MAP Newborn Data

The EN-MINI Tool 0 is designed to MAP newborn data in your context as it moves up the data pyramid from the facility registers and up the data pyramid (Figure 4).

Figure 4. EN-MINI Tools: Map Newborn Data

Map Newborn Data EN-MINI Tool 0
UsesThis tool generates automated reports with text and figures in five sections:
1. Summary of all completed RHIS newborn data mapping
2. Electronic RHIS newborn indicator and data element availability
3. All-level RHIS newborn indicator and data element availability
4. Newborn indicators and data element availability with definitions that differ from WHO (or other nationally recommended definitions)
5. Total RHIS load summary to inform streamlining data sources to reduce burden on frontline health workers or the RHIS
UsersTeams of national/subnational policymakers, newborn program stakeholders, and RHIS technical experts working to improve data for action
Tool accessDownload Map Newborn Data EN-MINI Tool 0
How to use the tool
Enter your data (facility registers, tally sheets, summary form, electronic RHIS) directly into the excel mapping tool form.
Follow the steps to:
• Review WHO standard indicator definitions, adapt for national recommendations, add any additional indicators you want to map
• List the data element (columns) in the data sources (facility registers, tally sheets, summary form, electronic RHIS)
• Map data elements (columns) to definitions
Mapping registers and eRHIS for newborn data typically takes 2–3 days.
Data analysisUpload your completed excel to generate your report.
Access reports from the 2022 pilot study in Tanzania and Bangladesh.
Practice generating a report by uploading example data here, and check the report you generate against the example of the report output found here.
BriefDownload the EN-MINI Tools for Routine Health Information Systems brief.

Return to the EN-MINI homepage or overview.

EN-MINI tools were produced with the support of the United States Agency for International Development (USAID) under the terms of the Data for Impact (D4I) associate award 7200AA18LA00008, which is implemented by the Carolina Population Center at the University of North Carolina at Chapel Hill, in partnership with Palladium International, LLC; ICF Macro, Inc.; John Snow, Inc.; and Tulane University. The views expressed do not necessarily reflect the views of USAID or the United States government.