22 results on '"Hudson, Allison"'
Search Results
2. Adolescents With Autism Spectrum Disorder: Diagnostic Patterns, Co-occurring Conditions, and Transition Planning
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Hughes, Michelle M., Shaw, Kelly A., Patrick, Mary E., DiRienzo, Monica, Bakian, Amanda V., Bilder, Deborah A., Durkin, Maureen S., Hudson, Allison, Spivey, Margaret H., DaWalt, Leann S., Salinas, Angelica, Schwenk, Yvette D., Lopez, Maya, Baroud, Thaer M., and Maenner, Matthew J.
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- 2023
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3. Health Conditions, Education Services, and Transition Planning for Adolescents With Autism
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Hughes, Michelle M., primary, Pas, Elise T., additional, Durkin, Maureen S., additional, DaWalt, Leann S., additional, Bilder, Deborah A., additional, Bakian, Amanda V., additional, Amoakohene, Esther, additional, Shaw, Kelly A., additional, Patrick, Mary E., additional, Salinas, Angelica, additional, DiRienzo, Monica, additional, Lopez, Maya, additional, Williams, Susan, additional, McArthur, Dedria, additional, Hudson, Allison, additional, Ladd-Acosta, Christine M., additional, Schwenk, Yvette D., additional, Baroud, Thaer M., additional, Robinson Williams, Ashley, additional, Washington, Anita, additional, and Maenner, Matthew J., additional
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- 2024
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4. Prevalence of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2016
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Maenner, Matthew J., Shaw, Kelly A., Baio, Jon, Washington, Anita, Patrick, Mary, DiRienzo, Monica, Christensen, Deborah L., Wiggins, Lisa D., Pettygrove, Sydney, Andrews, Jennifer G., Lopez, Maya, Hudson, Allison, Baroud, Thaer, Schwenk, Yvette, White, Tiffany, Rosenberg, Cordelia Robinson, Lee, Li-Ching, Harrington, Rebecca A, Huston, Margaret, Hewitt, Amy, Esler, Amy, Hall-Lande, Jennifer, Poynter, Jenny N., Hallas-Muchow, Libby, Constantino, John N., Fitzgerald, Robert T., Zahorodny, Walter, Shenouda, Josephine, Daniels, Julie L., Warren, Zachary, Vehorn, Alison, Salinas, Angelica, Durkin, Maureen S., and Dietz, Patricia M.
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- 2020
5. Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020
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Maenner, Matthew J., primary, Warren, Zachary, additional, Williams, Ashley Robinson, additional, Amoakohene, Esther, additional, Bakian, Amanda V., additional, Bilder, Deborah A., additional, Durkin, Maureen S., additional, Fitzgerald, Robert T., additional, Furnier, Sarah M., additional, Hughes, Michelle M., additional, Ladd-Acosta, Christine M., additional, McArthur, Dedria, additional, Pas, Elise T., additional, Salinas, Angelica, additional, Vehorn, Alison, additional, Williams, Susan, additional, Esler, Amy, additional, Grzybowski, Andrea, additional, Hall-Lande, Jennifer, additional, Nguyen, Ruby H.N., additional, Pierce, Karen, additional, Zahorodny, Walter, additional, Hudson, Allison, additional, Hallas, Libby, additional, Mancilla, Kristen Clancy, additional, Patrick, Mary, additional, Shenouda, Josephine, additional, Sidwell, Kate, additional, DiRienzo, Monica, additional, Gutierrez, Johanna, additional, Spivey, Margaret H., additional, Lopez, Maya, additional, Pettygrove, Sydney, additional, Schwenk, Yvette D., additional, Washington, Anita, additional, and Shaw, Kelly A., additional
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- 2023
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6. Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020
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Shaw, Kelly A., primary, Bilder, Deborah A., additional, McArthur, Dedria, additional, Williams, Ashley Robinson, additional, Amoakohene, Esther, additional, Bakian, Amanda V., additional, Durkin, Maureen S., additional, Fitzgerald, Robert T., additional, Furnier, Sarah M., additional, Hughes, Michelle M., additional, Pas, Elise T., additional, Salinas, Angelica, additional, Warren, Zachary, additional, Williams, Susan, additional, Esler, Amy, additional, Grzybowski, Andrea, additional, Ladd-Acosta, Christine M., additional, Patrick, Mary, additional, Zahorodny, Walter, additional, Green, Katie K., additional, Hall-Lande, Jennifer, additional, Lopez, Maya, additional, Mancilla, Kristen Clancy, additional, Nguyen, Ruby H.N., additional, Pierce, Karen, additional, Schwenk, Yvette D., additional, Shenouda, Josephine, additional, Sidwell, Kate, additional, Vehorn, Alison, additional, DiRienzo, Monica, additional, Gutierrez, Johanna, additional, Hallas, Libby, additional, Hudson, Allison, additional, Spivey, Margaret H., additional, Pettygrove, Sydney, additional, Washington, Anita, additional, and Maenner, Matthew J., additional
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- 2023
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7. Statewide county-level autism spectrum disorder prevalence estimates—seven U.S. states, 2018
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Shaw, Kelly A., primary, Williams, Susan, additional, Hughes, Michelle M., additional, Warren, Zachary, additional, Bakian, Amanda V., additional, Durkin, Maureen S., additional, Esler, Amy, additional, Hall-Lande, Jennifer, additional, Salinas, Angelica, additional, Vehorn, Alison, additional, Andrews, Jennifer G., additional, Baroud, Thaer, additional, Bilder, Deborah A., additional, Dimian, Adele, additional, Galindo, Maureen, additional, Hudson, Allison, additional, Hallas, Libby, additional, Lopez, Maya, additional, Pokoski, Olivia, additional, Pettygrove, Sydney, additional, Rossow, Katelyn, additional, Shenouda, Josephine, additional, Schwenk, Yvette D., additional, Zahorodny, Walter, additional, Washington, Anita, additional, and Maenner, Matthew J., additional
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- 2023
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8. Sex determination in a contemporary Mexican population using the scapula
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Hudson, Allison, Peckmann, Tanya R., Logar, Ciara J., and Meek, Susan
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- 2016
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9. Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018
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Maenner, Matthew J., primary, Shaw, Kelly A., additional, Bakian, Amanda V., additional, Bilder, Deborah A., additional, Durkin, Maureen S., additional, Esler, Amy, additional, Furnier, Sarah M., additional, Hallas, Libby, additional, Hall-Lande, Jennifer, additional, Hudson, Allison, additional, Hughes, Michelle M., additional, Patrick, Mary, additional, Pierce, Karen, additional, Poynter, Jenny N., additional, Salinas, Angelica, additional, Shenouda, Josephine, additional, Vehorn, Alison, additional, Warren, Zachary, additional, Constantino, John N., additional, DiRienzo, Monica, additional, Fitzgerald, Robert T., additional, Grzybowski, Andrea, additional, Spivey, Margaret H., additional, Pettygrove, Sydney, additional, Zahorodny, Walter, additional, Ali, Akilah, additional, Andrews, Jennifer G., additional, Baroud, Thaer, additional, Gutierrez, Johanna, additional, Hewitt, Amy, additional, Lee, Li-Ching, additional, Lopez, Maya, additional, Mancilla, Kristen Clancy, additional, McArthur, Dedria, additional, Schwenk, Yvette D., additional, Washington, Anita, additional, Williams, Susan, additional, and Cogswell, Mary E., additional
- Published
- 2021
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10. Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018
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Shaw, Kelly A., primary, Maenner, Matthew J., additional, Bakian, Amanda V., additional, Bilder, Deborah A., additional, Durkin, Maureen S., additional, Furnier, Sarah M., additional, Hughes, Michelle M., additional, Patrick, Mary, additional, Pierce, Karen, additional, Salinas, Angelica, additional, Shenouda, Josephine, additional, Vehorn, Alison, additional, Warren, Zachary, additional, Zahorodny, Walter, additional, Constantino, John N., additional, DiRienzo, Monica, additional, Esler, Amy, additional, Fitzgerald, Robert T., additional, Grzybowski, Andrea, additional, Hudson, Allison, additional, Spivey, Margaret H., additional, Ali, Akilah, additional, Andrews, Jennifer G., additional, Baroud, Thaer, additional, Gutierrez, Johanna, additional, Hallas, Libby, additional, Hall-Lande, Jennifer, additional, Hewitt, Amy, additional, Lee, Li-Ching, additional, Lopez, Maya, additional, Mancilla, Kristen Clancy, additional, McArthur, Dedria, additional, Pettygrove, Sydney, additional, Poynter, Jenny N., additional, Schwenk, Yvette D., additional, Washington, Anita, additional, Williams, Susan, additional, and Cogswell, Mary E., additional
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- 2021
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11. Using quality improvement methodology and tools to reduce patient wait time in a paediatric subspecialty rheumatology clinic
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Garay, Bayardo, primary, Erlanson, Denise, additional, Binstadt, Bryce A, additional, Correll, Colleen K, additional, Fitzsimmons, Nora, additional, Hobday, Patricia M, additional, Hudson, Allison, additional, Mahmud, Shawn, additional, Riskalla, Mona M, additional, Kramer, Sara, additional, Xiong, Sheng, additional, Vehe, Richard K, additional, and Bullock, Danielle R, additional
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- 2021
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12. GENERATION Z AND THE 21st CENTURY WORKPLACE: A SCOPING REVIEW
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Burger, Rachel, primary, Fisher, Gillian, primary, Hudson, Allison, primary, and Rader, Martha, primary
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- 2021
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13. Creating Dementia-Friendly Communities for Social Inclusion: A Scoping Review
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Hung, Lillian, primary, Hudson, Allison, additional, Gregorio, Mario, additional, Jackson, Lynn, additional, Mann, Jim, additional, Horne, Neil, additional, Berndt, Annette, additional, Wallsworth, Christine, additional, Wong, Lily, additional, and Phinney, Alison, additional
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- 2021
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14. The Partial Motion to Dismiss: Is Piecemeal Litigation Required in Federal Court Under Rule 12?
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RAAB, S. JARRET and HUDSON, ALLISON B.
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MOTIONS to dismiss ,DISMISSAL & nonsuit ,DEFENDANTS ,ACTIONS & defenses (Law) - Abstract
The article discusses the issue of potential pitfalls associated with Rule 12 motion to dismiss and the requirement of piecemeal litigation for the same with reference to several court cases. Topics include extension of the defendant's time to answer the complaint under Rule 12 in fourteen days, court cases Gerlach v. Michigan Bell Telephone Co., Coca-Cola Financial v. Pure Tech Plastics LLC, and Talbot v. Sentinel Ins. Co.
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- 2012
15. Applying the Bullock § 523(a)(4) Defalcation Standard.
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GOUVEIA, GORDON E. and HUDSON, ALLISON B.
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BULLOCK v. BankChampaign (Supreme Court case) ,EMBEZZLEMENT ,FIDUCIARY responsibility ,BANKRUPTCY courts - Abstract
The authors discuss aspects of the U.S. Supreme Court case Bullock v. BankChampaign NA and the application of the Bullock 523 (a) (4) defalcation standard. Topics include the Supreme Court guidance on how to apply the defalcation standard by trial courts, violation of a fiduciary duty, and an analytical framework developed by the bankruptcy courts.
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- 2016
16. Individualized Education Programs and Transition Planning for Adolescents With Autism.
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Hughes MM, Kirby AV, Davis J, Bilder DA, Patrick M, Lopez M, DaWalt LS, Pas ET, Bakian AV, Shaw KA, DiRienzo M, Hudson A, Schwenk YD, Baroud TM, Washington A, and Maenner MJ
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- Humans, Adolescent, United States, Young Adult, Adult, Child, Education, Special, Population Surveillance, Employment, Autistic Disorder, Autism Spectrum Disorder therapy, Autism Spectrum Disorder epidemiology, Intellectual Disability
- Abstract
Objectives: The study objectives were to examine the contents of individualized education programs (IEPs) of adolescents with autism spectrum disorder (ASD), including postsecondary transition goals, services, and changes in special education classification over time., Methods: This study involved a longitudinal population-based surveillance cohort from the Autism Developmental Disabilities Monitoring Network from 2002 to 2018 in 3 catchment areas in the United States. The sample included 322 adolescents who were born in 2002, identified with ASD, and had an IEP available for review at ages 15-16 years., Results: We found that 297 (92%) adolescents with ASD had an IEP including a transition plan. Those without intellectual disability (ID) were more likely to have postsecondary education and employment goals and have those goals be to pursue higher education or competitive employment compared with those with ID. Forty-one percent of adolescents with ASD had a postsecondary living arrangement goal. Although 28% of adolescents with ASD received school-based mental health services, none of these adolescents were Black; additionally, 15% of those with ID received mental health services compared with 34% without ID. The percentage of adolescents with ASD served under an autism classification increased from 44% at age 8 years to 62% by age 16., Conclusions: We identified gaps and disparities in school-based postsecondary transition planning. Working with education partners, families, and adolescents will be important to identify what challenges contribute to these findings and what supports are needed to improve the equity and quality of the transition planning process for adolescents with ASD so they are prepared for adulthood., (Copyright © 2023 by the American Academy of Pediatrics.)
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- 2023
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17. Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020.
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Maenner MJ, Warren Z, Williams AR, Amoakohene E, Bakian AV, Bilder DA, Durkin MS, Fitzgerald RT, Furnier SM, Hughes MM, Ladd-Acosta CM, McArthur D, Pas ET, Salinas A, Vehorn A, Williams S, Esler A, Grzybowski A, Hall-Lande J, Nguyen RHN, Pierce K, Zahorodny W, Hudson A, Hallas L, Mancilla KC, Patrick M, Shenouda J, Sidwell K, DiRienzo M, Gutierrez J, Spivey MH, Lopez M, Pettygrove S, Schwenk YD, Washington A, and Shaw KA
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- Male, Female, Humans, Child, United States epidemiology, Child, Preschool, Prevalence, Developmental Disabilities, Population Surveillance, Maryland, Autism Spectrum Disorder epidemiology, Autistic Disorder diagnosis, Autistic Disorder epidemiology, Intellectual Disability
- Abstract
Problem/condition: Autism spectrum disorder (ASD)., Period Covered: 2020., Description of System: The Autism and Developmental Disabilities Monitoring (ADDM) Network is an active surveillance program that provides estimates of the prevalence of ASD among children aged 8 years. In 2020, there were 11 ADDM Network sites across the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. A child met the case definition if their record documented 1) an ASD diagnostic statement in an evaluation, 2) a classification of ASD in special education, or 3) an ASD International Classification of Diseases (ICD) code., Results: For 2020, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 23.1 in Maryland to 44.9 in California. The overall ASD prevalence was 27.6 per 1,000 (one in 36) children aged 8 years and was 3.8 times as prevalent among boys as among girls (43.0 versus 11.4). Overall, ASD prevalence was lower among non-Hispanic White children (24.3) and children of two or more races (22.9) than among non-Hispanic Black or African American (Black), Hispanic, and non-Hispanic Asian or Pacific Islander (A/PI) children (29.3, 31.6, and 33.4 respectively). ASD prevalence among non-Hispanic American Indian or Alaska Native (AI/AN) children (26.5) was similar to that of other racial and ethnic groups. ASD prevalence was associated with lower household income at three sites, with no association at the other sites.Across sites, the ASD prevalence per 1,000 children aged 8 years based exclusively on documented ASD diagnostic statements was 20.6 (range = 17.1 in Wisconsin to 35.4 in California). Of the 6,245 children who met the ASD case definition, 74.7% had a documented diagnostic statement of ASD, 65.2% had a documented ASD special education classification, 71.6% had a documented ASD ICD code, and 37.4% had all three types of ASD indicators. The median age of earliest known ASD diagnosis was 49 months and ranged from 36 months in California to 59 months in Minnesota.Among the 4,165 (66.7%) children with ASD with information on cognitive ability, 37.9% were classified as having an intellectual disability. Intellectual disability was present among 50.8% of Black, 41.5% of A/PI, 37.8% of two or more races, 34.9% of Hispanic, 34.8% of AI/AN, and 31.8% of White children with ASD. Overall, children with intellectual disability had earlier median ages of ASD diagnosis (43 months) than those without intellectual disability (53 months)., Interpretation: For 2020, one in 36 children aged 8 years (approximately 4% of boys and 1% of girls) was estimated to have ASD. These estimates are higher than previous ADDM Network estimates during 2000-2018. For the first time among children aged 8 years, the prevalence of ASD was lower among White children than among other racial and ethnic groups, reversing the direction of racial and ethnic differences in ASD prevalence observed in the past. Black children with ASD were still more likely than White children with ASD to have a co-occurring intellectual disability., Public Health Action: The continued increase among children identified with ASD, particularly among non-White children and girls, highlights the need for enhanced infrastructure to provide equitable diagnostic, treatment, and support services for all children with ASD. Similar to previous reporting periods, findings varied considerably across network sites, indicating the need for additional research to understand the nature of such differences and potentially apply successful identification strategies across states., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
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- 2023
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18. Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020.
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Shaw KA, Bilder DA, McArthur D, Williams AR, Amoakohene E, Bakian AV, Durkin MS, Fitzgerald RT, Furnier SM, Hughes MM, Pas ET, Salinas A, Warren Z, Williams S, Esler A, Grzybowski A, Ladd-Acosta CM, Patrick M, Zahorodny W, Green KK, Hall-Lande J, Lopez M, Mancilla KC, Nguyen RHN, Pierce K, Schwenk YD, Shenouda J, Sidwell K, Vehorn A, DiRienzo M, Gutierrez J, Hallas L, Hudson A, Spivey MH, Pettygrove S, Washington A, and Maenner MJ
- Subjects
- Male, Female, Humans, Child, United States epidemiology, Developmental Disabilities epidemiology, Pandemics, Population Surveillance, Utah, Prevalence, Autism Spectrum Disorder diagnosis, Autism Spectrum Disorder epidemiology, Autistic Disorder diagnosis, Autistic Disorder epidemiology, COVID-19 epidemiology
- Abstract
Problem/condition: Autism spectrum disorder (ASD)., Period Covered: 2020., Description of System: The Autism and Developmental Disabilities Monitoring Network is an active surveillance program that estimates prevalence and characteristics of ASD and monitors timing of ASD identification among children aged 4 and 8 years. In 2020, a total of 11 sites (located in Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin) conducted surveillance of ASD among children aged 4 and 8 years and suspected ASD among children aged 4 years. Surveillance included children who lived in the surveillance area at any time during 2020. Children were classified as having ASD if they ever received 1) an ASD diagnostic statement in an evaluation, 2) a special education classification of autism (eligibility), or 3) an ASD International Classification of Diseases (ICD) code (revisions 9 or 10). Children aged 4 years were classified as having suspected ASD if they did not meet the case definition for ASD but had a documented qualified professional's statement indicating a suspicion of ASD. This report focuses on children aged 4 years in 2020 compared with children aged 8 years in 2020., Results: For 2020, ASD prevalence among children aged 4 years varied across sites, from 12.7 per 1,000 children in Utah to 46.4 in California. The overall prevalence was 21.5 and was higher among boys than girls at every site. Compared with non-Hispanic White children, ASD prevalence was 1.8 times as high among Hispanic, 1.6 times as high among non-Hispanic Black, 1.4 times as high among Asian or Pacific Islander, and 1.2 times as high among multiracial children. Among the 58.3% of children aged 4 years with ASD and information on intellectual ability, 48.5% had an IQ score of ≤70 on their most recent IQ test or an examiner's statement of intellectual disability. Among children with a documented developmental evaluation, 78.0% were evaluated by age 36 months. Children aged 4 years had a higher cumulative incidence of ASD diagnosis or eligibility by age 48 months compared with children aged 8 years at all sites; risk ratios ranged from 1.3 in New Jersey and Utah to 2.0 in Tennessee. In the 6 months before the March 2020 COVID-19 pandemic declaration by the World Health Organization, there were 1,593 more evaluations and 1.89 more ASD identifications per 1,000 children aged 4 years than children aged 8 years received 4 years earlier. After the COVID-19 pandemic declaration, this pattern reversed: in the 6 months after pandemic onset, there were 217 fewer evaluations and 0.26 fewer identifications per 1,000 children aged 4 years than children aged 8 years received 4 years earlier. Patterns of evaluation and identification varied among sites, but there was not recovery to pre-COVID-19 pandemic levels by the end of 2020 at most sites or overall. For 2020, prevalence of suspected ASD ranged from 0.5 (California) to 10.4 (Arkansas) per 1,000 children aged 4 years, with an increase from 2018 at five sites (Arizona, Arkansas, Maryland, New Jersey, and Utah). Demographic and cognitive characteristics of children aged 4 years with suspected ASD were similar to children aged 4 years with ASD., Interpretation: A wide range of prevalence of ASD by age 4 years was observed, suggesting differences in early ASD identification practices among communities. At all sites, cumulative incidence of ASD by age 48 months among children aged 4 years was higher compared with children aged 8 years in 2020, indicating improvements in early identification of ASD. Higher numbers of evaluations and rates of identification were evident among children aged 4 years until the COVID-19 pandemic onset in 2020. Sustained lower levels of ASD evaluations and identification seen at a majority of sites after the pandemic onset could indicate disruptions in typical practices in evaluations and identification for health service providers and schools through the end of 2020. Sites with more recovery could indicate successful strategies to mitigate service interruption, such as pivoting to telehealth approaches for evaluation., Public Health Action: From 2016 through February of 2020, ASD evaluation and identification among the cohort of children aged 4 years was outpacing ASD evaluation and identification 4 years earlier (from 2012 until March 2016) among the cohort of children aged 8 years in 2020 . From 2016 to March 2020, ASD evaluation and identification among the cohort of children aged 4 years was outpacing that among children aged 8 years in 2020 from 2012 until March 2016. The disruptions in evaluation that coincided with the start of the COVID-19 pandemic and the increase in prevalence of suspected ASD in 2020 could have led to delays in ASD identification and interventions. Communities could evaluate the impact of these disruptions as children in affected cohorts age and consider strategies to mitigate service disruptions caused by future public health emergencies., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest.
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- 2023
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19. Early Identification of Autism Spectrum Disorder Among Children Aged 4 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018.
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Shaw KA, Maenner MJ, Bakian AV, Bilder DA, Durkin MS, Furnier SM, Hughes MM, Patrick M, Pierce K, Salinas A, Shenouda J, Vehorn A, Warren Z, Zahorodny W, Constantino JN, DiRienzo M, Esler A, Fitzgerald RT, Grzybowski A, Hudson A, Spivey MH, Ali A, Andrews JG, Baroud T, Gutierrez J, Hallas L, Hall-Lande J, Hewitt A, Lee LC, Lopez M, Mancilla KC, McArthur D, Pettygrove S, Poynter JN, Schwenk YD, Washington A, Williams S, and Cogswell ME
- Subjects
- Autism Spectrum Disorder epidemiology, Child, Preschool, Early Diagnosis, Epidemiological Monitoring, Female, Humans, Male, United States epidemiology, Autism Spectrum Disorder diagnosis, Population Surveillance
- Abstract
Problem/condition: Autism spectrum disorder (ASD)., Period Covered: 2018., Description of System: The Autism and Developmental Disabilities Monitoring Network is an active surveillance program that estimates ASD prevalence and monitors timing of ASD identification among children aged 4 and 8 years. This report focuses on children aged 4 years in 2018, who were born in 2014 and had a parent or guardian who lived in the surveillance area in one of 11 sites (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin) at any time during 2018. Children were classified as having ASD if they ever received 1) an ASD diagnostic statement (diagnosis) in an evaluation, 2) a special education classification of ASD (eligibility), or 3) an ASD International Classification of Diseases (ICD) code. Suspected ASD also was tracked among children aged 4 years. Children who did not meet the case definition for ASD were classified as having suspected ASD if their records contained a qualified professional's statement indicating a suspicion of ASD., Results: For 2018, the overall ASD prevalence was 17.0 per 1,000 (one in 59) children aged 4 years. Prevalence varied from 9.1 per 1,000 in Utah to 41.6 per 1,000 in California. At every site, prevalence was higher among boys than girls, with an overall male-to-female prevalence ratio of 3.4. Prevalence of ASD among children aged 4 years was lower among non-Hispanic White (White) children (12.9 per 1,000) than among non-Hispanic Black (Black) children (16.6 per 1,000), Hispanic children (21.1 per 1,000), and Asian/Pacific Islander (A/PI) children (22.7 per 1,000). Among children aged 4 years with ASD and information on intellectual ability, 52% met the surveillance case definition of co-occurring intellectual disability (intelligence quotient ≤70 or an examiner's statement of intellectual disability documented in an evaluation). Of children aged 4 years with ASD, 72% had a first evaluation at age ≤36 months. Stratified by census-tract-level median household income (MHI) tertile, a lower percentage of children with ASD and intellectual disability was evaluated by age 36 months in the low MHI tertile (72%) than in the high MHI tertile (84%). Cumulative incidence of ASD diagnosis or eligibility received by age 48 months was 1.5 times as high among children aged 4 years (13.6 per 1,000 children born in 2014) as among those aged 8 years (8.9 per 1,000 children born in 2010). Across MHI tertiles, higher cumulative incidence of ASD diagnosis or eligibility received by age 48 months was associated with lower MHI. Suspected ASD prevalence was 2.6 per 1,000 children aged 4 years, meaning for every six children with ASD, one child had suspected ASD. The combined prevalence of ASD and suspected ASD (19.7 per 1,000 children aged 4 years) was lower than ASD prevalence among children aged 8 years (23.0 per 1,000 children aged 8 years)., Interpretation: Groups with historically lower prevalence of ASD (non-White and lower MHI) had higher prevalence and cumulative incidence of ASD among children aged 4 years in 2018, suggesting progress in identification among these groups. However, a lower percentage of children with ASD and intellectual disability in the low MHI tertile were evaluated by age 36 months than in the high MHI group, indicating disparity in timely evaluation. Children aged 4 years had a higher cumulative incidence of diagnosis or eligibility by age 48 months compared with children aged 8 years, indicating improvement in early identification of ASD. The overall prevalence for children aged 4 years was less than children aged 8 years, even when prevalence of children suspected of having ASD by age 4 years is included. This finding suggests that many children identified after age 4 years do not have suspected ASD documented by age 48 months., Public Health Action: Children born in 2014 were more likely to be identified with ASD by age 48 months than children born in 2010, indicating increased early identification. However, ASD identification among children aged 4 years varied by site, suggesting opportunities to examine developmental screening and diagnostic practices that promote earlier identification. Children aged 4 years also were more likely to have co-occurring intellectual disability than children aged 8 years, suggesting that improvement in the early identification and evaluation of developmental concerns outside of cognitive impairments is still needed. Improving early identification of ASD could lead to earlier receipt of evidence-based interventions and potentially improve developmental outcomes., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
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- 2021
- Full Text
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20. Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018.
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Maenner MJ, Shaw KA, Bakian AV, Bilder DA, Durkin MS, Esler A, Furnier SM, Hallas L, Hall-Lande J, Hudson A, Hughes MM, Patrick M, Pierce K, Poynter JN, Salinas A, Shenouda J, Vehorn A, Warren Z, Constantino JN, DiRienzo M, Fitzgerald RT, Grzybowski A, Spivey MH, Pettygrove S, Zahorodny W, Ali A, Andrews JG, Baroud T, Gutierrez J, Hewitt A, Lee LC, Lopez M, Mancilla KC, McArthur D, Schwenk YD, Washington A, Williams S, and Cogswell ME
- Subjects
- Autism Spectrum Disorder ethnology, Child, Epidemiological Monitoring, Ethnicity statistics & numerical data, Female, Geography, Humans, Male, Prevalence, Race Factors, Racial Groups statistics & numerical data, United States epidemiology, Autism Spectrum Disorder epidemiology, Health Status Disparities, Population Surveillance
- Abstract
Problem/condition: Autism spectrum disorder (ASD)., Period Covered: 2018., Description of System: The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts active surveillance of ASD. This report focuses on the prevalence and characteristics of ASD among children aged 8 years in 2018 whose parents or guardians lived in 11 ADDM Network sites in the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. In 2018, children met the case definition if their records documented 1) an ASD diagnostic statement in an evaluation (diagnosis), 2) a special education classification of ASD (eligibility), or 3) an ASD International Classification of Diseases (ICD) code., Results: For 2018, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 16.5 in Missouri to 38.9 in California. The overall ASD prevalence was 23.0 per 1,000 (one in 44) children aged 8 years, and ASD was 4.2 times as prevalent among boys as among girls. Overall ASD prevalence was similar across racial and ethnic groups, except American Indian/Alaska Native children had higher ASD prevalence than non-Hispanic White (White) children (29.0 versus 21.2 per 1,000 children aged 8 years). At multiple sites, Hispanic children had lower ASD prevalence than White children (Arizona, Arkansas, Georgia, and Utah), and non-Hispanic Black (Black) children (Georgia and Minnesota). The associations between ASD prevalence and neighborhood-level median household income varied by site. Among the 5,058 children who met the ASD case definition, 75.8% had a diagnostic statement of ASD in an evaluation, 18.8% had an ASD special education classification or eligibility and no ASD diagnostic statement, and 5.4% had an ASD ICD code only. ASD prevalence per 1,000 children aged 8 years that was based exclusively on documented ASD diagnostic statements was 17.4 overall (range: 11.2 in Maryland to 29.9 in California). The median age of earliest known ASD diagnosis ranged from 36 months in California to 63 months in Minnesota. Among the 3,007 children with ASD and data on cognitive ability, 35.2% were classified as having an intelligence quotient (IQ) score ≤70. The percentages of children with ASD with IQ scores ≤70 were 49.8%, 33.1%, and 29.7% among Black, Hispanic, and White children, respectively. Overall, children with ASD and IQ scores ≤70 had earlier median ages of ASD diagnosis than children with ASD and IQ scores >70 (44 versus 53 months)., Interpretation: In 2018, one in 44 children aged 8 years was estimated to have ASD, and prevalence and median age of identification varied widely across sites. Whereas overall ASD prevalence was similar by race and ethnicity, at certain sites Hispanic children were less likely to be identified as having ASD than White or Black children. The higher proportion of Black children compared with White and Hispanic children classified as having intellectual disability was consistent with previous findings., Public Health Action: The variability in ASD prevalence and community ASD identification practices among children with different racial, ethnic, and geographical characteristics highlights the importance of research into the causes of that variability and strategies to provide equitable access to developmental evaluations and services. These findings also underscore the need for enhanced infrastructure for diagnostic, treatment, and support services to meet the needs of all children., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.
- Published
- 2021
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21. North End Community Health Centre in Halifax, NS: Relationship-based care goes beyond collaborative care to address patient needs.
- Author
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Hudson A, Boudreau AD, and Graham J
- Subjects
- Anthropology, Cultural, Attitude of Health Personnel, Health Care Costs, Humans, Interviews as Topic, Nova Scotia, Qualitative Research, Community Health Centers, Patient-Centered Care organization & administration, Professional-Patient Relations, Quality of Health Care organization & administration
- Abstract
Objective: To identify and describe features of relationship-based care that contribute to a successful collaborative model of primary care delivery., Design: Focused institutional ethnography using a critical medical anthropology approach., Setting: The North End Community Health Centre (NECHC) in downtown Halifax, NS., Participants: Twenty health care providers employed or previously employed at the NECHC., Methods: Qualitative data collection included participant observation, recorded and transcribed semistructured interviews, informal discussions, and policy document analysis. Data collection continued until saturation was reached, between December 2014 and October 2016. Data were member checked, coded, and triangulated with evidence from policy documents and informal conversations to establish credibility., Main Findings: The NECHC offers high-quality care to the community, welcoming marginalized, vulnerable populations. The NECHC's recognized success is grounded in unique relationships among providers, patients, and the community. Four key themes contributing to relationship-based care in the clinic's operation emerged: an activist provider identity, cultural safety, provider-patient relationships, and provider-provider relationships. Inadequate provincial funding mechanisms limit the work and development of the clinic., Conclusion: Collaborative care is advanced by health authorities to improve quality of care and reduce health care costs. This model is still poorly understood in Nova Scotia. The findings, which draw on focused ethnographic fieldwork and analysis of the NECHC, suggest that the NECHC is a pragmatic real-world model of collaborative health care. The success of its approach relies on a deliberative democratic realization of reflexive practice through relationship-based care., (Copyright© the College of Family Physicians of Canada.)
- Published
- 2019
22. The Arkansas Autism Developmental Disabilities Monitoring (AR ADDM) project: statewide autism surveillance in a rural state.
- Author
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Lopez M, Schulz EG, Baroud T, Hudson A, and Wilson M
- Subjects
- Arkansas epidemiology, Child, Female, Humans, Male, Prevalence, Program Evaluation, Quality of Health Care statistics & numerical data, Rural Population statistics & numerical data, Autistic Disorder epidemiology, Autistic Disorder rehabilitation, Autistic Disorder therapy, Developmental Disabilities epidemiology, Developmental Disabilities rehabilitation, Developmental Disabilities therapy, Education, Special standards, Education, Special statistics & numerical data, Population Surveillance methods
- Abstract
In 2002, the Arkansas Autism and Developmental Disabilities Monitoring (AR ADDM) project collected data on the number and characteristics of resident children aged 8 years using a retrospective record review standardized methodology. This paper provides a first-look epidemiology of ASDs among 8 year old Arkansas children using data from the 2002 study year. Overall prevalence estimates, demographic distribution and a temporal lag from concerns identified to diagnosis of ASDs among 8 year olds in Arkansas were similar to that in other sites. Dissemination of information that promotes timely resolution of developmental concerns and improving educational services will benefit children with autism in Arkansas.
- Published
- 2012
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