An analysis of the representational pattterns of English language learners receiving special education services in school districts in South Texas

This study examined the representational patterns of English language learners receiving special education services in school districts in South Texas. Additionally, this study identified school district characteristics that were related to the probability that an English language learner might be placed in special education programs. Data were collected from the Texas Education Agency'ÃÂÃÂs Performance-Based Monitoring Analysis System 2004-2005 and Academic Excellence Indicator System for the 2003-2004 school year. Composition indices, risk indices, and relative risk ratios were calculated and reported for each of the school districts in Education Service Centers I (Edinburg), II (Corpus Christi), and XX (San Antonio) in the State of Texas (N=110). Pearson product-moment correlation coefficients were calculated to determine the direction and strength of the relationship among odds ratios and school district characteristics. These characteristics included total student enrollment, percentage of poor/underserved students, percentage of Latino students, percentage of English language learners, percentage of Latino teachers, and percentage of students in bilingual/English as a second language programs. Results indicated that English language learners in school districts in South Texas were more than twice as likely as their non-English language learner counterparts to receive special education services. Additionally, inverse relationships were documented for odds ratios equal to or greater than 2.00 and the school district characteristics of percentage of poor/underserved students, percentage of Latino students, percentage of English language learners, percentage of Latino teachers, and percentage of students in bilingual/English as a second language programs. It was concluded that there was an overrepresentation of English language learners receiving special education services in 77% (N=85) of the school districts in South Texas

An analysis of the representational pattterns of English language learners receiving special education services in school districts in South Texas

This study examined the representational patterns of English language learners receiving special education services in school districts in South Texas. Additionally, this study identified school district characteristics that were related to the probability that an English language learner might be placed in special education programs. Data were collected from the Texas Education Agency'ÃÂÃÂs Performance-Based Monitoring Analysis System 2004-2005 and Academic Excellence Indicator System for the 2003-2004 school year. Composition indices, risk indices, and relative risk ratios were calculated and reported for each of the school districts in Education Service Centers I (Edinburg), II (Corpus Christi), and XX (San Antonio) in the State of Texas (N=110). Pearson product-moment correlation coefficients were calculated to determine the direction and strength of the relationship among odds ratios and school district characteristics. These characteristics included total student enrollment, percentage of poor/underserved students, percentage of Latino students, percentage of English language learners, percentage of Latino teachers, and percentage of students in bilingual/English as a second language programs. Results indicated that English language learners in school districts in South Texas were more than twice as likely as their non-English language learner counterparts to receive special education services. Additionally, inverse relationships were documented for odds ratios equal to or greater than 2.00 and the school district characteristics of percentage of poor/underserved students, percentage of Latino students, percentage of English language learners, percentage of Latino teachers, and percentage of students in bilingual/English as a second language programs. It was concluded that there was an overrepresentation of English language learners receiving special education services in 77% (N=85) of the school districts in South Texas

Global economic burden of unmet surgical need for appendicitis

Background There is a substantial gap in provision of adequate surgical care in many low- and middle-income countries. This study aimed to identify the economic burden of unmet surgical need for the common condition of appendicitis. Methods Data on the incidence of appendicitis from 170 countries and two different approaches were used to estimate numbers of patients who do not receive surgery: as a fixed proportion of the total unmet surgical need per country (approach 1); and based on country income status (approach 2). Indirect costs with current levels of access and local quality, and those if quality were at the standards of high-income countries, were estimated. A human capital approach was applied, focusing on the economic burden resulting from premature death and absenteeism. Results Excess mortality was 4185 per 100 000 cases of appendicitis using approach 1 and 3448 per 100 000 using approach 2. The economic burden of continuing current levels of access and local quality was US $92 492 million using approach 1 and$73 141 million using approach 2. The economic burden of not providing surgical care to the standards of high-income countries was $95 004 million using approach 1 and$75 666 million using approach 2. The largest share of these costs resulted from premature death (97.7 per cent) and lack of access (97.0 per cent) in contrast to lack of quality. Conclusion For a comparatively non-complex emergency condition such as appendicitis, increasing access to care should be prioritized. Although improving quality of care should not be neglected, increasing provision of care at current standards could reduce societal costs substantially

Global economic burden of unmet surgical need for appendicitis

Background There is a substantial gap in provision of adequate surgical care in many low- and middle-income countries. This study aimed to identify the economic burden of unmet surgical need for the common condition of appendicitis. Methods Data on the incidence of appendicitis from 170 countries and two different approaches were used to estimate numbers of patients who do not receive surgery: as a fixed proportion of the total unmet surgical need per country (approach 1); and based on country income status (approach 2). Indirect costs with current levels of access and local quality, and those if quality were at the standards of high-income countries, were estimated. A human capital approach was applied, focusing on the economic burden resulting from premature death and absenteeism. Results Excess mortality was 4185 per 100 000 cases of appendicitis using approach 1 and 3448 per 100 000 using approach 2. The economic burden of continuing current levels of access and local quality was US $92 492 million using approach 1 and$73 141 million using approach 2. The economic burden of not providing surgical care to the standards of high-income countries was $95 004 million using approach 1 and$75 666 million using approach 2. The largest share of these costs resulted from premature death (97.7 per cent) and lack of access (97.0 per cent) in contrast to lack of quality. Conclusion For a comparatively non-complex emergency condition such as appendicitis, increasing access to care should be prioritized. Although improving quality of care should not be neglected, increasing provision of care at current standards could reduce societal costs substantially

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use