Data Quality Archives

Outliers: Outlier table

Learn how to use the built in outlier table within the data visualizer app.

Outliers: Outlier analysis

Learn how to use the built in outlier analysis.

Outliers – Outlier Identification and Metric Calculation in DHIS2

Learn how DHIS2 displays outliers on dashboards and how to drill down through visualization tools to pinpoint the root organisation unit responsible for extreme values.

Outliers – Introduction to Outlier Analysis

Learn how outliers are calculated using sample data, including how mean and standard deviation are used to define thresholds and identify values that stand out.

Consistency of Related Data – Introduction to Outliers

Learn what an outlier is and receive an introduction to different methods that can be used to identify them within DHIS2

Consistency of Related Data – Introduction to Dropout Rates

Learn how dropout rates can help you assess data consistency in programs where people should attend a sequence of scheduled services, and identify values that fall outside the expected pattern for follow-up.

Consistency of Related Data – Scatterplots

Learn how scatter plots can help you assess the consistency of related data and identify values that fall outside the expected pattern for follow-up.

Facilities consistently reporting – Identifying and investigating potential issues

Learn how to determine whether low “Facilities consistently reporting” performance reflects inconsistent reporting or other factors, and how to identify facilities needing follow‑up action.

Facility Consistently Reporting: Overview

Learn about the data indicator “Facilities consistently reporting” and how it is calculated in DHIS2.

Data element completeness – Using facilities previously reporting as a denominator

Learn how to review data element completeness when facilities consistently reporting is used as the denominator in the indicator calculation.

Data element completeness – Using expected reports as a denominator

Learn how to review data element completeness when the expected number of reports are used as the denominator in the indicator calculation.

Validation Notifications

Learn how validation notifications work and set up automated alerts when validation rules are violated.

Validation Rule Analysis Using a Threshold

Learn how to use validation rules and the Data Visualizer to compare internally collected values with a generated statistical threshold and identify outliers.

Validation Rule Analysis

Learn how validation rules can be reviewed in bulk, allowing you to multiple facillties with validation rule violations based on selected time periods and validation rule groups.

Validation Rules in Data Entry

Learn how validation rules are reviewed when entering data into DHIS2 – serving as one of the primary methods for preventing data quality issues when working with aggregate data.