The overall utility of a database(s) as a function of its ability to be processed easily and analyzed for a database, data warehouse, or data analytics system
Data quality
What are the 8 aspects of data quality?
It is a perception of the data’s ____ to serve its purpose in a given context
appropriateness
This can be done to raise the quality of available data
Data cleansing
This is a tool that allows the use of small random samples to distinguish between groups of data elements (or Lots) with high and low data quality
Lot Quality Assessment Sampling (LQAS)
For health managers and supervisors, using ____ makes conducting surveys or supervision more efficient
small samples
This technique has a wide application in the industry for decades and has primarily been used for quality assurance of products
LQAS
The concept and application of LQAS has been adopted in the context of ____ data quality assurance
District Health Information System
Group of data elements as ‘____’ to provide representative samples for data quality assurance of DHIS
Lots
Steps in Applying LQAS
Define the ____ to be assessed
service
Steps in Applying LQAS
Identify the unit of ____: a supervisory area, facility, hospital, a district
interest
Steps in Applying LQAS
Define the higher and lower thresholds of ____ based on prior information about the expected performances of the region of interest
performance
Steps in Applying LQAS
Determine the level of ____
acceptable error
“acceptance error” in erudite
Steps in Applying LQAS
From a table, determine the sample size and decision rule for acceptable errors to declare an area as performing “____”
below expectations
Steps in Applying LQAS
The number of errors observed (mismatched data elements) will determine ____ if the facility is performing below or above expectations
reliability
A simplified version of the Data Quality Audit (DQA) which allows programs and projects to verify ans assess the quality of their reported data
Routine Data Quality Assessment (RDQA)
This also aims to strengthen their data management and reporting systems
Routine Data Quality Assessment (RDQA)
Objectives of Routine Data Quality Assessment (RDQA)
the quality of reported data for indicators at selected sites
verify rapidly
Objectives of Routine Data Quality Assessment (RDQA)
the ability of data mangement systems to collect, manage, and report quality data
verify rapidly
Objectives of Routine Data Quality Assessment (RDQA)
corrective measures with action plans for strengthening the data management and reposrting system and improving dataa quality
implement
Objectives of Routine Data Quality Assessment (RDQA)
capacity improvements and performance of the data management and reporting system to produce quality data
monitor
The ____ is designed to be flexible in use and serve multiple purposes
Routine Data Quality Assessment (RDQA)
Uses of Routine Data Quality Assessment (RDQA) tool
____ can be included in already planned supervision visits at the service delivery sites
Routine data quality checks
Uses of Routine Data Quality Assessment (RDQA) tool
____ of a system’s ability to collect and report quality data at all levels can be used to identify gaps and monitor necessary improvements
repeated assessments