The role of nurses in screening for autistic spectrum disorder in pediatric primary care

Investigating autism knowledge, self-efficacy, and confidence following maternal and child health nurse training for the early identification of autism

Introduction

Early identification of children with a high likelihood of autism can lead to referral for diagnostic services and access to early supports, resulting in improved outcomes for children and families. Maternal and Child Health Nurses (MCHNs) in Victoria, Australia, are well-placed to monitor infants and toddlers for signs of autism, given children and caregivers attend free, regular, well-baby consultations from birth through to school age. This study aimed to identify the impact of personal and workplace factors on MCHNs' competencies of autism knowledge, self-efficacy in identifying autistic infants and toddlers, and confidence in speaking to parents/caregivers about autism. Additionally, the study sought to identify which personal and workplace factors might predict increased competency in these areas.

Methods

After identifying training needs and current competency levels via a training needs analysis (TNA), 1,428 MCHNs received training on the early signs of autism and in the use of the Social Attention and Communication Surveillance-Revised (SACS-R) tool for early autism identification; the training program was known as Monitoring of Social Attention, Interaction, and Communication (MoSAIC).

Results

Previous MCHN autism training and knowledge of autism community resources significantly contributed to increased MCHN self-efficacy in identifying autistic infants and toddlers, while knowledge of community resources was the best predictor of confidence in speaking with parents/caregivers about autism. Perceived self-efficacy and confidence in speaking with parents/caregivers about autism significantly increased following the MoSAIC autism training.

Discussion

Targeted autism training for primary health practitioners is an important first step for early autism identification and initiating conversations with parents/caregivers.

Development, delivery, and evaluation of a training program for the early identification of autism: Monitoring of Social Attention, Interaction, and Communication

Introduction

Early identification of Autistic children is an important precursor to diagnosis, and access to supports and services. Here we describe the training of the maternal and child health (MCH) workforce in the state of Victoria, Australia in the early identification of infants and toddlers with a high likelihood of autism.

Methods

In 2019, 1,428 MCH nurses completed early autism training held at venues across the state, with an additional 82 nurses completing online-only training. A training needs analysis enabled the research team to determine the workforce's current skill and knowledge levels, and to identify knowledge gaps, training needs and workplace barriers. The professional development program, known as Monitoring of Social Attention, Interaction, and Communication (MoSAIC), comprised: online pre-workshop modules; a face-to-face instructor-led workshop, which included the use of the Social Attention and Communication-Revised (SACS-R) tool; and online post-workshop modules, which included a recording of a face-to-face workshop with all accompanying resources. This was the first time that the MCH workforce received this training package. Attendees were asked to complete a training satisfaction survey immediately following the face-to-face instructor-led workshop and a follow-up survey regarding their autism knowledge and SACS-R implementation 4-6 weeks after the workshop.

Results

Over 90% (n = 325) of MCH nurses who completed the training satisfaction survey agreed or strongly agreed with statements that the training was clear and of high quality. Most nurses also reported that the training was well-presented and that they would recommend it to a colleague. In the 6 months following the training, a total of 82,581 SACS-R assessments were conducted by the MCH workforce, reflecting that MCH nurses had successfully integrated SACS-R assessments into their work practice after receiving the early autism identification training.

Discussion

This study demonstrated that training on the early identification of autism can be successfully designed, customized, and delivered to a large primary healthcare workforce for universal developmental surveillance of autism.

Comparison of classification algorithms for predicting autistic spectrum disorder using WEKA modeler

BACKGROUND

In healthcare area, big data, if integrated with machine learning, enables health practitioners to predict the result of a disorder or disease more accurately. In Autistic Spectrum Disorder (ASD), it is important to screen the patients to enable them to undergo proper treatments as early as possible. However, difficulties may arise in predicting ASD occurrences accurately, mainly caused by human errors. Data mining, if embedded into health screening practice, can help to overcome the difficulties. This study attempts to evaluate the performance of six best classifiers, taken from existing works, at analysing ASD screening training dataset.

RESULT

We tested Naive Bayes, Logistic Regression, KNN, J48, Random Forest, SVM, and Deep Neural Network algorithms to ASD screening dataset and compared the classifiers' based on significant parameters; sensitivity, specificity, accuracy, receiver operating characteristic, area under the curve, and runtime, in predicting ASD occurrences. We also found that most of previous studies focused on classifying health-related dataset while ignoring the missing values which may contribute to significant impacts to the classification result which in turn may impact the life of the patients. Thus, we addressed the missing values by implementing imputation method where they are replaced with the mean of the available records found in the dataset.

CONCLUSION

We found that J48 produced promising results as compared to other classifiers when tested in both circumstances, with and without missing values. Our findings also suggested that SVM does not necessarily perform well for small and simple datasets. The outcome is hoped to assist health practitioners in making accurate diagnosis of ASD occurrences in patients.

Knowledge about childhood autism among nurses in Turkey: A cross-sectional descriptive study

PURPOSE

The aim of this study was to determine the level of knowledge that nurses possess about childhood autism.

DESIGN AND METHODS

This cross-sectional descriptive study was conducted among 278 nurses. A personal information form, which was created by the present researchers, and Knowledge about Childhood Autism among Health Workers questionnaire were used to collect data.

FINDINGS

The mean knowledge level was 12.29 ± 3.19. There was a significant difference in total scale scores as a function of participation in a training program on childhood autism and acquaintance with a person with autism.

PRACTICE IMPLICATIONS

Nurses play an important role in the early diagnosis of childhood autism. Therefore, they should be educated about childhood autism.

Approaches to enhancing the early detection of autism spectrum disorders: a systematic review of the literature

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.

Developmental surveillance of infants and toddlers by maternal and child health nurses in an Australian community-based setting: promoting the early identification of autism spectrum disorders

Although signs of autism spectrum disorders (ASDs) are evident during the first year of life, few children are diagnosed prior to 3 years. The objective in this article is to highlight the role that primary health care professionals can play in the early identification of ASDs by briefly outlining the successful implementation of The Social Attention and Communication Study. Maternal and child health nurses were trained on the early signs of ASDs, which enabled them to identify these children prior to 2 years. The training procedure used will be outlined, and the early signs that were monitored will be explained in detail. It is recommended that routine monitoring for ASDs in infancy and toddlerhood become standard practice among all primary health care professionals.

Advances in the early detection of autism

PURPOSE OF REVIEW

Early detection and diagnosis of autism spectrum disorders (ASDs) allows opportunities for children and their families to benefit more fully from early supports and interventions.

RECENT FINDINGS

Recent advances in early detection research have resulted from prospective studies of high-risk infants and large ASD screening studies conducted in community settings. With improvement in early detection of autism, exciting progress has been made in establishing the efficacy of ASD-specific interventions for toddlers as young as 18 months on the basis of controlled clinical trials.

SUMMARY

There has been increasing emphasis on opportunities to link early behavioral expression to the underlying neurobiology of ASD, potentially bringing us closer to the fundamental mechanisms underlying this disorder.

Prospective identification of autism spectrum disorders in infancy and toddlerhood using developmental surveillance: the social attention and communication study

OBJECTIVE

Despite behavioral markers of autism spectrum disorders (ASDs) being evident within the first year of life, there remains little research on the prospective identification of these children in a community-based setting before 18 months. The aim in the Social Attention and Communication Study was to identify infants and toddlers at risk of an ASD during their first 2 years.

METHODS

A total of 241 Maternal and Child Health nurses were trained on the early signs of ASDs at 8, 12, 18 and 24 months. Using a developmental surveillance approach with a community-based sample, a cohort of 20,770 children was monitored on early social attention and communication behaviors. Those infants/toddlers identified as "at risk" were referred to the Social Attention and Communication Study team from 12 months for developmental and diagnostic assessments at 6 monthly intervals, until 24 months.

RESULTS

A total of 216 children were referred, with 110 being further assessed. Of these, 89 children were classified with an ASD at 24 months, and 20 children had developmental and/or language delays, resulting in a Positive Predictive value of 81%. The estimated rate of ASDs in the Social Attention and Communication Study cohort ranged from 1:119 to 1:233 children. Estimated sensitivity ranged from 69% to 83.8%, and estimated specificity ranged from 99.8% to 99.9%.

CONCLUSION

Developmental surveillance of social and communication behaviors, which differ according to the age at which the child is monitored, enables the accurate identification of children at risk for ASDs between 12 and 24 months. Education on the early signs is recommended for all primary health care professionals to facilitate early identification of ASDs.

Clinical assessment and management of toddlers with suspected autism spectrum disorder: insights from studies of high-risk infants

With increased public awareness of the early signs and recent American Academy of Pediatrics recommendations that all 18- and 24-month-olds be screened for autism spectrum disorders, there is an increasing need for diagnostic assessment of very young children. However, unique challenges exist in applying current diagnostic guidelines for autism spectrum disorders to children under the age of 2 years. In this article, we address challenges related to early detection, diagnosis, and treatment of autism spectrum disorders in this age group. We provide a comprehensive review of findings from recent studies on the early development of children with autism spectrum disorders, summarizing current knowledge on early signs of autism spectrum disorders, the screening properties of early detection tools, and current best practice for diagnostic assessment of autism spectrum disorders before 2 years of age. We also outline principles of effective intervention for children under the age of 2 with suspected/confirmed autism spectrum disorders. It is hoped that ongoing studies will provide an even stronger foundation for evidence-based diagnostic and intervention approaches for this critically important age group.

Screening strategies for autism spectrum disorders in pediatric primary care

BACKGROUND

Two strategies have been proposed for early identification of children with autism spectrum disorders (ASD): (1) using a general screening tool followed by an ASD-specific screening tool for those who screen positive on the former or (2) using an ASD-specific tool for all children. The relative yield of these two strategies has not been examined.

OBJECTIVES

This study compared the number of children identified at risk for ASD at their well child visits between the ages of 18 and 30 months using a general developmental screening tool and an autism-specific screening tool.

METHODS

The Parents' Evaluation of Developmental Status (PEDS) was used as the general developmental screening tool and the Modified Checklist for Autism in Toddlers (M-CHAT) was used as the autism-specific tool. These tools were administered concurrently to 152 children.

RESULTS

Cross tabulations and chi tests were used to determine the utility of the PEDS as the first step of a two-part screen for ASD. Of those who screened positive for developmental concerns on the PEDS (n = 38), 16% screened positive for ASD on the M-CHAT; of those who did not screen positive for developmental concerns on the PEDS (n = 114), 14% screened positive for ASD on the M-CHAT (p = .79).

CONCLUSION

The PEDS missed the majority of children who screened positive for ASD on the M-CHAT, suggesting that these two tools tap into very different domains of developmental concerns. The findings support the use of an ASD-specific tool for all children in conjunction with regular standardized developmental screening.