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McNally Keehn R, Minshawi NF, Tang Q, Enneking B, Ryan T, Martin AM, Paxton A, Monahan PO, Ciccarelli M, Keehn B. Accuracy of the Screening Tool for Autism in Toddlers and Young Children in the primary care setting. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2024:13623613241292850. [PMID: 39503291 DOI: 10.1177/13623613241292850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2024]
Abstract
LAY SUMMARY Specialists conduct autism evaluations using tools that are expensive and difficult to get trained on. Families often wait a long time and travel far to get a diagnosis for their child. To help with this problem, primary care practitioners can be trained to provide evaluations in local communities. However, usable and accurate tools developed for non-specialists are needed. The Screening Tool for Autism in Toddlers and Young Children (STAT) was created for this purpose, but limited research has been done on accuracy of the tool in community primary care. This study tested the STAT when used by primary care practitioners as part of a diagnostic evaluation in 130, 14- to 48-month-old children. We tested (1) STAT agreement with the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2), and diagnosis based on an expert research evaluation, and (2) the relationship between STAT classification, primary care practitioner diagnosis, and expert diagnosis. STAT classification matched the ADOS-2 in 77% of cases and expert diagnosis in 78% of cases. Autistic children incorrectly classified by the STAT were older, had higher developmental and adaptive skills, and fewer autism symptoms. In 86% of cases, the STAT classification agreed with primary care practitioner diagnosis. STAT classification, primary care practitioner diagnosis, and expert diagnosis agreed in 73% of cases. Overall, the STAT shows good accuracy when used by primary care practitioners as part of a community primary care autism evaluation.
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Affiliation(s)
| | | | - Qing Tang
- School of Medicine, Indiana University, USA
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Smith JV, Menezes M, Brunt S, Pappagianopoulos J, Sadikova E, O Mazurek M. Understanding autism diagnosis in primary care: Rates of diagnosis from 2004 to 2019 and child age at diagnosis. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2024; 28:2637-2646. [PMID: 38456360 DOI: 10.1177/13623613241236112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2024]
Abstract
LAY ABSTRACT The current demand for autism diagnostic services exceeds the ability of the workforce to assess and diagnose children in a timely manner. One solution may be to equip primary care providers (PCPs) with the tools and expertise needed to diagnose autism within their practice. PCPs are often trusted professionals who have many touchpoints with children during early development, in which they can identify early signs of autism. Recent initiatives have focused on bolstering PCPs' diagnostic capabilities; however, no studies have examined how the rates of autism diagnosis in primary care have changed over time. We aimed to evaluate whether autism diagnosis in primary care has changed over time and how diagnosis in primary care relates to a child's age at the time of diagnosis. We found that the likelihood of a child being diagnosed by a PCP decreased by about 2% with every passing year from 2004 to 2019 when accounting for demographic characteristics. In our sample, PCPs diagnosed children approximately 1 year earlier than non-PCPs (e.g., psychologists and psychiatrists). Further research is needed to understand why the proportion of children diagnosed by PCPs decreases over time. However, this decrease suggests more work is needed to get capacity-building initiatives into community primary care practice. Though we must continue to find effective ways to build community PCPs' ability to diagnose autism, the present findings support the crucial role PCPs can play in early autism diagnosis.
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Affiliation(s)
- Jessica V Smith
- Department of Human Services, School of Education and Human Development, University of Virginia, USA
| | - Michelle Menezes
- Department of Human Services, School of Education and Human Development, University of Virginia, USA
| | - Sophie Brunt
- Department of Human Services, School of Education and Human Development, University of Virginia, USA
| | - Jessica Pappagianopoulos
- Department of Human Services, School of Education and Human Development, University of Virginia, USA
| | - Eleonora Sadikova
- Department of Human Services, School of Education and Human Development, University of Virginia, USA
| | - Micah O Mazurek
- Department of Human Services, School of Education and Human Development, University of Virginia, USA
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McNally Keehn R, Paxton A, Delaney M, Ciccarelli M. Training and Sustaining: Training and Learning Collaborative Outcomes Across a Statewide Network for Early Autism Diagnosis. J Dev Behav Pediatr 2024:00004703-990000000-00206. [PMID: 39190424 DOI: 10.1097/dbp.0000000000001313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 07/08/2024] [Indexed: 08/28/2024]
Abstract
OBJECTIVE The objective of this study was to describe the development of a primary care professional (PCP) autism diagnosis training model and to report on outcomes related to PCP training and sustained engagement in a longitudinal learning collaborative. METHODS We developed Accelerating the Diagnosis of Autism with Primary care Training (ADAPT), a training program to prepare PCPs to develop independent competency in evaluation of autism in children aged 14 to 48 months. ADAPT includes didactic and case-based modules and practice-based coaching delivered by an expert diagnostic specialist; after training, PCPs participate in a longitudinal learning collaborative. Aligned with competency-based medical education standards, measures of autism evaluation knowledge and diagnostic competency are collected. RESULTS From 2021 to 2023, 13 PCPs completed ADAPT didactic and practicum training to reach competency in independent autism evaluation. Clinicians demonstrated significant improvement in total autism knowledge after didactic training (p = 0.02). Scoring agreement on an autism observational assessment tool between clinicians and expert diagnosticians improved over case observations and practicum evaluations. Similarly, PCPs demonstrated improved evaluation competence, moving on average from Advanced Beginner to Competent Performer as rated by expert diagnosticians. After training, PCPs attended 57% of monthly learning collaborative sessions. CONCLUSION Training PCPs to deliver autism evaluations for young children as part of tiered community-based models of care is a promising solution to address access and waitlist challenges. ADAPT is an intensive, standardized PCP training model that results in achievement of independent competency and sustained engagement in autism evaluation. Effectiveness-implementation studies are needed to ensure scalability and sustainability of training models.
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Mazurek MO, Nevill RE, Orlando K, Page K, Howard M, Davis BE. Integration of Family Navigation into ECHO Autism for Pediatric Primary Care in Underserved Communities. J Autism Dev Disord 2024:10.1007/s10803-024-06445-9. [PMID: 38954361 DOI: 10.1007/s10803-024-06445-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/18/2024] [Indexed: 07/04/2024]
Abstract
Children with autism from underserved communities face complex system-, provider-, and family-level barriers to accessing timely diagnosis and early intervention. The current study evaluated the preliminary effects and feasibility of a new program (ECHO Autism LINKS) that integrated pediatric primary care provider (PCP) training with family navigation (FN) to bridge the gaps between screening, referral, and service access. Three cohorts of PCPs (n = 42) participated in the program, which consisted of 60-minute sessions delivered by Zoom twice per month for 12 months. Each session included didactics, case-based learning, and collaborative discussion with participants and an interdisciplinary team of experts. Family navigators were members of the expert team and provided FN services to families referred by PCP participants. Program attendance and engagement were strong, with 40 cases presented and 258 families referred for FN services, most of whom (83%) needed help accessing and connecting with services, and 13% required ongoing support due to complex needs. PCPs demonstrated significant improvements in self-efficacy in providing best-practice care for children with autism, reported high satisfaction, and observed improved knowledge and practice as a result of the program. The results of this initial pilot provide support for the feasibility, acceptability, and preliminary efficacy of the ECHO Autism LINKS program. The model holds promise in addressing complex barriers to healthcare access by providing both PCPs and families with the knowledge and support they need. Future research is needed to evaluate the efficacy and effectiveness of the program in improving child and family outcomes.
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Affiliation(s)
- Micah O Mazurek
- Department of Human Services, School of Education and Human Development, University of Virginia, 417 Emmet Street South, PO Box 400267, Charlottesville, VA, 22904, USA.
| | - Rose E Nevill
- Department of Human Services, School of Education and Human Development, University of Virginia, 417 Emmet Street South, PO Box 400267, Charlottesville, VA, 22904, USA
| | - Karen Orlando
- Department of Human Services, School of Education and Human Development, University of Virginia, 417 Emmet Street South, PO Box 400267, Charlottesville, VA, 22904, USA
| | - Keith Page
- Department of Human Services, School of Education and Human Development, University of Virginia, 417 Emmet Street South, PO Box 400267, Charlottesville, VA, 22904, USA
| | - Mya Howard
- Department of Human Services, School of Education and Human Development, University of Virginia, 417 Emmet Street South, PO Box 400267, Charlottesville, VA, 22904, USA
| | - Beth Ellen Davis
- Division of Neurodevelopmental and Behavioral Pediatrics, Department of Pediatrics, University of Virginia, Charlottesville, VA, USA
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Keehn B, Monahan P, Enneking B, Ryan T, Swigonski N, McNally Keehn R. Eye-Tracking Biomarkers and Autism Diagnosis in Primary Care. JAMA Netw Open 2024; 7:e2411190. [PMID: 38743420 PMCID: PMC11094561 DOI: 10.1001/jamanetworkopen.2024.11190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 03/12/2024] [Indexed: 05/16/2024] Open
Abstract
Importance Finding effective and scalable solutions to address diagnostic delays and disparities in autism is a public health imperative. Approaches that integrate eye-tracking biomarkers into tiered community-based models of autism evaluation hold promise for addressing this problem. Objective To determine whether a battery of eye-tracking biomarkers can reliably differentiate young children with and without autism in a community-referred sample collected during clinical evaluation in the primary care setting and to evaluate whether combining eye-tracking biomarkers with primary care practitioner (PCP) diagnosis and diagnostic certainty is associated with diagnostic outcome. Design, Setting, and Participants Early Autism Evaluation (EAE) Hub system PCPs referred a consecutive sample of children to this prospective diagnostic study for blinded eye-tracking index test and follow-up expert evaluation from June 7, 2019, to September 23, 2022. Participants included 146 children (aged 14-48 months) consecutively referred by 7 EAE Hubs. Of 154 children enrolled, 146 provided usable data for at least 1 eye-tracking measure. Main Outcomes and Measures The primary outcomes were sensitivity and specificity of a composite eye-tracking (ie, index) test, which was a consolidated measure based on significant eye-tracking indices, compared with reference standard expert clinical autism diagnosis. Secondary outcome measures were sensitivity and specificity of an integrated approach using an index test and PCP diagnosis and certainty. Results Among 146 children (mean [SD] age, 2.6 [0.6] years; 104 [71%] male; 21 [14%] Hispanic or Latine and 96 [66%] non-Latine White; 102 [70%] with a reference standard autism diagnosis), 113 (77%) had concordant autism outcomes between the index (composite biomarker) and reference outcomes, with 77.5% sensitivity (95% CI, 68.4%-84.5%) and 77.3% specificity (95% CI, 63.0%-87.2%). When index diagnosis was based on the combination of a composite biomarker, PCP diagnosis, and diagnostic certainty, outcomes were concordant with reference standard for 114 of 127 cases (90%) with a sensitivity of 90.7% (95% CI, 83.3%-95.0%) and a specificity of 86.7% (95% CI, 70.3%-94.7%). Conclusions and Relevance In this prospective diagnostic study, a composite eye-tracking biomarker was associated with a best-estimate clinical diagnosis of autism, and an integrated diagnostic model including PCP diagnosis and diagnostic certainty demonstrated improved sensitivity and specificity. These findings suggest that equipping PCPs with a multimethod diagnostic approach has the potential to substantially improve access to timely, accurate diagnosis in local communities.
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Affiliation(s)
- Brandon Keehn
- Department of Speech, Language, and Hearing Sciences, Purdue University, West Lafayette, Indiana
- Department of Psychological Sciences, Purdue University, West Lafayette, Indiana
| | - Patrick Monahan
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis
| | - Brett Enneking
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis
| | - Tybytha Ryan
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis
| | - Nancy Swigonski
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis
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Curran C, Roberts R, Gannoni A, Jeyaseelan D. Training and Educational Pathways for Clinicians (Post-graduation) for the Assessment and Diagnosis of Autism Spectrum Disorders: A Scoping Review. J Autism Dev Disord 2024:10.1007/s10803-023-06202-4. [PMID: 38177895 DOI: 10.1007/s10803-023-06202-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/22/2023] [Indexed: 01/06/2024]
Abstract
This review aimed to identify the post-graduation training pathways available for both clinicians and trainers in the assessment and diagnosis of Autism Spectrum Disorder (ASD). The study was guided by two research questions: What is known about ASD-specific educational, training, or other pathways available to support clinicians of any discipline, post-graduation, to meet the required expertise relevant to assessments of ASD concerns? What is known about the educational pathways available to clinicians seeking to provide training to other clinicians, post-graduation, in the assessment of ASD concerns? A scoping review was undertaken with searches completed across five databases (PubMed, PsycINFO, PsycEXTRA, ERIC and CINAHL). A Google search strategy was also executed using the "advanced" search function. Eligible records were literature, written in English, that examined post-graduation training and/ or education of clinicians to assess and/ or diagnose ASD. Fourteen relevant records were identified. Post-graduate training has the potential to enhance clinician confidence and service provision in ASD assessment and diagnosis. System-wide training approaches show promise in building large-scale, diagnostic capacity and the use of tele-mentoring offers a cost-effective, convenient mode of training delivery. A lack of evidence to support ASD diagnostic training pathways was found and may pose a challenge for clinicians and service users. The limited evidence found suggests that high quality research will be fundamental in determining how to build clinician capacity in ASD assessment and diagnosis and to ascertain whether training pathways are a necessary component.
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Affiliation(s)
- Christine Curran
- School of Psychology, University of Adelaide, Adelaide, SA, Australia
| | - Rachel Roberts
- School of Psychology, University of Adelaide, Adelaide, SA, Australia.
| | - Anne Gannoni
- Child and Adolescent Mental Health Service, Women's and Children's Health Network, North Adelaide, SA, Australia
| | - Deepa Jeyaseelan
- Child Development Unit, Women's and Children's Health Network, North Adelaide, SA, Australia
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Nasir AK, Strong-Bak W, Bernard M. Diagnostic Evaluation of Autism Spectrum Disorder in Pediatric Primary Care. J Prim Care Community Health 2024; 15:21501319241247997. [PMID: 38650542 PMCID: PMC11036916 DOI: 10.1177/21501319241247997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 03/26/2024] [Accepted: 03/29/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Children with autism spectrum disorder (ASD) continue to experience significant delays in diagnosis and interventions. One of the main factors contributing to this delay is a shortage of developmental-behavioral specialists. Diagnostic evaluation of ASD by primary care pediatricians (PCPs) has been shown to be reliable and to decrease the interval from first concern to diagnosis. In this paper, we present the results of a primary care ASD diagnosis program in which the PCP serves as the primary diagnostician and leverages the infrastructure of the primary care medical home to support the child and family during the pre- and post-diagnostic periods, along with data on parental satisfaction with this model. METHODS Retrospective data from a cohort of patients evaluated through this program were analyzed to determine the mean age at diagnosis and interval from referral for evaluation to diagnosis. We used survey methodology to obtain data from parents regarding their satisfaction with the process. RESULTS Data from 8 of 20 children evaluated from April 2021 through May 2022 showed a median age of diagnosis of 34.5 months compared to the national average of 49 months. Mean interval from referral for evaluation to diagnosis was 3.5 months. Parental survey responses indicated high satisfaction. CONCLUSIONS This model was successful in shortening the interval from referral to diagnosis resulting in significant decrease of age at diagnosis compared with the national average. Widespread implementation could improve access to timely diagnostic services and improve outcomes for children with ASD.
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Affiliation(s)
- Arwa K. Nasir
- University of Nebraska Medical Center, Omaha, NE, USA
| | | | - Marie Bernard
- University of Nebraska Medical Center, Omaha, NE, USA
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Penner M, Lai MC. Enhancing access to autism diagnostic services for children in the community. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2023; 27:2201-2204. [PMID: 37736667 DOI: 10.1177/13623613231201212] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/23/2023]
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9
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Hyman SL, Kroening ALH. Diagnosing Autism Spectrum Disorders in Primary Care: When You Know, You Know. Pediatrics 2023; 152:e2023062279. [PMID: 37461878 DOI: 10.1542/peds.2023-062279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/25/2023] [Indexed: 08/02/2023] Open
Affiliation(s)
- Susan L Hyman
- Golisano Children's Hospital, University of Rochester
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10
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Keehn RM, Swigonski N, Enneking B, Ryan T, Monahan P, Martin AM, Hamrick L, Kadlaskar G, Paxton A, Ciccarelli M, Keehn B. Diagnostic Accuracy of Primary Care Clinicians Across a Statewide System of Autism Evaluation. Pediatrics 2023; 152:e2023061188. [PMID: 37461867 PMCID: PMC10686684 DOI: 10.1542/peds.2023-061188] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/25/2023] [Indexed: 08/02/2023] Open
Abstract
OBJECTIVES To evaluate the diagnostic accuracy of the Early Autism Evaluation (EAE) Hub system, a statewide network that provides specialized training and collaborative support to community primary care providers in the diagnosis of young children at risk for autism spectrum disorder (ASD). METHODS EAE Hub clinicians referred children, aged 14 to 48 months, to this prospective diagnostic study for blinded follow-up expert evaluation including assessment of developmental level, adaptive behavior, and ASD symptom severity. The primary outcome was agreement on categorical ASD diagnosis between EAE Hub clinician (index diagnosis) and ASD expert (reference standard). RESULTS Among 126 children (mean age: 2.6 years; 77% male; 14% Latinx; 66% non-Latinx white), 82% (n = 103) had consistent ASD outcomes between the index and reference evaluation. Sensitivity was 81.5%, specificity was 82.4%, positive predictive value was 92.6%, and negative predictive value was 62.2%. There was no difference in accuracy by EAE Hub clinician or site. Across measures of development, there were significant differences between true positive and false negative (FN) cases (all Ps < .001; Cohen's d = 1.1-1.4), with true positive cases evidencing greater impairment. CONCLUSIONS Community-based primary care clinicians who receive specialty training can make accurate ASD diagnoses in most cases. Diagnostic disagreements were predominately FN cases in which EAE Hub clinicians had difficulty differentiating ASD and global developmental delay. FN cases were associated with a differential diagnostic and phenotypic profile. This research has significant implications for the development of future population health solutions that address ASD diagnostic delays.
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Affiliation(s)
| | - Nancy Swigonski
- Department of Pediatrics, Indiana University School of Medicine
| | - Brett Enneking
- Department of Pediatrics, Indiana University School of Medicine
| | - Tybytha Ryan
- Department of Pediatrics, Indiana University School of Medicine
| | - Patrick Monahan
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine
| | | | - Lisa Hamrick
- Department of Psychological Sciences, Purdue University
| | - Girija Kadlaskar
- Department of Speech, Language & Hearing Sciences, Purdue University
- MIND Institute, University of California Davis
| | - Angela Paxton
- Department of Pediatrics, Indiana University School of Medicine
| | - Mary Ciccarelli
- Department of Pediatrics, Indiana University School of Medicine
| | - Brandon Keehn
- Department of Speech, Language & Hearing Sciences, Purdue University
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Penner M, Senman L, Andoni L, Dupuis A, Anagnostou E, Kao S, Solish A, Shouldice M, Ferguson G, Brian J. Concordance of Diagnosis of Autism Spectrum Disorder Made by Pediatricians vs a Multidisciplinary Specialist Team. JAMA Netw Open 2023; 6:e2252879. [PMID: 36696109 DOI: 10.1001/jamanetworkopen.2022.52879] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
IMPORTANCE Wait times for autism spectrum disorder (ASD) diagnosis are lengthy because of inadequate supply of specialist teams. General pediatricians may be able to diagnose some cases of ASD, thereby reducing wait times. OBJECTIVE To determine the accuracy of ASD diagnostic assessments conducted by general pediatricians compared with a multidisciplinary team (MDT). DESIGN, SETTING, AND PARTICIPANTS This prospective diagnostic study was conducted in and a specialist assessment center in Toronto, Ontario, Canada, and Ontario general pediatrician practices from June 2016 to March 2020. Children were younger than 5.5 years, referred with a developmental concern, and without an existing ASD diagnosis. Data analysis was performed from October 2021 to February 2022. EXPOSURES The pediatrician and MDT each conducted blinded assessments and recorded a decision as to whether the child had ASD. MAIN OUTCOMES AND MEASURES Main outcomes included sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). A logistic regression was performed to identify factors associated with accurate pediatrician assessment for children with or without an ASD diagnosis. RESULTS Seventeen pediatricians (12 women [71%]) participated in the study and referred 106 children (79 boys [75%]; mean [SD] age, 41.9 [13.3] months). Sixty participants (57%) were from minoritized racial and ethnic groups (eg, Black, Asian, Hispanic, Middle Eastern, and multiracial). Seventy-two participants (68%) received a diagnosis of ASD by the MDT. Sensitivity and specificity of the pediatrician assessments compared with MDT were 0.75 (95% CI, 0.67-0.83) and 0.79 (95% CI, 0.62-0.91), respectively. The PPV of the pediatrician assessments was 0.89 (95% CI, 0.80-0.94) (ie, 89% agreement with the MDT), and NPV was 0.60 (95% CI, 0.49-0.70) (ie, 60% agreement with the MDT). Higher pediatrician certainty (odds ratio [OR], 3.33; 95% CI, 1.71-7.34; P = .001) was associated with increased diagnostic accuracy for children with ASD. Lower accuracy was seen for children with higher Visual Reception subscale developmental skills (OR, 0.93; 95% CI, 0.89-0.97; P = .001), speaking abilities (OR, 0.17; 95% CI, 0.03-0.67; P = .03), and White race (OR, 0.32; 95% CI, 0.10-0.97; P = .04). Age, gender, and Autism Diagnostic Observation Schedule, 2nd Edition composite scores were not significantly associated with the accuracy of assessments. All 7 children with a sibling with ASD received an accurate diagnosis; otherwise, no significant factors were identified for accuracy in children without ASD. CONCLUSIONS AND RELEVANCE This study of concordance of autism assessment between pediatricians and an expert MDT in young children found high accuracy when general pediatricians felt confident and lower accuracy when ruling out ASD. These findings suggest that children with co-occurring delays may be potential candidates for community assessment.
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Affiliation(s)
- Melanie Penner
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Lili Senman
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Lana Andoni
- Department of Psychology, University of Massachusetts, Boston
| | - Annie Dupuis
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Evdokia Anagnostou
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
| | - Shawn Kao
- Pediatricians Alliance of Ontario, Toronto, Ontario, Canada
| | - Abbie Solish
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Michelle Shouldice
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
- Paediatric Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Genevieve Ferguson
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
| | - Jessica Brian
- Autism Research Centre, Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, Ontario, Canada
- Department of Paediatrics, University of Toronto, Toronto, Ontario, Canada
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12
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Clarke L, Fung LK. The impact of autism-related training programs on physician knowledge, self-efficacy, and practice behavior: A systematic review. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2022; 26:1626-1640. [PMID: 35698749 DOI: 10.1177/13623613221102016] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
LAY ABSTRACT Autism spectrum disorder is estimated to impact 1.5 million children and almost 5.5 million adults. However, most physicians do not receive training on how to provide care to this increasingly large group of people. After performing a systematic review of the literature and screening over 4,500 unique articles focused on the effectiveness of autism-specific training programs designed for physicians and physician trainees, we determined that 17 studies met the pre-determined criteria for inclusion in this systematic review. The results reported by these studies suggest that by completing specialized training programs related to autism, physicians were more knowledgeable on topics related to the condition, more confident in their ability to provide care to autistic individuals, and more likely to screen their patients for autism spectrum disorder. However, further studies with higher quality data are needed to validate these findings and provide additional insight on the ability of these programs to improve physician behavior and patient outcomes. We are therefore advocating that medical educators develop and evaluate specialized autism training programs with an increased focus on improving physician behavior related to all aspects of providing care to autistic people.
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13
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Guan X, Zwaigenbaum L, Sonnenberg LK. Building Capacity for Community Pediatric Autism Diagnosis: A Systemic Review of Physician Training Programs. J Dev Behav Pediatr 2022; 43:44-54. [PMID: 34907998 PMCID: PMC8687619 DOI: 10.1097/dbp.0000000000001042] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 10/12/2021] [Indexed: 12/27/2022]
Abstract
OBJECTIVES Training primary care providers to provide diagnostic assessments for autism spectrum disorder (ASD) decreases wait times and improves diagnostic access. Outcomes related to the quality of these assessments and the impacts on system capacity have not been systematically examined. This systematic review identifies and summarizes published studies that included ASD diagnostic training for primary care providers (PCPs) and aims to guide future training and evaluation methods. METHODS Systematic searches of electronic databases, reference lists, and journals identified 6 studies that met 3 inclusion criteria: training for PCPs, community setting, and training outcome(s) reported. These studies were critically reviewed to characterize (1) study design, (2) training model, and (3) outcomes. RESULTS All studies were either pre-post design or nonrandomized trials with a relatively small number of participants. There was considerable heterogeneity among studies regarding the training provided and the program evaluation process. The most evaluated outcomes were access to autism diagnosis and accuracy of diagnosis. CONCLUSION Training PCPs to make ASD diagnoses can yield high diagnostic agreement with specialty teams' assessments and reduce diagnostic wait times. Current data are limited by small sample size, poor to fair quality study methodology, and heterogenous study designs and outcome evaluations. Evidence is insufficient to draw conclusions about the overall effects of training PCPs for ASD diagnostic assessments. Since further research is still needed, this review highlights which outcomes are relevant to consider when evaluating the quality of ASD assessments across the continuum of approaches.
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Affiliation(s)
- Xiaoning Guan
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada;
| | | | - Lyn K. Sonnenberg
- Department of Pediatrics, University of Alberta, Edmonton, AB, Canada;
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14
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Keehn RM, Tomlin A, Ciccarelli MR. COVID-19 Pandemic Highlights Access Barriers for Children with Autism Spectrum Disorder. J Dev Behav Pediatr 2021; 42:599-601. [PMID: 34191764 PMCID: PMC10712267 DOI: 10.1097/dbp.0000000000000988] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Accepted: 05/21/2021] [Indexed: 11/27/2022]
Affiliation(s)
| | - Angela Tomlin
- Department of Pediatrics, Indiana University School of Medicine
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Hine JF, Wagner L, Goode R, Rodrigues V, Taylor JL, Weitlauf A, Warren ZE. Enhancing developmental-behavioral pediatric rotations by teaching residents how to evaluate autism in primary care. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2021; 25:1492-1496. [PMID: 33401941 DOI: 10.1177/1362361320984313] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
LAY ABSTRACT Most physician preparation programs do not provide enough practical experiences in autism-related care. This is especially true for how to assess for and diagnose autism. Without this training, many pediatricians are not well prepared to implement appropriate care for children with autism and their families. We designed a curriculum to improve training for medical residents that involved explicit hands-on training in diagnostic identification and care coordination for toddlers at risk for autism. We collected data to assess whether our enhanced curriculum led to increased comfort level across recommended practice behaviors. Almost all the residents were able to complete the training within their rotation and our surveys indicated significant increases in residents feeling more comfortable identifying symptoms of autism, providing feedback about diagnostic decisions, and effectively connecting families with services. A significant majority of residents considered it appropriate or very appropriate for children to receive a diagnosis solely from a primary care provider. Our results suggest feasibility of the enhanced model, and this project reflects the first step in advancing incorporation of autism training into pediatric residency programs.
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16
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Ceglio K, Rispoli MJ, Flake EM. Training Medical Professionals to Work with Patients with Neurodevelopmental Disorders: A Systematic Review. Dev Neurorehabil 2020; 23:463-473. [PMID: 32543301 DOI: 10.1080/17518423.2020.1777217] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Background: Patients with neurodevelopmental disorders are not always provided the quality of medical care they deserve. Medical personnel report limited preparation and education in caring for patients with neurodevelopmental disorders. Aim: The purpose of this systematic review is to summarize the research on medical personnel training programs, identify effective training methods, and provide directions for future application and research. Methods: Thirty-four studies met inclusion criteria. The studies were summarized in terms of training components, the medical personnel trained, and the effectiveness of the training in achieving target outcomes. Results: Seventy-nine percent of studies demonstrated improvement in target outcomes. A variety of training components were used in combination throughout the studies, demonstrating a possibility of significant change to medical personnel's abilities for and attitudes about working with patients with neurodevelopmental disorders. Conclusion: Further research is needed to determine specifically which types of training can affect which target outcomes.
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Affiliation(s)
- Katherine Ceglio
- Indiana University School of Medicine - Lafayette , West Lafayette, IN, USA
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17
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McNally Keehn R, Ciccarelli M, Szczepaniak D, Tomlin A, Lock T, Swigonski N. A Statewide Tiered System for Screening and Diagnosis of Autism Spectrum Disorder. Pediatrics 2020; 146:peds.2019-3876. [PMID: 32632023 DOI: 10.1542/peds.2019-3876] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/24/2020] [Indexed: 11/24/2022] Open
Abstract
Although autism spectrum disorder (ASD) can be reliably detected in the second year of life, the average age of diagnosis is 4 to 5 years. Limitations in access to timely ASD diagnostic evaluations delay enrollment in interventions known to improve developmental outcomes. As such, developing and testing streamlined methods for ASD diagnosis is a public health and research priority. In this report, we describe the Early Autism Evaluation (EAE) Hub system, a statewide initiative for ASD screening and diagnosis in the primary care setting. Development of the EAE Hub system involved geographically targeted provision of developmental screening technical assistance to primary care, community outreach, and training primary care clinicians in ASD evaluation. At the EAE Hubs, a standard clinical pathway was implemented for evaluation of children, ages 18 to 48 months, at risk for ASD. From 2012 to 2018, 2076 children were evaluated (mean age: 30 months; median evaluation wait time: 62 days), and 33% of children received a diagnosis of ASD. Our findings suggest that developing a tiered system of developmental screening and early ASD evaluation is feasible in a geographic region facing health care access problems. Through targeted delivery of education, outreach, and intensive practice-based training, large numbers of young children at risk for ASD can be identified, referred, and evaluated in the local primary care setting. The EAE Hub model has potential for dissemination to other states facing similar neurodevelopmental health care system burdens. Implementation lessons learned and key system successes, challenges, and future directions are reviewed.
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Affiliation(s)
- Rebecca McNally Keehn
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana; and
| | - Mary Ciccarelli
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana; and
| | - Dorota Szczepaniak
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana; and
| | - Angela Tomlin
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana; and
| | - Thomas Lock
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana; and
| | - Nancy Swigonski
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, Indiana; and.,Department of Health Policy and Management, Richard M. Fairbanks School of Public Health, Indiana University-Purdue University Indianapolis, Indianapolis, Indiana
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18
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Mazurek MO, Harkins C, Menezes M, Chan J, Parker RA, Kuhlthau K, Sohl K. Primary Care Providers' Perceived Barriers and Needs for Support in Caring for Children with Autism. J Pediatr 2020; 221:240-245.e1. [PMID: 32143927 DOI: 10.1016/j.jpeds.2020.01.014] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 11/22/2019] [Accepted: 01/09/2020] [Indexed: 01/08/2023]
Abstract
A mixed methods approach was used to examine perspectives of 114 primary care providers regarding barriers and needs for support in caring for children with autism. The most common barriers related to lack of knowledge and resources for diagnosing and treating children with autism, and inadequate visit time and reimbursement.
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Affiliation(s)
- Micah O Mazurek
- Department of Human Services, Curry School of Education and Human Development, University of Virginia, Charlottesville, VA, USA.
| | - Christina Harkins
- Department of Human Services, Curry School of Education and Human Development, University of Virginia, Charlottesville, VA, USA
| | - Michelle Menezes
- Department of Human Services, Curry School of Education and Human Development, University of Virginia, Charlottesville, VA, USA
| | - James Chan
- Biostatistics Center, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Robert A Parker
- Biostatistics Center, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Karen Kuhlthau
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Kristin Sohl
- Department of Child Health, University of Missouri, Columbia, MO, USA
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19
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Al-Dewik N, Al-Jurf R, Styles M, Tahtamouni S, Alsharshani D, Alsharshani M, Ahmad AI, Khattab A, Al Rifai H, Walid Qoronfleh M. Overview and Introduction to Autism Spectrum Disorder (ASD). ADVANCES IN NEUROBIOLOGY 2020; 24:3-42. [PMID: 32006355 DOI: 10.1007/978-3-030-30402-7_1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder generally manifesting in the first few years of life and tending to persist into adolescence and adulthood. It is characterized by deficits in communication and social interaction and restricted, repetitive patterns of behavior, interests, and activities. It is a disorder with multifactorial etiology. In this chapter, we will focus on the most important and common epidemiological studies, pathogenesis, screening, and diagnostic tools along with an explication of genetic testing in ASD.
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Affiliation(s)
- Nader Al-Dewik
- Clinical and Metabolic Genetics Section, Pediatrics Department, Hamad General Hospital (HGH), Women's Wellness and Research Center (WWRC) and Interim Translational Research Institute (iTRI), Hamad Medical Corporation (HMC), Doha, Qatar. .,College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Doha, Qatar. .,Faculty of Health and Social Care Sciences, Kingston University, St. George's University of London, London, UK.
| | - Rana Al-Jurf
- Department of Biomedical Science, College of Health Science, Qatar University, Doha, Qatar
| | - Meghan Styles
- Health Profession Awareness Program, Health Facilities Development, Hamad Medical Corporation (HMC), Doha, Qatar
| | - Sona Tahtamouni
- Child Development Center, Hamad Medical Corporation, Doha, Qatar
| | - Dalal Alsharshani
- College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Mohammed Alsharshani
- Diagnostic Genetics Division (DGD), Department of Laboratory Medicine and Pathology (DLMP), Hamad Medical Corporation (HMC), Doha, Qatar
| | - Amal I Ahmad
- Qatar Rehabilitation Institute (QRI), Hamad Medical Corporation (HMC), Doha, Qatar
| | - Azhar Khattab
- Qatar Rehabilitation Institute (QRI), Hamad Medical Corporation (HMC), Doha, Qatar
| | - Hilal Al Rifai
- Department of Pediatrics and Neonatology, Newborn Screening Unit, Hamad Medical Corporation, Doha, Qatar
| | - M Walid Qoronfleh
- Research and Policy Department, World Innovation Summit for Health (WISH), Qatar Foundation, Doha, Qatar
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20
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Increasing Access to Autism Spectrum Disorder Diagnostic Consultation in Rural and Underserved Communities: Streamlined Evaluation Within Primary Care. J Dev Behav Pediatr 2020; 41:16-22. [PMID: 31490843 PMCID: PMC6933088 DOI: 10.1097/dbp.0000000000000727] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Preliminary feasibility and clinical utility research has demonstrated that implementation of a streamlined diagnostic model embedded within primary care (PC) clinics promotes early identification of young children with autism spectrum disorder (ASD). Use of this model results in dramatically reduced waits for diagnostic consultation, high levels of family/provider satisfaction, and reductions in referrals to overtaxed tertiary diagnostic centers. The current study extends this work by providing data before/after implementation of a streamlined model across a diverse range of PC clinics that provide health care to rural and underserved communities. METHODS The streamlined assessment involved record/history review, diagnostic interview, standard rating scales, and an interactive screening tool. Eighty children between the ages of 19 and 47 months were seen across 5 different clinics. Data were collected through chart review. RESULTS Implementation of streamlined model resulted in a significant decrease in latency to diagnostic conclusion from a mean of 144.7 to 49.9 days. Children were likely to experience a greater reduction in wait times if they were a PC patient versus a non-PC patient. CONCLUSION Results show significant reduction in wait times for ASD diagnostic decisions across both PC and non-PC patients. By reducing waits and identifying concerns more efficiently, we may increase the ability of families to access early intervention and support services.
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21
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McCormack G, Dillon AC, Healy O, Walsh C, Lydon S. Primary Care Physicians’ Knowledge of Autism and Evidence-Based Interventions for Autism: A Systematic Review. REVIEW JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS 2019. [DOI: 10.1007/s40489-019-00189-4] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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22
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Juárez AP, Weitlauf AS, Nicholson A, Pasternak A, Broderick N, Hine J, Stainbrook JA, Warren Z. Early Identification of ASD Through Telemedicine: Potential Value for Underserved Populations. J Autism Dev Disord 2019. [PMID: 29527626 DOI: 10.1007/s10803-018-3524-y] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Increasing access to diagnostic services is crucial for identifying ASD in young children. We therefore evaluated a telemedicine assessment procedure. First, we compared telediagnostic accuracy to blinded gold-standard evaluations (n = 20). ASD cases identified via telemedicine were confirmed by in-person evaluation. However, 20% of children diagnosed with ASD in-person were not diagnosed via telemedicine. Second, we evaluated telediagnostic feasibility and acceptability in a rural catchment. Children (n = 45) and caregivers completed the telemedicine procedure and provided feedback. Families indicated high levels of satisfaction. Remote diagnostic clinicians diagnosed 62% of children with ASD, but did not feel capable of ruling-in or out ASD in 13% of cases. Findings support preliminary feasibility, accuracy, and clinical utility of telemedicine-based assessment of ASD for young children.
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Affiliation(s)
- A Pablo Juárez
- Vanderbilt Kennedy Center/Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Psychiatry & Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Amy S Weitlauf
- Vanderbilt Kennedy Center/Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Amy Nicholson
- Vanderbilt Kennedy Center/Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Anna Pasternak
- Vanderbilt Kennedy Center/Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Neill Broderick
- Vanderbilt Kennedy Center/Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jeffrey Hine
- Vanderbilt Kennedy Center/Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - J Alacia Stainbrook
- Vanderbilt Kennedy Center/Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Zachary Warren
- Vanderbilt Kennedy Center/Treatment and Research Institute for Autism Spectrum Disorders, Vanderbilt University Medical Center, Nashville, TN, USA. .,Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA. .,Department of Psychiatry & Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA. .,Department of Special Education, Vanderbilt University, Nashville, TN, USA.
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23
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Embedding Autism Spectrum Disorder Diagnosis Within the Medical Home: Decreasing Wait Times Through Streamlined Assessment. J Autism Dev Disord 2019; 48:2846-2853. [PMID: 29589272 DOI: 10.1007/s10803-018-3548-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Long waits for diagnostic assessment prevent early identification of children suspected of having autism spectrum disorder. We evaluated the benefit of embedded diagnostic consultation within primary care clinics. Using a streamlined diagnostic model, 119 children with concerns for autism spectrum disorder were seen over 14 months. Diagnostic clarity was determined through streamlined assessment for 59% of the children, while others required follow-up. Latency from first concern to diagnosis was 55 days and median age at diagnosis was 32 months: considerably lower than national averages or comparable tertiary clinics. Findings support that embedded processes for effective triage and diagnosis within the medical home is a viable mechanism for efficient access to diagnostic services and assists in bypassing a common barrier to specialized services.
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24
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Williams-Arya P, Anixt J, Kuan L, Johnson H, Kent B, Bing N, Ehrhardt J, Manning-Courtney P. Improving Access to Diagnostic Assessments for Autism Spectrum Disorder Using an Arena Model. J Dev Behav Pediatr 2019; 40:161-169. [PMID: 30907770 DOI: 10.1097/dbp.0000000000000648] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVE To improve access to diagnostic evaluations for children younger than 3 years with concerns for possible autism spectrum disorder. METHODS A multidisciplinary "arena model" for children younger than 3 years was developed, tested, and implemented over an approximately 2-year period. Arena assessment teams comprised a developmental behavioral pediatrician (DBP), psychologist, and speech language pathologist (SLP). Quality improvement methods were used during the design phase, conducting Plan-Do-Study-Act (PDSA) cycles and collecting feedback from key stakeholders, and during implementation, plotting data on run charts to measure outcomes of the time to initial visit and time to diagnosis. RESULTS Over the 9-month implementation period, 6 arena assessment teams were formed to provide 60 evaluation slots per month for children younger than 3 years. The time to first visit was reduced from a median of 122 days to 19 days, and the time to final diagnosis was reduced from 139 days to 14 days, maintaining these outcomes at <35 and <18 days, respectively, over a 2-year period. Total visits required decreased from 4 to 5 visits to just 2 visits, and the average assessment cost was reduced by $992 per patient. Feedback from both providers and families participating in this model was overwhelmingly positive. CONCLUSION Access for young children referred for developmental assessments can be improved through an understanding of supply and demand and the development of creative and flexible care delivery models.
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Affiliation(s)
- Pamela Williams-Arya
- Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Julia Anixt
- Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Lisa Kuan
- Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Heather Johnson
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Bridget Kent
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Nicole Bing
- Division of Developmental and Behavioral Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Jennifer Ehrhardt
- Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Patricia Manning-Courtney
- Division of Developmental and Behavioral Pediatrics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH
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25
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Mazurek MO, Curran A, Burnette C, Sohl K. ECHO Autism STAT: Accelerating Early Access to Autism Diagnosis. J Autism Dev Disord 2019; 49:127-137. [PMID: 30043354 DOI: 10.1007/s10803-018-3696-5] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Although early diagnosis of autism is critical for promoting access to early intervention, many children experience significant diagnostic delays. Shortages of healthcare providers, limited capacity at autism centers, and geographic and socioeconomic challenges contribute to these delays. The current pilot study examined the feasibility of a new model for training community-based primary care providers (PCPs) in underserved areas in screening and diagnosis of young children at highest risk for autism. By combining hands-on training in standardized techniques with ongoing virtual mentorship and practice, the program emphasized both timely diagnosis and appropriate referral for more comprehensive assessment when necessary. Results indicated improvements in PCP practice and self-efficacy, and feasibility of the model for enhancing local access to care.
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Affiliation(s)
- Micah O Mazurek
- Department of Human Services, Curry School of Education, University of Virginia, 417 Emmet Street South, PO Box 400267, Charlottesville, VA, 22903, USA.
| | - Alicia Curran
- Thompson Center for Autism and Neurodevelopmental Disorders, University of Missouri, Columbia, MO, USA
| | - Courtney Burnette
- Center for Development and Disability, Department of Pediatrics, University of New Mexico, Albuquerque, NM, USA
| | - Kristin Sohl
- Thompson Center for Autism and Neurodevelopmental Disorders, University of Missouri, Columbia, MO, USA
- Department of Child Health, University of Missouri, Columbia, MO, USA
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26
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Rubenstein E, Schieve L, Wiggins L, Rice C, Van Naarden Braun K, Christensen D, Durkin M, Daniels J, Lee LC. Trends in documented co-occurring conditions in children with autism spectrum disorder, 2002-2010. RESEARCH IN DEVELOPMENTAL DISABILITIES 2018; 83:168-178. [PMID: 30227350 PMCID: PMC6741291 DOI: 10.1016/j.ridd.2018.08.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 08/28/2018] [Indexed: 06/01/2023]
Abstract
BACKGROUND Autism spectrumdisorder (ASD) commonly presents with co-occurring medical conditions (CoCs). Little is known about patterns in CoCs in a time of rising ASD prevalence. AIMS To describe trends in number and type of documented CoCs in 8-year-old children with ASD. METHODS We used Autism and Developmental Disabilities Monitoring Network (ADDM) data, a multi-source active surveillance system monitoring ASD prevalence among 8-year-old children across the US. Data from surveillance years 2002, 2006, 2008, and 2010 were used to describe trends in count, categories, and individual CoCs. RESULTS Mean number of CoCs increased from 0.94 CoCs in 2002 to 1.06 CoCs in 2010 (p < 0.001). The percentage of children with ASD with any CoC increased from 44.5% to 56.4% (p < 0.001). CoCs with the greatest increases were in general developmental disability (10.4% to 14.5%), language disorder (18.9% to 23.6%), and motor developmental disability (10.5% to 15.6%). Sex modified the relationship between developmental (P = 0.02) and psychiatric (P < 0.001) CoCs and surveillance year. Race/ethnicity modified the relationship between neurological conditions (P = 0.04) and surveillance year. CONCLUSIONS The increase in the percentage of children with ASD and CoCs may suggest the ASD phenotype has changed over time or clinicians are more likely to diagnose CoCs.
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Affiliation(s)
- Eric Rubenstein
- Department of Epidemiology, University of North Carolina at Chapel Hill, 116A South Merrit Mill, Chapel Hill, NC 27516, United States.
| | - Laura Schieve
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 1600 Clifton Rd, MS E-86, Atlanta, GA 30333, United States
| | - Lisa Wiggins
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 1600 Clifton Rd, MS E-86, Atlanta, GA 30333, United States
| | - Catherine Rice
- Department of Psychiatry, Emory University School of Medicine, 1551 Shoup Court, Atlanta, GA 30322, United States
| | - Kim Van Naarden Braun
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 1600 Clifton Rd, MS E-86, Atlanta, GA 30333, United States
| | - Deborah Christensen
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 1600 Clifton Rd, MS E-86, Atlanta, GA 30333, United States
| | - Maureen Durkin
- Department of Population Health Sciences, University of Wisconsin, 610 Walnut Street, Madison, WI 53726, United States
| | - Julie Daniels
- Department of Epidemiology, University of North Carolina at Chapel Hill, 116A South Merrit Mill, Chapel Hill, NC 27516, United States
| | - Li-Ching Lee
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, United States
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27
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Shahidullah JD, Azad G, Mezher KR, McClain MB, McIntyre LL. Linking the Medical and Educational Home to Support Children With Autism Spectrum Disorder: Practice Recommendations. Clin Pediatr (Phila) 2018; 57:1496-1505. [PMID: 29719986 DOI: 10.1177/0009922818774344] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Children with autism spectrum disorder (ASD) present with complex medical problems that are often exacerbated by a range of other intellectual and psychiatric comorbidities. These children receive care for their physical and mental health from a range of providers within numerous child-serving systems, including their primary care clinic, school, and the home and community. Given the longitudinal nature in which care is provided for this chronic disorder, it is particularly necessary for services and providers to coordinate their care to ensure optimal efficiency and effectiveness. There are 2 primary venues that serve as a "home" for coordination of service provision for children with ASD and their families-the "medical home" and the "educational home." Unfortunately, these venues often function independently from the other. Furthermore, there are limited guidelines demonstrating methods through which pediatricians and other primary care providers (PCPs) can coordinate care with schools and school-based providers. The purpose of this article is 2-fold: (1) we highlight the provision of evidence-based care within the medical home and educational home and (2) we offer practice recommendations for PCPs in integrating these systems to optimally address the complex medical, intellectual, and psychiatric symptomology affected by autism.
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Affiliation(s)
- Jeffrey D Shahidullah
- 1 Rutgers University, New Brunswick, NJ, USA and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
| | - Gazi Azad
- 2 Johns Hopkins University, Baltimore, MD, USA and Kennedy Krieger Institute, Baltimore, MD, USA
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28
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Penner M, King GA, Hartman L, Anagnostou E, Shouldice M, Hepburn CM. Community General Pediatricians' Perspectives on Providing Autism Diagnoses in Ontario, Canada: A Qualitative Study. J Dev Behav Pediatr 2017; 38:593-602. [PMID: 28937447 PMCID: PMC5625971 DOI: 10.1097/dbp.0000000000000483] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 06/02/2017] [Indexed: 01/03/2023]
Abstract
OBJECTIVE Community general pediatricians (CGPs) are a potential resource to increase capacity for autism spectrum disorder (ASD) diagnostic assessments. The objective of this study was to explore factors influencing CGPs' perspectives on and practices of providing ASD diagnoses. METHODS This qualitative study used a constructivist modified grounded theory approach. Participants included CGPs who had attended ASD educational events or had referred a child with suspected ASD to a tertiary rehabilitation center. Individual in-depth interviews with CGPs were recorded, transcribed, and coded. An explanatory framework was developed from the data. A summary of the framework was sent to participants, and responses indicated that no changes were needed. RESULTS Eleven CGPs participated. Assessment for ASD consists of 3 stages: (1) determining the diagnosis; (2) communicating the diagnosis; and (3) managing next steps after diagnosis. Each of these stages of ASD diagnostic assessment exists within an ecological context of child/family factors, personal CGP factors, and contextual/systems factors that all influence diagnostic decision making. CONCLUSION Community general pediatrician ASD diagnostic capacity must be considered within the larger context of ASD care. Suggestions to improve diagnostic capacity include preparing families for the diagnosis, changing CGP perceptions of ASD, providing community-based training, improving financial remuneration, and providing service navigation. Further study is needed to ensure that CGPs are providing accurate, high-quality assessments.
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Affiliation(s)
- Melanie Penner
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Department of Paediatrics, University of Toronto, Toronto, ON, Canada
| | - Gillian A. King
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, ON, Canada
| | - Laura Hartman
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Department of Occupational Science and Occupational Therapy, University of Toronto, Toronto, ON, Canada
| | - Evdokia Anagnostou
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada
- Department of Paediatrics, University of Toronto, Toronto, ON, Canada
| | - Michelle Shouldice
- Department of Paediatrics, University of Toronto, Toronto, ON, Canada
- Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada
| | - Charlotte Moore Hepburn
- Department of Paediatrics, University of Toronto, Toronto, ON, Canada
- Department of Paediatrics, The Hospital for Sick Children, Toronto, ON, Canada
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29
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Gordon-Lipkin E, Foster J, Peacock G. Whittling Down the Wait Time: Exploring Models to Minimize the Delay from Initial Concern to Diagnosis and Treatment of Autism Spectrum Disorder. Pediatr Clin North Am 2016; 63:851-9. [PMID: 27565363 PMCID: PMC5583718 DOI: 10.1016/j.pcl.2016.06.007] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
The process from initial concerns to diagnosis of autism spectrum disorder (ASD) can be a long and complicated process. The traditional model for evaluation and diagnosis of ASD often consists of long wait-lists and evaluations that result in a 2-year difference between the earliest signs of ASD and mean age of diagnosis. Multiple factors contribute to this diagnostic bottleneck, including time-consuming evaluations, cost of care, lack of providers, and lack of comfort of primary care providers to diagnose autism. This article explores innovative clinical models that have been implemented to address this as well as future directions and opportunities.
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Affiliation(s)
- Eliza Gordon-Lipkin
- Department of Neurology and Developmental Medicine, Kennedy Krieger Institute, 716 North Broadway, Baltimore, MD 21205, USA.
| | - Jessica Foster
- Section of Developmental Pediatrics, Akron Children's Hospital, Neuro Developmental Science Center, Considine Professional Building, 215 West Bowery Street, Suite 4400, Akron, OH 44308, USA
| | - Georgina Peacock
- Division of Human Development and Disability, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, 4770 Buford Hwy MS-E88, Atlanta, GA 30329, USA
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Kairys SW, Petrova A. Role of Participation of Pediatricians in the "Activated Autism Practice" Program in Practicing Children With Autism Spectrum Disorders at the Primary Care Setting. Glob Pediatr Health 2016; 3:2333794X16663544. [PMID: 27583299 PMCID: PMC4995666 DOI: 10.1177/2333794x16663544] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Accepted: 03/30/2016] [Indexed: 11/15/2022] Open
Abstract
Primary care of children with autism spectrum disorders (ASD) is an important public health concerns. In this survey study of 73 pediatricians, we determined whether pediatricians' practice of autism screening and perception of management of ASD is associated with participation in a learning collaborative, "Activated Autism Practice". Overall, the majority recognized the lack of care coordination, inadequate time, poor reimbursement, and language difference as barriers to the delivery of medical care to children with ASD. Pediatricians with prior training were more likely to report use of autism-specific screening and understanding the different aspects of ASD management including the need to coordinate special services and long-term surveillance at pediatric sites. Therefore, participation in "Activated Autism Practice" may facilitate use of ASD-specific screening and manage ASD cases as a complex of neurodevelopmental/underlying problems with the need for enhancement of clinical attention and coordination of medical care at the pediatric primary care level.
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Affiliation(s)
- Steven W Kairys
- Jersey Shore University Medical Center, Neptune City, NJ, USA
| | - Anna Petrova
- Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
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Zwaigenbaum L, Bauman ML, Choueiri R, Fein D, Kasari C, Pierce K, Stone WL, Yirmiya N, Estes A, Hansen RL, McPartland JC, Natowicz MR, Buie T, Carter A, Davis PA, Granpeesheh D, Mailloux Z, Newschaffer C, Robins D, Smith Roley S, Wagner S, Wetherby A. Early Identification and Interventions for Autism Spectrum Disorder: Executive Summary. Pediatrics 2015; 136 Suppl 1:S1-9. [PMID: 26430167 PMCID: PMC9923899 DOI: 10.1542/peds.2014-3667b] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada;
| | - Margaret L. Bauman
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts
| | - Roula Choueiri
- Division of Developmental and Behavioral Pediatrics, University of Massachusetts Memorial Children’s Medical Center, Worcester, Massachusetts
| | - Deborah Fein
- Department of Psychology, University of Connecticut, Storrs, Connecticut
| | - Connie Kasari
- Graduate School of Education & Information Studies, University of California Los Angeles, Los Angeles, California
| | - Karen Pierce
- Department of Neurosciences, University of California San Diego, La Jolla, California
| | | | - Nurit Yirmiya
- Department of Psychology, Hebrew University of Jerusalem Mount Scopus, Jerusalem, Israel
| | - Annette Estes
- Speech and Hearing Sciences, University of Washington, Seattle, Washington
| | - Robin L. Hansen
- Department of Pediatrics, University of California Davis MIND Institute, Sacramento, California
| | | | | | - Timothy Buie
- Harvard Medical School and Massachusetts General Hospital for Children, Boston, Massachusetts
| | - Alice Carter
- Department of Psychology, University of Massachusetts, Boston, Massachusetts
| | | | | | - Zoe Mailloux
- Department of Occupational Therapy, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Craig Newschaffer
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania
| | - Diana Robins
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania
| | - Susanne Smith Roley
- USC Mrs T.H. Chan Division of Occupational Science and Occupational Therapy, Los Angeles, California
| | - Sheldon Wagner
- Behavioral Development & Educational Services, New Bedford, Massachusetts; and
| | - Amy Wetherby
- Department of Clinical Sciences, Florida State University College of Medicine, Tallahassee, Florida
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Zwaigenbaum L, Bauman ML, Fein D, Pierce K, Buie T, Davis PA, Newschaffer C, Robins DL, Wetherby A, Choueiri R, Kasari C, Stone WL, Yirmiya N, Estes A, Hansen RL, McPartland JC, Natowicz MR, Carter A, Granpeesheh D, Mailloux Z, Smith Roley S, Wagner S. Early Screening of Autism Spectrum Disorder: Recommendations for Practice and Research. Pediatrics 2015; 136 Suppl 1:S41-59. [PMID: 26430169 PMCID: PMC9923900 DOI: 10.1542/peds.2014-3667d] [Citation(s) in RCA: 135] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
This article reviews current evidence for autism spectrum disorder (ASD) screening based on peer-reviewed articles published to December 2013. Screening provides a standardized process to ensure that children are systematically monitored for early signs of ASD to promote earlier diagnosis. The current review indicates that screening in children aged 18 to 24 months can assist in early detection, consistent with current American Academy of Pediatrics' recommendations. We identify ASD-specific and broadband screening tools that have been evaluated in large community samples which show particular promise in terms of accurate classification and clinical utility. We also suggest strategies to help overcome challenges to implementing ASD screening in community practice, as well as priorities for future research.
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Affiliation(s)
- Lonnie Zwaigenbaum
- Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada;
| | - Margaret L. Bauman
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, Massachusetts
| | - Deborah Fein
- Department of Psychology, University of Connecticut, Storrs, Connecticut
| | - Karen Pierce
- Department of Neurosciences, University of California San Diego, La Jolla, California
| | - Timothy Buie
- Harvard Medical School and Massachusetts General Hospital for Children, Boston, Massachusetts
| | | | - Craig Newschaffer
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania
| | - Diana L. Robins
- A.J. Drexel Autism Institute, Drexel University, Philadelphia, Pennsylvania
| | - Amy Wetherby
- Department of Clinical Sciences, Florida State University College of Medicine, Tallahassee, Florida
| | - Roula Choueiri
- Division of Developmental and Behavioral Pediatrics, University of Massachusetts Memorial Children’s Medical Center, Worcester, Massachusetts
| | - Connie Kasari
- Graduate School of Education & Information Studies, University of California Los Angeles, Los Angeles, California
| | | | - Nurit Yirmiya
- Department of Psychology, Hebrew University of Jerusalem Mount Scopus, Jerusalem, Israel
| | - Annette Estes
- Speech and Hearing Sciences, University of Washington, Seattle, Washington
| | - Robin L. Hansen
- Department of Pediatrics, University of California Davis MIND Institute, Sacramento, California
| | | | | | - Alice Carter
- Department of Psychology, University of Massachusetts, Boston, Massachusetts
| | | | - Zoe Mailloux
- Department of Occupational Therapy, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Susanne Smith Roley
- USC Mrs T.H. Chan Division of Occupational Science and Occupational Therapy, Los Angeles, California; and
| | - Sheldon Wagner
- Behavioral Development & Educational Services, New Bedford, Massachusetts
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Reese RM, Braun MJ, Hoffmeier S, Stickle L, Rinner L, Smith C, Ellerbeck K, Jamison R, Wendland M, Jarrett L, Hadorn M. Preliminary Evidence for the Integrated Systems Using Telemedicine. Telemed J E Health 2015; 21:581-7. [PMID: 25898157 DOI: 10.1089/tmj.2014.0124] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Autism affects as many as 1 in 68 children in the United States. Early identification and access to intervention services promote improved outcomes for children with autism and other developmental delays. Children living in rural and underserved areas have limited access to such services and are diagnosed later than those living more suburban and urban areas. Our Integrated Systems Using Telemedicine (ISUT) Model uses a cost-effective method for families to access diagnostic and other specialty care through telemedicine. This model links families, trained early intervention providers and educators, and university-based medical professionals. MATERIALS AND METHODS We trained autism diagnostic teams throughout the state who completed diagnostic measures and connected to university medical center teams for final diagnosis of autism and coexisting conditions. We gathered preliminary data to measure the impact of the ISUT model on access to services, potential cost savings for families, and parent satisfaction with the model. RESULTS Preliminary data indicate that our ISUT model provided families in rural and underserved areas improved access to diagnostic services as well as cost savings for travel. Our satisfaction data indicate that parents are equally satisfied with services received through the ISUT and through the University-Based Medical Center Team Model. CONCLUSIONS The ISUT model provides a unique collaboration among the family, educational system, autism experts in the community, and the university medical center autism team while providing a cost-effective means for families to access specialty care while promoting coordination of care within the community.
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Affiliation(s)
- R Matthew Reese
- 1 Center for Child Health and Development, University of Kansas Medical Center , Kansas City, Kansas
| | - Matthew J Braun
- 1 Center for Child Health and Development, University of Kansas Medical Center , Kansas City, Kansas
| | - Sarah Hoffmeier
- 2 Technical Assistance Support Network , University of Kansas Medical Center, Kansas City, Kansas
| | - Lee Stickle
- 2 Technical Assistance Support Network , University of Kansas Medical Center, Kansas City, Kansas
| | - Louann Rinner
- 1 Center for Child Health and Development, University of Kansas Medical Center , Kansas City, Kansas
| | - Catherine Smith
- 1 Center for Child Health and Development, University of Kansas Medical Center , Kansas City, Kansas
| | - Kathryn Ellerbeck
- 1 Center for Child Health and Development, University of Kansas Medical Center , Kansas City, Kansas
| | - Rene Jamison
- 1 Center for Child Health and Development, University of Kansas Medical Center , Kansas City, Kansas
| | - Maura Wendland
- 1 Center for Child Health and Development, University of Kansas Medical Center , Kansas City, Kansas
| | - Lindsey Jarrett
- 1 Center for Child Health and Development, University of Kansas Medical Center , Kansas City, Kansas
| | - Megan Hadorn
- 1 Center for Child Health and Development, University of Kansas Medical Center , Kansas City, Kansas
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Yim D, Kim SY, Park W, Cheon S, Lee YJ. Analysis on Needs Based Survey of Parents and Speech-Language Pathologists for Smartphone Programs. COMMUNICATION SCIENCES & DISORDERS 2014. [DOI: 10.12963/csd.14199] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Abstract
Autism spectrum disorder (ASD) is both common and complicated. Many children with ASD are not identified until school age. The primary care physician (PCP) plays a vital role in recognizing the symptoms of ASD and in making referrals for definitive diagnosis. Most children with ASD also have co-occurring learning, medical, and/or mental health problems that require collaboration across the educational, medical, and mental health systems. This article reviews the symptoms of ASD, screening tools for school-aged children suspected of having ASD, and the PCP's role in identifying ASD and managing co-occurring conditions in the primary care medical home.
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Affiliation(s)
- Kathryn Ellerbeck
- Center for Child Health and Development, University of Kansas Medical Center, 3901 Rainbow Blvd. MS 4003, Kansas City, KS 66160, USA.
| | - Catherine Smith
- Center for Child Health and Development, University of Kansas Medical Center, 3901 Rainbow Blvd. MS 4003, Kansas City, KS 66160, USA
| | - Andrea Courtemanche
- Center for Child Health and Development, University of Kansas Medical Center, 3901 Rainbow Blvd. MS 4003, Kansas City, KS 66160, USA
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Approaches to enhancing the early detection of autism spectrum disorders: a systematic review of the literature. J Am Acad Child Adolesc Psychiatry 2014; 53:141-52. [PMID: 24472250 DOI: 10.1016/j.jaac.2013.11.002] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2013] [Revised: 08/21/2013] [Accepted: 11/18/2013] [Indexed: 11/23/2022]
Abstract
BACKGROUND A reliable diagnosis of autism can be made as early as 24 months, yet in many children diagnoses are made much later. A delay in diagnosis translates into a missed opportunity to provide early intervention services and to improve outcomes. The aim of the current study was to review the literature on early detection approaches in primary care and other community settings in the United States. METHODS A search was conducted of the peer-reviewed and gray literature to identify studies published from January 1990 through January 2013 testing approaches to enhance the early detection of autism in community settings in the United States. RESULTS The search identified 40 studies describing 35 approaches, which were grouped into the following categories: awareness (n = 4), routine screening (n = 21), and practice improvement to enhance screening (n = 10). Awareness approaches were associated with positive changes in knowledge of autism-related topics. Routine screening yielded high or increased rates of screening and referrals; however, few studies assessed the effect of screening on age at diagnosis or services enrollment. Practice improvement approaches resulted in increased screening and referral rates and highlighted the importance of adopting a multipronged approach to enhance early detection. CONCLUSIONS Although studies that tested screening approaches in community settings found positive results, the effectiveness of such efforts on reducing time to diagnosis and services enrollment remains largely untested. The fact that few studies reported outcomes beyond rates of referral indicates the need for enhanced methodological rigor, particularly with respect to length of follow-up and quality of measures used.
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Major NE, Peacock G, Ruben W, Thomas J, Weitzman CC. Autism training in pediatric residency: evaluation of a case-based curriculum. J Autism Dev Disord 2013; 43:1171-7. [PMID: 23008057 DOI: 10.1007/s10803-012-1662-1] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Despite recent studies indicating the high prevalence of autism spectrum disorders (ASDs), there has been little focus on improving ASD education during pediatric residency training. The objective of this study was to evaluate a new curriculum developed in partnership with the Centers for Disease Control and Prevention and the Maternal and Child Health Bureau about ASDs. "Autism Case Training (ACT): A Developmental-Behavioral Pediatrics Curriculum" consists of 7 case-based teaching modules. Modules were facilitated by faculty at 26 pediatric residency programs and data were obtained on 114 residents. Pre- and post-test data revealed significant short-term improvements in residents' knowledge and self-assessed competence regarding ASDs. Findings suggest that the ACT curriculum is effective in enhancing training about ASDs in pediatric residency programs.
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Affiliation(s)
- Nili E Major
- Department of Pediatrics, Yale School of Medicine, 333 Cedar Street, PO Box 208064, New Haven, CT 06520-8064, USA.
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Swanson AR, Warren ZE, Stone WL, Vehorn AC, Dohrmann E, Humberd Q. The diagnosis of autism in community pediatric settings: does advanced training facilitate practice change? AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2013; 18:555-61. [PMID: 23847130 DOI: 10.1177/1362361313481507] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The increased prevalence of autism spectrum disorder and documented benefits of early intensive intervention have created a need for flexible systems for determining eligibility for autism-specific services. This study evaluated the effectiveness of a training program designed to enhance autism spectrum disorder identification and assessment within community pediatric settings across the state. Twenty-seven pediatric providers participated in regional trainings across a 3.5-year period. Trainings provided clinicians with strategies for conducting relatively brief within-practice interactive assessments following positive autism spectrum disorder screenings. Program evaluation was measured approximately 1.5 years following training through (a) clinician self-reports of practice change and (b) blind diagnostic verification of a subset of children assessed. Pediatric providers participating in the training reported significant changes in screening and consultation practices following training, with a reported 85% increase in diagnostic identification of children with autism spectrum disorder within their own practice setting. In addition, substantial agreement (86%-93%) was found between pediatrician diagnostic judgments and independent, comprehensive blinded diagnostic evaluations. Collaborative training methods that allow autism spectrum disorder identification within broader community pediatric settings may help translate enhanced screening initiatives into more effective and efficient diagnosis and treatment.
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Kobak KA, Stone WL, Ousley OY, Swanson A. Web-based training in early autism screening: results from a pilot study. Telemed J E Health 2012; 17:640-4. [PMID: 21939382 DOI: 10.1089/tmj.2011.0029] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Lack of familiarity with early signs of autism by community service providers has resulted in significant delays in children receiving early intervention services necessary to improve long-term outcomes. The Screening Tool for Autism in Toddlers and Young Children (STAT) was specifically developed to identify early behavioral features of autism. Although STAT training has been available for years, access is limited because of few STAT trainers and geographic concerns. This study evaluated the efficacy and acceptability of Web-based training of the STAT as a means of increasing accessibility to this training. MATERIALS AND METHODS Thirty professionals from three geographic areas participated. Roughly 1 of 3 had little or no training on autism assessment. The tutorial contains a general overview, administration and scoring conventions, and item-specific content and concepts. Participants completed a pretest and then completed the STAT tutorial at their own pace, followed by a post-test and a user satisfaction questionnaire. RESULTS Mean scores on STAT concepts significantly improved after taking the tutorial (p<0.001). At pretest, only 1 person (3%) obtained correct scores on at least 80% of the items (a priori cutoff for a "pass"), compared with 22 (73%) at post-test (p<0.001). The majority of trainees enjoyed taking the tutorial, thought it was well organized, relevant, interesting, and useful, and felt it was easy to understand and operate. DISCUSSION Results support Web-based training as a promising method for promoting early identification of autism and may help overcome problems associated with the critical shortage of autism-screening professionals.
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Affiliation(s)
- Kenneth A Kobak
- Center for Psychological Consultation, Madison, Wisconsin 53717, USA.
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Taylor JL, Warren ZE. Maternal Depressive Symptoms Following Autism Spectrum Diagnosis. J Autism Dev Disord 2011; 42:1411-8. [DOI: 10.1007/s10803-011-1375-x] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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