Friday June 27 PPOR Learning Network Call: PPOR 101

Published Date: 
Mon, 2014-06-23

CityMatCH announces the rebirth of the PPOR Learning Network call series. Register for the first call "PPOR 101" to be held this Friday, June 27 at 2:00 p.m. CST. It will cover the basics of how PPOR analysis works and how it guides community practice (Phase 1 and Phase 2).

Celebrating the 15th Anniversary of PPOR's Conception

Vol. 20
citylights 2012 fall cover

As CityMatCH’s Executive Director, I am pleased to bring you this issue celebrating the 15th Anniversary of the Perinatal Periods of Risk (PPOR). For over twenty years, CityMatCH has strived as an organization to reduce health disparities and translate the science of public health to practice. PPOR has played a key role in our history by demonstrating that addressing feto-infant mortality rates in a way that empowers the community and utilizes the available data is not only possible, but achievable.

Celebrating the 15th Anniversary of the Perinatal Periods of Risk's Conception

Published Date: 
Tue, 2013-01-08

CityMatCH, the National Organization of Urban MCH Leaders, recently published a special edition of CityLights highlighting the 15th Anniversary of the Perinatal Periods of Risk's Conception.
To view the issue, visit: http://webmedia.unmc.edu/Community/CityMatch/CityLights/CityLights201212.pdf

Seeing It Through-Preventing Fetal & Infant Deaths

Vol. 14

For over a half century, the U.S. had edged steadily closer to preventing most infant deaths. Eliminating persistent racial and ethnic disparities in infant mortality was a common goal being pursued actively by most communities. Then, in 2002, to the surprise of many, decades of decline ended.

Local Practice

Perinatal Periods of Risk (PPOR)

Perinatal Periods of Risk (PPOR) is a comprehensive approach to help communities use data to reduce infant mortality. Designed for use in US cities with high infant mortality rates, PPOR  brings  community stakeholders together to build consensus and partnership based on local data.

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