The July 2018 policy brief “Trauma-Informed Temporary Assistance for Needy Families: A Randomized Controlled Trial with a Two-Generation Impact” examines the effectiveness of trauma-informed peer support with financial programming on improving physical, mental, emotional and financial outcomes. The full brief on the Center for Hunger-Free Communities website can be viewed here. 

An article published in Health Services Research entitled, "Public Health Spending and Medicare Resource Use: A Longitudinal Analysis of U.S. Communities," uses longitudinal data collected from 2,900 local public health agencies from six census surveys conducted between 1993-2013. The study examines if medical spending for Medicare beneficiaries is influenced by local expenditures for public health activities. To read the article in full, click here.

Overview

The authors of this study reviewed the underlying principles of how public health expenditure estimates are generated. They address what countes as public health spending, who counts it, how it is counted, and why it matters. This article serves as an expansion on previous work on governmental spending estimates through an examination of the methods and implications of national estimates of public health spending.

DISCLAIMER: The authors received financial support from the de Beaumont Foundation supporting this work. The authors are not aware of any affiliations, memberships, funding, or financial holdings that might be perceived as affecting the objectivity of this review. While this publication was funded by the de Beaumont Foundation, it is shared on this website because the findings are related to their grant funded by the Robert Wood Johnson Foundation and administered by the Systems for Action National Signature Research Program.

Overview

An article published in the American Journal of Preventive Medicine entitled, "The Foundational Public Health Services as a Framework for Estimating Spending," discusses estimates of state governmental Foundational Public Health Spending (FPHS) by developing a coding framework to analyze data from the U.S. Census Bureau State Finance hospital expenditure records from 49 states from 2000-2013. To read the article in full, click here. 

DISCLAIMER: The authors received financial support from the de Beaumont Foundation supporting this work. The authors are not aware of any affiliations, memberships, funding, or financial holdings that might be perceived as affecting the objectivity of this review. While this publication was funded by the de Beaumont Foundation, it is shared on this website because the findings are related to their grant funded by the Robert Wood Johnson Foundation and administered by the Systems for Action National Signature Research Program.

The research team published an article entitled “Using structured and unstructured data to identify patients' need for services that address the social determinants of health” in the International Journal of Medical Informatics in September 2017. The abstract can be viewed here.

The Building Wealth and Health Network is an opportunity for parents and caregivers of young children to increase their income and savings, improve health and wellbeing, shape their own futures, and to do so in a community of their peers. The Network does this through three main components: Financial Self Empowerment Classes, Matched Savings Accounts, and Surveys.

Post-program outcomes indicate positive impacts on food security, self-rated health, depression, employment, and savings account participation.

Overview

An article published in Public Health Reports entitled, "Machine-Learning Algorithms to Code Public Health Spending Accounts," compares performances of machine-learning algorithms to determine if machines provide a faster, cheaper alternative to manual classification of public health expenditures. Analysis indicates that machine-learning algorithms can be a time and cost-savings tool. To read the article in full, click here. 

DISCLAIMER: The authors received financial support from the de Beaumont Foundation supporting this work. The authors are not aware of any affiliations, memberships, funding, or financial holdings that might be perceived as affecting the objectivity of this review. While this publication was funded by the de Beaumont Foundation, it is shared on this website because the findings are related to their grant funded by the Robert Wood Johnson Foundation and administered by the Systems for Action National Signature Research Program.