Administrator Guide

About this project

The NTD DHIS2 database project seeks to develop a stand-alone national NTD database using DHIS2 software. This system is designed around the data elements and disaggregations required to complete annual drug donation reporting forms such as the Joint Reporting Form (treatments distributed for LF, Oncho, STH, and SCH), the Epidemiological Reporting Form (epidemiological surveys for LF, Oncho, STH, and SCH to determine baseline endemicity or update endemicity status), and the Trachoma Elimination Monitoring Form (both treatments and endemicity data). These forms can be found here:

Joint Application Package (JRSM, JRF, EPIRF) https://www.who.int/teams/control-of-neglected-tropical-diseases/preventive-chemotherapy/joint-application-package

Trachoma Elimination Monitoring Form https://www.trachoma.org/zithromax-management-guide

The NTD database is designed to be a downstream data store, where data will be collected and aggregated by other systems, such as global survey tools, HMIS, or national or partner systems. The NTD database is designed to import annual reporting forms, which are produced through processes outside of this system, and store those data in a central, nationally owned, database. The NTD database could be a resource for completing those forms if data collection and reporting systems and tools are integrated with the NTD database. In this guide we will discuss such integrations.

NTD DHIS2 database to aggregate all NTD programmatic data

Introduction

Is the NTD DHIS2 database a good fit for your use case?

The NTD DHIS2 database is designed to help national programmes to implement a NTD database, at national level, which stores all programmatic data that are reported on annual reporting forms. These data can be augmented to include data which could be programmatically important but not captured on annual reporting forms. Examples of such data could be research data, entomology data, human resource and training data, and budget data. The addition of these data is outside of the scope of this document. For guidance, please see the DHIS2 fundamentals or other training on how to add new data elements and category combinations along with data entry forms.

The NTD DHIS2 database is a good fit for national programmes who want to have a single database, which is accessible at national, sub-national, and global levels, and can provide data visualizations of these data to encourage engagement and use. The NTD DHIS2 database is not meant to compete with national health management information systems (HMIS), which likely also uses DHIS2 software. Rather, the NTD DHIS2 database is designed to aggregate data from HMIS, survey, research, and other sources, into a single database.

To learn more about the DHIS2 data model click here.

Does the NTD DHIS2 database affect how I collect or report data?

It is unlikely that the NTD DHIS2 database affects how you collect or report data. The NTD DHIS2 database is integrated with a number of systems that will automatically pull data into the database without any changes to the existing workflow. For example, if you are conducting a Trachoma Impact Survey (TIS) using Tropical Data, these survey results will be automatically shared with the NTD DHIS2 database through system integration with Tropical Data. Another example is reporting numbers treated during an MDA. Numbers treated are reported in HMIS by the Health Information Technology Department. These treatment data will be automatically added to the NTD DHIS2 database through system integration with HMIS. If you have questions about who specific data are included in the NTD DHIS2 database, please contact the M&E Advisor at the FMOH.

Getting started

Software

To get started you will need to have a DHIS2 database running on either your local computer or accessible from a central server. You will need the NTD DHIS2 database meta data [LINK], which defines the data elements and category combinations needed to store annual reporting form data. You will need a list of administrative units and the admin hierarchy. These data will be matched against the data you import to satisfy the “where” dimension of DHIS2 databases. You will need to add the following DHIS2 apps from the app store: X Y Z Additionally, WHO is working on metadata packages that might be another source for adding indicators to the NTD DHIS2 database. You can find a list of those metadata packages here: https://dhis2.org/who/

Hosting

The NTD DHIS2 Database1 for Ethiopia is currently hosted by BAO Systems2, a leading DHIS2 cloud hosting provider. BAO Systems provides nightly backups of the database and server administration support for server upgrades and is managed through their management portal (see Figure 1 below). The monthly fees for this service are billed annually at $144/month. The current service contract with BAO Systems expired on November 30th, 2020. If necessary, moving this database to another cloud hosting provider or even an on-premise server within the FMOH is possible with the support of a DHIS2 server administrator.

Portal

Data model

The NTD DHIS2 data model consists of 11 datasets

Dataset Name

Description

Data Collection Period

Organization Unit Level

ESPEN Forecast

Impact Assessment forecasts and MDA forecasts at the district level populated from the ESPEN Portal.

Annual

Woreda

Implementation Partners

Implementation partners fro NTD, MDA and WASH

Annual

Woreda

Integrated NTD Reporting Form

The FMOH reporting form for tracking NTD across the 5 PC NTDs

Annual

Woreda

Integrated NTD Reporting Form (Pre 2018)

The FMOH reporting form for tracking NTD across the 5 PC NTDs used prior to 2018

Monthly

Woreda

Joint Reporting Form (JRF)

Treatment data across drug packages used for WHO reporting

Annual

Woreda

Joint Request for Select Medicines (JRSM)

Treatment planning across drug packaged used for WHO reporting

Annual

Woreda

LF Morbidity Management and Disability Prevention

Country level MMDP summary statistics for Lymphedema and Hydrocele

Annual

Country

National Demographics

National annual projection percentages for population growth and presac/sac and adult population percentages

Annual

Country

Sanitation Microplanning

Sanitation microplanning data supported by UNICEF

Annual

Woreda

Trachoma Data

Survey statistics and Treatment data fro Trachoma used for IT reporting.

Annual

Woreda

Tropical Data

Survey statistics and Treatment data fro Trachoma used for IT reporting imported from Tropical Data

Annual

Woreda

User Roles

There are currently 4 types of users in the system including National Data Manager, Regional Data Manager. These roles for the NTD Database for DHIS2 are based on the recommendations for user management in a health system.

Role

Tasks

Configuration

National Data Manager

Review data across all regions

Use data analytics apps for analysis and reporting

Data capture and maintenance organization units in the user’s profile set to country level

User role in the user’s profile set to Data Manager

User group set to National Dashboard Users

Regional Data Manager

Review data across one region

Use data analytics apps for analysis and reporting

Data capture and maintenance organization units in the user’s profile set to a specific regional level

User role in the user’s profile set to Data Manager

User group set to Regional Dashboard Users

District Data Officer

Enters data across one region

Use data analytics apps for analysis and reporting

Data capture and maintenance organization units in the user’s profile set to district level

User role in the user’s profile set to Data Entry Officer

System Administrator

Edit Metadata

Add new users

Data capture and maintenance organization units in the user’s profile set to country level

User role in the user’s profile set to Superuser

Metadata Download

There are two metadata packages to support the basic configuration offered in this the NTD Database

Package Name

DHIS2 Version

Package Version

Metadata

Updated

ESPEN Forecast

2.35.10

V1.0

Download Package

18 May 2022

Data Import

The NTD Database supports data import from several different data sources including Microsoft Excel, Tropical Data, ESPEN Portal, and NTD Deliever.

Microsoft Excel

Using the Data Import Wizard app, this annual JRF, EPIRF, JRSM, TEMF, and WASH Excel workbook can be imported directly into the database.

File

Dataset/Program

Mapping Name

Example Import

Joint Request Form

Joint Reporting Form

Joint Reporting Form

JRF 2018 Import File.csv

EPIRF

LF Morbidity management and disability prevention

EPIRF LF Morbidity - All Years

EPIRF 2016 Import File.csv

JRSM

Joint Request for Select Medicines

Joint Request for Select Medicines

JRSM 2018 Import File.csv

TEMF

Trachoma Data

Trachoma Elimination Monitoring Form (TEMF)

TEMF 2018 Import File.csv

Unicef Sanitation Microplanning

Sanitation Microplanning

Sanitary Microplanning at the Woreda Level

unicef-wash-import-file.csv

STH

ESPEN STH EPI RF

STH Survey Import from ESPEN

sth import for espen.csv

SCH

ESPEN SCH EPI RF

SCH Survey Import from ESPEN

sch import for espen.csv

  1. If it’s not already, install the Data Import Prepare the import file. All imported data need to conform to the value type of each data element. For example, data elements defined as Integers should be whole numbers.

  2. Create the Mapping. In DHIS2, navigate to the Data Import Wizard and select Aggregate from the menu and click on the appropriate mapping for the file type being imported. When prompted for an import file, sel

  3. Review the import data and Import Summary screen and make corrections to the mapping or the data import file as needed.

Data Import Screenshot

The Second Data Import Screenshot

Tropical Data

Tropical Data is an online database of Trachoma survey data started by the Global Trachoma Mapping Project (GTMP). The NTD DHIS2 database pulls data from Tropical Data. This process works by executing a script which exports data using the Tropical Data API and then transforms it into a file that can be imported. This script and its documentation can be found here in NTD DHIS2 database code repository.

WHO ESPEN Portal

The ESPEN Portal is an electronic platform designed to enable health ministries and stakeholders to share, and exchange subnational program data, in support of the NTD control and elimination goals. The Expanded Special Project for Elimination of Neglected Tropical Diseases (ESPEN) was established as a partnership between WHO Regional Office for Africa (AFRO), the Member States and NTD partners The NTD DHIS2 database pulls data from ESPEN Portal. This process works by executing a script which exports data using the ESPEN Portal API and then transforms it into a file that can be imported. This script and its documentation can be found here in the NTD DHIS2 database code repository.

NTDeliver

NTDeliver is an online platform that centralizes and coordinates information from a variety of sources to better monitor and evaluate the NTD supply chain. The NTD DHIS2 database provides a view to the NTDeliver country summary report with a link provided on the Reports dashboard.

Questions

For questions on the DHIS2 for NTD, please post visit the DHIS2 Community of Practice.


1

https://ethiopia.integratedntddb.org/

2

https://www.baosystems.com/