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).

Familial Risk for Exceptional Longevity.

One of the most glaring deficiencies in the current assessment of mortality risk is the lack of information concerning the impact of familial longevity. In this work, we update estimates of sibling relative risk of living to extreme ages using data from more than 1,700 sibships, and we begin to examine the trend for heritability for different birth-year cohorts. We also build a network model that can be used to compute the increased chance for exceptional longevity of a subject, conditional on his family history of longevity. The network includes familial longevity from three generations and can be used to understand the effects of paternal and maternal longevity on an individual's chance to live to an extreme age.