Primary Care and Public Health - Both Essential for National Health Security and Population Health.

The COVID-19 pandemic was a stress test that revealed critical weaknesses in the foundation of the US health care delivery system, which left unresolved will ultimately lead to catastrophic population health consequences. Primary care and public health are the most fragile and important parts of that foundation. Collapse of either of these disciplines would lead to cascading failures harming the health of individuals and the health security of the nation.

Sustainable Approach to Justice, Equity, Diversity, and Inclusion Through Better Quality Measurement.

The US health care industry has broadly adopted performance and quality measures that are extracted from electronic health records and connected to payment incentives that hope to improve declining life expectancy and health status and reduce costs. While the development of a quality measurement infrastructure based on electronic health record data was an important first step in addressing US health outcomes, these metrics, reflecting the average performance across diverse populations, do not adequately adjust for population demographic differences, social determinants of health, or ecosystem vulnerability. Like society as a whole, health care must confront the powerful impact that social determinants of health, race, ethnicity, and other demographic variations have on key health care performance indicators and quality metrics.

Maryland's Integration of Public Health and Primary Care During the COVID-19 Pandemic: Case Study and Lessons Learned.

The Maryland Primary Care Program is a statewide advanced primary care program that works directly with practices to transform healthcare delivery by managing chronic disease, preventing unnecessary hospital utilization, and integrating with the public health system. The Maryland Primary Care Program has demonstrated how linking the public health system to primary care practices, paired with strategic financial and resource investments in primary care, can enable the delivery of high-value care and reduce acute hospital utilization. Such a system is especially prudent when responding to crises.

Assessing performance of ZCTA-level and Census Tract-level social and environmental risk factors in a model predicting hospital events.

Predictive analytics are used in primary care to efficiently direct health care resources to high-risk patients to prevent unnecessary health care utilization and improve health. Social determinants of health (SDOH) are important features in these models, but they are poorly measured in administrative claims data. Area-level SDOH can be proxies for unavailable individual-level indicators, but the extent to which the granularity of risk factors impacts predictive models is unclear.