Equity Frameworks for Rural Northern California: Pairing CDC's CORE Approach with BARHII
Public health frameworks describe the right goals, but the data systems behind them were built for places with more people and bigger samples. In Siskiyou, Trinity, Humboldt, or Modoc County, that gap shapes everyday epidemiology. Here is how two widely used frameworks, CDC's CORE strategy and the BARHII framework, fit rural Northern California.
Two frameworks, two jobs
CDC's CORE strategy (launched April 2021) commits the agency to cultivating health equity science, optimizing interventions, strengthening partnerships, and building workforce capacity. For epidemiologists, the useful pieces are CDC's Health Equity Science Principles (2023), which guide how equity-focused surveillance, research, and evaluation are designed and used, and its Intervention and Action Principles (2022). CORE tells you how to do equity-minded science.
The BARHII framework, from the Bay Area Regional Health Inequities Initiative, is a causal map. Social inequities (class, race and ethnicity, immigration status, gender, sexual orientation) shape institutional power, which shapes living conditions, then risk behaviors, then disease and injury, and finally mortality. It pairs that chain with a spectrum of practice, from downstream care and case management to upstream organizing, advocacy, and policy. California's Office of Health Equity adopted it as a guiding framework. BARHII tells you what to look at and where to act.
The rural north through the BARHII chain
The California Center for Rural Policy at Cal Poly Humboldt works with RANCHO, an eleven-county consortium of rural health officers (Del Norte, Glenn, Humboldt, Lake, Lassen, Mendocino, Modoc, Shasta, Siskiyou, Tehama, Trinity). Its research finds elevated premature death, disability, and risky behaviors versus California overall, tied largely to tobacco use, substance use, and mental health challenges. Consequences include lung cancer, respiratory disease, motor vehicle deaths, drug-induced and liver disease, and suicide. The whole region is a mental health provider shortage area, and unmet need for substance use treatment is substantial.
Survey data fit the same pattern. UCLA's 2021-2022 California Health Interview Survey profile of the northern region found nearly 1 in 3 adults below 200% of the federal poverty level delayed medical care, and more than 1 in 4 had experienced housing instability. Housing and access are living conditions. Substance use is a risk behavior. Lung disease and suicide are outcomes. Treating only the last link is the downstream trap BARHII names.
The epidemiology problem: small numbers, big distances
Both frameworks assume you can measure inequities by group. In small rural counties, that is often the hard part. The Center for Rural Policy describes recurring data problems: fragmentation across systems, limited granularity, unstable rates when a few cases swing a per-capita figure, small cells that cannot be shared without identifying people, and rural populations that get flattened in broader categories. Several RANCHO counties say they lack enough data to drill down on the groups most affected. Even CHIS pools nine northern counties into one region, which can hide a Tribal community or a single isolated town.
Practical responses:
Pool deliberately and say so. Use multi-year and multi-county pooling, report confidence intervals, and avoid ranking small counties on single-year rates.
Show counts and rate differences, not only rates. Ratios from tiny denominators mislead in both directions.
Add community knowledge. Tribal health programs, clinics, and community health workers often hold the signal that suppressed data cannot.
Measure upstream. Track housing, transportation, income and access, which appear before deaths do.
Improve demographic data. Collect race, ethnicity, language and disability data thoughtfully, with trust and transparency.
Where each framework needs adapting
BARHII's examples lean urban. In the far north, living conditions also mean distance to care, broadband and cell coverage, wildfire smoke and thin provider networks. The structure holds; the contents need local definitions. CDC's approach assumes analytic capacity that small departments often lack, so shared regional staff and funding matter. Finally, federal equity web content has changed in recent years, so confirm CDC pages are still live before citing them and keep archived copies.
A workable sequence
Map one priority outcome (delayed care, overdose, suicide) on the BARHII chain and note what you know at each tier.
Use CDC's science principles to ask who is missing from the data and who helped define the question.
Pair a downstream service with an upstream move, such as treatment access plus housing or transportation partnerships.
Share data capacity across neighboring counties, and report uncertainty honestly.
The bottom line
CORE gives rural epidemiologists a standard for how to practice equity-centered science. BARHII maps where inequities begin and where action can reach them. Neither was written for a county of a few thousand people across a mountain range, so both need translating. Done well, that translation keeps the places with the smallest numbers from becoming the places with the least visibility.