PUBPOL 3280 - Fundamentals of Population Health

(crosslisted) GDEV 3280
(SBA-HE) (SBA-AG)

Fall. 3 credits. Student option grading.

Forbidden Overlap: due to an overlap in content, students will not receive credit for both PUBPOL 3280 and PUBPOL 5280.
Recommended prerequisite: at least one of the following GDEV 2200, HD 1150, HD 1170, HD 2180, PUBPOL 2030, PUBPOL 2100, PUBPOL 2208, PUBPOL 2300, PUBPOL 2350, PSYCH 1101, SOC 1101. Enrollment limited to: sophomores, juniors, or seniors.

J. Carmalt.

Population health focuses on the health and well‐being of entire populations. Populations may be geographically defined, such as neighborhoods or counties; may be based on groups of individuals who share common characteristics such as age, race‐ethnicity, disease status, or socioeconomic status; or may be specific patient groups “attributed” to accountable healthcare organizations using a variety of methods. With roots in epidemiology, public health, and demography, key tools of population health include health measurement, risk stratification, chronic care management, identifying “upstream” social determinants of health, cross-sector collaboration to improve prevention and wellness, and increasing health equity. Given the shifting health care environment – from fee‐for‐service to value‐based care – students who are able to apply tools to measure analyze, evaluate, and improve the health of populations (and achieve the Triple Aim) will be well‐positioned for jobs in health care, health policy, public health, and medicine (among others) as the field continues to evolve.

Outcome 1: Apply a population health and health equity perspective to problem solving.

Outcome 2: Calculate and use for decision‐making, key population health metrics and methods.

Outcome 3: Leverage publicly available social, place, demographic, and health data to analyze the health of a local community.

Outcome 4: Synthesize existing tools to design a population-tailored social determinants of health (SDH) screening tool.

Outcome 5: Analyze claims data to identify “high cost” patients and build tailored care teams to support patient needs.

Outcome 6: Build an Excel tool to identify patients at high risk for readmission following surgery and develop a tailored care transition plan designed to reduce readmissions.

Outcome 7: Recommend population health management practices (i.e., risk stratification, care coordination, complex care management, patient engagement, cross‐sector collaboration), population health delivery models (e.g., medical homes, telehealth), and payment models (e.g., capitation; Medicaid waivers), to achieve the Triple Aim.

Outcome 8: Consider different perspectives and demonstrate multicultural competence and inclusive communication while working in diverse groups or sharing in Discussion posts.

Outcome 9: Explain how structural racism contributes to observed health disparities and apply a health equity framework to class projects and discussions.

Outcome 10: Demonstrate flexibility, adaptability, and a growth mindset as we navigate a potentially shifting class environment.