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Weekly laboratory turn-around time identifies poor performance masked by aggregated reporting

BACKGROUND: High-level monthly, quarterly and annual turn-around time (TAT) reports are used to assess laboratory performance across the National Health Laboratory Service in South Africa. Individual laboratory performances are masked by aggregate TAT reporting across network of testing facilities....

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Autores principales: Coetzee, Lindi-Marie, Cassim, Naseem, Glencross, Deborah K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AOSIS 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756605/
https://www.ncbi.nlm.nih.gov/pubmed/33392052
http://dx.doi.org/10.4102/ajlm.v9i1.1102
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author Coetzee, Lindi-Marie
Cassim, Naseem
Glencross, Deborah K.
author_facet Coetzee, Lindi-Marie
Cassim, Naseem
Glencross, Deborah K.
author_sort Coetzee, Lindi-Marie
collection PubMed
description BACKGROUND: High-level monthly, quarterly and annual turn-around time (TAT) reports are used to assess laboratory performance across the National Health Laboratory Service in South Africa. Individual laboratory performances are masked by aggregate TAT reporting across network of testing facilities. OBJECTIVE: This study investigated weekly TAT reporting to identify laboratory inefficiencies for intervention. METHODS: CD4 TAT data were extracted for 46 laboratories from the corporate data warehouse for the 2016/2017 financial period. The total TAT median, 75th percentile and percentage of samples meeting organisational TAT cut-off (90% within 40 hours) were calculated. Total TAT was reported at national, provincial and laboratory levels. Provincial TAT performance was classified as markedly or moderately poor, satisfactory and good based on the percentage of samples that met the cut-off. The pre-analytical, testing and result review TAT component times were calculated. RESULTS: Median annual TAT was 18.8 h, 75th percentile was 25 h and percentage within cut-off was 92% (n = 3 332 599). Corresponding 75th percentiles of component TAT were 10 h (pre-analytical), 22 h testing and 1.6 h review. Provincial 75th percentile TAT varied from 17.6 h to 34.1 h, with three good (n = 13 laboratories), four satisfactory (n = 24 laboratories) and two poor performers (n = 9 laboratories) provinces. Weekly TAT analysis showed 12/46 laboratories (28.6%) without outlier weeks, 31/46 (73.8%) with 1–10 outlier weeks and 3/46 (6.5%) with more than 10 (highest of 20/52 weeks) outlier weeks. CONCLUSION: Masked TAT under-performances were revealed by weekly TAT analyses, identifying poorly performing laboratories needing immediate intervention; TAT component analyses identified specific areas for improvement.
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spelling pubmed-77566052020-12-31 Weekly laboratory turn-around time identifies poor performance masked by aggregated reporting Coetzee, Lindi-Marie Cassim, Naseem Glencross, Deborah K. Afr J Lab Med Original Research BACKGROUND: High-level monthly, quarterly and annual turn-around time (TAT) reports are used to assess laboratory performance across the National Health Laboratory Service in South Africa. Individual laboratory performances are masked by aggregate TAT reporting across network of testing facilities. OBJECTIVE: This study investigated weekly TAT reporting to identify laboratory inefficiencies for intervention. METHODS: CD4 TAT data were extracted for 46 laboratories from the corporate data warehouse for the 2016/2017 financial period. The total TAT median, 75th percentile and percentage of samples meeting organisational TAT cut-off (90% within 40 hours) were calculated. Total TAT was reported at national, provincial and laboratory levels. Provincial TAT performance was classified as markedly or moderately poor, satisfactory and good based on the percentage of samples that met the cut-off. The pre-analytical, testing and result review TAT component times were calculated. RESULTS: Median annual TAT was 18.8 h, 75th percentile was 25 h and percentage within cut-off was 92% (n = 3 332 599). Corresponding 75th percentiles of component TAT were 10 h (pre-analytical), 22 h testing and 1.6 h review. Provincial 75th percentile TAT varied from 17.6 h to 34.1 h, with three good (n = 13 laboratories), four satisfactory (n = 24 laboratories) and two poor performers (n = 9 laboratories) provinces. Weekly TAT analysis showed 12/46 laboratories (28.6%) without outlier weeks, 31/46 (73.8%) with 1–10 outlier weeks and 3/46 (6.5%) with more than 10 (highest of 20/52 weeks) outlier weeks. CONCLUSION: Masked TAT under-performances were revealed by weekly TAT analyses, identifying poorly performing laboratories needing immediate intervention; TAT component analyses identified specific areas for improvement. AOSIS 2020-12-21 /pmc/articles/PMC7756605/ /pubmed/33392052 http://dx.doi.org/10.4102/ajlm.v9i1.1102 Text en © 2020. The Authors https://creativecommons.org/licenses/by/4.0/ Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.
spellingShingle Original Research
Coetzee, Lindi-Marie
Cassim, Naseem
Glencross, Deborah K.
Weekly laboratory turn-around time identifies poor performance masked by aggregated reporting
title Weekly laboratory turn-around time identifies poor performance masked by aggregated reporting
title_full Weekly laboratory turn-around time identifies poor performance masked by aggregated reporting
title_fullStr Weekly laboratory turn-around time identifies poor performance masked by aggregated reporting
title_full_unstemmed Weekly laboratory turn-around time identifies poor performance masked by aggregated reporting
title_short Weekly laboratory turn-around time identifies poor performance masked by aggregated reporting
title_sort weekly laboratory turn-around time identifies poor performance masked by aggregated reporting
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7756605/
https://www.ncbi.nlm.nih.gov/pubmed/33392052
http://dx.doi.org/10.4102/ajlm.v9i1.1102
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