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Reliability and Validity of a New Comprehensive Tool for Assessing Challenging Behaviors in Autism Spectrum Disorder.

ABSTRACT: Objective:The purpose of this study was to examine the validity and reliability of the Korean Comprehensive Scale for the Assessment of Challenging Behavior in Developmental Disorders (K-CSCB). Methods:In total, the parents of 189 patients with autism spectrum disorder (ASD) and 168 controls completed the K-CSCB, the Behavior Problems Inventory (BPI) and Child Behavior Checklist (CBCL). The reliability and validity of the K-CSCB was investigated. Results:The K-CSCB was found to be a reliable instrument (Cronbach's ?=0.97). There was a significant difference between the ASD and control groups in all subscale scores. Scores on the K-CSCB subscales were significantly correlated with those on the BPI and CBCL. The diagnostic validity was 97.7%, and the cut-off score with the highest sensitivity and specificity was 12.5 points. Conclusion:The K-CSCB is the first tool in Korean to assess problematic behavior in individuals with ASD, and this study shows that it is a valid and reliable instrument. We expect the K-CSCB to be widely used in clinical and research settings.

SUBMITTER: Kim JI

PROVIDER: S-EPMC5795031 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Reliability and Validity of a New Comprehensive Tool for Assessing Challenging Behaviors in Autism Spectrum Disorder.

Kim Johanna Inhyang JI Shin Min-Sup MS Lee Youngsun Y Lee Hyojung H Yoo Hee Jeong HJ Kim Soo-Yeon SY Kim Hyewon H Kim Soo-Jin SJ Kim Bung-Nyun BN

Psychiatry investigation 20180116 1

<h4>Objective</h4>The purpose of this study was to examine the validity and reliability of the Korean Comprehensive Scale for the Assessment of Challenging Behavior in Developmental Disorders (K-CSCB).<h4>Methods</h4>In total, the parents of 189 patients with autism spectrum disorder (ASD) and 168 controls completed the K-CSCB, the Behavior Problems Inventory (BPI) and Child Behavior Checklist (CBCL). The reliability and validity of the K-CSCB was investigated.<h4>Results</h4>The K-CSCB was foun ...[more]

PMID: 29422926

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Project description:BackgroundAlmost all children with autism spectrum disorder (ASD) have experienced challenging behavior, including disruptive and aggressive behavior symptoms to both themselves and others. In conjunction with appropriate strategic parenting, challenging behavior can be prevented by empowering children's sociality and optimizing their environment. However, a means of measuring such parenting has yet to appear. This study developed the Parental Self-Efficacy Scale for Preventing Challenging Behaviors in Children with Autism Spectrum Disorder (PASEC) and evaluated its reliability and validity.MethodSelf-administered questionnaires were distributed to 1,344 parents of children with ASD at all 521 child development support centers in Japan. Confirmed construct validity of the PASEC was determined using confirmatory factor analysis. Internal consistency of the PASEC was calculated using Cronbach's alpha. The self-efficacy subscale of the Parenting Sense of Competence (PSOC) was administered to assess criterion-related validity of the PASEC.ResultsIn total, 260 parents provided valid responses. Exploratory and confirmatory factor analyses identified six items from two factors: empowerment of children's sociality and optimization of children's environment. The final model showed goodness-of-fit index, 0.981; adjusted goodness-of-fit index, 0.944; comparative fit index, 0.999; and root mean square error of approximation, 0.019. Cronbach's alpha for the entire PASEC was 0.82; that for each factor was above 0.70. The correlation coefficient between the self-efficacy subscale of the PSOC and the entire PASEC was r = 0.52 (P <0.001).ConclusionsThe PASEC demonstrated adequate reliability and validity to assess parents' self-efficacy for preventing challenging behavior for children with ASD. That scale can help prevent challenging behavior; it can contribute to improving the mental health of parents and children with ASD as well as to primary prevention of child maltreatment and abuse.

Project description:Population-level identification of children and youth with ASD is essential for surveillance and planning for required services. The objective of this study was to develop and validate an algorithm for the identification of children and youth with ASD using administrative health data. In this retrospective validation study, we linked an electronic medical record (EMR)-based reference standard, consisting 10,000 individuals aged 1-24 years, including 112 confirmed ASD cases to Ontario administrative health data, for the testing of multiple case-finding algorithms. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and corresponding 95% confidence intervals (CI) were calculated for each algorithm. The optimal algorithm was validated in three external cohorts representing family practice, education, and specialized clinical settings. The optimal algorithm included an ASD diagnostic code for a single hospital discharge or emergency department visit or outpatient surgery, or three ASD physician billing codes in 3 years. This algorithm's sensitivity was 50.0% (95%CI 40.7-88.7%), specificity 99.6% (99.4-99.7), PPV 56.6% (46.8-66.3), and NPV 99.4% (99.3-99.6). The results of this study illustrate limitations and need for cautious interpretation when using administrative health data alone for the identification of children and youth with ASD. LAY SUMMARY: We tested algorithms (set of rules) to identify young people with ASD using routinely collected administrative health data. Even the best algorithm misses more than half of those in Ontario with ASD. To understand this better, we tested how well the algorithm worked in different settings (family practice, education, and specialized clinics). The identification of individuals with ASD at a population level is essential for planning for support services and the allocation of resources. Autism Res 2021, 14: 1037-1045. © 2021 The Authors. Autism Research published by International Society for Autism Research published by Wiley Periodicals LLC.

Project description:Deficits in responding to joint attention (RJA) are early symptoms of autism spectrum disorder (ASD). Currently, no automated tools exist for identifying and quantifying RJA behaviors. A few eye tracking studies have investigated RJA in ASD children but have produced conflicting results. In addition, little is known about the trajectory of RJA development through developmental age. Here, a new video was designed including 12 clips of an actor pointing to or looking at an object. Eye tracking technology was used to monitor RJA in three groups: 143 ASD children assessed with the Autism Diagnostic Interview-Revised (ADI-R) and the Autism Diagnostic Observation Schedule (ADOS) (4-7 years old), 113 age- and gender-matched typically developing children (TDC), and 43 typically developing adults (TDA) (19-32 years old). RJAfinder was developed in R and MATLAB to quantify RJA events from the eye tracking data. RJA events were compared among the three groups. Spearman correlation coefficients between total number of RJA events in ASD and the Social Responsiveness Scale (SRS) scores were calculated. A logistic regression model was built using the average valid sampling rate and the total number of RJA events as two predictive variables to classify ASD and TDC groups. ASD children displayed statistically significantly less RJA events than the TDC and TDA groups with medium-to-large-sized effects. ASD and TDC children both displayed more RJA events in response to pointing stimuli than to looking stimuli. Our logistic regression model predicted ASD tendency with 0.76 accuracy in the testing set. RJA ability improved more slowly between the ages of 4-7 years old in the ASD group than in the TDC group. In ASD children, RJA ability showed negative correlation with SRS total T-score as well as the scores of five subdomains. Our study provides an automated tool for quantifying RJA and insights for the study of RJA in ASD children, which may help improve ASD screening, subtyping, and behavior interventions.

Dataset Information

Reliability and Validity of a New Comprehensive Tool for Assessing Challenging Behaviors in Autism Spectrum Disorder.

Publications

Reliability and Validity of a New Comprehensive Tool for Assessing Challenging Behaviors in Autism Spectrum Disorder.

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