To confirm your appointment, please press one: Examining demographic and health system interface factors that predict missed appointments in a pediatric outpatient neuropsychology clinic.

Objective: Missed patient appointments have a substantial negative impact on patient care, child health and well-being, and clinic functioning. This study aims to identify health system interface and child/family demographic characteristics as potential predictors of appointment attendance in a pediatric outpatient neuropsychology clinic. Method: Pediatric patients (N = 6,976 across 13,362 scheduled appointments) who attended versus missed scheduled appointments at a large, urban assessment clinic were compared on a broad array of factors extracted from the medical record, and the cumulative impact of significant risk factors was examined. Results: In the final multivariate logistic regression model, health system interface factors that significantly predicted more missed appointments included a higher percentage of previous missed appointments within the broader medical center, missing pre-visit intake paperwork, assessment/testing appointment type, and visit timing relative to the COVID-19 pandemic (i.e. more missed appointments prior to the pandemic). Demographic characteristics that significantly predicted more missed appointments in the final model included Medicaid (medical assistance) insurance and greater neighborhood disadvantage per the Area Deprivation Index (ADI). Waitlist length, referral source, season, format (telehealth vs. in-person), need for interpreter, language, and age were not predictive of appointment attendance. Taken together, 7.75% of patients with zero risk factors missed their appointment, while 22.30% of patients with five risk factors missed their appointment. Conclusions: Pediatric neuropsychology clinics have a unique array of factors that impact successful attendance, and identification of these factors can help inform policies, clinic procedures, and strategies to decrease barriers, and thus increase appointment attendance, in similar settings.

Association Between Neighborhood Deprivation and Child Cognition in Clinically Referred Youth.

OBJECTIVE: When socioeconomic status is measured at the individual and/or family level, it has long been associated with cognition in children. However, the association between neighborhood deprivation, an index of community-level socioeconomic status, and child cognition is not fully understood. The goal of this study was to investigate (1) the relationship between neighborhood deprivation and child cognitive functioning and (2) whether child age moderates the relationship between cognitive functioning and neighborhood deprivation. METHODS: This study included 9878 children, ages 3 through 17 years (M = 10.4 yrs, SD = 3.4 yrs). Data were gathered from children referred for and evaluated at an urban, outpatient neuropsychology assessment clinic between 2006 and 2022, located in the Mid-Atlantic region of the United States. Neighborhood socioeconomic status was measured at the census block level using the Area Deprivation Index composite. RESULTS: There was a 20-point median difference in overall intelligence between the neighborhoods with the lowest and highest levels of deprivation. Overall intelligence and verbal comprehension, compared with working memory, fluid reasoning, and processing speed, demonstrated the strongest negative association with neighborhood deprivation (all p < 0.05). Older children had lower overall intelligence scores compared with younger children in neighborhoods with high levels of deprivation ( p < 0.01), suggesting a cumulative influence of poverty exposure. CONCLUSION: This study demonstrates the stark disparities in child cognitive functioning across levels of neighborhood deprivation. Findings support the importance of access to early interventions and services that promote intellectual growth and verbal capacity among children who live in neighborhoods with great deprivation.

Can We Expand the Pool of Youth Who Receive Telehealth Assessments for ADHD? Covariates of Service Utilization.

BACKGROUND: During the COVID-19 pandemic, telehealth became widely utilized for healthcare, including psychological evaluations. However, whether telehealth has reduced or exacerbated healthcare disparities for children with Attention-Deficit/Hyperactivity Disorder (ADHD) remains unclear. METHODS: Data (race, ethnicity, age, insurance type, ADHD presentation, comorbidities, and distance to clinic) for youth with ADHD (Mage = 10.97, SDage = 3.42; 63.71% male; 51.62% White) were extracted from the medical record at an urban academic medical center. Three naturally occurring groups were compared: those evaluated in person prior to COVID-19 (n =780), in person during COVID-19 (n = 839), and via telehealth during COVID-19 (n = 638). RESULTS: Children seen via telehealth were significantly more likely to be older, White, have fewer comorbid conditions, and live farther from the clinic than those seen in person. CONCLUSIONS: The current study suggests that telehealth has not eliminated barriers to care for disadvantaged populations. Providers and institutions must take action to encourage telehealth use among these groups.

Does Assessment Format Matter? A Comparison of In-Person Versus Teletesting Scores for Youth with ADHD.

OBJECTIVE: This study examined test score equivalency between traditional in-person assessment and teletesting among youth diagnosed with Attention-Deficit/Hyperactivity Disorder (ADHD). METHOD: In all, 896 youth with ADHD, ages 5-21 years, were administered cognitive, academic achievement, and verbal fluency measures via either teletesting (n = 448) or traditional in-person assessment (n = 448). The teletesting and in-person groups were matched on age, sex, and insurance type (as a proxy for income). RESULTS: Results indicated no significant differences in test scores obtained via in-person and teletesting evaluations across all examined measures. CONCLUSION: Clinically referred youth with ADHD perform similarly on measures of cognitive functioning, academic achievement, and verbal fluency, regardless of whether these measures are administered in-person or via teletesting. While additional evidence for equivalent psychometric properties of neuropsychological instruments administered remotely is needed, this study offers support for the validity of remote administration among youth with ADHD.

Characterizing and comparing adaptive and academic functioning in children with low average and below average intellectual abilities.

Objective The recent American Academy of Clinical Neuropsychology (AACN) consensus statement on uniform labeling of performance test scores places children who were previously characterized as having "borderline intellectual functioning" within the low average (LA; full scale intellectual quotient (FSIQ) between 80-89) or below average (BA; FSIQ between 70-79) categories. Given limited research examining functional differences across FSIQ groups using AACN's uniform labeling, this study examined adaptive and academic functioning by FSIQ group in youth referred for (neuro)psychological evaluation. Primary comparisons of interest were between LA and BA groups. MethodParticipants were 2,516 children between 6 to 13 years with standardized measures of intellectual, adaptive, and academic functioning. Participants were included if their FSIQ ranged from average to exceptionally low. Group differences in adaptive functioning and academic achievement were examined. ResultsThe LA group did not differ from the BA group in overall adaptive functioning and several domains of adaptive functioning (i.e. social, practical), but demonstrated slightly stronger adaptive skills in the conceptual domain. While the LA group evidenced slightly better word reading and math computation scores than the BA group, these statistically significant differences were not clinically -meaningful. ConclusionsIn this clinically referred sample, children with LA and BA intellectual abilities demonstrated similar adaptive skills, but slightly different academic achievement. Both groups demonstrated lower adaptive and academic functioning than children with average range FSIQs. These results suggest that adaptive functioning should be assessed during (neuro)psychological evaluations even when children do not have extremely low FSIQs.

What's race got to do with it? Informant rating discrepancies in neuropsychological evaluations for children with ADHD.

OBJECTIVE: To evaluate race-based discrepancies in informant ratings and in rates of Attention-Deficit/Hyperactivity Disorder (ADHD) diagnosis among a clinically referred sample of Black and White children. METHOD: Demographic information and ratings of inattention, hyperactivity/impulsivity, and conduct were collected from caregivers and teachers as part of neuropsychological evaluations at an outpatient clinic. The final sample included 3,943 children (6-18 years), of which 70% were White and 30% were Black. RESULTS: Teachers, but not caregivers, endorsed more inattentive symptoms and conduct problems for Black than for White children, irrespective of ADHD diagnostic status and socioeconomic status (SES), and after controlling for child sex, child age, and learning difficulties. Teachers endorsed more hyperactive/impulsive symptoms for Black children with ADHD of lower SES than for White children with these characteristics. Caregivers of Black children of higher SES reported fewer hyperactive/impulsive symptoms than caregivers of White children of higher SES. Despite differences in teachers' ratings by race, diagnostic rates of ADHD in the context of neuropsychological evaluations were comparable for Black and White children. CONCLUSIONS: Consistent with previous literature, teachers endorsed more ADHD and conduct problems in Black children. Within our clinically referred sample, this may reflect teacher bias rather than actual prevalence differences by rafce, given that Black caregivers endorsed fewer or similar numbers of symptoms relative to White caregivers. This lack of racial disparities in rates of ADHD diagnosis is inconsistent with findings in community- and population-based samples, and reflectspossible benefit of the use of neuropsychological evaluations in diagnostic decision-making for ADHD.

School-based multi-tiered systems of support (MTSS): An introduction to MTSS for neuropsychologists.

When completing pediatric neuropsychological evaluations, it is important for clinicians to incorporate data from children's school environments. Today, the educational data available to neuropsychologists have resulted from the utilization of multi-tiered systems of support (MTSS) within schools; however, practitioners may lack knowledge and/or training in this school-based approach to assessment and intervention. Better understanding of MTSS may aid pediatric neuropsychologists in their interpretation and use of educational data commonly provided by schools. Thus, the purpose of this article is to provide an overview of school-based MTSS and explain how knowledge about MTSS can inform neuropsychological evaluations. Specifically, practical implications for record reviews, recommendation development, and consultation with schools will be discussed.