Manuel Heinrich

Screening tools for autism spectrum disorders

Purpose – Diagnosing autism spectrum disorder (ASD) is important over the whole life span. Standardized instruments may support the assessment process. The purpose of this paper is to describe English- and German-screening tools for ASD. Design/methodology/approach – PubMed was used to search for published tools and evidence on their diagnostic validity. Findings – Searches identified 46 screening tools for ASD. Most are designed for children, while only few measures are available for adults, especially those with additional intellectual disabilities. Many instruments are under-researched, although a small number such as the Modified Checklist for Autism in Toddlers and the SCQ have been widely examined in a variety of populations. Originality/value – The study identified and described a number of ASD screeners that can support clinicians or researchers when deciding whether to carry out a more comprehensive ASD assessment.

Music-based Autism Diagnostics (MUSAD) – A newly developed diagnostic measure for adults with intellectual developmental disabilities suspected of autism

UNLABELLED The MUSAD was developed as a diagnostic observational instrument in an interactional music framework. It is based on the ICD-10/DSM-5 criteria for autism spectrum disorder (ASD) and was designed to assess adults on a lower level of functioning, including individuals with severe language impairments. This study aimed to evaluate the psychometric properties of the newly developed instrument. METHODS Calculations were based on a consecutive clinical sample of N=76 adults with intellectual and developmental disabilities (IDD) suspected of ASD. Objectivity, test-retest reliability, and construct validity were calculated and a confirmatory factor analysis was applied to verify a reduced and optimized test version. RESULTS The structural model showed a good fit, while internal consistency of the subscales was excellent (ω>.92). Item difficulties ranged between .04≤pi≤.82 and item-total correlation from .21 to .85. Objectivity was assessed by comparing the scorings of two external raters based on a subsample of n=12; interrater agreement was .71 (ICC 2, 1). Reliability was calculated for four test repetitions: the average ICC (3, 1) was .69. Convergent ASD measures correlated significantly with the MUSAD, while the discriminant Modified Overt Aggression Scale (MOAS) showed no significant overlap. CONCLUSION Confirmation of factorial structure and acceptable psychometric properties suggest that the MUSAD is a promising new instrument for diagnosing ASD in adults with IDD.

Conflict-related trauma and bereavement: exploring differential symptom profiles of prolonged grief and posttraumatic stress disorder

BackgroundExposure to trauma and bereavement is common in conflict-affected regions. Previous research suggests considerable heterogeneity in responses to trauma and loss with varying symptom representations. The purpose of the current study was to (1) identify classes of prolonged grief disorder (PGD) and posttraumatic stress disorder (PTSD) symptom profiles among individuals who were exposed to both trauma and loss due to the Colombian armed conflict and (2) to examine whether sociodemographic, loss and trauma-related characteristics could predict class membership.MethodsThree hundred eight victims of internal displacement who had experienced trauma and loss were assessed through measures of PGD (PG-13), PTSD (PCL-C), and social support (DUKE-UNC). Latent class analysis (LCA) was performed to analyze differential profiles by symptoms of PGD and PTSD and multinomial logistic regression was used to analyze predictors of class membership.ResultsLCA revealed a four-class solution: a resilient class (23.6%), a PTSD-class (23.3%), a predominately PGD class (25.3%) and a high distress-class with overall high values of PGD and PTSD (27.8%). Relative to the resilient class, membership to the PGD class was predicted by the loss of a close family member and the exposure to a higher number of assaultive traumatic events, whereas membership to the PTSD class was predicted by the perception of less social support. Compared to the resilient class, participants in the high distress-class were more likely to be female, to have lost a close relative, experienced more accidental and assaultive traumatic events, and perceived less social support.DiscussionSpecific symptom profiles emerged following exposure to trauma and loss within the context of the Colombian armed conflict. Profiles were associated with distinct types of traumatic experiences, the degree of closeness to the person lost, the amount of social support perceived, and gender. The results have implications for identifying distressed subgroups and informing interventions in accordance with the patient’s symptom profile.

Cross-Cultural Validity of the Social Communication Questionnaire for Adults with Intellectual Developmental Disorder

Diagnosing Autism Spectrum Disorders (ASD) is important throughout the lifespan. The objective was to investigate the transcultural diagnostic validity of the Social Communication Questionnaire (SCQ) in a clinical sample of 451 adults with Intellectual Developmental Disorder (IDD) with and without ASD in Germany, the U.S.A. and Great Britain. Variables associated with higher SCQ sum-scores were higher levels of IDD, male gender, a diagnosis of ASD and the study site (Germany > U.S.A > G.B.). An ROC analysis revealed a cut-score of 13, which resulted in a sensitivity of 0.87 and a specificity of 0.58. It is recommended to adjust the cut-score according to level of IDD and gender. Further research is needed to align diagnostic assignment of ASD across different sites and countries.

Screening for ASD in adults with ID—moving toward a standard using the DiBAS-R and the ACL

BACKGROUND Identification of Autism Spectrum Disorder (ASD) in persons with intellectual disability (ID) is challenging but essential to allow adequate treatment to be given. This study examines whether the combination of two ASD screening instruments specifically developed for persons with ID, namely, the Diagnostic Behavioral Assessment for ASD-Revised (DiBAS-R) and the Autism Checklist (ACL), improves diagnostic accuracy when used in combination compared to the application of the single instrument. METHOD A clinical sample of adults with ID who are suspected of having ASD (N =148) was assessed using two ID specific screening scales (DiBAS-R and ACL). The diagnostic validity of the single instruments and of their combination was assessed. RESULTS While both instruments showed acceptable diagnostic validity when applied alone (DiBAS-R/ACL: sensitivity: 75%/91%; specificity: 75%/75%; overall agreement: 75%/83%), specificity increased when two positive screening results were used (88%), and sensitivity increased (95%) when at least one positive screening result was used. CONCLUSIONS Different combinations of the ASD screening instruments DiBAS-R and ACL lead to improvements in sensitivity and specificity. The complementary use of the ACL in addition to the sole use of the DiBAS-R improves overall accuracy.Background: Identification of Autism Spectrum Disorder (ASD) in persons with intellectual disability (ID) is challenging but essential to allow adequate treatment to be given. This study examines whether the combination of two ASD screening instruments specifically developed for persons with ID, namely, the Diagnostic Behavioral Assessment for ASD-Revised (DiBAS-R) and the Autism Checklist (ACL), improves diagnostic accuracy when used in combination compared to the application of the single instrument. Method: A clinical sample of adults with ID who are suspected of having ASD (N =148) was assessed using two ID specific screening scales (DiBAS-R and ACL). The diagnostic validity of the single instruments and of their combination was assessed. Results: While both instruments showed acceptable diagnostic validity when applied alone (DiBAS-R/ACL: sensitivity: 75%/91%; specificity: 75%/75%; overall agreement: 75%/83%), specificity increased when two positive screening results were used (88%), and sensitivity increased (95%) when at least one positive screening result was used. Conclusions: Different combinations of the ASD screening instruments DiBAS-R and ACL lead to improvements in sensitivity and specificity. The complementary use of the ACL in addition to the sole use of the DiBAS-R improves overall accuracy.

Benefits of Individualized Feedback in Internet-Based Interventions for Depression: A Randomized Controlled Trial

Background: Even though there is an increasing number of studies on the efficacy of Internet-based interventions (IBI) for depression, experimental trials on the benefits of added guidance by clinicians are scarce and inconsistent. This study compared the efficacy of semistandardized feedback provided by psychologists with fully standardized feedback in IBI. Methods: Participants with mild-to-moderate depression (n = 1,089, 66% female) from the client pool of a health insurance company participated in a cognitive-behavioral IBI targeting depression over 6 weeks. Individuals were randomized to weekly semistandardized e-mail feedback from psychologists (individual counseling; IC) or to automated, standardized feedback where a psychologist could be contacted on demand (CoD). The contents and tasks were identical across conditions. The primary outcome was depression; secondary outcomes included anxiety, rumination, and well-being. Outcomes were assessed before and after the intervention and 3, 6, and 12 months later. Changes in outcomes were evaluated using latent change score modeling. Results: Both interventions yielded large pre-post effects on depression (Beck Depression Inventory-II: dIC = 1.53, dCoD = 1.37; Patient Health Questionnaire-9: dIC = 1.20, dCoD = 1.04), as well as significant improvements of all other outcome measures. The effects remained significant after 3, 6, and 12 months. The groups differed with regard to attrition (IC: 17.3%, CoD: 25.8%, p = 0.001). Between-group effects were statistically nonsignificant across outcomes and measurement occasions. Conclusion: Adding semistandardized guidance in IBI for depression did not prove to be more effective than fully standardized feedback on primary and secondary outcomes, but it had positive effects on attrition.

The Social Communication Questionnaire for adults with intellectual disability: SCQ-AID

Autism spectrum disorder (ASD) frequently co‐occurs with intellectual disability (ID) and often remains undiagnosed until adulthood. The Social Communication Questionnaire (SCQ) is a widely used measure to screen for ASD. To improve the utility of the SCQ for adults with ID, the aim of this study was to develop an ID‐specific and adult appropriate algorithm for the SCQ using a core set of valid items. These items were identified in one sample (N = 226) and further cross‐validated in a second, independent sample (N = 225) from Germany, England and the U.S. The newly developed algorithm has 24 items compared with the 40 items in the original instrument. The reduced item core set yielded similar diagnostic validity as the original algorithm with good sensitivity values (0.81–0.89) and low specificity values (0.62–0.72). Overall, these results suggest that the removed items may not carry diagnostically relevant information in adults with ID; thus, excluding these items may result in a more efficient and age‐appropriate screening measure for this population. However, due to the low specificity values, a comprehensive assessment is essential for a final diagnostic assignment. Autism Res 2017, 10: 1481–1490.

Diagnosing Autism in Adults with Intellectual Disability: Validation of the DiBAS-R in an Independent Sample.

The study assessed the diagnostic validity of the diagnostic behavioral assessment for autism spectrum disorders-revised (DiBAS-R; 19-item screening scale based on ratings by caregivers) in a clinical sample of 381 adults with ID. Analysis revealed a sensitivity of 0.82 and a specificity of 0.67 in the overall sample (70.3% agreement). Sensitivity (0.79) and specificity (0.84) were balanced in individuals with mild to moderate ID (83.3% agreement), while specificity was lower in individuals with severe to profound ID (sensitivity: 0.83, specificity: 0.34, 51% agreement). The level of ID as well as its interaction with ASD explained a significant proportion of the variance in the DiBAS-R scores. The DiBAS-R is an adequate screening tool, especially in individuals with mild to moderate ID.

Demenz bei Down-Syndrom: Ein häufiger psychiatrischer Vorstellungsgrund

INTRODUCTION This study aimed to assess the prevalence and clinical characteristics of dementia in a clinical sample of adults with Down syndrome. Consequences for clinical practice were deduced. METHODS Patient characteristics and prevalence rates of dementia were evaluated in adults with Down syndrome who were admitted to psychiatry from 2005 to 2012 (N = 75). RESULTS In every third patient with Down syndrome, dementia was diagnosed in a second assessment 6 to 12 months after initial hospital admission. Patients with dementia were older and more often female, while no association was found with the level of intellectual disability. Thyroid function and calcium values were often abnormal in those with and without dementia. DISCUSSION In persons with Down syndrome, dementia is a prevalent cause for admission to psychiatry, especially in females and those of advanced age. Services should be adapted to the increased demands.

Giving G a Meaning: An Application of the Bifactor-(S-1) Approach to Realize a More Symptom-Oriented Modeling of the Beck Depression Inventory–II

The Beck Depression Inventory–II is one of the most frequently used scales to assess depressive burden. Despite many psychometric evaluations, its factor structure is still a topic of debate. An increasing number of articles using fully symmetrical bifactor models have been published recently. However, they all produce anomalous results, which lead to psychometric and interpretational difficulties. To avoid anomalous results, the bifactor-(S-1) approach has recently been proposed as alternative for fitting bifactor structures. The current article compares the applicability of fully symmetrical bifactor models and symptom-oriented bifactor-(S-1) and first-order confirmatory factor analysis models in a large clinical sample (N = 3,279) of adults. The results suggest that bifactor-(S-1) models are preferable when bifactor structures are of interest, since they reduce problematic results observed in fully symmetrical bifactor models and give the G factor an unambiguous meaning. Otherwise, symptom-oriented first-order confirmatory factor analysis models present a reasonable alternative.