Protocol for Responding to & Assessing Patients’ Assets, Risks & Experience

(PRAPARE) is a national standardized patient risk assessment protocol designed to engage patients in assessing & addressing social determinants of health (SDOH). PRAPARE is evidence-based, designed through stakeholder engagement, paired with an Implementation and Action Toolkit, and standardized across ICD-10, LOINC, and SNOMED.

PRAPARE Core Question Domains

*Note: The PRAPARE screening tool gathers information on “personal characteristics,” including race, ethnicity, and language preference. These characteristics are not inherently connected to poor health outcomes, however, the social and economic conditions affecting patients’ health are deeply rooted in systemic racism, discrimination and inequality. With data, we can demonstrate the disproportionate distribution of social risks within our communities, and use this information to more effectively work upstream to create healthier, more equitable systems and communities.

Why Collect SDOH data using PRAPARE?

PRAPARE helps community health centers and other providers collect data needed to better understand and act on their patients’ SDOH. With data on SDOH, health centers and other providers can

  Define and document the complexity of their patients

  Transform care with integrated services and community partnerships to meet the
     needs of their patients

  Demonstrate the value they bring to patients, communities, and payers

  Advocate for change in their communities

While PRAPARE was created by and for community health centers, it has been increasingly used by health networks, health and hospital systems, Medicaid managed care organizations, behavioral health providers, health departments, and community-based organizations. Adoption of PRAPARE throughout the healthcare ecosystem attests to the utility and applicability in meeting the needs of vulnerable patients, families, and communities.

Demonstrated Impacts Using PRAPARE

PRAPARE users have reported the following outcomes as a result from using PRAPARE data.