collecting high-quality data. m&e plan frameworkindicators data collection data quality data use...
TRANSCRIPT
Data Quality:
How well our M&E data “tell the true story.”
Data Quality:
How well our M&E data “tell the true story.”
Actual
Results
Actual
ResultsReported
Results
Reported
Results
What is Data Quality?
?
Adapted from: http://www.cpc.unc.edu/measure presentation by Win Brown, USAID/South Africa, School of Health Systems and Public Health, Monitoring and evaluation of HIV/AIDS Programs, Data Quality; March 2, 2011.
Elements of Data Quality
Validity Data measure what they are supposed to measure.
ReliabilityEveryone defines, measures, and collects data the same way—all the time.
CompletenessData include all of the values needed to calculate indicators. No variables are missing.
Precision Data have sufficient detail. Units of measurement are very clear.
Timeliness Data are up to date. Information is available on time.
IntegrityData are true. The values are safe from deliberate bias and have not been changed for political or personal reasons.
Adapted from: http://www.cpc.unc.edu/measure presentation by Win Brown, USAID/South Africa, School of Health Systems and Public Health, Monitoring and evaluation of HIV/AIDS Programs, Data Quality; March 2, 2011.
Validity and Reliability: Hitting the Target
NOT ValidNOT Reliable
Reliable butNOT valid
X X X X X X X X X X
XXX XXXXXXX
Reliable AND Valid!!!
XXX
XXXXXXX
Adapted from: http://www.cpc.unc.edu/measure presentation by Win Brown, USAID/South Africa, School of Health Systems and Public Health, Monitoring and evaluation of HIV/AIDS Programs, Data Quality; March 2, 2011.
Precision
Indicator Description
Treatment success rate Cure PLUS completed treatment
Indicator Description
Treatment success rate All patients in the cohort:- with smear conversion and - who completed full coursenegative smear at 5 months of treatment but do not PLUS meet cure definition
DIVIDED BY:Total number of smear-positive patients in the treatment cohort
MULTIPLIED BY: 100
Which indicator description will yield the most precise result?
Completeness
Often related to:• ease of collecting and reporting data• data sources• training
NGOpartner
Number of members participating in social
mobilizationComment
Friends of TB Not available Participant log not maintained
TB Matters 10
TB Helpline Not available Unclear how to determine who actively participated
Stop TB NOW! 12
TOTAL ???
Timeliness
1. Are we meeting internal and external deadlines?• Communicate expectations clearly.• Offer support to collect/analyze where needed
(budget?).
2. Are we analyzing results often enough to be useful for program management?• The sooner we know about a problem, the sooner
we can fix it!
Integrity
• Often difficult and sensitive topic.• Routine verification from the start can help
avoid bias of any kind.
• A partner submits perfect reports every month on time and meets or exceeds targets.
• A partner submits reports with a few errors every month, sometimes 1-2 days late; usually meets or comes close to targets.
Which data would you verify and why?
Data Quality Plans
How can we ensure: Strategy Resources
Validity
Reliability
Completeness
Precision
Timeliness
Integrity