Improving the early screening procedure for autism spectrum disorder in young children: Experience from a community‐based model in shanghai

Impaired motor and social skill development in infancy predict high autistic traits in toddlerhood

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder. Early diagnosis in the critical period is important for ASD children. Recent studies of neurodevelopmental behavioral features and joint attention in high-risk infants showed there are some special cues which can distinguish ASD from typical development infant. But the findings of high-risk population may not be applicable to the general population. It is necessary to "analogically" study the potential warning traits of ASD in infancy in the general population. We did a nested case-control study from June 2019 to November 2022 in Tianjin, China, including 76 general infants whom completed the neurodevelopmental evaluation, the Checklist for Autism in Toddlers-23 (CHAT-23) screening, and eye tracking task. Social behavior quotient in infancy was negatively correlated to CHAT-23 total scores in toddlerhood. Social behavior quotient in infancy was positively correlated to initiating joint attention in toddlerhood. Regression model showed that high fine motor scale and social behaviour scale quotient in infancy were associated with an decreased risk of the total score of CHAT-23 ≥ 2 in toddlerhood. The Receiver operating characteristic curve showed the social behaviour in infancy alone and the combination of fine motor and social behaviour in infancy contributed to auxiliary diagnosis of higher level of autistic traits in toddlerhood. These findings suggest that Impaired development of fine motor and social behavior in infancy are potential warning features of high autistic traits in general population.

Explaining differences in autism detection timing: Age of diagnosis and associated individual and socio-familial factors in Chinese children

LAY ABSTRACT

Timely detection is an issue of paramount importance in the care of children with autism spectrum disorder. Whether the delayed autism spectrum disorder diagnosis can be explained by children's clinical presentations and socio-familial status in China is a question to be addressed. We investigated 1235 autism spectrum disorder children from 132 rehabilitation organisations in Shenzhen, China. These children were found to have a mean age of diagnosis of 31.4 ± 12.7 months and a median age of diagnosis of 30.0 months. The majority of these children were able to receive their diagnosis during toddlerhood. However, about one in six were not diagnosed until they entered preschool or later, thus missing the golden window of opportunity for early intervention. The age of diagnosis was likely to be late if the children were older, were less severe and presented with no intellectual impairment. The odds of having a delayed autism spectrum disorder diagnosis were more than 9 times higher among migrant autism spectrum disorder children than among those with local household registrations, thus underscoring the importance of identifying culturally sensitive socio-economic determinants in autism spectrum disorder detection, as these factors are likely to affect the quality of life of many autism spectrum disorder children and their families.

Improving early detection, diagnosis and intervention for children with autism spectrum disorder: A cross-sectional survey in China

BACKGROUND

Detection and diagnosis of autism spectrum disorder (ASD) are prerequisites for early interventions. However, few studies focused on this topic.

AIM

This study aims to characterize the timing from symptom detection to intervention in children with ASD and identify predictors of age at ASD diagnosis, presence of intervention, and the time lag between detection and diagnosis.

METHODS AND PROCEDURES

A cross-sectional survey was conducted with 303 parents (111 fathers and 192 mothers, 21-54 years) of children with ASD in Guangzhou, China.

OUTCOMES AND RESULTS

The median time from symptom observation to the first doctor visit was 3 months, while the time to ASD diagnosis averaged 6 months. Most children (76.24 %) were diagnosed within one year after detection, and 25.58 % had no intervention after diagnosis. Predictors of earlier ASD diagnosis included ASD-related symptoms identified at an older age, less serious symptoms, and initial symptoms with atypical motor development and sensory anomalies. ASD-related symptoms observed at an older age, initial symptoms with social deficits, sensory anomalies, and without language impairment, primary caregivers other than parents, families with lower income, and less social support utilization increased the odds of a time lag between detection and diagnosis. Children with fathers having lower education were less likely to receive interventions.

CONCLUSIONS AND IMPLICATIONS

Earlier ASD identification and intervention might be facilitated by health education on typical symptoms of ASD for parents with young children and incorporating ASD screening during routine health examinations for children. For children whose primary caregivers are not their parents and from lower-income families, additional support may be required for timely diagnosis after reporting ASD-related symptoms. Moreover, more intervention supports are expected for children whose fathers have lower education levels. Helping families take full advantage of support is also important for early diagnosis and intervention.

Efficacy of Children Neuropsychological and Behavioral Scale in Screening for Autism Spectrum Disorders through a Combination of Developmental Surveillance

OBJECTIVE

This study aimed to explore the clinical value of Children Neuropsychological and Behavioral Scale-Revision 2016 (CNBS-R2016) for Autism Spectrum Disorder (ASD) screening in the presence of developmental surveillance.

METHODS

All participants were evaluated by the CNBS-R2016 and Gesell Developmental Schedules (GDS). Spearman's correlation coefficients and Kappa values were obtained. Taking GDS as a reference assessment, the performance of the CNBS-R2016 for detecting the developmental delays of children with ASD was analyzed with receiver operating characteristic (ROC) curves. The efficacy of the CNBS-R2016 to screen for ASD was explored by comparing Communication Warning Behavior with Autism Diagnostic Observation Schedule, Second Edition (ADOS-2).

RESULTS

In total, 150 children aged 12-42 months with ASD were enrolled. The developmental quotients of the CNBS-R2016 were correlated with those of the GDS (r=0.62-0.94). The CNBS-R2016 and GDS had good diagnostic agreement for developmental delays (Kappa=0.73-0.89), except for Fine Motor. There was a significant difference between the proportions of Fine Motor, delays detected by the CNBS-R2016 and GDS (86.0% vs. 77.3%). With GDS as a standard, the areas under the ROC curves of the CNBS-R2016 were above 0.95 for all the domains except Fine Motor, which was 0.70. In addition, the positive rate of ASD was 100.0% and 93.5% when the cut-off points of 7 and 12 in the Communication Warning Behavior subscale were used, respectively.

CONCLUSION

The CNBS-R2016 performed well in developmental assessment and screening for children with ASD, especially by Communication Warning Behaviors subscale. Therefore, the CNBS-R2016 is worthy of clinical application in children with ASD in China.

Early Identification of Autism Spectrum Disorder (ASD): Strategies for Use in Local Communities

Early diagnosis of autism spectrum disorder (ASD) is essential for improved outcomes. There is a paucity of data on the prevalence of ASD in low- and middle-income countries (LMIC), but early identification may be further delayed in those communities. In this paper, recent studies on strategies for the early detection of ASD, and the prevalence of ASD in LMIC are reviewed. The limitations that can arise in the early identification of ASD in LMIC communities are discussed, and screening tools and strategies that can be helpful are identified. The goal is to recommend models that are culturally appropriate and scientifically valid, easily integrated within community settings while strengthening community systems and reducing disparities in the early identification of ASD. Starting locally by simplifying and demystifying the ASD identification process and building community connections will inform global researchers and policymakers while making a difference in the lives of the children and families affected by ASD.

Risk factors for ASD : Risk Factors for Autism Spectrum Disorder in Shanghai, China: A Population-based Case-control Study

Autism spectrum disorder (ASD) is a pervasive neurodevelopmental disorder that brings heavy burdens to families and the society. This case-control study explored risk factors for ASD based on 74,252 children aged 3-12 years who were recruited from general education kindergartens, primary schools, and special education schools in Shanghai, China. One hundred ninety-two children were identified with ASD according to the Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition. Male sex, the presence of anoxia or asphyxia at birth, artificial feeding, adverse maternal psychological status, complications during pregnancy and higher paternal education were associated with ASD even after controlling for age, residential district, family history of mental disorders, parental personality, and amount of daily TV viewing.

Screening for Autism Spectrum Disorder in Toddlers During the 18- and 24-Month Well-Child Visits

OBJECTIVE

Early screening contributes to the early detection of children with autism spectrum disorder (ASD). We conducted a longitudinal ASD screening study in a large community setting. The study was designed to investigate the diagnostic rate of ASD screening and determine the effectiveness of ASD screening model in a community-based sample.

METHODS

We enrolled children who attended 18- and 24-month well-child care visits in Shanghai Xuhui District. Modified Checklist for Autism in Toddlers, Revised with Follow-up (M-CHAT-R/F) and Binomial Observation Test (BOT) were selected as screening instruments. Screen-positive children were referred to a tertiary diagnostic center for comprehensive ASD diagnostic evaluation. Screen-negative children received well-child checkups and follow-up every 3-6 months until age three and were referred if they were suspected of having ASD.

RESULTS

A total of 11,190 toddlers were screened, and 36 screen-positive toddlers were diagnosed with ASD. The mean age at diagnosis for these children was 23.1 ± 4.55 months, diagnosed 20 months earlier than ASD children not screened. The diagnostic rate of ASD was 0.32% (95% CI: 0.23-0.45%) in this community-based sample. In addition, 12 screen-negative children were diagnosed with ASD during subsequent well-child visit and follow-up. The average diagnostic rate of ASD rose to 0.43% (95% CI: 0.32-0.57%) when toddlers were followed up to 3 years old. The positive predictive values (PPVs) of M-CHAT-R/F, M-CHAT-R high risk, and BOT for ASD were 0.31, 0.43, and 0.38 respectively.

CONCLUSION

Our findings provide reliable data for estimating the rate of ASD detection and identifying the validity of community-based screening model. M-CHAT-R/F combined with BOT can be an effective tool for early detection of ASD. This community-based screening model is worth replicating.

Awareness and knowledge of autism spectrum disorder in Western China: Promoting early identification and intervention

PURPOSE

Given the increasing prevalence of autism spectrum disorder (ASD) and the public health problems it creates; early identification and interventions are needed to improve the prognosis of ASD. Hence, this study surveyed different groups of people who are likely to have early contact with autistic children to provide an informed basis for early detection and effective diagnosis and interventions.

METHODS

Three groups of people were recruited for the study from Changshou District and Wushan County of Chongqing, in Western China: 269 medical workers, 181 educators, and 188 community residents. Their understanding and knowledge of autism was measured using a self-made questionnaire.

RESULTS

The positive finding was that the three groups had a certain level of understanding of autism, but they had some misunderstandings of the core problems, and there were significant differences in the understanding of autism among the three groups. Younger medical workers knew more about autism than older ones did. The ability of educators and community residents to identify autistic symptoms was positively related to their level of education and their experience with autistic children. Television and the internet were the main sources of information about autism for participants.

CONCLUSIONS

The medical workers, educators, and community residents in the investigated areas in western China may be able to identify early signs of autism but have an inadequate understanding of autism. In areas far from cities, it is necessary to strengthen the training of medical workers in primary health care to promote autism screening and referral in educational institutions and communities. Using internet technology to provide public education and professional training about autism in remote areas could be a very promising method in Western China.

The intervention dilemma and high burden of children with autism in Guizhou province, Southwest China

BACKGROUND

Autism spectrum disorder (ASD) is a highly disabling neurodevelopmental disorder, and the burden is high. Data on the burden of ASD are limited in China, especially in the southwest. Therefore, the aims of this study were to investigate the intervention status and burden of children with ASD in Southwest China.

MATERIALS AND METHODS

Families of children with ASD were recruited from hospitals, special education schools, and private rehabilitation centers; they participated in the survey and completed the questionnaire. Descriptive analysis was conducted on the questionnaire results, which included basic demographic characteristics, rehabilitation status, and burden. Multivariate analysis was used to analyze the association of basic family demographic characteristics, rehabilitation status, and costs of ASD.

RESULTS

A total of 231 families of children with ASD participated in this survey, and 78.35% (181/231) of the children with ASD were male. The mean age was 4.34 ± 2.09 years. A total of 55.84% (129/231) of the children with ASD had an intellectual disability. Only 46.32% (107/231) started receiving intervention within 1 month after diagnosis. The institutions for rehabilitation interventions for children with ASD were mainly tertiary hospitals (39.39%), special education schools (29.87%) and private rehabilitation institutions (21.64%). For a total of 42.86% (99/231) of the children with ASD, the duration of the intervention was less than 10 h per week. A total of 74.89% (173/231) of the children with ASD received a rehabilitation intervention at home. A total of 66.67% of the parents were satisfied with the treatment. The monthly cost of medical intervention for the patients of children with autism was 7,225 ± 474 RMB ($1,134 ± 74), and the non-medical intervention cost was 2,133 ± 107 RMB ($334 ± 17). The annual burden of patients with autism was 86,700 ± 5,688 RMB ($13,596 ± 892). The estimated total annual burden of ASD was 5.548 billion RMB ($870 million) in Guizhou province.

CONCLUSION

The results revealed that rehabilitation resources are limited and that the burden of ASD is high in Guizhou province; therefore, improving the rehabilitation status and easing the burden of children with ASD is urgent in these regions.

Validation of the Modified Checklist for Autism in Toddlers, Revised with Follow-up in a Population Sample of 30-Month-Old Children in Iceland: A Prospective Approach

The Modified Checklist for Autism in Toddlers, Revised with Follow-up was validated on a population sample in Reykjavik, Iceland. The participants (N = 1585) were screened in well-child care at age 30 months and followed up for at least 2 years to identify autism cases. The sensitivity, specificity, positive and negative predictive values were 0.62, 0.99, 0.72, and 0.99, respectively. True-positive children were diagnosed 10 months earlier than false-negative children. Autism symptom severity and the proportions of children with verbal and performance IQs/DQs < 70 were similar between groups. Although the sensitivity was suboptimal, the screening contributed to lowering the age at diagnosis for many children. Adding autism-specific screening to the well-child care program should be considered.

Application of Telemedicine for Preliminary Screening of Autism Spectrum Disorder

OBJECTIVE

Preliminary screening for autism spectrum disorder (ASD) is mainly performed offline in China. This method is time consuming, labor intensive, inefficient and costly. These complications limit its routine implementation in some hospitals and child health institutions, especially community health service centers. Thus, the present study explored the clinical applicability of an online screening system for ASD detection based on telemedicine technology.

METHODS

The online screening system designed based on the WeChat platform and section A of the Chinese-validated version of the checklist for autism in toddlers (CHAT-23-A) and combined with an independent Research and Development (R&D) program. The sensitivity and specificity were 0.92 and 0.90, respectively, and the area under the receiver operating characteristic curve (AUC) values for all 23 items and 7 key items were 0.934 and 0.91, respectively.

RESULTS

The online screening system based on telemedicine technology was not limited by time, space, region, or medical resources and showed high sensitivity, specificity, and diagnostic efficiency for ASD.

CONCLUSION

The online screening system based on telemedicine technology is suitable for large-scale population ASD screening in childcare institutions.

Urgency in Improving Child Health Care Workers' Awareness and Knowledge of ASD: Findings From a Cross-Sectional Study in Southwest China

Objective: To evaluate the levels of awareness and knowledge of ASD among child health care workers in China, we conducted a cross-sectional, questionnaire-based study to assess the participants' awareness and knowledge of ASD. Methods: A total of 159 child health care workers from Southwest China participated in the survey and filled out the questionnaire.Descriptive analysis was conducted on the five parts of the questionnaire, including general knowledge, symptomology, screening and diagnosis, and intervention and treatment. Univariate analysis was used to assess impacts of the participants' basic demographic characteristics on the questionnaire scores. Multivariate analysis was used to analyze association of the participants' basic demographic characteristics and the questionnaire scores. Results: Less than 15% of the participants knew that ASD is a developmental, congenital and genetic disorder. Few participants knew that the symptoms include language disorder (38.4%) and social dysfunction (29.6%). A minority of the participants knew the diagnostic criteria (22.6%) and the age for early screening (14.5%). A total of 23.9% of the participants agreed that there are no effective drugs to treat ASD, and 6.3% agreed that ASD is incurable. A number of years in practice of ≥10 (OR = 0.3249, 95% CI: 0.1080-0.9189) was the main factor related to a high questionnaire score. Conclusions: Most participants had relatively low levels of awareness and knowledge of ASD, especially in terms of general knowledge as well as knowledge of intervention and treatment. Working for more than 10 years was a significant predictor of higher levels of awareness and knowledge of ASD. ASD-related training and knowledge dissemination are crucial for the early diagnosis and intervention of ASD. Child health care workers' awareness and knowledge of ASD needs to be improved to help build public awareness about ASD.

A Pilot Investigation of the Social Attention and Communication Surveillance (SACS) Tool for the Early Identification of Autism in Tianjin, China (SACS-C)

Introduction: Autism spectrum disorder (ASD) comprises difficulties in social communication and restrictive and repetitive behaviors. Despite an increased global prevalence, little remains known about early detection and diagnosis of autism in Mainland China. Our aim was to conduct a pilot investigation of the implementation of an Australian tool, Social Attention and Communication Surveillance (SACS), in Tianjin, China (SACS-C) by trained professionals to identify autism early compared to the Checklist for Autism in Toddlers-23 (CHAT-23) completed by parents and professionals. Materials and Methods: A total of 10,514 children were monitored across 61 Community Health Service Centres in six Tianjin districts on the SACS-C at 12, 18, and 24 months of age following a half-day training of 225 child health practitioners. Children deemed at "high likelihood" for autism on either the SACS, CHAT-23, or both, were referred for developmental assessments at the Tianjin Women and Children's Health Centre (TWCHC). Results: A total of 87 children (0.8%) were identified at "high likelihood" on the SACS-C, of whom 57 (66%) were assessed for autism; 24 children were subsequently diagnosed with autism (42.1%), and the remaining 33 (57.9%) were diagnosed with developmental and/or language delays. The SACS-C had a positive predictive value (PPV) of 42.1%, a negative predictive value (NPV) of 99.8%, and sensitivity and specificity of 53.3 and 99.7%, respectively. Only 21 children were identified at "high risk" for autism on the CHAT-23 (0.2%), over four times fewer children than the SACS-C, with 14 children assessed for autism (66%); nine were diagnosed with autism (64.3%) and the remaining five children were diagnosed with developmental and/or language delays. The CHAT-23 had an overall PPV of 64.3%, NPV of 99.6%, sensitivity of 27.3%, and specificity of 99.9%. Conclusion: This was the first large-scale study identifying autism in 12-24-month-old children in China. We ascertained the feasibility of training community health practitioners to monitor infants and toddlers for the early signs of autism, and determined the effectiveness of their use of SACS-C which had a better balance between accuracy and sensitivity in detecting autism in contrast to the CHAT-23 which missed the majority of children with autism (72.7%) vs. the SACS-C (46.7%). Given the emphasis on identifying as many children with autism as possible in Mainland China, SACS-C was identified as the tool of choice by the TWCHC. However, more work is needed to improve the psychometric properties in using the SACS-C in Mainland China so that it is comparable to its use in Australia.

A systematic review of screening tools for the detection of autism spectrum disorder in mainland China and surrounding regions

Screening for autism spectrum disorder is the first step toward early detection and diagnosis, thereby impacting the likelihood of children accessing early intervention and, importantly, improving long-term outcomes. This systematic review aimed to (a) establish a clear baseline of autism spectrum disorder screening tools currently used throughout mainland China and surrounding regions, (b) identify the strengths and limitations of these instruments, and (c) develop specific recommendations regarding screening for autism spectrum disorder throughout Chinese-speaking countries. Databases were searched for recent (2015-2018) articles published in Chinese or English languages. Twenty-two studies (13 Chinese, 9 English) met inclusion criteria; two from Taiwan and the remainder from mainland China. Studies varied greatly in the extent of psychometric analyses and reported autism spectrum disorder prevalence. The majority of diagnoses were based on Diagnostic and Statistical Manual of Mental Disorders (4th ed. (DSM-IV) or 5th ed. (DSM-5)) criteria, although a small number of studies utilized gold-standard diagnostic assessment instruments. It is recommended that a systematic, multi-tiered, screening network be established to improve the identification of autism spectrum disorder in China and surrounding regions. Assessment and diagnosis need to be culturally appropriate, and amenable to low-resource settings. In addition, increased public awareness programs to reduce stigma will be important in improving outcomes for children with autism spectrum disorder.