HMIS Data Quality (Lesson 8)

Question 1

The overall utility of a dataset as a function of its ability to be processed easily and analyzed for the database

Answer 1

Data Quality

Question 2

What are the aspects of Data Quality

Answer 2

• Accuracy
• Completeness
• Relevance
• Consistency
• Reliability
• Presentability
• Accessibility

Question 3

A tool that allows the use of small random samples to distinguish between different groups of data elemts

Answer 3

Lot Quality Assurance Sampling

Question 4

What is RDQA

Answer 4

Routine Data Quality Assessment

Question 5

What is a tool and is a simplified version of the data quality audit which allows programs and projects to verify and assess the quality of their reported data?

Answer 5

Routine Data Quality Assessment

Question 6

A problem-solving method aimed at identifying the root causes of problems or events instead of simple addressing the obvious symptoms

Answer 6

Root Cause Analysis

Question 7

What are the techniques involved in the Root cause analysis

Answer 7

Failure Mode and Effect Analysis (FMEA)

Pareto Analysis

Fault Tree Analysis (FTA)

Current Reality Tree (CRT)

Fishbone or Ishikawa or Cause-and-effect diagram

Kepner-Tregoe Technique

RPR Problem Diagnosis

Question 8

What is the DQA

Answer 8

Data Quality Audit

Question 9

What are the objectives of RDQA?

Answer 9

Rapidly Verify the quality of reported data for key indicators at selected sites

Implement corrective measures with action plans for strengthening data management and reporting system and improving data quality

Monitor capacity improvements and performance of data management and reporting systems to produce quality data