Using routine information to conduct facility-level efficiency analysis Using routine information to conduct facility-level efficiency analysis Data for Impact hosted a webinar on using routine information to conduct facility-level efficiency analysis in March 2021. This was the next … Read More "Using routine information to conduct facility-level efficiency analysis"
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).
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"
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 and Approaches to Support the Capacity Strengthening Priorities of Local Partners On April 5, 2019 Data for Impact hosted a webinar that shared experience from multiple projects in adapting and managing tools to strengthen the capacity of organizations in low- and medium-resource countries to conduct public health programs independently.
Beyond Assessments: Capacity Strengthening Experiences of Local Partners During this webinar from June 18, 2019, presenters from two organizations in Kenya and Southern Africa shared experiences in identifying opportunities and gaps for institutional strengthening to build technical and institutional capacity in preparation to apply for and manage direct awards from USAID or other donors.
Lessons learned in using process tracing for evaluation Lessons learned in using process tracing for evaluation Data for Impact (D4I) hosted a one-hour webinar on October 17, 2019 that shared lessons learned in using process tracing for evaluation. … Read More "Lessons learned in using process tracing for evaluation"