Building Capacity: A Systematic Review of Training in the Diagnosis of Autism for Community-Based Clinicians / Mya HOWARD ; Michelle MENEZES ; Christina BURROUGHS ; Jessica PAPPAGIANOPOULOS ; Vibha SASTRI ; Sophie BRUNT ; Ryan MILLER ; Anzhelika PARENCHUK ; Jocelyn KUHN ; Micah O. MAZUREK in Autism Research, 18-4 (April 2025)  

Public ISBD [article]  inAutism Research > 18-4 (April 2025) . - p.690-709 Titre : Building Capacity: A Systematic Review of Training in the Diagnosis of Autism for Community-Based Clinicians Type de document : texte imprimé Auteurs : Mya HOWARD, Auteur ; Michelle MENEZES, Auteur ; Christina BURROUGHS, Auteur ; Jessica PAPPAGIANOPOULOS, Auteur ; Vibha SASTRI, Auteur ; Sophie BRUNT, Auteur ; Ryan MILLER, Auteur ; Anzhelika PARENCHUK, Auteur ; Jocelyn KUHN, Auteur ; Micah O. MAZUREK, Auteur Article en page(s) : p.690-709 Langues : Anglais (eng) Mots-clés : autism diagnosis  capacity-building  clinician training  diagnostic training  systematic review Index. décimale : PER Périodiques Résumé : ABSTRACT In an effort to reduce the ?waitlist crisis,? researchers have developed training programs to educate community-based clinicians in best-practice autism diagnostic assessments. This systematic review aims to synthesize the effectiveness and implementation outcomes of such trainings. The following databases were searched from inception until August 2023: PubMed, Web of Science, APA PsycINFO, CINAHL, ERIC, and a select number from Google Scholar. Ten studies were included in the present review because they met the following criteria: development and/or evaluation of a training for practicing community-based clinicians to diagnose autism, published full-text in English, and original research. Risk of bias was assessed through an adapted NIH quality assessment tool. Only seven distinct training programs in autism diagnosis for practicing community-based clinicians were identified. Trainings demonstrated preliminary efficacy in the improvement of clinician knowledge, self-efficacy, practice behavior, and diagnostic accuracy. Many of the trainings had a reported positive impact on the community and were feasible to participate in; however, systems-level factors (e.g., time and reimbursement) remain as barriers to community-based diagnosis. Findings from the present review position clinician training as a promising strategy to increase families' timely access to an autism diagnosis. More research on training models is needed due to both the limited number of trainings and the limited reported effectiveness and implementation outcomes. Future implementation studies are also needed to reduce systems-level barriers and to aid in the determination of what trainings best fit the needs of different contexts. En ligne : https://doi.org/10.1002/aur.70014 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554 [article] Building Capacity: A Systematic Review of Training in the Diagnosis of Autism for Community-Based Clinicians [texte imprimé] / Mya HOWARD, Auteur ; Michelle MENEZES, Auteur ; Christina BURROUGHS, Auteur ; Jessica PAPPAGIANOPOULOS, Auteur ; Vibha SASTRI, Auteur ; Sophie BRUNT, Auteur ; Ryan MILLER, Auteur ; Anzhelika PARENCHUK, Auteur ; Jocelyn KUHN, Auteur ; Micah O. MAZUREK, Auteur . - p.690-709. Langues : Anglais (eng) in Autism Research > 18-4 (April 2025) . - p.690-709 Mots-clés : autism diagnosis  capacity-building  clinician training  diagnostic training  systematic review Index. décimale : PER Périodiques Résumé : ABSTRACT In an effort to reduce the ?waitlist crisis,? researchers have developed training programs to educate community-based clinicians in best-practice autism diagnostic assessments. This systematic review aims to synthesize the effectiveness and implementation outcomes of such trainings. The following databases were searched from inception until August 2023: PubMed, Web of Science, APA PsycINFO, CINAHL, ERIC, and a select number from Google Scholar. Ten studies were included in the present review because they met the following criteria: development and/or evaluation of a training for practicing community-based clinicians to diagnose autism, published full-text in English, and original research. Risk of bias was assessed through an adapted NIH quality assessment tool. Only seven distinct training programs in autism diagnosis for practicing community-based clinicians were identified. Trainings demonstrated preliminary efficacy in the improvement of clinician knowledge, self-efficacy, practice behavior, and diagnostic accuracy. Many of the trainings had a reported positive impact on the community and were feasible to participate in; however, systems-level factors (e.g., time and reimbursement) remain as barriers to community-based diagnosis. Findings from the present review position clinician training as a promising strategy to increase families' timely access to an autism diagnosis. More research on training models is needed due to both the limited number of trainings and the limited reported effectiveness and implementation outcomes. Future implementation studies are also needed to reduce systems-level barriers and to aid in the determination of what trainings best fit the needs of different contexts. En ligne : https://doi.org/10.1002/aur.70014 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=554

Initial diagnosis patterns of coexisting mental health and neurodevelopmental conditions in autistic children and youth: Evidence from a nationally representative sample in Canada / Yun-Ju CHEN in Journal of Child Psychology and Psychiatry, 67-2 (February 2026)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 67-2 (February 2026) . - p.238-252 Titre : Initial diagnosis patterns of coexisting mental health and neurodevelopmental conditions in autistic children and youth: Evidence from a nationally representative sample in Canada Type de document : texte imprimé Auteurs : Yun-Ju CHEN, Auteur ; Meng-Chuan LAI, Auteur ; Stelios GEORGIADES, Auteur ; Eric DUKU, Auteur ; Jordan EDWARDS, Auteur ; Emma NOLAN, Auteur ; Peter SZATMARI, Auteur ; Ryan MILLER, Auteur ; Katherine COST, Auteur ; Katholiki GEORGIADES, Auteur Article en page(s) : p.238-252 Langues : Anglais (eng) Mots-clés : Autism  age of diagnosis  neurodevelopmental conditions  mental health  sex differences Index. décimale : PER Périodiques Résumé : Background Elevated prevalence of coexisting health conditions has been observed in autistic people, yet how the timing of their initial diagnoses varies by sex and age of autism diagnosis remains understudied. Using a person-centered approach, we examined the patterns of initial diagnosis for mental health and neurodevelopmental conditions among autistic children and youth identified from the general population. Methods The sample was drawn from the 2019 Canadian Health Survey on Children and Youth (CHSCY) cohort (N?=?47,781), consisting of 776 5?17-year-olds (82% assigned-male-at-birth) with a caregiver-reported diagnosis of autism. Multigroup latent class analysis was used to identify subgroups based on ages of initial diagnoses of autism, anxiety, mood, learning, and attention-deficit/hyperactivity disorders stratified by sex assigned at birth. Functional difficulties and multimorbidity status, including the number and types of coexisting conditions, were compared across the subgroups. Results Four latent subgroups were identified for each sex group, primarily differentiated by the age of autism diagnosis. The most prevalent class (46%) was characterized by an initial autism diagnosis at ages 3?5?years. The remaining subgroups, with autism diagnosed primarily before age 3, at 6?8, and at 9?17?years, each comprised ~20% of the sample. Subgroups with autism diagnosed after age 6 tended to have more coexisting conditions, with females showing heightened probabilities of mental health diagnoses across age windows from birth to age 17?years. The temporal order of coexisting diagnoses relative to autism diagnosis varied across subgroups, with sex differences more evident for anxiety and attention-deficit/hyperactivity disorders. Conclusions There were nuanced variations in the timing of initial diagnoses of coexisting conditions based on the age of autism diagnosis. The sex-varying patterns highlight the importance of continuous monitoring and evaluation of the neurodevelopmental and mental health needs of autistic children and youth, with supports tailored to sex and the timing of autism diagnosis. En ligne : https://doi.org/10.1111/jcpp.70039 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=579 [article] Initial diagnosis patterns of coexisting mental health and neurodevelopmental conditions in autistic children and youth: Evidence from a nationally representative sample in Canada [texte imprimé] / Yun-Ju CHEN, Auteur ; Meng-Chuan LAI, Auteur ; Stelios GEORGIADES, Auteur ; Eric DUKU, Auteur ; Jordan EDWARDS, Auteur ; Emma NOLAN, Auteur ; Peter SZATMARI, Auteur ; Ryan MILLER, Auteur ; Katherine COST, Auteur ; Katholiki GEORGIADES, Auteur . - p.238-252. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 67-2 (February 2026) . - p.238-252 Mots-clés : Autism  age of diagnosis  neurodevelopmental conditions  mental health  sex differences Index. décimale : PER Périodiques Résumé : Background Elevated prevalence of coexisting health conditions has been observed in autistic people, yet how the timing of their initial diagnoses varies by sex and age of autism diagnosis remains understudied. Using a person-centered approach, we examined the patterns of initial diagnosis for mental health and neurodevelopmental conditions among autistic children and youth identified from the general population. Methods The sample was drawn from the 2019 Canadian Health Survey on Children and Youth (CHSCY) cohort (N?=?47,781), consisting of 776 5?17-year-olds (82% assigned-male-at-birth) with a caregiver-reported diagnosis of autism. Multigroup latent class analysis was used to identify subgroups based on ages of initial diagnoses of autism, anxiety, mood, learning, and attention-deficit/hyperactivity disorders stratified by sex assigned at birth. Functional difficulties and multimorbidity status, including the number and types of coexisting conditions, were compared across the subgroups. Results Four latent subgroups were identified for each sex group, primarily differentiated by the age of autism diagnosis. The most prevalent class (46%) was characterized by an initial autism diagnosis at ages 3?5?years. The remaining subgroups, with autism diagnosed primarily before age 3, at 6?8, and at 9?17?years, each comprised ~20% of the sample. Subgroups with autism diagnosed after age 6 tended to have more coexisting conditions, with females showing heightened probabilities of mental health diagnoses across age windows from birth to age 17?years. The temporal order of coexisting diagnoses relative to autism diagnosis varied across subgroups, with sex differences more evident for anxiety and attention-deficit/hyperactivity disorders. Conclusions There were nuanced variations in the timing of initial diagnoses of coexisting conditions based on the age of autism diagnosis. The sex-varying patterns highlight the importance of continuous monitoring and evaluation of the neurodevelopmental and mental health needs of autistic children and youth, with supports tailored to sex and the timing of autism diagnosis. En ligne : https://doi.org/10.1111/jcpp.70039 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=579

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