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Data quality data verification and system assessment

Data Quality Review (DQR) - Data verification and system assessment. Presented by David Boone

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Data quality data verification and system assessment

  1. 1. Data Quality Review (DQR) Data verification and system assessment
  2. 2. 2 Facility Survey Component of DQR There are 2 components: ― Data verification – Examines the accuracy of reporting of selected indicators, by reviewing source documents ― System assessment -- Review adequacy of system to collect, compile, transmit, analyze, and use HMIS & program data  Survey at 2 levels ― Health facility ― District
  3. 3. 3 Accuracy: Data Verification Quantitative: Compares recounted to reported data Implement in 2 stages Assess on a limited scale if sites are collecting and reporting data accurately and on time In-depth verifications at the service delivery sites Follow-up verifications at the intermediate and central levels 3
  4. 4. 4 Data Verification Following Data Flow 4
  5. 5. 5 Accuracy: Verification Factor Verification Factor Numerator: Recounted data Denominator: Reported data  Over-reporting: <100%  Under-reporting: >100% Suggested range of acceptability: 100% +/- 10% (90% –110%) 5
  6. 6. 6 Verification factor  Weighted mean of verification ratios  Summarizes information on the reliability of reporting of the data reporting system  Indicates the degree of over-/under-reporting in the system ― e.g. VF = 0.80 indicates that of the total reported number of events, approximately 80% could be verified in source documents -> over-reporting
  7. 7. 7 Verification Factor Example v Indicator 1 Indicator 2 Recounted Reported VF Recounted Reported VF A 1212 1065 1.14 4009 4157 0.96 B 1486 1276 1.16 3518 3686 0.95 C 357 387 0.92 672 779 0.86 D 2987 3849 0.78 1361 1088 1.25 E 4356 4509 0.97 4254 3970 1.07 Data accuracy by district Indicators flagged in red are verification factors ≥ ±10% of 1. 7
  8. 8. 8 Verification Factors Plotted Graphically over-reported underreported 8
  9. 9. 9 Data verification Recommended maximum 5 indicators for review —ANC1, DTP3/Penta 3, ART coverage, TB cases, malaria cases (confirmed) Select a time period for the verification (3 months) — e.g. : July, August, September 2016 For each indicator: —Review the source documents and reports —Recount the number of events —Compare the recount to the reported events —Determine reasons for any discrepancies
  10. 10. 10 System Assessment Indicators Indicator Level Facility District Presence of trained staff X X Presence of guidelines X X No recent stock out of data collection tools X X Recently received supervision and written feedback X X Evidence of analysis and use data X X
  11. 11. 11 System assessment findings by type of facility and ownership Facility type Ownership Health post Health centre Hospital Public Private Overall Number of facilities n=340 n=635 n=182 n=784 n=342 n=1150 % facilities with guidelines 66 63 36 54 61 57 % facilities with trained staff 49 47 26 41 45 42 % facilities without stock-out of forms 88 77 57 73 73 73 % facilities receiving supervision and feedback 48 20 2 14 20 16 % of facilities analyzing and using data 45 43 20 38 47 37 % had all criteria 17 3 0 2 4 2 % mean of items 65 49 33 44 50 46 Overall score 30 44 17 37 32 35
  12. 12. 12 If the sampling permits it, system assessment findings can be disaggregated by strata Facility type Ownership Location Health post Health centre Hospital Public Private Urban Rural Overall Number of facilities n= 340 n= 635 n= 182 n= 784 n= 342 n= 198 n= 1,105 n= 1,150 % with guidelines 66 63 36 54 61 69 54 57 % with trained staff 49 47 26 41 45 56 39 42 % without stock-out of forms 88 77 57 73 73 73 73 73 % receiving supervision and feedback 48 20 2 14 20 22 15 16 % analyzing and using data 45 43 20 38 47 56 33 37 Had all criteria 17 3 0 2 4 4 2 2 Mean of items 65 49 33 44 50 54 44 46 Overall score 30 44 17 37 32 38 34 35

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  • FreweiniGebrehiwot

    Jan. 24, 2019

Data Quality Review (DQR) - Data verification and system assessment. Presented by David Boone

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