Publications

2017

AL, Sensening, Beth Resnick, Jonathon P Leider, and David M Bishai. 2017. “The Who, What, How, and Why of Estimating Public Health Activity Spending (Related Publication)”. Journal of Public Health Management and Practice.

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.

Resnick, Beth, Fisher JS, Colrick IP, and Jonathon P Leider. 2017. “The Foundational Public Health Services as a Framework for Estimating Spending (Related Publication)”. American Journal of Preventive Medicine.

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.

Vest, Joshua, Shaun J Grannis, Dawn P. Haut, Paul Halverson, and Nir Menachemi. 2017. “Using Structured and Unstructured Data to Identify patients’ Need for Services That Address the Social Determinants of Health”. International Journal of Medical Informatics.

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.

Chilton, Mariana, Sandra Bloom, and Falguni Patel. 2017. “Research Brief: Building Wealth and Health Network Preliminary Outcomes.”

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.

ES, Brady, Jonathon P Leider, Beth Resnick, Natalia Alfonso, and David M Bishai. 2017. “Machine-Learning Algorithms to Code Public Health Spending Accounts (Related Publication)”. Public Health Reports.

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.

R, Verma, Clark S, Jonathon P Leider, and David M Bishai. 2017. “Impact of State Public Health Spending on Disease Incidence in the United States from 1980 to 2009 (Related Publication)”. Health Services Research.

Overview

An article published in Health Service Research entitled, "Impact of State Public Health Spending on Disease Incidence in the United States from 1980 to 2009," uses state-level public health spending data from The Census Bureau to better understand the relationship of state-level spending by public health departments and the incidence of vaccine preventable diseases: mumps, pertussis, and rubella. Findings indicate that there is a negative relationship between public health spending and the incidence of vaccine preventable diseases: mumps and rubella. 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.

2016

Sun, Jing, Falguni Patel, Rachel Kirzner, Nijah Newton-Famous, Constance Owens, Seth Welles, and Mariana Chilton. 2016. “The Building Wealth and Health Network; Methods and Baseline Characteristics from a Randomized Controlled Trial for Families with Young Children Participating in TANF”. BioMed Central.

Baseline findings demonstrate that caregivers participating in TANF have suffered significant childhood adversity, adult violence exposure, and poverty-related stressors that can restrict workforce success. Trauma-informed approaches to career readiness, such as the Building Wealth and Health Network, offer opportunities for potential success in the workforce while supporting families. To read the full article, "The Building Wealth and Health Network: methods and baseline characteristics from a randomized controlled trial for families with young children participating in temporary assistance for needy families (TANF)." click here.

Overview

An article published in Health Affairs entitled, "Insights Into Collaborative Networks Of Nonprofit, Private, And Public Organizations That Address Complex Health Issues," analyzes the characteristics of cross-sector community health networks (consisting of nonprofit, public, and private organizations) to address limited knowledge on the effectiveness of such networks that have formed to address health issues. To read the article in full, click here