What Counts: Harnessing Data for America’s Communities: From the Federal Reserve, the book What Counts provides essays from leaders across sectors on how and why they use data.
This chapter from the Practical Playbook Series includes tips, guidelines, and examples for choosing and using the right metrics.
This article discusses the importance of developing health metrics for the real estate industry to encourage investment in healthy communities.
A must read, the Federal Reserve’s What Counts: Harnessing Data for America’s Communities assembles essays from leaders in health and community development on how (and why) they use data. Learn how different organizations plan, use, and benefit from data.
Evidence is the backbone of policy change, and data is the backbone of any evidence base. The book, published by the Urban Institute and Federal Reserve Bank of San Francisco, includes perspectives from those in public health, housing, education, finance, and related disciplines on the importance of data in their work. Taken together, they argue that we must be much more strategic in assembling and using data if want to better answer today’s most pressing questions.
Better data infrastructure – which includes technologies but also skills, capacities, and leadership – can also help promote cross-sector work. Improving how we collect, use, and, more critically, share data across institutions can reveal the connections across sectors and help us better understand the outcomes of our work.
Of course, better use of data in and of itself will not eliminate poverty or produce healthier lives. But it can help us work together in joint action across sectors and get smarter about better targeting resources.
The following chapters best illustrate how data can be used to strengthen the intersections between community development and health.
An argument and framework for how community development and health can better align what they measure for greater (shared) impact.
Published in a special issue of Health Affairs focusing on health and community development, authors Joseph Schuchter and Douglas Jutte provide guidance for community developers and health practitioners to help align their measurement systems to better achieve shared goals. The article highlights promising innovations by organizations such as The Reinvestment Fund and NeighborWorks America.
Until building healthier communities pays off for the bottom line, real estate developers won’t likely pay attention to health. This article identifies four key attributes for developing meaningful performance criteria and provide an example in action for the real estate sector.
The authors call for the health care and real estate sectors to jointly develop metrics that better evaluate the “performance” of real estate developments from a population health perspective. They specifically identify four important characteristics required for bridging these two sectors. These characteristics include 1) actionable and mutable, 2) community relevant, 3) practical, and, 4) valuable. The history of successful “green” building initiatives are suggested as a potential model, and the Mariposa Project in Denver is provided as a case study.
A “metrics 101” tutorial defining when and why to use metrics to prove a case for health outcomes.
“Metrics are measures with meaning” starts this tutorial on how projects can move from counting outputs to measuring progress in population health. This chapter from the Practical Playbook series from the CDC, Duke University, and the DuBeaumont Foundation includes tips for sources of metrics, characteristics of good metrics, and how to construct a measurement framework that provides context on what data means. The chapter also includes examples and guidelines for choosing the right metrics.
This article from the Centers for Disease Control and Prevention (CDC) proposes a specific set of “bottom-line” health outcomes to measure in population-wide health projects applicable to community-level interventions and investments.
Author R. Gibson Parrish describes the “causal web” of person- and community-level factors that influence health and well-being.
Dr. Parrish recommends the following categories of medical outcome metrics:
Boxes 1 and 2 in the article include detailed lists of options for each metric.
Though focused on medical outcomes, this article provides insight into what outcomes are considered meaningful to the health care and public health sectors.
The ULI Building Healthy Places Initiative report offers insights from experts and examples from across the United States where health is being built into communities. An accompanying toolkit gives planners and developers a straightforward way to incorporate healthier design into development projects.
The toolkit streamlines the vast scientific research on this topic by offering 21 evidence-based recommendations for creating a healthy community. The toolkit also includes a list of certification programs, success stories, and resources.
In this blog post and accompanying short video, Dr. Matthew Trowbridge, a pediatrician and senior research fellow at the US Green Building Council, discusses the importance of developing health metrics for the real estate industry to encourage investment in healthy communities.
Using the green building industry principles as a guide, Dr. Trowbridge calls for a baseline of health metrics for use in the real estate industry. Green building has a mature set of best practices and measures for sustainability, he says. Now the field needs something similar to measure health. “We have not directly targeted [health indicators] intentionally in green building, but it’s starting.”
Bringing these two fields—real estate and health—together with shared performance criteria is a must. In an article in Health Affairs, Trowbridge and his coauthors lay out specific criteria for health metrics that the real estate industry and the public health sector can share.
A framework for measuring how an organization’s efforts are changing factors essential to strong, vibrant—and healthy—neighborhoods.
Health impact assessments help planners factor health outcomes into housing and neighborhood decisions, and avoid unexpected costs.
Community development can be integral in addressing population health problems and the high cost of treatment. But to do so, decision makers need a tool for predicting the health outcomes of development. Enter health impact assessments (HIA).
By systematically assessing the health risks of development decisions upfront, health impact assessments can prevent costly and harmful mistakes. An HIA in California, for example, identified how development around a light rail stop could boost exercise and connect people to grocery stores, employment, and health services. But it also flagged the potential downside of gentrification and displacement. That led to a list of tailored planning changes.
How can a logic model help community development financial institutions (CDFIs) measure and communicate their non-financial impact? This article explains.