Due to the COVID-19 pandemic, health care systems around the world are struggling to meet the demands on physical resources, human resources, and service coordination. Little is known about how the outbreak and containment policies of COVID-19 affect the provision of routine essential health services including maternal and child health, chronic disease, surgical, and other infectious disease care.

Aims of the Study

We have collected health management information system (HMIS) data to identify how the COVID-19 pandemic and containment policies have impacted health service delivery and institutional mortality due to non-COVID conditions. A sub-aim of this study is to develop methods for cleaning routine health data and to provide data quality improvement recommendations for future health systems research.

With support from the Grand Challenges ICODA pilot initiative, 7 countries have formed a consortium, to analyze HMIS data. This effort provides near real-time insights into how health system performance is changing during the COVID-19 pandemic by:

1. Describing the effect of the COVID-19 pandemic on service delivery and quality of care, while identifying the most impacted services
2. Describing the effect of the COVID-19 pandemic on institutional mortality due to COVID and non-COVID conditions
3. Identifying the differential effects of COVID-19 containment policies (e.g. curfews, business closures, school closures, and stay-at-home requirements) on health system resilience
4. Describing the quality of HMIS/DHIS2 data before and during the pandemic and providing policy recommendations for improving these data systems

Data Dashboards

We have developed interactive data dashboards using HMIS data to compare 2019 and 2020 health care utilization and care quality. Select a country on the right to view the dashboard. Additional dashboards are forthcoming.

‍

Listen to presentations by researchers working on the Health System Resilience during COVID-19 Study