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Introduction
RDQA DHIS2 metadata package provides an out-of-the-box DHIS2 configuration that allows DHIS2 system administrators efficiently establish a routine quality assessment module within DHIS2. The RDQA metadata package creates data quality assessment tools that will enable data assessors to capture inputs using a DHIS2 Android app and provide outcomes and analysis in real-time using standardized DHIS2 dashboards, allowing for improved data quality and decision-making at facility, district, and country levels. As gaps are identified, management can allocate resources and technical assistance where needed.
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The system needs to be configured with your Health Areas and Indicators list. You can also tailor the feedback content, action plan level of detail, and district and country-level dashboards.
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DHIS2 Data Quality App - What's that?
DHIS2 includes a built-in "Data Quality" app that allows users to analyze data quality in various ways. The app reports the individual Organization Unit and period for which a particular value is an outlier or violates a specific validation rule.
At the point of data entry, DHIS 2 can check the data entered to see if it falls within the minimum and maximum value ranges of that data element (based on all previous data registered).
By defining validation rules, which can be run once the user has finished data entry. The user can also check the entered data for a particular period and organization unit(s) against the validation rules and display the violations for these validation rules.
By analyzing data sets, that is, examine gaps in the data.
By data triangulation, that is, comparing the same data or indicator from different sources.
DHIS 2 Validation Rules
A validation rule is a 'boolean' expression, as it can only result in true or false when evaluated. A 'left side' could contain any number of data elements or a number, followed by a logical operator (greater than, less than, equal to…), which is compared to a 'right side.' If the evaluation is not met, a report indicating what value/ period/ org unit triggered the violation is generated for further inquiries.
Additionally, validation rules can be run during data entry or as a periodic process sent as DHIS2 messages.
DHIS2 outlier analysis
DHIS2 allows you to run two types of outlier analysis post-data entry:
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Read more at DHIS2 Documentation
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RDQA and the DHIS2 Data Quality App: What's the difference?
Think of RDQA and the DHIS2 Data Quality app as peanut butter and jelly. They are two completely different tools, but when used together, they become a powerful combination to improve data quality at your organization.
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