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Measurement, Learning, & Evaluation

Measurement is about how we use information to chart our progress. Our shared learning is defined by what we measure and how we measure. Measurement helps us evaluate what works and what doesn’t work. To support thriving people and places, measures must be developed with communities and must be situated in a connected, equitable data infrastructure.

What You Need to Know

These key issues are essential to understanding how we can support thriving people and places.

Table Of Contents
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  • What You Need to Know
  • Historical Context
  • Current Conditions
  • Pivotal Moves

Measurement, Learning, & Evaluation: Charting Progress

  1. Whole-person, whole-community outcome measures are designed to depict how people feel about their own lives, their own communities, and their social conditions.
  2. A system can only achieve equitable outcomes if equity-in-process is part of its DNA. Community members and people with lived experience must be able to exert stewardship and control over their own information.
  3. It is important to choose measures that catalyze cross-sector collaboration and show the contribution of these sectors to overall health and well-being.

Historical Context

THE RAPID SPREAD AND HIGH MORTALITY OF COVID-19 AMONG POPULATIONS WITH HIGH LEVELS OF SOCIAL VULNERABILITY have shined a spotlight on the inequities of our current system’s inequities.

As we prepare to emerge from the initial peak of the pandemic, it is paramount that we set up systems to promote better and more equitable outcomes in health and wellbeing.

https://soundcloud.com/commonsgood/commons-good-dr-soma-saha

We will work to make sure what we’re learning across the chapters of the Springboard are considered for inclusion into our national measurement processes–and to advance the federal data strategy around equitable data, infrastructure, and investment with a focus in communities that need it the most.”

Dr. Somava Saha, Well Being (WE) & Equity in the World

Current Conditions

We must develop a comprehensive measurement strategy to drive collaborative improvement in population health and well-being by:

  • Recognizing the ways in which multiple factors and sectors interact
  • Implementing a balance of measures that relate to thriving people, thriving communities, and the systems that create racial and other inequities
  • Evaluating measures using an equity lens that includes race/ethnicity, place, age, gender, sexual identity, language spoken at home, and wealth
  • Employing community-oriented tools that can assess deeper system transformation

It is important to create “learning measurement systems” that encompass all collaborating sectors and are designed to reflect the lived experiences of inequality. These learning measurement systems need to harmonize data, facilitate smooth information sharing, and synchronize with one another.

“To drive collaborative improvement in population health and well-being, measures must cross sectors; address economic and social determinants of health, well-being, and equity; and improve the health and well-being of people and of places.”

Somava Saha & Colleagues

Pivotal Moves

A Selection of Ideas for Changing Course

PIVOTAL MOVES are decisive actions that could begin now and change the course of community life relatively quickly.

We have been learning at an unparalleled pace in the context of the COVID-19 pandemic. The crisis has led to massive shifts in public health, health care, the economy, modes of social connection, and mental health. To support resilience, communities and organizations need to develop an equitable measurement process and data infrastructure—and consider specific measures for thriving, struggling, and suffering. We recommend:

COMMON MEASURES

Communities need to identify a small set of common measures to assess overall outcomes.

BALANCED MEASURES

It is important to include subjective measures, like people-reported outcome measures to assess thriving, struggling and suffering, as well as objective measures, such as years of life lost or gained.

EQUITABLE PROCESS

Communities must identify measures that matter—and measures that relate to the context of their communities. This means that data has to be available at the community level (subcounty, ideally neighborhood).

ASSESSMENT PROCESS

Communities need a method for assessing their own journey in equitable transformation.

DATA INFRASTRUCTURE

An equitable data infrastructure must be developed in a way that is accessible to community residents, connected and interoperable across sectors, and equitably governed.

Learn more about the 40 measures recommended for equitable recovery and resilience in the Deep Dive.

DATA IN ACTION

Flexible data hubs can be used to adapt to many challenges. Los Angeles County
redirected its data hub to focus on COVID-19 and related factors by:

  • Identifying homeless clients with a positive COVID-19 diagnosis to limit contact and promote safe isolation practices
  • Informing shelter workers of a positive COVID-19 diagnosis so that they can take appropriate precautions
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Take these pivotal moves with you.

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