Health Services Utilization Among Children With and Without Autism Spectrum Disorders / Janet R. CUMMINGS in Journal of Autism and Developmental Disorders, 46-3 (March 2016)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 46-3 (March 2016) . - p.910-920 Titre : Health Services Utilization Among Children With and Without Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Janet R. CUMMINGS, Auteur ; Frances L. LYNCH, Auteur ; Kristal C. RUST, Auteur ; Karen J. COLEMAN, Auteur ; Jeanne M. MADDEN, Auteur ; Ashli A. OWEN-SMITH, Auteur ; Vincent M. YAU, Auteur ; Yinge QIAN, Auteur ; Kathryn A. PEARSON, Auteur ; Phillip M. CRAWFORD, Auteur ; Maria L. MASSOLO, Auteur ; Virginia P. QUINN, Auteur ; Lisa A. CROEN, Auteur Article en page(s) : p.910-920 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders  Health care utilization  Preventive services  Children  Adolescents Index. décimale : PER Périodiques Résumé : Using data from multiple health systems (2009–2010) and the largest sample to date, this study compares health services use among youth with and without an autism spectrum disorder (ASD)—including preventive services not previously studied. To examine these differences, we estimated logistic and count data models, controlling for demographic characteristics, comorbid physical health, and mental health conditions. Results indicated that youth with an ASD had greater health care use in many categories, but were less likely to receive important preventive services including flu shots and other vaccinations. An improved understanding of the overall patterns of health care use among this population could enable health systems to facilitate the receipt of appropriate and effective health care. En ligne : http://dx.doi.org/10.1007/s10803-015-2634-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=281 [article] Health Services Utilization Among Children With and Without Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Janet R. CUMMINGS, Auteur ; Frances L. LYNCH, Auteur ; Kristal C. RUST, Auteur ; Karen J. COLEMAN, Auteur ; Jeanne M. MADDEN, Auteur ; Ashli A. OWEN-SMITH, Auteur ; Vincent M. YAU, Auteur ; Yinge QIAN, Auteur ; Kathryn A. PEARSON, Auteur ; Phillip M. CRAWFORD, Auteur ; Maria L. MASSOLO, Auteur ; Virginia P. QUINN, Auteur ; Lisa A. CROEN, Auteur . - p.910-920. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 46-3 (March 2016) . - p.910-920 Mots-clés : Autism spectrum disorders  Health care utilization  Preventive services  Children  Adolescents Index. décimale : PER Périodiques Résumé : Using data from multiple health systems (2009–2010) and the largest sample to date, this study compares health services use among youth with and without an autism spectrum disorder (ASD)—including preventive services not previously studied. To examine these differences, we estimated logistic and count data models, controlling for demographic characteristics, comorbid physical health, and mental health conditions. Results indicated that youth with an ASD had greater health care use in many categories, but were less likely to receive important preventive services including flu shots and other vaccinations. An improved understanding of the overall patterns of health care use among this population could enable health systems to facilitate the receipt of appropriate and effective health care. En ligne : http://dx.doi.org/10.1007/s10803-015-2634-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=281

Prevalence and predictors of complementary and alternative medicine use in a large insured sample of children with Autism Spectrum Disorders / Ashli A. OWEN-SMITH in Research in Autism Spectrum Disorders, 17 (September 2015)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 17 (September 2015) . - p.40-51 Titre : Prevalence and predictors of complementary and alternative medicine use in a large insured sample of children with Autism Spectrum Disorders Type de document : Texte imprimé et/ou numérique Auteurs : Ashli A. OWEN-SMITH, Auteur ; Stephen BENT, Auteur ; Frances L. LYNCH, Auteur ; Karen J. COLEMAN, Auteur ; Vincent M. YAU, Auteur ; Kathryn A. PEARSON, Auteur ; Maria L. MASSOLO, Auteur ; Virginia QUINN, Auteur ; Lisa A. CROEN, Auteur Année de publication : 2015 Article en page(s) : p.40-51 Langues : Anglais (eng) Mots-clés : Complementary and alternative medicine  Autism spectrum disorders  Drug interactions Index. décimale : PER Périodiques Résumé : AbstractPurpose The purpose of the present study was to examine the prevalence and predictors of complementary and alternative medicine (CAM) use as well as parental perceptions of CAM efficacy in a large, geographically diverse sample of children with Autism Spectrum Disorders (ASD). Methodology Data were obtained from a web-based survey administered to parents of children with ASD at four sites participating in the Mental Health Research Network (MHRN). The web survey obtained information about services and treatments received by children with ASD as well as the caregivers’ experiences with having a child with ASD. Results Approximately 88% of the sample had either used CAM in the past or had recently used some type of CAM. The following characteristics were associated with CAM use: greater parental education, younger child age, a mix of regular and special classroom settings and prescription drug use in the past three months. Conclusions The use of CAM was very prevalent in this large, geographically diverse sample of children with ASD. It is critical that providers be prepared to discuss the advantages and potential side effects with families to help them make well-informed health care decisions and prevent possible CAM-drug interactions. En ligne : http://dx.doi.org/10.1016/j.rasd.2015.05.002 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=263 [article] Prevalence and predictors of complementary and alternative medicine use in a large insured sample of children with Autism Spectrum Disorders [Texte imprimé et/ou numérique] / Ashli A. OWEN-SMITH, Auteur ; Stephen BENT, Auteur ; Frances L. LYNCH, Auteur ; Karen J. COLEMAN, Auteur ; Vincent M. YAU, Auteur ; Kathryn A. PEARSON, Auteur ; Maria L. MASSOLO, Auteur ; Virginia QUINN, Auteur ; Lisa A. CROEN, Auteur . - 2015 . - p.40-51. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 17 (September 2015) . - p.40-51 Mots-clés : Complementary and alternative medicine  Autism spectrum disorders  Drug interactions Index. décimale : PER Périodiques Résumé : AbstractPurpose The purpose of the present study was to examine the prevalence and predictors of complementary and alternative medicine (CAM) use as well as parental perceptions of CAM efficacy in a large, geographically diverse sample of children with Autism Spectrum Disorders (ASD). Methodology Data were obtained from a web-based survey administered to parents of children with ASD at four sites participating in the Mental Health Research Network (MHRN). The web survey obtained information about services and treatments received by children with ASD as well as the caregivers’ experiences with having a child with ASD. Results Approximately 88% of the sample had either used CAM in the past or had recently used some type of CAM. The following characteristics were associated with CAM use: greater parental education, younger child age, a mix of regular and special classroom settings and prescription drug use in the past three months. Conclusions The use of CAM was very prevalent in this large, geographically diverse sample of children with ASD. It is critical that providers be prepared to discuss the advantages and potential side effects with families to help them make well-informed health care decisions and prevent possible CAM-drug interactions. En ligne : http://dx.doi.org/10.1016/j.rasd.2015.05.002 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=263

Psychotropic Medication Use among Insured Children with Autism Spectrum Disorder / Jeanne M. MADDEN in Journal of Autism and Developmental Disorders, 47-1 (January 2017)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 47-1 (January 2017) . - p.144-154 Titre : Psychotropic Medication Use among Insured Children with Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Jeanne M. MADDEN, Auteur ; Matthew D. LAKOMA, Auteur ; Frances L. LYNCH, Auteur ; Donna RUSINAK, Auteur ; Ashli A. OWEN-SMITH, Auteur ; Karen J. COLEMAN, Auteur ; Virginia P. QUINN, Auteur ; Vincent M. YAU, Auteur ; Yinge X. QIAN, Auteur ; Lisa A. CROEN, Auteur Article en page(s) : p.144-154 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Medications  Antipsychotics  Comorbidities  Epidemiological studies Index. décimale : PER Périodiques Résumé : This study examined psychotropic medication use among 7901 children aged 1–17 with autism spectrum disorder (ASD) in five health systems, comparing to matched cohorts with no ASD. Nearly half (48.5?%) of children with ASD received psychotropics in the year observed; the most common classes were stimulants, alpha-agonists, or atomoxetine (30.2?%), antipsychotics (20.5?%), and antidepressants (17.8?%). Psychotropic treatment was far more prevalent among children with ASD, as compared to children with no ASD (7.7?% overall), even within strata defined by the presence or absence of other psychiatric diagnoses. The widespread use of psychotropics we observed, particularly given weak evidence supporting the effectiveness of these medications for most children with ASD, highlights challenges in ASD treatment and the need for greater investment in its evaluation. En ligne : http://dx.doi.org/10.1007/s10803-016-2946-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=298 [article] Psychotropic Medication Use among Insured Children with Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Jeanne M. MADDEN, Auteur ; Matthew D. LAKOMA, Auteur ; Frances L. LYNCH, Auteur ; Donna RUSINAK, Auteur ; Ashli A. OWEN-SMITH, Auteur ; Karen J. COLEMAN, Auteur ; Virginia P. QUINN, Auteur ; Vincent M. YAU, Auteur ; Yinge X. QIAN, Auteur ; Lisa A. CROEN, Auteur . - p.144-154. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 47-1 (January 2017) . - p.144-154 Mots-clés : Autism spectrum disorder  Medications  Antipsychotics  Comorbidities  Epidemiological studies Index. décimale : PER Périodiques Résumé : This study examined psychotropic medication use among 7901 children aged 1–17 with autism spectrum disorder (ASD) in five health systems, comparing to matched cohorts with no ASD. Nearly half (48.5?%) of children with ASD received psychotropics in the year observed; the most common classes were stimulants, alpha-agonists, or atomoxetine (30.2?%), antipsychotics (20.5?%), and antidepressants (17.8?%). Psychotropic treatment was far more prevalent among children with ASD, as compared to children with no ASD (7.7?% overall), even within strata defined by the presence or absence of other psychiatric diagnoses. The widespread use of psychotropics we observed, particularly given weak evidence supporting the effectiveness of these medications for most children with ASD, highlights challenges in ASD treatment and the need for greater investment in its evaluation. En ligne : http://dx.doi.org/10.1007/s10803-016-2946-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=298

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)  

Public ISBD [article]  inAutism > 28-5 (May 2024) . - p.1316-1321 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 [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)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 45-7 (July 2015) . - p.1989-1996 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 [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

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