple exclusionary impacts. However, the narrow body of empirical research limits understanding of the lived experiences and management of social exclusion by residents of oil-rich areas themselves and is an area deserving of further attention

    Practice Patterns and Preferences Among Hematopoietic Cell Transplantation Clinicians

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    Hematopoietic cell transplantation can cure many high-risk diseases but is associated with complexity, cost, and risk. Several areas in transplantation practice were identified in the 2014 Blood and Marrow Transplant Clinical Trials Network State of the Science Symposium (BMT CTN SOSS) as high priorities for further study. We developed a survey for hematopoietic cell transplantation clinicians to identify current practices in BMT CTN SOSS priority areas and to understand, more generally, the variation in approach to transplantation and estimation of transplantation benefit in current medical practice. Of 1439 transplantation clinicians surveyed, 305 responded (20% response rate). Clinicians were well represented by age, experience, geography, and size of practice. We found that several techniques identified in the BMT CTN SOSS, such as maintenance therapy for acute myeloid leukemia or myelodysplastic syndromes after allogeneic transplantation, were already being utilized in practice on and off study, with higher rates of use in higher-volume centers. There was significant variation among clinicians in use of transplantation technologies and approaches to common transplantation scenarios. Appraisals of risks and benefits of transplantation appeared to converge upon similar estimates despite the presentation of different hypothetical scenarios. These results suggest overall equipoise in several BMT CTN SOSS high-priority areas and support the need for better data to inform clinical practice

    Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

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    Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

    Multidimensional Model of Racial Identity: A Reconceptualization of African American Racial Identity

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    Research on African American racial identity has utilized 2 distinct approaches. The mainstream approach has focused on universal properties associated with ethnic and racial identities. In contrast, the underground approach has focused on documenting the qualitative meaning of being African American, with an emphasis on the unique cultural and historical experiences of African Americans. The Multidimensional Model of Racial Identity (MMRI) represents a synthesis of the strengths of these two approaches. The underlying assumptions associated with the model are explored. The model proposes 4 dimensions of African American racial identity: salience, centrality, regard, and ideology. A description of these dimensions is provided along with a discussion of how they interact to influence behavior at the level of the event. We argue that the MMRI has the potential to make contributions to traditional research objectives of both approaches, as well as to provide the impetus to explore new questions.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68695/2/10.1207_s15327957pspr0201_2.pd

    Impact of infection on proteome-wide glycosylation revealed by distinct signatures for bacterial and viral pathogens

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    Mechanisms of infection and pathogenesis have predominantly been studied based on differential gene or protein expression. Less is known about posttranslational modifications, which are essential for protein functional diversity. We applied an innovative glycoproteomics method to study the systemic proteome-wide glycosylation in response to infection. The protein site-specific glycosylation was characterized in plasma derived from well-defined controls and patients. We found 3862 unique features, of which we identified 463 distinct intact glycopeptides, that could be mapped to more than 30 different proteins. Statistical analyses were used to derive a glycopeptide signature that enabled significant differentiation between patients with a bacterial or viral infection. Furthermore, supported by a machine learning algorithm, we demonstrated the ability to identify the causative pathogens based on the distinctive host blood plasma glycopeptide signatures. These results illustrate that glycoproteomics holds enormous potential as an innovative approach to improve the interpretation of relevant biological changes in response to infection

    Relationship between molecular pathogen detection and clinical disease in febrile children across Europe: a multicentre, prospective observational study

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    BackgroundThe PERFORM study aimed to understand causes of febrile childhood illness by comparing molecular pathogen detection with current clinical practice.MethodsFebrile children and controls were recruited on presentation to hospital in 9 European countries 2016-2020. Each child was assigned a standardized diagnostic category based on retrospective review of local clinical and microbiological data. Subsequently, centralised molecular tests (CMTs) for 19 respiratory and 27 blood pathogens were performed.FindingsOf 4611 febrile children, 643 (14%) were classified as definite bacterial infection (DB), 491 (11%) as definite viral infection (DV), and 3477 (75%) had uncertain aetiology. 1061 controls without infection were recruited. CMTs detected blood bacteria more frequently in DB than DV cases for N. meningitidis (OR: 3.37, 95% CI: 1.92-5.99), S. pneumoniae (OR: 3.89, 95% CI: 2.07-7.59), Group A streptococcus (OR 2.73, 95% CI 1.13-6.09) and E. coli (OR 2.7, 95% CI 1.02-6.71). Respiratory viruses were more common in febrile children than controls, but only influenza A (OR 0.24, 95% CI 0.11-0.46), influenza B (OR 0.12, 95% CI 0.02-0.37) and RSV (OR 0.16, 95% CI: 0.06-0.36) were less common in DB than DV cases. Of 16 blood viruses, enterovirus (OR 0.43, 95% CI 0.23-0.72) and EBV (OR 0.71, 95% CI 0.56-0.90) were detected less often in DB than DV cases. Combined local diagnostics and CMTs respectively detected blood viruses and respiratory viruses in 360 (56%) and 161 (25%) of DB cases, and virus detection ruled-out bacterial infection poorly, with predictive values of 0.64 and 0.68 respectively.InterpretationMost febrile children cannot be conclusively defined as having bacterial or viral infection when molecular tests supplement conventional approaches. Viruses are detected in most patients with bacterial infections, and the clinical value of individual pathogen detection in determining treatment is low. New approaches are needed to help determine which febrile children require antibiotics.FundingEU Horizon 2020 grant 668303
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