Mobilizing Action Toward Community Health (MATCH)
Preventing Chronic Disease (PCD) journal. Published by the
July 2010 Issue
Available online at: http://bit.ly/bDCkzn
Content
David A. Kindig, Bridget C. Booske, Patrick L. Remington
In this issue of Preventing Chronic Disease, we present the 7 essays on population health metrics (4-10), introduced by 2 commentaries (11,12). These essays describe the types of tools that can be used to measure and monitor the health of populations and are the first of 3 sets of essays to appear in this and the next 2 issues.
The next set of essays will describe incentives that can be used to promote programs and policies that improve population health, and the role for population health partnerships in these efforts.
A69: Evaluating Metrics to Improve Population Health
Linda T. Bilheimer
“…..The 7 metrics articles in this issue of Preventing Chronic Disease address the following topics: public health policy
(1), health care access and quality
(2), social and economic determinants
(3), health behaviors
(4), environmental metrics
(5), population health outcomes
(6), and health inequalities
(7). The articles differ in the degree to which they establish a conceptual framework for linking metrics to rewards to improve population health.
Their different perspectives raise questions of whether these metrics should meet certain criteria, regardless of domain, or whether some flexibility in the criteria for assessing metrics is necessary and desirable. Questions that arise in establishing such criteria relate to structure and function as well as data availability.
Structure and Function of Population Health Metrics
In establishing a framework for linking performance incentives to population health metrics, researchers must answer multiple questions.
Are the measures actionable?
Are the measures sensitive to interventions?
Are the measures affected by population migration?
Are the measures easily understood by collaborating organizations, policy makers, and the public?
Is the meaning of an increase or decrease in a measure unambiguous?
Do the measures stand alone or are they aggregated into an index or summary measure?
Are the measures uniform across communities?
To what extent do measures address disparities as well as overall burden?
Can unintended consequences be tracked?
A70: Using Metrics to Improve Population Health Robert M. Pestronk
PEER REVIEWED
A71: Measuring Population Health Outcomes - R. Gibson Parrish Este resumen en español
A72: A Summary Measure of Health Inequalities for a Pay-for-Population Health Performance System
Yukiko Asada Este resumen en español
A73: Measuring Health Care Access and Quality to Improve Health in Populations
Thomas E. Kottke, George J. Isham Este resumen en español
A74: Socioeconomic Indicators That Matter for Population Health
Paula M. Lantz, Andrew Pritchard Este resumen en español
A75: Measuring Health Behaviors in Populations
Ali H. Mokdad, Patrick L. Remington Este resumen en español
A76: Environmental Metrics for Community Health Improvement
Benjamin Jakubowski, Howard Frumkin Este resumen en español
A77: Measuring the Impact of Public Health Policy
Ross C. Brownson, Rachel Seiler, Amy A. Eyler Este resumen en español
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