PCA automatically generates DHIS2 analytics to support the work of H2 users at the field level (quality supervisors) as well as at the central level (headquarters overview). This is achieved by automatically generating a series of DHIS2 Program Indicators that are used to create various visualizations as detailed below

In-App Analytics (android only)

When using H2 in an android device with DHIS2 or PSI’s android fork, for versions 2.6 or greater, you can include in the setup DHIS2 visualizations that use the local information of the device to display data.

PRE-REQUISITE: the server that you connect to has the DHIS2 Android config app installed and initiated.

On the analytics page, it is possible to find the different groups of program lists at the top where can be selected any program the user has available according to the applied filters.

In-App Chart 1

The first visualization is a pie chart showing the accumulated absolute and percentage value for the competency classes presented in the program selected. The chart could be displayed also as table if necessary and has filters options for periods and organization units.

In-App Chart 2

The second visualization is a table showing the absolute value (counting) for the competency classes presented in the program selected. The table combines at row level the competency classes and at column level the last 6 months. The chart could be displayed also as bar chart, line chart, and bullet chart if necessary and has filters options for periods and organization units.

In-App Chart 3

The last visualization is a similar table to the last one and shows the absolute value (counting) for the competency classes presented in the program selected. The table combines at row level the organizaztion units and at column level the competency classes. The chart could be displayed also as bar chart, line chart, and bullet chart if necessary and has filters options for periods and organization units.

DHIS2 Global Analytics

PCA automates the creation of the dashboard for H2 programs. It contains 6 elements consisting of: 4 Visualizations, 1 Map and 1 Event Report. The Dashboard will be named according to the assigned program name, as well as assigned the same sharing permissions.

Program Settings for Analytics

We use the following program variable to configure its analytics:

1. User organization unit: if selected, it will allow the creation of Column, Stacked Column and Pivot Table type visualizations.

2. Root Organizational Unit: Select an OU, for Pivot Table, Map and Event Report Line List type visualization.

3. Organizational Unit Level: Select the OU level in which the information displayed in the Pivot Table and Line List type event report display will be segmented.

4. Map Organizational Unit Level: You must select the OU level in which the information shown in the map will be segmented.

Object 1 – Pivot Table

This pivot table type visualization will show you the average score per district over the last 12 months. We use the following variables to set up this visualization:

Object 2 – Stacked Column

This Stacked Column type visualization will show you the competency class over a range of the last 4 quarters. We use the following variables to configure this visualization:

Object 3 – Column

This Column type visualization will show you the overall score over a range of the last 12 months. We use the following variables to configure this visualization:

Object 4 – Pivot Table

This Pivot Table visualization will show you the number of evaluations in a range of the last 12 months. We use the following variables to configure this visualization:

Object 5 – Map

This map with basemap osmLight, will show you the overall score over a range of the last 12 months. We use the following varialbes to configure this visualization:

Object 6 – Event Report

This event report with table style line list, will show you the overall score over a range of the last 12 months. We use the following varialbes to configure this visualization:

Shared Indicators

As part of the PCA automatic metadata generation, the following Program indicators are created and kep up to date: