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Auteur Ashli OWEN-SMITH |
Documents disponibles écrits par cet auteur (2)
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Short report: Transition to International Classification of Diseases, 10th Revision and the prevalence of autism in a cohort of healthcare systems / Musu M. SESAY in Autism, 28-5 (May 2024)
[article]
Titre : Short report: Transition to International Classification of Diseases, 10th Revision and the prevalence of autism in a cohort of healthcare systems Type de document : Texte imprimé et/ou numérique Auteurs : Musu M. SESAY, Auteur ; Courtney E. MCCRACKEN, Auteur ; Christine STEWART, Auteur ; Gregory SIMON, Auteur ; Robert PENFOLD, Auteur ; Brian AHMEDANI, Auteur ; Rebecca C. ROSSOM, Auteur ; Christine Y. LU, Auteur ; Arne BECK, Auteur ; Karen J. COLEMAN, Auteur ; Yihe DAIDA, Auteur ; Frances L LYNCH, Auteur ; John ZEBER, Auteur ; Laurel COPELAND, Auteur ; Ashli OWEN-SMITH, Auteur Article en page(s) : p.1316-1321 Langues : Anglais (eng) Mots-clés : autism diagnosis autism spectrum disorders International Classification of Diseases 10th Revision Index. décimale : PER Périodiques Résumé : Currently, the prevalence of autism spectrum disorder (henceforth "autism") is 1 in 36, an increasing trend from previous estimates. In 2015, the United States adopted a new version (International Classification of Diseases, 10th Revision) of the World Health Organization coding system, a standard for classifying medical conditions. Our goal was to examine how the transition to this new coding system impacted autism diagnoses in 10 healthcare systems. We obtained information from electronic medical records and insurance claims data from July 2014 through December 2016 for each healthcare system. We used member enrollment data for 30 consecutive months to observe changes 15?months before and after adoption of the new coding system. Overall, the rates of autism per 1000 enrolled members was increasing for 0- to 5-year-olds before transition to International Classification of Diseases, 10th Revision and did not substantively change after the new coding was in place. There was variation observed in autism diagnoses before and after transition to International Classification of Diseases, 10th Revision for other age groups. The change to the new coding system did not meaningfully affect autism rates at the participating healthcare systems. The increase observed among 0- to 5-year-olds is likely indicative of an ongoing trend related to increases in screening for autism rather than a shift associated with the new coding. Lay abstract Currently, the prevalence of autism spectrum disorder (henceforth "autism") is 1 in 36, an increasing trend from previous estimates. In 2015, the United States adopted a new version (International Classification of Diseases, 10th Revision) of the World Health Organization coding system, a standard for classifying medical conditions. Our goal was to examine how the transition to this new coding system impacted autism diagnoses in 10 healthcare systems. We obtained information from electronic medical records and insurance claims data from July 2014 through December 2016 for each healthcare system. We used member enrollment data for 30 consecutive months to observe changes 15?months before and after adoption of the new coding system. Overall, the rates of autism per 1000 enrolled members was increasing for 0- to 5-year-olds before transition to International Classification of Diseases, 10th Revision and did not substantively change after the new coding was in place. There was variation observed in autism diagnoses before and after transition to International Classification of Diseases, 10th Revision for other age groups. The change to the new coding system did not meaningfully affect autism rates at the participating healthcare systems. The increase observed among 0- to 5-year-olds is likely indicative of an ongoing trend related to increases in screening for autism rather than a shift associated with the new coding. En ligne : https://dx.doi.org/10.1177/13623613231220687 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=527
in Autism > 28-5 (May 2024) . - p.1316-1321[article] Short report: Transition to International Classification of Diseases, 10th Revision and the prevalence of autism in a cohort of healthcare systems [Texte imprimé et/ou numérique] / Musu M. SESAY, Auteur ; Courtney E. MCCRACKEN, Auteur ; Christine STEWART, Auteur ; Gregory SIMON, Auteur ; Robert PENFOLD, Auteur ; Brian AHMEDANI, Auteur ; Rebecca C. ROSSOM, Auteur ; Christine Y. LU, Auteur ; Arne BECK, Auteur ; Karen J. COLEMAN, Auteur ; Yihe DAIDA, Auteur ; Frances L LYNCH, Auteur ; John ZEBER, Auteur ; Laurel COPELAND, Auteur ; Ashli OWEN-SMITH, Auteur . - p.1316-1321.
Langues : Anglais (eng)
in Autism > 28-5 (May 2024) . - p.1316-1321
Mots-clés : autism diagnosis autism spectrum disorders International Classification of Diseases 10th Revision Index. décimale : PER Périodiques Résumé : Currently, the prevalence of autism spectrum disorder (henceforth "autism") is 1 in 36, an increasing trend from previous estimates. In 2015, the United States adopted a new version (International Classification of Diseases, 10th Revision) of the World Health Organization coding system, a standard for classifying medical conditions. Our goal was to examine how the transition to this new coding system impacted autism diagnoses in 10 healthcare systems. We obtained information from electronic medical records and insurance claims data from July 2014 through December 2016 for each healthcare system. We used member enrollment data for 30 consecutive months to observe changes 15?months before and after adoption of the new coding system. Overall, the rates of autism per 1000 enrolled members was increasing for 0- to 5-year-olds before transition to International Classification of Diseases, 10th Revision and did not substantively change after the new coding was in place. There was variation observed in autism diagnoses before and after transition to International Classification of Diseases, 10th Revision for other age groups. The change to the new coding system did not meaningfully affect autism rates at the participating healthcare systems. The increase observed among 0- to 5-year-olds is likely indicative of an ongoing trend related to increases in screening for autism rather than a shift associated with the new coding. Lay abstract Currently, the prevalence of autism spectrum disorder (henceforth "autism") is 1 in 36, an increasing trend from previous estimates. In 2015, the United States adopted a new version (International Classification of Diseases, 10th Revision) of the World Health Organization coding system, a standard for classifying medical conditions. Our goal was to examine how the transition to this new coding system impacted autism diagnoses in 10 healthcare systems. We obtained information from electronic medical records and insurance claims data from July 2014 through December 2016 for each healthcare system. We used member enrollment data for 30 consecutive months to observe changes 15?months before and after adoption of the new coding system. Overall, the rates of autism per 1000 enrolled members was increasing for 0- to 5-year-olds before transition to International Classification of Diseases, 10th Revision and did not substantively change after the new coding was in place. There was variation observed in autism diagnoses before and after transition to International Classification of Diseases, 10th Revision for other age groups. The change to the new coding system did not meaningfully affect autism rates at the participating healthcare systems. The increase observed among 0- to 5-year-olds is likely indicative of an ongoing trend related to increases in screening for autism rather than a shift associated with the new coding. En ligne : https://dx.doi.org/10.1177/13623613231220687 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=527 Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records / Karen J. COLEMAN in Journal of Autism and Developmental Disorders, 45-7 (July 2015)
[article]
Titre : Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records Type de document : Texte imprimé et/ou numérique Auteurs : Karen J. COLEMAN, Auteur ; Marta A. LUTSKY, Auteur ; Vincent YAU, Auteur ; Yinge QIAN, Auteur ; Magdalena E. POMICHOWSKI, Auteur ; Phillip M. CRAWFORD, Auteur ; Frances L. LYNCH, Auteur ; Jeanne M. MADDEN, Auteur ; Ashli OWEN-SMITH, Auteur ; John A. PEARSON, Auteur ; Kathryn A. PEARSON, Auteur ; Donna RUSINAK, Auteur ; Virginia P. QUINN, Auteur ; Lisa A. CROEN, Auteur Année de publication : 2015 Article en page(s) : p.1989-1996 Langues : Anglais (eng) Mots-clés : Population-based Racial/ethnic minorities Chart review Children Adolescents Index. décimale : PER Périodiques Résumé : To identify factors associated with valid Autism Spectrum Disorder (ASD) diagnoses from electronic sources in large healthcare systems. We examined 1,272 charts from ASD diagnosed youth <18 years old. Expert reviewers classified diagnoses as confirmed, probable, possible, ruled out, or not enough information. A total of 845 were classified with 81 % as a confirmed, probable, or possible ASD diagnosis. The predictors of valid ASD diagnoses were >2 diagnoses in the medical record (OR 2.94; 95 % CI 2.03–4.25; p < 0.001) and being male (OR 1.51; 95 % CI 1.05–2.17; p = 0.03). In large integrated healthcare settings, at least two diagnoses can be used to identify ASD patients for population-based research. En ligne : http://dx.doi.org/10.1007/s10803-015-2358-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=261
in Journal of Autism and Developmental Disorders > 45-7 (July 2015) . - p.1989-1996[article] Validation of Autism Spectrum Disorder Diagnoses in Large Healthcare Systems with Electronic Medical Records [Texte imprimé et/ou numérique] / Karen J. COLEMAN, Auteur ; Marta A. LUTSKY, Auteur ; Vincent YAU, Auteur ; Yinge QIAN, Auteur ; Magdalena E. POMICHOWSKI, Auteur ; Phillip M. CRAWFORD, Auteur ; Frances L. LYNCH, Auteur ; Jeanne M. MADDEN, Auteur ; Ashli OWEN-SMITH, Auteur ; John A. PEARSON, Auteur ; Kathryn A. PEARSON, Auteur ; Donna RUSINAK, Auteur ; Virginia P. QUINN, Auteur ; Lisa A. CROEN, Auteur . - 2015 . - p.1989-1996.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 45-7 (July 2015) . - p.1989-1996
Mots-clés : Population-based Racial/ethnic minorities Chart review Children Adolescents Index. décimale : PER Périodiques Résumé : To identify factors associated with valid Autism Spectrum Disorder (ASD) diagnoses from electronic sources in large healthcare systems. We examined 1,272 charts from ASD diagnosed youth <18 years old. Expert reviewers classified diagnoses as confirmed, probable, possible, ruled out, or not enough information. A total of 845 were classified with 81 % as a confirmed, probable, or possible ASD diagnosis. The predictors of valid ASD diagnoses were >2 diagnoses in the medical record (OR 2.94; 95 % CI 2.03–4.25; p < 0.001) and being male (OR 1.51; 95 % CI 1.05–2.17; p = 0.03). In large integrated healthcare settings, at least two diagnoses can be used to identify ASD patients for population-based research. En ligne : http://dx.doi.org/10.1007/s10803-015-2358-0 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=261