Home visiting impacts during the pandemic: Evidence from a randomized controlled trial of child first.

Existing research has found that home visiting programs for families with young children can improve children's development and strengthen caregiver and family well-being. However, the pandemic created numerous challenges for home visiting programs, forcing them to deliver services online or in a hybrid format to respond to pandemic-related challenges. Questions remain about the impacts of these programs when delivered at-scale via a hybrid model, especially during this uniquely challenging time. The present study reports 12-month impacts from a randomized controlled trial of Child First-an evidence-based home visiting program that provides psychotherapeutic, parent-child intervention (children ages 0-5) embedded in a coordinated system of care-when implemented as a hybrid service. This study estimates impacts within four domains: families' receipt of services, caregiver psychological well-being and parenting, child behavior, and family economic well-being. After randomly assigning families (N = 226) to receive Child First or typical community services, the research team surveyed caregivers (N = 183) about a year after study enrollment. Results from regression models with site fixed effects revealed suggestive evidence that Child First reduced caregivers' job loss, residential mobility, and self-reported substance abuse, and increased receipt of virtual services during the pandemic. There were null impacts on caregivers' psychological well-being, families' involvement with the child welfare system, children's behaviors, and other indicators of economic well-being. Implications for future research and policy are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Multiplier Method for Predicting the Sitting Height Growth at Maturity: A Database Analysis.

This study aims to develop multipliers for the spine and sitting height to predict sitting height at maturity. With the aid of longitudinal and cross-sectional clinical databases, we divided the total sitting height, cervical, thoracic, and lumbar lengths at skeletal maturity by these same four factors at each age for each percentile given. A series of comparisons were then carried out between the multipliers as well as the percentiles and the varied racial and ethnic groups within them. Regarding sitting height, there was little variability and correlated with the multipliers calculated for the thoracic and lumbar spine. The multiplier method has demonstrated accuracy that is not influenced by generation, percentile, race, and ethnicity. This multiplier can be used to anticipate mature sitting height, the heights of the thoracic, cervical, and lumbar spine, as well as the lack of spinal growth after spinal fusion surgery in skeletally immature individuals.