Six-Year Neurodevelopmental Outcomes for Children With Single-Ventricle Physiology

OBJECTIVES: To determine if neurodevelopmental deficits in children with single-ventricle physiology change with age and early developmental scores predict 6-year outcomes. METHODS: In the Single Ventricle Reconstruction Trial, Bayley Scales of Infant Development, Second Edition, were administered at 14 months of age, and parents completed the Behavior Assessment System for Children, Second Edition (BASC-2) annually from the ages of 2 to 6 years. Scores were classified as average, at risk, or impaired. We calculated sensitivities, specificities, and positive and negative predictive values of earlier tests on 6-year outcomes. RESULTS: Of 291 eligible participants, 244 (84%) completed the BASC-2 at 6 years; more Single Ventricle Reconstruction participants than expected on the basis of normative data scored at risk or impaired on the BASC-2 Adaptive Skills Index at that evaluation (28.7% vs 15.9%; P < .001). Children with Adaptive Skills Composite scores <2 SD below the mean at the age of 6 were more likely to have had delayed development at 14 months, particularly on the Psychomotor Development Index (sensitivity of 79%). However, the positive predictive value of the 14-month Mental Development Index and Psychomotor Development Index for 6-year BASC-2 Adaptive Scores was low (44% and 36%, respectively). Adaptive Skills Composite score impairments at the age of 6 were poorly predicted by using earlier BASC-2 assessments, with low sensitivities at the ages of 3 (37%), 4 (48%), and 5 years (55%). CONCLUSIONS: Many children with hypoplastic left heart syndrome who have low adaptive skills at the age of 6 years will not be identified by screening at earlier ages. With our findings, we highlight the importance of serial evaluations for children with critical congenital heart disease throughout development

Society of Pediatric Psychology Workforce Survey: Factors Related to Compensation of Pediatric Psychologists

To summarize compensation results from the 2015 Society of Pediatric Psychology (SPP) Workforce Survey and identify factors related to compensation of pediatric psychologists. All full members of SPP ( n  = 1,314) received the online Workforce Survey; 404 (32%) were returned with usable data. The survey assessed salary, benefits, and other income sources. The relationship between demographic and employment-related factors and overall compensation was explored.   Academic rank, level of administrative responsibility, and cost of living index of employment location were associated with compensation. Compensation did not vary by gender; however, women were disproportionately represented at the assistant and associate professor level. Compensation of pediatric psychologists is related to multiple factors. Longitudinal administration of the Workforce Survey is needed to determine changes in compensation and career advancement for this profession over time. Strategies to increase the response rate of future Workforce Surveys are discussed

Society of Pediatric Psychology Workforce Survey: Updated Factors Related to Compensation

Objective The 2017 Society of Pediatric Psychology (SPP) Workforce Survey provides self-reported compensation by pediatric psychologists, identifies predictors of compensation, and establishes a better understanding of compensation within the context of gender and race/ethnicity minority status. Methods SPP members who attended the SPP Annual Conference (SPPAC; April 2017) were invited to complete the survey at the conference through electronic tablets provided on-site by the Workforce Survey Committee. The survey was subsequently distributed online to SPP members who did not complete the survey at SPPAC. The statistical analyses used for this salary data employed flexible semi-parametric models, cross-validation, and prediction models for both the overall sample and academic rank subgroups. Results Of 27 potential demographic and employment-related predictors from the 2017 SPP Workforce Survey, significant predictors of salary emerged within this sample: academic rank, time since obtaining doctoral degree, managing internal and external funds (of at least $50,000), years in primary employment position, obtaining Fellowship status in the American Psychological Association (APA), and managing other employees (at least 10 people). Given low response rates for males and individuals who identify as belonging to racial and ethnic minority subgroups, only limited, exploratory results are reported for these subgroups. Conclusions These findings suggest that not only is longevity in one’s career important but managing funds/personnel and obtaining professional designations are also predictors of higher salaries for pediatric psychologists, in general. Specific implications of salary according to the psychologist’s academic rank, gender, and racial/ethnicity group status are also explored

Behavior and Quality of Life at 6 Years for Children With Hypoplastic Left Heart Syndrome.

OBJECTIVES: We measured behavioral, quality of life (QoL), and functional status outcomes for 6-year-old children with hypoplastic left heart syndrome enrolled in the Single Ventricle Reconstruction Trial. We sought to compare these outcomes with those in the normative population and to analyze risk factors for worse outcomes within the single-ventricle group. METHODS: Parent-response instruments included the Vineland Adaptive Behavior Scales, Second Edition (Vineland-II) (primary outcome), Behavior Assessment System for Children 2, Pediatric Quality of Life Inventory 4.0, and other measures of QoL and functional status. We compared subjects with those in the normative sample using 1-sample Wilcoxon rank tests and assessed outcome predictors using multivariable regression. RESULTS: Of 325 eligible patients, 250 (77%) participated. Compared with population norms, participants had lower scores on the Vineland-II motor skills domain (90 ± 17 vs 100 ± 15; CONCLUSIONS: At 6 years, children with hypoplastic left heart syndrome had difficulty in areas of adaptive behavior, behavioral symptoms, QoL, and functional status. Principal risks for adverse outcomes include sociodemographic factors and measures of greater course complexity. However, models reveal less than one-third of outcome variance