Health Services Use and Costs in Individuals with Autism Spectrum Disorder in Germany: Results from a Survey in ASD Outpatient Clinics / J. HOFER in Journal of Autism and Developmental Disorders, 52-2 (February 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-2 (February 2022) . - p.540-552 Titre : Health Services Use and Costs in Individuals with Autism Spectrum Disorder in Germany: Results from a Survey in ASD Outpatient Clinics Type de document : texte imprimé Auteurs : J. HOFER, Auteur ; Falk HOFFMANN, Auteur ; Michael DÖRKS, Auteur ; Inge KAMP-BECKER, Auteur ; Charlotte KÃœPPER, Auteur ; Luise POUSTKA, Auteur ; Stefan ROEPKE, Auteur ; Veit ROESSNER, Auteur ; Sanna STROTH, Auteur ; Nicole WOLFF, Auteur ; Christian J. BACHMANN, Auteur Article en page(s) : p.540-552 Langues : Anglais (eng) Mots-clés : Ambulatory Care Facilities  Autism Spectrum Disorder/epidemiology/therapy  Female  Germany/epidemiology  Health Care Costs  Humans  Male  Mental Health Services  Adolescents  Adults  Children  Costs  Germany  Health services Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASD) are associated with high services use, but European data on costs are scarce. Utilisation and annual costs of 385 individuals with ASD (aged 4-67 years; 18.2% females; 37.4% IQ < 85) from German outpatient clinics were assessed. Average annual costs per person were 3287 EUR, with psychiatric inpatient care (19.8%), pharmacotherapy (11.1%), and occupational therapy (11.1%) being the largest cost components. Females incurred higher costs than males (4864 EUR vs. 2936 EUR). In a regression model, female sex (Cost Ratio: 1.65), lower IQ (1.90), and Asperger syndrome (1.54) were associated with higher costs. In conclusion, ASD-related health costs are comparable to those of schizophrenia, thus underlining its public health relevance. Higher costs in females demand further research. En ligne : http://dx.doi.org/10.1007/s10803-021-04955-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455 [article] Health Services Use and Costs in Individuals with Autism Spectrum Disorder in Germany: Results from a Survey in ASD Outpatient Clinics [texte imprimé] / J. HOFER, Auteur ; Falk HOFFMANN, Auteur ; Michael DÖRKS, Auteur ; Inge KAMP-BECKER, Auteur ; Charlotte KÃœPPER, Auteur ; Luise POUSTKA, Auteur ; Stefan ROEPKE, Auteur ; Veit ROESSNER, Auteur ; Sanna STROTH, Auteur ; Nicole WOLFF, Auteur ; Christian J. BACHMANN, Auteur . - p.540-552. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-2 (February 2022) . - p.540-552 Mots-clés : Ambulatory Care Facilities  Autism Spectrum Disorder/epidemiology/therapy  Female  Germany/epidemiology  Health Care Costs  Humans  Male  Mental Health Services  Adolescents  Adults  Children  Costs  Germany  Health services Index. décimale : PER Périodiques Résumé : Autism spectrum disorders (ASD) are associated with high services use, but European data on costs are scarce. Utilisation and annual costs of 385 individuals with ASD (aged 4-67 years; 18.2% females; 37.4% IQ < 85) from German outpatient clinics were assessed. Average annual costs per person were 3287 EUR, with psychiatric inpatient care (19.8%), pharmacotherapy (11.1%), and occupational therapy (11.1%) being the largest cost components. Females incurred higher costs than males (4864 EUR vs. 2936 EUR). In a regression model, female sex (Cost Ratio: 1.65), lower IQ (1.90), and Asperger syndrome (1.54) were associated with higher costs. In conclusion, ASD-related health costs are comparable to those of schizophrenia, thus underlining its public health relevance. Higher costs in females demand further research. En ligne : http://dx.doi.org/10.1007/s10803-021-04955-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455

How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey / Tolou MASLAHATI in Journal of Autism and Developmental Disorders, 52-3 (March 2022)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 52-3 (March 2022) . - p.1066-1076 Titre : How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey Type de document : texte imprimé Auteurs : Tolou MASLAHATI, Auteur ; Christian J. BACHMANN, Auteur ; J. HOFER, Auteur ; Charlotte KÃœPPER, Auteur ; Sanna STROTH, Auteur ; Nicole WOLFF, Auteur ; Luise POUSTKA, Auteur ; Veit ROESSNER, Auteur ; Inge KAMP-BECKER, Auteur ; Falk HOFFMANN, Auteur ; Stefan ROEPKE, Auteur Article en page(s) : p.1066-1076 Langues : Anglais (eng) Mots-clés : Adult  Autism Spectrum Disorder/epidemiology  Cross-Sectional Studies  Employment  Germany  Humans  Occupations  Surveys and Questionnaires  Autism  Autism Spectrum Disorder  Education  Labor Market Index. décimale : PER Périodiques Résumé : International studies show disadvantages for adults with autism spectrum disorder (ASD) in the labor market. Data about their participation in the German labor market are scarce. The aim of this study was to examine the integration of adults with ASD in the German labor market in terms of education, employment and type of occupation by means of a cross-sectional-study, using a postal questionnaire. Findings show above average levels of education for adults with ASD compared to the general population of Germany and simultaneously, below average rates of employment and high rates of financial dependency. That indicates a poor integration of adults with ASD in the German labor market and emphasizes the need for vocational support policies for adults with ASD. En ligne : http://dx.doi.org/10.1007/s10803-021-05008-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455 [article] How Do Adults with Autism Spectrum Disorder Participate in the Labor Market? A German Multi-center Survey [texte imprimé] / Tolou MASLAHATI, Auteur ; Christian J. BACHMANN, Auteur ; J. HOFER, Auteur ; Charlotte KÃœPPER, Auteur ; Sanna STROTH, Auteur ; Nicole WOLFF, Auteur ; Luise POUSTKA, Auteur ; Veit ROESSNER, Auteur ; Inge KAMP-BECKER, Auteur ; Falk HOFFMANN, Auteur ; Stefan ROEPKE, Auteur . - p.1066-1076. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 52-3 (March 2022) . - p.1066-1076 Mots-clés : Adult  Autism Spectrum Disorder/epidemiology  Cross-Sectional Studies  Employment  Germany  Humans  Occupations  Surveys and Questionnaires  Autism  Autism Spectrum Disorder  Education  Labor Market Index. décimale : PER Périodiques Résumé : International studies show disadvantages for adults with autism spectrum disorder (ASD) in the labor market. Data about their participation in the German labor market are scarce. The aim of this study was to examine the integration of adults with ASD in the German labor market in terms of education, employment and type of occupation by means of a cross-sectional-study, using a postal questionnaire. Findings show above average levels of education for adults with ASD compared to the general population of Germany and simultaneously, below average rates of employment and high rates of financial dependency. That indicates a poor integration of adults with ASD in the German labor market and emphasizes the need for vocational support policies for adults with ASD. En ligne : http://dx.doi.org/10.1007/s10803-021-05008-6 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=455

Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder / Sanna STROTH in Molecular Autism, 13 (2022)  

Public ISBD [article]  inMolecular Autism > 13 (2022) . - 11 p. Titre : Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder Type de document : texte imprimé Auteurs : Sanna STROTH, Auteur ; Johannes TAUSCHER, Auteur ; Nicole WOLFF, Auteur ; Charlotte KÃœPPER, Auteur ; Luise POUSTKA, Auteur ; Stefan ROEPKE, Auteur ; Veit ROESSNER, Auteur ; Dominik HEIDER, Auteur ; Inge KAMP-BECKER, Auteur Article en page(s) : 11 p. Langues : Anglais (eng) Mots-clés : Affect  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Female  Humans  Intellectual Disability/diagnosis  Male  Adi-r  Ados  Asd  Diagnostics  Female autism  Phenotype  Sex Index. décimale : PER Périodiques Résumé : BACKGROUND: Although autism spectrum disorder (ASD) is a common developmental disorder, our knowledge about a behavioral and neurobiological female phenotype is still scarce. As the conceptualization and understanding of ASD are mainly based on the investigation of male individuals, females with ASD may not be adequately identified by routine clinical diagnostics. The present machine learning approach aimed to identify diagnostic information from the Autism Diagnostic Observation Schedule (ADOS) that discriminates best between ASD and non-ASD in females and males. METHODS: Random forests (RF) were used to discover patterns of symptoms in diagnostic data from the ADOS (modules 3 and 4) in 1057 participants with ASD (18.1% female) and 1230 participants with non-ASD (17.9% % female). Predictive performances of reduced feature models were explored and compared between females and males without intellectual disabilities. RESULTS: Reduced feature models relied on considerably fewer features from the ADOS in females compared to males, while still yielding similar classification performance (e.g., sensitivity, specificity). LIMITATIONS: As in previous studies, the current sample of females with ASD is smaller than the male sample and thus, females may still be underrepresented, limiting the statistical power to detect small to moderate effects. CONCLUSION: Our results do not suggest the need for new or altered diagnostic algorithms for females with ASD. Although we identified some phenotypic differences between females and males, the existing diagnostic tools seem to sufficiently capture the core autistic features in both groups. En ligne : http://dx.doi.org/10.1186/s13229-022-00491-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477 [article] Phenotypic differences between female and male individuals with suspicion of autism spectrum disorder [texte imprimé] / Sanna STROTH, Auteur ; Johannes TAUSCHER, Auteur ; Nicole WOLFF, Auteur ; Charlotte KÃœPPER, Auteur ; Luise POUSTKA, Auteur ; Stefan ROEPKE, Auteur ; Veit ROESSNER, Auteur ; Dominik HEIDER, Auteur ; Inge KAMP-BECKER, Auteur . - 11 p. Langues : Anglais (eng) in Molecular Autism > 13 (2022) . - 11 p. Mots-clés : Affect  Autism Spectrum Disorder/diagnosis  Autistic Disorder  Female  Humans  Intellectual Disability/diagnosis  Male  Adi-r  Ados  Asd  Diagnostics  Female autism  Phenotype  Sex Index. décimale : PER Périodiques Résumé : BACKGROUND: Although autism spectrum disorder (ASD) is a common developmental disorder, our knowledge about a behavioral and neurobiological female phenotype is still scarce. As the conceptualization and understanding of ASD are mainly based on the investigation of male individuals, females with ASD may not be adequately identified by routine clinical diagnostics. The present machine learning approach aimed to identify diagnostic information from the Autism Diagnostic Observation Schedule (ADOS) that discriminates best between ASD and non-ASD in females and males. METHODS: Random forests (RF) were used to discover patterns of symptoms in diagnostic data from the ADOS (modules 3 and 4) in 1057 participants with ASD (18.1% female) and 1230 participants with non-ASD (17.9% % female). Predictive performances of reduced feature models were explored and compared between females and males without intellectual disabilities. RESULTS: Reduced feature models relied on considerably fewer features from the ADOS in females compared to males, while still yielding similar classification performance (e.g., sensitivity, specificity). LIMITATIONS: As in previous studies, the current sample of females with ASD is smaller than the male sample and thus, females may still be underrepresented, limiting the statistical power to detect small to moderate effects. CONCLUSION: Our results do not suggest the need for new or altered diagnostic algorithms for females with ASD. Although we identified some phenotypic differences between females and males, the existing diagnostic tools seem to sufficiently capture the core autistic features in both groups. En ligne : http://dx.doi.org/10.1186/s13229-022-00491-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=477

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