Begin forwarded message:
On Tuesday, March 15, 2016, 9:00 PM, Christina Shaw <csh...@jhu.edu> wrote:
Dear Colleagues,
Please see the invitation from MEASURE Evaluation for a webinar on Thursday, March 31, on the basic challenges of program impact estimation. I thought it may be of interest.
Best,
Christina Shaw
Communications Specialist, Measurement, Learning & Evaluation Project (MLE)
Johns Hopkins Center for Communication Programs (CCP)111 Market Place, Suite 310
Baltimore, MD 21202
Email: csh...@jhu.edu |Phone: 410-223-1604
Web: ccp.jhu.edu | urbanreproductivehealth.org
From: MEASURE Evaluation [mailto:measure_e...@unc.edu]
Sent: Wednesday, February 17, 2016 8:03 AM
To: Christina Shaw
Subject: Monitor – February
News from the MEASURE Evaluation project
Learning, to Prevent the Next Outbreak
After the peak of the Ebola outbreak in West Africa, health officials went to Guinea to see if routine health care had been curtailed. They found an overall decline in services, especially for children, and they found that data collected was not being used to track or mitigate the epidemic. MEASURE Evaluation was on those front lines, as described this video. Watch in English or French.
Interoperability: Making Systems Talk to Each Other
Systems that are interoperable can exchange data because they adhere to the same standards. Connecting formerly stand-alone systems makes it easier for health managers to understand a health system as a whole and identify emerging health issues. MEASURE Evaluation works worldwide to improve interoperability of data systems, especially routine health information systems.
Webinar: Fundamentals of Program Impact Evaluation
Join MEASURE Evaluation on March 31 to launch a webinar series on the popular MEASURE Evaluation manual, How Do We Know If a Program Made a Difference? A Guide to Statistical Methods for Program Impact Evaluation. This webinar is first in the series and will address the basic challenges of program impact estimation.
Spotlight on New Publications
MEASURE Evaluation is funded by the U.S. Agency for International Development (USAID) under terms of Cooperative Agreement AID-OAA-L-14-00004 and implemented by the Carolina Population Center, University of North Carolina at Chapel Hill in partnership with ICF International, John Snow, Inc., Management Sciences for Health, Palladium, and Tulane University. The views expressed in this e-mail do not necessarily reflect the views of USAID or the United States government.
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