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Auteur Judith S MILLER |
Documents disponibles écrits par cet auteur (2)
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Prevalence of autism spectrum disorder in a large pediatric primary care network / Kate E WALLIS in Autism, 27-6 (August 2023)
[article]
Titre : Prevalence of autism spectrum disorder in a large pediatric primary care network Type de document : Texte imprimé et/ou numérique Auteurs : Kate E WALLIS, Auteur ; Toore ADEBAJO, Auteur ; Amanda E BENNETT, Auteur ; Madison DRYE, Auteur ; Marsha GERDES, Auteur ; Judith S MILLER, Auteur ; Whitney GUTHRIE, Auteur Article en page(s) : p.1840-1846 Langues : Anglais (eng) Mots-clés : autism spectrum disorder;diagnosis;prevalence;screening Index. décimale : PER Périodiques Résumé : In this retrospective cohort study using data from an integrated primary care and subspecialty network, we examined medical records of children seen in primary care at eligible autism spectrum disorder (ASD) screening ages and followed through at least 4?years of age. We examined the prevalence of ASD; age of first documented ASD diagnosis; and whether the prevalence and age of documented diagnosis varied by race, ethnicity, socio-economic status (SES) and site of care (urban versus suburban/rural). The prevalence of ASD across the cohort was 3.2%, with a median age of diagnosis of 3.93?years. ASD prevalence was unexpectedly higher among Asian children, non-Hispanic Black children, children with higher Social Vulnerability Index scores (a neighborhood-level proxy of socio-economic risk), and children who received care in urban primary care sites. There were no statistically significant differences in age at which ASD diagnosis was documented across socio-demographic groups. Receiving primary care at an urban site accounted for most other socio-demographic differences in ASD prevalence rates, except among Asian children, who were found to have higher adjusted odds of ASD diagnosis compared to White children (aOR=1.82, p<.001). Determining what clinical-, individual- or systems-level factors contribute to ASD diagnosis remains important to improve equity.Lay AbstractHistorically, children from non-Hispanic Black and Hispanic backgrounds, those from lower-income families, and girls are less likely to be diagnosed with autism spectrum disorder. Under-identification among these historically and contemporaneously marginalized groups can limit their access to early, autism spectrum disorder-specific interventions, which can have long-term negative impacts. Recent data suggest that some of these trends may be narrowing, or even reversing. Using electronic health record data, we calculated autism spectrum disorder prevalence rates and age of first documented diagnosis across socio-demographic groups. Our cohort included children seen at young ages (when eligible for screening in early childhood) and again at least after 4?years of age in a large primary care network. We found that autism spectrum disorder prevalence was unexpectedly higher among Asian children, non-Hispanic Black children, children with higher Social Vulnerability Index scores (a measure of socio-economic risk at the neighborhood level), and children who received care in urban primary care sites. We did not find differences in the age at which autism spectrum disorder diagnoses were documented in children?s records across these groups. Receiving primary care at an urban site (regardless of location of specialty care) appeared to account for most other socio-demographic differences in autism spectrum disorder prevalence rates, except among Asian children, who remained more likely to be diagnosed with autism spectrum disorder after controlling for other factors. We must continue to better understand the process by which children with autism spectrum disorder from traditionally under-identified and under-served backgrounds come to be recognized, to continue to improve the equity of care. En ligne : http://dx.doi.org/10.1177/13623613221147396 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=509
in Autism > 27-6 (August 2023) . - p.1840-1846[article] Prevalence of autism spectrum disorder in a large pediatric primary care network [Texte imprimé et/ou numérique] / Kate E WALLIS, Auteur ; Toore ADEBAJO, Auteur ; Amanda E BENNETT, Auteur ; Madison DRYE, Auteur ; Marsha GERDES, Auteur ; Judith S MILLER, Auteur ; Whitney GUTHRIE, Auteur . - p.1840-1846.
Langues : Anglais (eng)
in Autism > 27-6 (August 2023) . - p.1840-1846
Mots-clés : autism spectrum disorder;diagnosis;prevalence;screening Index. décimale : PER Périodiques Résumé : In this retrospective cohort study using data from an integrated primary care and subspecialty network, we examined medical records of children seen in primary care at eligible autism spectrum disorder (ASD) screening ages and followed through at least 4?years of age. We examined the prevalence of ASD; age of first documented ASD diagnosis; and whether the prevalence and age of documented diagnosis varied by race, ethnicity, socio-economic status (SES) and site of care (urban versus suburban/rural). The prevalence of ASD across the cohort was 3.2%, with a median age of diagnosis of 3.93?years. ASD prevalence was unexpectedly higher among Asian children, non-Hispanic Black children, children with higher Social Vulnerability Index scores (a neighborhood-level proxy of socio-economic risk), and children who received care in urban primary care sites. There were no statistically significant differences in age at which ASD diagnosis was documented across socio-demographic groups. Receiving primary care at an urban site accounted for most other socio-demographic differences in ASD prevalence rates, except among Asian children, who were found to have higher adjusted odds of ASD diagnosis compared to White children (aOR=1.82, p<.001). Determining what clinical-, individual- or systems-level factors contribute to ASD diagnosis remains important to improve equity.Lay AbstractHistorically, children from non-Hispanic Black and Hispanic backgrounds, those from lower-income families, and girls are less likely to be diagnosed with autism spectrum disorder. Under-identification among these historically and contemporaneously marginalized groups can limit their access to early, autism spectrum disorder-specific interventions, which can have long-term negative impacts. Recent data suggest that some of these trends may be narrowing, or even reversing. Using electronic health record data, we calculated autism spectrum disorder prevalence rates and age of first documented diagnosis across socio-demographic groups. Our cohort included children seen at young ages (when eligible for screening in early childhood) and again at least after 4?years of age in a large primary care network. We found that autism spectrum disorder prevalence was unexpectedly higher among Asian children, non-Hispanic Black children, children with higher Social Vulnerability Index scores (a measure of socio-economic risk at the neighborhood level), and children who received care in urban primary care sites. We did not find differences in the age at which autism spectrum disorder diagnoses were documented in children?s records across these groups. Receiving primary care at an urban site (regardless of location of specialty care) appeared to account for most other socio-demographic differences in autism spectrum disorder prevalence rates, except among Asian children, who remained more likely to be diagnosed with autism spectrum disorder after controlling for other factors. We must continue to better understand the process by which children with autism spectrum disorder from traditionally under-identified and under-served backgrounds come to be recognized, to continue to improve the equity of care. En ligne : http://dx.doi.org/10.1177/13623613221147396 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=509 Using percentiles in the interpretation of Patient-Reported Outcomes Measurement Information System scores: Guidelines for autism / Julia SCHUCHARD in Autism Research, 15-12 (December 2022)
[article]
Titre : Using percentiles in the interpretation of Patient-Reported Outcomes Measurement Information System scores: Guidelines for autism Type de document : Texte imprimé et/ou numérique Auteurs : Julia SCHUCHARD, Auteur ; Elizabeth A. KAPLAN-KAHN, Auteur ; Adam C CARLE, Auteur ; Laura GRAHAM HOLMES, Auteur ; Kiely LAW, Auteur ; Judith S MILLER, Auteur ; Julia PARISH-MORRIS, Auteur ; Christopher B. FORREST, Auteur Article en page(s) : p.2336-2345 Langues : Anglais (eng) Mots-clés : Child Adolescent Humans United States Child, Preschool Autistic Disorder/complications/diagnosis Surveys and Questionnaires Quality of Life Autism Spectrum Disorder Patient Reported Outcome Measures Sleep Wake Disorders/diagnosis/epidemiology Information Systems Promis autism material hardship parent-report patient-reported outcomes Index. décimale : PER Périodiques Résumé : The objectives of this study were to (1) demonstrate the application of percentiles to advance the interpretation of patient-reported outcomes and (2) establish autism-specific percentiles for four Patient-Reported Outcomes Measurement Information System (PROMIS) measures. PROMIS measures were completed by parents of autistic children and adolescents ages 5-17 years as part of two studies (n = 939 parents in the first study and n = 406 parents in the second study). Data from the first study were used to develop autism-specific percentiles for PROMIS parent-proxy sleep disturbance, sleep-related impairment, fatigue, and anxiety. Previously established United States general population percentiles were applied to interpret PROMIS scores in both studies. Results of logistic regression models showed that parent-reported material hardship was associated with scoring in the moderate-severe range (defined as â¥75th percentile in the general population) on all four PROMIS measures (odds ratios 1.7-2.2). In the second study, the percentage of children with severe scores (defined as â¥95th percentile in the general population) was 30% for anxiety, 25% for sleep disturbance, and 17% for sleep-related impairment, indicating a high burden of these problems among autistic children. Few children had scores at or above the autism-specific 95th percentile on these measures (3%-4%), indicating that their scores were similar to other autistic children. The general population and condition-specific percentiles provide two complementary reference points to aid interpretation of PROMIS scores, including corresponding severity categories that are comparable across different PROMIS measures. En ligne : http://dx.doi.org/10.1002/aur.2833 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488
in Autism Research > 15-12 (December 2022) . - p.2336-2345[article] Using percentiles in the interpretation of Patient-Reported Outcomes Measurement Information System scores: Guidelines for autism [Texte imprimé et/ou numérique] / Julia SCHUCHARD, Auteur ; Elizabeth A. KAPLAN-KAHN, Auteur ; Adam C CARLE, Auteur ; Laura GRAHAM HOLMES, Auteur ; Kiely LAW, Auteur ; Judith S MILLER, Auteur ; Julia PARISH-MORRIS, Auteur ; Christopher B. FORREST, Auteur . - p.2336-2345.
Langues : Anglais (eng)
in Autism Research > 15-12 (December 2022) . - p.2336-2345
Mots-clés : Child Adolescent Humans United States Child, Preschool Autistic Disorder/complications/diagnosis Surveys and Questionnaires Quality of Life Autism Spectrum Disorder Patient Reported Outcome Measures Sleep Wake Disorders/diagnosis/epidemiology Information Systems Promis autism material hardship parent-report patient-reported outcomes Index. décimale : PER Périodiques Résumé : The objectives of this study were to (1) demonstrate the application of percentiles to advance the interpretation of patient-reported outcomes and (2) establish autism-specific percentiles for four Patient-Reported Outcomes Measurement Information System (PROMIS) measures. PROMIS measures were completed by parents of autistic children and adolescents ages 5-17 years as part of two studies (n = 939 parents in the first study and n = 406 parents in the second study). Data from the first study were used to develop autism-specific percentiles for PROMIS parent-proxy sleep disturbance, sleep-related impairment, fatigue, and anxiety. Previously established United States general population percentiles were applied to interpret PROMIS scores in both studies. Results of logistic regression models showed that parent-reported material hardship was associated with scoring in the moderate-severe range (defined as â¥75th percentile in the general population) on all four PROMIS measures (odds ratios 1.7-2.2). In the second study, the percentage of children with severe scores (defined as â¥95th percentile in the general population) was 30% for anxiety, 25% for sleep disturbance, and 17% for sleep-related impairment, indicating a high burden of these problems among autistic children. Few children had scores at or above the autism-specific 95th percentile on these measures (3%-4%), indicating that their scores were similar to other autistic children. The general population and condition-specific percentiles provide two complementary reference points to aid interpretation of PROMIS scores, including corresponding severity categories that are comparable across different PROMIS measures. En ligne : http://dx.doi.org/10.1002/aur.2833 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=488