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Détail de l'auteur
Auteur Phillip M. CRAWFORD |
Documents disponibles écrits par cet auteur (3)
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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)
[article]
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
in Journal of Autism and Developmental Disorders > 46-3 (March 2016) . - p.910-920[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 Medical Conditions in the First Years of Life Associated with Future Diagnosis of ASD in Children / Stacey E. ALEXEEFF in Journal of Autism and Developmental Disorders, 47-7 (July 2017)
[article]
Titre : Medical Conditions in the First Years of Life Associated with Future Diagnosis of ASD in Children Type de document : Texte imprimé et/ou numérique Auteurs : Stacey E. ALEXEEFF, Auteur ; Vincent YAU, Auteur ; Yinge QIAN, Auteur ; Meghan N. DAVIGNON, Auteur ; Frances LYNCH, Auteur ; Phillip M. CRAWFORD, Auteur ; Robert DAVIS, Auteur ; Lisa A. CROEN, Auteur Article en page(s) : p.2067-2079 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Comorbidity Medical conditions Index. décimale : PER Périodiques Résumé : This study examines medical conditions diagnosed prior to the diagnosis of autism spectrum disorder (ASD). Using a matched case control design with 3911 ASD cases and 38,609 controls, we found that 38 out of 79 medical conditions were associated with increased ASD risk. Developmental delay, mental health, and neurology conditions had the strongest associations (ORs 2.0–23.3). Moderately strong associations were observed for nutrition, genetic, ear nose and throat, and sleep conditions (ORs 2.1–3.2). Using machine learning methods, we clustered children based on their medical conditions prior to ASD diagnosis and demonstrated ASD risk stratification. Our findings provide new evidence indicating that children with ASD have a disproportionate burden of certain medical conditions preceding ASD diagnosis. En ligne : https://doi.org/10.1007/s10803-017-3130-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=313
in Journal of Autism and Developmental Disorders > 47-7 (July 2017) . - p.2067-2079[article] Medical Conditions in the First Years of Life Associated with Future Diagnosis of ASD in Children [Texte imprimé et/ou numérique] / Stacey E. ALEXEEFF, Auteur ; Vincent YAU, Auteur ; Yinge QIAN, Auteur ; Meghan N. DAVIGNON, Auteur ; Frances LYNCH, Auteur ; Phillip M. CRAWFORD, Auteur ; Robert DAVIS, Auteur ; Lisa A. CROEN, Auteur . - p.2067-2079.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 47-7 (July 2017) . - p.2067-2079
Mots-clés : Autism spectrum disorder Comorbidity Medical conditions Index. décimale : PER Périodiques Résumé : This study examines medical conditions diagnosed prior to the diagnosis of autism spectrum disorder (ASD). Using a matched case control design with 3911 ASD cases and 38,609 controls, we found that 38 out of 79 medical conditions were associated with increased ASD risk. Developmental delay, mental health, and neurology conditions had the strongest associations (ORs 2.0–23.3). Moderately strong associations were observed for nutrition, genetic, ear nose and throat, and sleep conditions (ORs 2.1–3.2). Using machine learning methods, we clustered children based on their medical conditions prior to ASD diagnosis and demonstrated ASD risk stratification. Our findings provide new evidence indicating that children with ASD have a disproportionate burden of certain medical conditions preceding ASD diagnosis. En ligne : https://doi.org/10.1007/s10803-017-3130-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=313 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