Table 1 Pre vs Post-Intervention Change in DPU, DPMO, Yield and SIGMA
From: Reducing defects in the datasets of clinical research studies: conformance with data quality metrics
Measures | Pre-Intervention n = 45 | Post-Intervention n = 21 | ||
|---|---|---|---|---|
Distribution of defects | ||||
Zero defects | 6 (13.3) | 17 (81) | ||
One defect | 8 (17.7) | 2 (9.5) | ||
Two or more defects | 31 (69) | 2 (9.5) | ||
DPU (defects per unit) | 2.33 | 0.57 | ||
DPMO (defects per million opportunities) | 194,444.44 | 47,619.04 | ||
Yield | 80.55 | 95.23 | ||
SIGMA | 2.4 | 3.2 | ||
Pre-intervention datasets | Post-intervention datasets | |||
Not Defective | Defective | Not Defective | Defective | |
Data Capturing Points n (%) | ||||
Single data capturing point (Cross-Sectional studies) | 6 (28.6) | 15 (71.4) | 8 (66.7) | 4 (33.3) |
Multiple data capturing points (Longitudinal studies) | 0 | 24 (100)* | 9 (100) | 0 |
Research Coordinator on board n (%) | ||||
No | 5 (17.9) | 23 (82.1) | 7 (63.60) | 4 (36.4) |
Yes | 1 (5.9) | 16 (94.1) | 10 (100) | 0 |
Principal Investigators (PIs) Requesting Data Analysis n(%) | ||||
Returning PIs | 3 (30) | 7 (70) | 14 (100) | 0 |
New PIs | 3 (8.6) | 32 (91.4) | 3 (42.9) | 4 (57.1)** |