Learning from an equitable, data-informed response to COVID-19: Translating knowledge into future action and preparation.

Introduction: The COVID-19 pandemic revealed numerous barriers to effectively managing public health crises, including difficulties in using publicly available, community-level data to create learning systems in support of local public health decision responses. Early in the COVID-19 pandemic, a group of health care partners began meeting to learn from their collective experiences. We identified key tools and processes for using data and learning system structures to drive equitable public health decision making throughout different phases of the pandemic.

Using Collaborative Coalition Processes to Advance Community Health, Well-Being, and Equity: A Multiple-Case Study Analysis From a National Community Transformation Initiative.

Spreading Community Accelerators Through Learning and Evaluation (SCALE) was a Robert Wood Johnson Foundation-funded initiative from 2015 to 2017 to build capability of 24 community coalitions to advance health, well-being, and equity. The SCALE theory of change had three components: develop leadership capability, build relationships within and between communities, and create an intercommunity system to spread promising ideas. The theory was operationalized through training academies, coaching, and peer-to-peer learning that explicitly addressed equity and systems change.