| Literature DB >> 33228675 |
Mercy A Okezue1,2, Mojisola C Adeyeye3, Steve J Byrn4, Victor O Abiola3, Kari L Clase5.
Abstract
BACKGROUND: The number and severity of nonconformities generated during an audit of a medicine testing laboratory indicates its level of quality compliance. Quality standards are established and maintained to ensure the reliability of laboratory test reports. The National Medicines Regulatory Authority (NMRA) Quality Control laboratories assess the quality of medicines used by the populace as part of their regulatory function. Although countries desire to have reliable medicine testing facilities, accrediting a national laboratory to international standards poses financial and technical challenges for many low-income countries. Sharing the benefits of laboratory accreditation could help more countries within sub-Saharan Africa overcome existing challenges to achieve accreditation and robust quality systems. This study investigated the impact of ISO/IEC 17025 accreditation on the performance of an NMRA Quality Control laboratory to provide evidence of improved quality compliance within a low-resource setting.Entities:
Keywords: Accreditation; Audits; ISO/IEC17025: 2005; Nonconformities; Quality control laboratory; Sub-Saharan Africa
Mesh:
Year: 2020 PMID: 33228675 PMCID: PMC7686690 DOI: 10.1186/s12913-020-05934-8
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Summary Statistics
| Year | |||
|---|---|---|---|
| 2013 | 2017 | 2018 | |
| ISO clauses audited (#) | 25 | 25 | 25 |
| Total NCs | 93 | 7 | 14 |
| Mean # NCs | 3.72 | 0.28 | 0.56 |
| Std. Dev. | 2.65 | 0.54 | 0.92 |
Summary of nonconformities for one pre- and two post-accreditation audits. Twenty-five (25) ISO/IEC 17025 clauses were evaluated each year. The total # of nonconformities decreased post accreditation years, 2017 and 2018
Summary of management and technical nonconformities
| # of NCs | 2013 | 2017 | 2018 |
|---|---|---|---|
| Management Requirements | 46 | 3 | 6 |
| Technical Requirements | 47 | 4 | 8 |
| Total # of NCs | 93 | 7 | 14 |
Total number of management and technical nonconformities (NCs) for the laboratory improved pre- to post-accreditation
ANOVA summary
| Source of Variation | SS | df | MS | F | R2 | |
|---|---|---|---|---|---|---|
| Between Years | 2281 | 2 | 1140 | 1140 | 4.76e-05* | 0.9987 |
| Within Years | 3 | 3 | 1 | |||
| Total | 2284 | 5 |
*significant p-value for comparing nonconformities between audit periods
Summary Chi-squared test for paired years
| # of NCs | χ2 | Cohen’s | effect-size | |
|---|---|---|---|---|
| Pair 1: 2013–2017 | 73.96 | 9.99e-05* | 1.796 | 0.668 |
| Pair 2: 2013–2018 | 58.33 | 9.99e-05* | 1.592 | 0.623 |
| Pair 3: 2017–2018 | 2.33 | 0.198 |
Chi-squared test with simulation, compared the number of nonconformities (NCs) pre-post accreditation, gave significant p-values when pre-accreditation year (2013) was paired with post-accreditation years, 2017 and 2018 respectively. Non-significant p-value was obtained for post accreditation years comparison
*p is significant < 0.05, NB: Bonferroni corrected significance level for alpha = 0.5 is 0.05/3 = 0.017
Fig. 1Summary of total number of nonconformities (NCs) pre- and post-accreditation. Total number of NCs for the laboratory declined pre- to post-accreditation
Fig. 2Summary for severity of laboratory’s nonconformities (NCs) pre- and post-accreditation, show major management and technical NCs decreased post accreditation. There were decreased numbers of major NCs, for both management and technical requirements, pre to post-accreditation years of audits
Summary Chi-squared test for severity of nonconformities
| Total # of Major NCs | χ2 | |
|---|---|---|
| Pair 1: 2013–2017-2018 | 84.5 | 9.99e-05* |
| Pair 2: 2013–2017 | 51.96 | 9.99e-05* |
| Pair 3: 2013–2018 | 40.5 | 9.99e-05* |
| Pair 4: 2017–2018 | 1.92 | 0.2722 |
Chi-squared test with simulation compared the number of major nonconformities pre-post accreditation, and gave significant p-values when pre-accreditation year (2013) was paired with post-accreditation years 2017 and 2018, respectively. A non-significant p-value was obtained for the major NCs post-accreditation year comparison (2017–2018)
*p is significant < 0.05, *Bonferroni corrected significance level for alpha = 0.5 is 0.05/3 = 0.0167