Resources

DRCHSD Monthly Newsletter - March 2023

View the DRCHSD Monthly Newsletter - February 2023

Information on the pilot tests for a tool created by The Paramedic Foundation for rural ambulance services, the Community Benefit and Financial Distress Tool.

The purpose of this analysis is to compare the incidence of cancer-related to risk factors and geographic characteristics such as access and use of preventative care, uninsured rates, smoking rates, access to broadband internet, race, and rurality for each county and state.

This analysis aims to compare the incidence of Chronic obstructive pulmonary disease (COPD) related to risk factors and geographic characteristics such as obesity, smoking, uninsured, race, and rurality for each county and state.

The purpose of this analysis is to compare diabetes rates and population age for each county and state.

The purpose of this analysis is to compare the incidence of strokes related to risk factors and geographic characteristics such as incidence of high blood pressure, high cholesterol, rate of the population that performs cholesterol screening, use of high cholesterol medicine, uninsured rates, race, and rurality for each county and state.

This analysis aims to identify a potential association between homicides, motor vehicle accidents, and injuries based on poverty rates for each county and state.

The purpose of this analysis is to compare the rates of patients who reported that they were given information about what to do during their recovery at home, given the rates of readmissions and mortality for acute myocardial infarction, coronary artery bypass grafting (CABG), chronic obstructive pulmonary disease, stroke, heart failure, pneumonia, and hip/knee replacement at multiple levels, including state, county, and hospital type.

This analysis aims to identify wait times and leave percentages across different types of hospitals.

This analysis aims to compare patient-physician communication rates with heart failure readmission and mortality rates among different types of hospitals.

This analysis first aims to determine whether an area's poverty rate is related to preventable hospitalizations and readmission rates.

This analysis aims to compare health status with social determinants of health by examining the rates of self-reported mental distress given population estimates, poverty rates, population size, and reported excessive drinking at the county level.

This analysis aims to explore the socioeconomic status and health-related outcomes (including diabetes rates, preventable hospital stays, household income, and access to healthy food) in relation to premature mortality.

This analysis aims to determine if there is a relationship between access to transportation and health status.

This assessment aims to determine if there is a difference in the relationship between the percentage of the population that reported they strongly understood discharge instructions and the percentage for the race categories at the county level.

This analysis aims to compare the rates of poor mental health days by rates of drug overdose, excessive drinking, employment status, and health insurance coverage at the county level.

The purpose of this resource is to provide examples of analyzing claims data. Specifically, the resource offers explanations and videos on using synthetic claims data developed by the Centers for Medicare & Medicaid Services (CMS) and instructions on acquiring and using the data.

This [27 minute] session lays the groundwork for the series, discussing the broader context of how technology can support the shift to value-based care with an emphasis on improving the health of the population.