Ajidd-American Journal on Intellectual and Developmental Disabilities最新文献

Measurement invariance (MI) is a psychometric property of an instrument indicating the degree to which scores from an instrument are comparable across groups. In recent years, there has been a marked uptick in publications using MI in intellectual and developmental disability (IDD) samples. Our goal here is to provide an overview of why MI is important to IDD researchers and to describe some challenges to evaluating it, with an eye towards nudging our subfield into a more thoughtful and measured interpretation of studies using MI.

Individuals with intellectual and developmental disabilities (IDD) continue to experience disparities in health and well-being despite improved provisions of person-centered care. Patient-centered outcomes research (PCOR) translates evidence into practice for meaningful outcomes. This piece describes findings from an environmental scan and stakeholder outreach to identify and prioritize opportunities to enhance IDD PCOR data infrastructure. These opportunities include developing a standardized research definition; advancing data standards for service systems; improving capture of IDD at point of care; developing standardized outcome measures; and encouraging Medicaid data use for IDD research. Within this piece, we discuss the implications of addressing data gaps for enhanced research. While the identified activities provide a path towards advancing IDD PCOR data infrastructure, collaborative efforts between government, researchers, and others are paramount.

The present study aims to understand and describe family caregivers' perceptions and experiences regarding contact and relationships with their adult relatives with intellectual and developmental disabilities (IDD) living in supported accommodation during the COVID-19 lockdown. A qualitative phenomenological approach was applied in which 19 Israeli family caregivers (parents and siblings) were interviewed. Inductive thematic analysis revealed themes at the microsystem level (the resident, the caregiver, and their relationship), and at the mesosystem level (the caregivers' interactions with service providers and other residents' families). The findings highlight the pivotal role of family caregivers in times of uncertainty and the need to develop explicit policies and mechanisms to facilitate family engagement in the residents' lives.

Loss of function variants in the Cyclin-dependent kinase-like 5 gene (CDKL5) causes CDKL5 deficiency disorder (CDD). Most cases of CDD are due to a de novo missense or truncating variants. The CDKL5 gene was discovered in 1998 as part of the genomic mapping of the chromosome Xp22 region that led to the discovery of the serine-threonine kinases STK9. Since then, there have been significant advancements in the description of the disease in humans, the understanding of the pathophysiology, and the management of the disease. There have been many lessons learned since the initial description of the condition in humans in 2003. In this article, we will focus on pathophysiology, clinical manifestations, with particular focus on seizures because of its relevance to the medical practitioners and researchers and guidelines for management. We finalize the manuscript with the voice of the parents and caregivers, as discussed with the 2019 meeting with the Food and Drug Administration.

Diagnostic overshadowing is a bias in which symptoms of a psychological disorder are falsely attributed to a known diagnosis of intellectual disability. This systematic review evaluated all research on diagnostic overshadowing conducted to date, including dissertations and peer-reviewed journal articles. In total, 25 studies were included in this review. Findings suggest diagnostic overshadowing may not be as ubiquitous as originally believed, with one third of included studies finding no overshadowing. The quality of the evidence was graded as "Low" using the LEGEND tool, with common issues including outdated studies, analogue methodologies, small sample sizes and convenience samples, and inappropriate conducting or reporting of statistical analyses. Implications for the field and recommendations for future research are discussed.

Individuals with fragile X syndrome (FXS) and their parents have a range of experiences navigating the crucial transition period between adolescence and adulthood. Semistructured interviews of 47 mothers of adolescents with FXS (mean child age = 15.89 years) were analyzed to identify mothers' changing expectations during the adolescent period and parent goals related to work and postsecondary education. Mothers' work and education goals were explored in relation to child factors such as language skills and autism characteristics. Lower language skills were associated with lower likelihood of reporting vocational goals. Results suggest that adolescents with FXS with lower language ability are less likely to have vocational plans for adulthood during this critical period and may need greater transition planning assistance.

This study evaluated the appropriateness of scoring the Behavior Rating Inventory of Executive Function-Preschool (BRIEF-P) using age-equivalent scores generated from multiple measures of cognition and language among school-age children with Down syndrome (DS). Subscale T scores for 95 children with DS were contrasted using standard scoring on the Behavior Rating Inventory of Executive Function-Second edition (BRIEF-2; based on chronological age) to alternate scoring using the BRIEF-P (based on age-equivalent) for patterns of subscale intercorrelations, differences in mean scores, and agreement on findings from clinical cut-off scores. Results with children with DS suggested using (1) the BRIEF-P for children ages 2-5 years old, (2) the BRIEF-2 with chronological-age scoring or the BRIEF-P with age-equivalent scoring (with some caveats) for research on children ages 5-10 years old, and (3) the BRIEF-2 for children ages 11 and older.

Automated methods for processing of daylong audio recordings are efficient and may be an effective way of assessing developmental stage for typically developing children; however, their utility for children with developmental disabilities may be limited by constraints of algorithms and the scope of variables produced. Here, we present a novel utterance-level processing (ULP) system that 1) extracts utterances from daylong recordings, 2) verifies automated speaker tags using human annotation, and 3) provides vocal maturity metrics unavailable through automated systems. Study 1 examines the reliability and validity of this system in low-risk controls (LRC); Study 2 extends the ULP to children with Angelman syndrome (AS). Results showed that ULP annotations demonstrated high coder agreement across groups. Further, ULP metrics aligned with language assessments for LRC but not AS, perhaps reflecting limitations of language assessments in AS. We argue that ULP increases accuracy, efficiency, and accessibility of detailed vocal analysis for syndromic populations.