Article Figures & Data
Figures
- Figure 1.
Distribution of the participants rating of the key components of quality management in their laboratories.
- Figure 2.
Distribution of the laboratories change of SLIPTA scores from 2017 to 2019.
- Figure 3.
Barriers to LQMS implementation as identified by participants.
Tables
Rating Interquartile Range Variable Mean SD Staff level 6.4 2.8 5–9 Financial resources 5.4 2.7 3–8 Laboratory staff commitment 7.2 2.3 6–9 Laboratory staff LQMS knowledge 7.1 2.0 6–9 Laboratory management LQMS knowledge 7.6 2.0 6–10 Hospital management LQMS knowledge 5.8 2.5 4–8 Year Mean Standard
DeviationMedian Interquartile Range Score Star Level 2017 (n = 10) 178.2 2 40.9 177.5 143 211 2018 (n = 9) 194.4 2 32.9 194.4 172 208 2019 (n = 7) 233.3 4 20.5 231 202 240 Variable Odds Ratio 95% Confidence Interval P value LQMS tool used 0.40 0.12–1.41 .15 Staffing levels 1.7 1.51–5.63 .39 Infrastructure 5.19 0.35–76.3 .23 Commitment by staff 0.34 0.75–1.81 .22 Laboratory staff knowledge of LQMS 0.06 0.004–0.80 .03* Laboratory management knowledge of LQMS 0.22 0.06–0.80 .022* Hospital management knowledge of LQMS 0.41 0.16–1.02 .056 Workload 3.61 1.41–9.22 .007* *P < .05: a significant predictor for successful implementation of LQMS.
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Keywords
- AFRO - Regional Office for Africa
- CI - confidence interval
- ILAC - International Laboratory Accreditation Committee
- IQR - interquartile range
- ISO - International Organization for Standardization
- LQMS - Laboratory Quality Management Systems
- OR - odds ratio
- SATBHSS - Southern Africa TB and Health Systems Strengthening
- SD - standard deviation
- SLIPTA - Strengthening Laboratory Quality Improvement Process Towards Accreditation
- SLMTA - Strengthening Laboratory Management Towards Accreditation
- TB - tuberculosis
- WHO - World Health Organization
- SLIPTA
- accreditation
- Laboratory Quality Management System
- barriers