The impact of policy design on payment concentration in Ad-hoc disaster Relief: Lessons from the Market Facilitation and Coronavirus food Assistance programs.

This study examines the distributional implications of two recent disaster aid programs, the 2018 and 2019 Market Facilitation Payment (MFP) programs that have distinctly different program designs, and the federal crop insurance program. Farm-level data are used to estimate the relationship between farm size, measured by crop sales, and the distribution of program benefits. Results indicate payments are more concentrated on larger farms that receive higher per acre payments under the 2018 MFP and federal crop insurance programs.

The impact of rural health care accessibility on cancer-related behaviors and outcomes.

Background: This research seeks to identify the relationship between economic factors related to the ability to receive and pay for health services and adverse cancer outcomes, as well as preventative screening and behavioral factors that influence the risk of cancer. We focus on the Northern High Plains region, where we are able to compare regions with extremely low access to health services with those with relatively high levels of access.

Objective: This study aims to identify health disparities in rural communities, particularly among Native American populations, and, thereby, begin to determine the most effective means by which to deliver health services to areas where geography, economics, and culture might prevent traditional models of health delivery from providing sufficient incentives for the prevention of adverse cancer-related outcomes.

Combination aspirin and/or calcium chemoprevention with colonoscopy in colorectal cancer prevention: cost-effectiveness analyses.

Background: Clinical and cohort studies have shown that low-dose aspirin and calcium are effective low-risk strategies for primary prevention of colorectal cancer (CRC). We compared the cost-effectiveness of aspirin and calcium chemoprevention used with colonoscopy for primary prevention of CRCs.

Methods: Markov chain Monte Carlo simulations for a population of 100,000 persons, with a colonoscopy compliance rate of 50%, were used for the analysis.

The chronic kidney disease model: a general purpose model of disease progression and treatment.

Background: Chronic kidney disease (CKD) is the focus of recent national policy efforts; however, decision makers must account for multiple therapeutic options, comorbidities and complications. The objective of the Chronic Kidney Disease model is to provide guidance to decision makers. We describe this model and give an example of how it can inform clinical and policy decisions.