Lessons learned for drawing on multiple secondary data sources in evaluation Lessons learned for drawing on multiple secondary data sources in evaluation On February 10, 2021, Data for Impact (D4I) held a webinar in a series sharing lessons learned and practical … Read More "Lessons learned for drawing on multiple secondary data sources in evaluation"
Managing missing values in routinely reported data: One approach from the Democratic Republic of the Congo On December 2, 2020, Data for Impact (D4I) held the second webinar in a series sharing lessons learned and practical suggestions on using routine and other existing data for evaluation and research. This one-hour webinar focused on managing missingness in routinely reported data and explored this through use of District Health Information System 2 (DHIS2) data from the Democratic Republic of the Congo (DRC).
Data for Impact at HSR2020 Data for Impact at HSR2020 The Sixth Global Symposium on Health Systems Research (HSR2020) will bring together policy-makers, practitioners and researchers from more than 100 countries in a global virtual … Read More "Data for Impact at HSR2020"
Use of Routine Data for Economic Evaluations Use of Routine Data for Economic Evaluations In October 2020, Data for Impact held the first webinar in a series sharing lessons learned and practical suggestions on using routine and … Read More "Use of Routine Data for Economic Evaluations"
Routine data use in evaluation: practical guidance Routine data use in evaluation: practical guidance On Thursday, September 24, 2020, Data for Impact hosted a one-hour webinar sharing guidance for using routine data in evaluations. The webinar was … Read More "Routine data use in evaluation: practical guidance"
Dr. Patrick Kayembe—A Public Health Giant; A Valued Colleague Dr. Patrick Kayembe—A Public Health Giant; A Valued Colleague A beloved colleague and teacher, Dr. Patrick Kayembe, died on June 8, in Kinshasa. We at the Tulane School of Public … Read More "Dr. Patrick Kayembe—A Public Health Giant; A Valued Colleague"
Data for Impact to Publish Quarterly Monitor Newsletter Data for Impact to Publish Quarterly Monitor Newsletter With the MEASURE Evaluation project closing soon, we at Data for Impact (D4I) feel it’s important to continue showcasing work being done … Read More "Data for Impact to Publish Quarterly Monitor Newsletter"
Lessons learned in using organizational network analysis for planning and evaluation of global health programs On March 18, 2020. Data for Impact (D4I) hosted the fourth webinar in a series sharing lessons learned in applying complexity-aware methods in global health evaluation and research. This webinar focused on organizational network analysis (ONA).
Lessons learned in using the ripple effects mapping (REM) method for evaluation On February 20, 2020, Data for Impact (D4I) hosted the third webinar in a series sharing lessons learned in applying complexity-aware methods in evaluation. Today, evaluations require methods that are flexible; allow for the complexity of current public health programming in low-resource settings; and address field challenges such as strict budget and time constraints, limited baseline data, and lack of access to comparison groups. Under these circumstances, the Ripple Effects Mapping (REM) method is a useful tool for evaluators.
Lessons learned in using most significant change for evaluation Lessons learned in using most significant change for evaluation Data for Impact hosted a webinar on January 8, 2020 sharing lessons learned in using most significant change for evaluation. Watch … Read More "Lessons learned in using most significant change for evaluation"
