110 likes | 268 Views
Good, Bad and Ugly: Examples from recent DQAs. DQA Problem areas 1:. Reliance on faulty data from secondary source Incomplete reporting Data collection monitoring is out of IP control Data from Pilot program not systematically collected. DQA Problem areas 2:. The BAD. Timing
E N D
DQA Problem areas 1: Reliance on faulty data from secondary source • Incomplete reporting • Data collection monitoring is out of IP control • Data from Pilot program not systematically collected
DQA Problem areas 2: The BAD • Timing • IP is operating on the calendar year, while USAID requires FY data; • Program partner or sub-contractor is late submitting data to reporting IP, making end-of-year totals inaccurate. (eg: WHO data from NTBLCP)
DQA Problem areas 3: Percentage Problems Errors occur when numerators and denominators are not properly defined. Example: Percentage of parents of adolescent girls (13-17) who are married • Numerator: Number of parents of adolescent girls (13-17) who are married • Incorrect Denominator: Total number of parents • Correct denominator: Total number of parents of adolescents girls (13-17) surveyed Important Note: If more than one IP contribute to a percentage type indicator, supply both numerator and denominator to enable average percentage calculation
DQA Problem areas 4: Defining indicators outside of Donor specified range: Example 1: • Donor definition: Proportion of children aged 12-59 months who received a vitamin A supplement in the last 6 months of the total number of children aged 12-59 months surveyed • Partner’s definition: Percent of Children 6-59 months who received Vitamin A Supplement in past 6 months
DQA Problem areas 5: Defining indicators outside of Donor specified range: Example 2: • Donor: the number of pregnant women who received at least 4 ante-natal care visits per pregnancy during a specified period over the total number of live births in the same period • Partner’s definition: Number of times ANC was given during the last pregnancy in the last five years over the number of women who had had a live birth in the last 5 years
DQA Problem areas 6: Translation Translated questions should… • Mean the same thing • Measure the same thing • Meet reliability and validity requirements Example: Hausa Kina da tsapta? (are you clean?) English Are you sterilized? (tubal ligation)
DQA Problem areas 7: Unclear Indicator definitions can produce incompatible data especially when multiple IPs are reporting on the same indicator Example: Number of people reached by ART
Examples of Good data: 1 Buildings Rehabilitated: Classrooms, toilets, roofing, boreholes, teacher/pupils furniture, electrification, temporary shelter and libraries constructed/renovated. Proof: Certificates of Completion of Construction Worksand before and after photographs
Examples of Good data: 2 Number of Insecticide Treated Nets (ITNs) sold: Proof: Field visit of IP and program sites revealed proper record keeping of sales data.
Examples of Good data: 3 Condoms and other contraceptives sold Proof: Cross-checking procedures (waybills, shipping documents, bank receipts, product inventories and distribution documents) significantly reduced the chances of transcription error, thus improving data accuracy.