D4I Webinar: Managing missing values in routinely reported data: One approach from the Democratic Republic of the Congo

Data for Impact will be hosting their second webinar in a series disseminating lessons learned and practical motions in using routine and other health data in the monitoring and evaluation process. This month’s hour long will webinar focus on managing missingness in routinely reported data, and will be explored through use of District Health Information System 2 (DHIS2) data from the Democratic Republic of the Congo (DRC). The webinar will be led by Matt Worges, MS, PhD candidate at Tulane University and monitoring and evaluation specialist with D4I. His current research includes assessing the impact of a DRC-based health systems strengthening project designed to increase access to and use of health services.


D4I is conducting an impact evaluation of health systems strengthening activities being implemented in the DRC by the USAID Integrated Health Project (IHP). One evaluation question seeks to determine the impact of the IHP on the utilization of health services over the course of the study period. To answer this question, D4I will use DHIS2 data in a difference-in-differences with propensity score matching model.

Use of DHIS2 data has several advantages, including access to a wide breadth of data elements that cover an array of health service areas, ability to be analyzed at different levels of the health system, and  collection using standardized reporting tools at regular intervals. However, not all data elements are well-reported, and it is typically necessary to clean DHIS2 data before use. This webinar will describe the process the D4I team used to prepare time series data from the DRC DHIS2 in the lead up to the impact evaluation. Emphasis will be placed on managing missing values within the DHIS2.

You can register for the webinar here.