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Factors affecting turnaround time of SARS-CoV-2 sequencing for inpatient infection prevention and control decision making: analysis of data from the COG-UK HOCI study
BACKGROUND: Barriers to rapid return of sequencing results can affect the utility of sequence data for infection prevention and control decisions. AIM: To undertake a mixed-methods analysis to identify challenges that sites faced in achieving a rapid turnaround time (TAT) in the COVID-19 Genomics UK...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of The Healthcare Infection Society.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550290/ https://www.ncbi.nlm.nih.gov/pubmed/36228768 http://dx.doi.org/10.1016/j.jhin.2022.09.022 |
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author | Colton, H. Parker, M.D. Stirrup, O. Blackstone, J. Loose, M. McClure, C.P. Roy, S. Williams, C. McLeod, J. Smith, D. Taha, Y. Zhang, P. Hsu, S.N. Kele, B. Harris, K. Mapp, F. Williams, R. Flowers, P. Breuer, J. Partridge, D.G. de Silva, T.I. |
author_facet | Colton, H. Parker, M.D. Stirrup, O. Blackstone, J. Loose, M. McClure, C.P. Roy, S. Williams, C. McLeod, J. Smith, D. Taha, Y. Zhang, P. Hsu, S.N. Kele, B. Harris, K. Mapp, F. Williams, R. Flowers, P. Breuer, J. Partridge, D.G. de Silva, T.I. |
author_sort | Colton, H. |
collection | PubMed |
description | BACKGROUND: Barriers to rapid return of sequencing results can affect the utility of sequence data for infection prevention and control decisions. AIM: To undertake a mixed-methods analysis to identify challenges that sites faced in achieving a rapid turnaround time (TAT) in the COVID-19 Genomics UK Hospital-Onset COVID-19 Infection (COG-UK HOCI) study. METHODS: For the quantitative analysis, timepoints relating to different stages of the sequencing process were extracted from both the COG-UK HOCI study dataset and surveys of study sites. Qualitative data relating to the barriers and facilitators to achieving rapid TATs were included from thematic analysis. FINDINGS: The overall TAT, from sample collection to receipt of sequence report by infection control teams, varied between sites (median 5.1 days, range 3.0–29.0 days). Most variation was seen between reporting of a positive COVID-19 polymerase chain reaction (PCR) result to sequence report generation (median 4.0 days, range 2.3–27.0 days). On deeper analysis, most of this variability was accounted for by differences in the delay between the COVID-19 PCR result and arrival of the sample at the sequencing laboratory (median 20.8 h, range 16.0–88.7 h). Qualitative analyses suggest that closer proximity of sequencing laboratories to diagnostic laboratories, increased staff flexibility and regular transport times facilitated a shorter TAT. CONCLUSION: Integration of pathogen sequencing into diagnostic laboratories may help to improve sequencing TAT to allow sequence data to be of tangible value to infection control practice. Adding a quality control step upstream to increase capacity further down the workflow may also optimize TAT if lower quality samples are removed at an earlier stage. |
format | Online Article Text |
id | pubmed-9550290 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Author(s). Published by Elsevier Ltd on behalf of The Healthcare Infection Society. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95502902022-10-11 Factors affecting turnaround time of SARS-CoV-2 sequencing for inpatient infection prevention and control decision making: analysis of data from the COG-UK HOCI study Colton, H. Parker, M.D. Stirrup, O. Blackstone, J. Loose, M. McClure, C.P. Roy, S. Williams, C. McLeod, J. Smith, D. Taha, Y. Zhang, P. Hsu, S.N. Kele, B. Harris, K. Mapp, F. Williams, R. Flowers, P. Breuer, J. Partridge, D.G. de Silva, T.I. J Hosp Infect Article BACKGROUND: Barriers to rapid return of sequencing results can affect the utility of sequence data for infection prevention and control decisions. AIM: To undertake a mixed-methods analysis to identify challenges that sites faced in achieving a rapid turnaround time (TAT) in the COVID-19 Genomics UK Hospital-Onset COVID-19 Infection (COG-UK HOCI) study. METHODS: For the quantitative analysis, timepoints relating to different stages of the sequencing process were extracted from both the COG-UK HOCI study dataset and surveys of study sites. Qualitative data relating to the barriers and facilitators to achieving rapid TATs were included from thematic analysis. FINDINGS: The overall TAT, from sample collection to receipt of sequence report by infection control teams, varied between sites (median 5.1 days, range 3.0–29.0 days). Most variation was seen between reporting of a positive COVID-19 polymerase chain reaction (PCR) result to sequence report generation (median 4.0 days, range 2.3–27.0 days). On deeper analysis, most of this variability was accounted for by differences in the delay between the COVID-19 PCR result and arrival of the sample at the sequencing laboratory (median 20.8 h, range 16.0–88.7 h). Qualitative analyses suggest that closer proximity of sequencing laboratories to diagnostic laboratories, increased staff flexibility and regular transport times facilitated a shorter TAT. CONCLUSION: Integration of pathogen sequencing into diagnostic laboratories may help to improve sequencing TAT to allow sequence data to be of tangible value to infection control practice. Adding a quality control step upstream to increase capacity further down the workflow may also optimize TAT if lower quality samples are removed at an earlier stage. The Author(s). Published by Elsevier Ltd on behalf of The Healthcare Infection Society. 2023-01 2022-10-10 /pmc/articles/PMC9550290/ /pubmed/36228768 http://dx.doi.org/10.1016/j.jhin.2022.09.022 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Colton, H. Parker, M.D. Stirrup, O. Blackstone, J. Loose, M. McClure, C.P. Roy, S. Williams, C. McLeod, J. Smith, D. Taha, Y. Zhang, P. Hsu, S.N. Kele, B. Harris, K. Mapp, F. Williams, R. Flowers, P. Breuer, J. Partridge, D.G. de Silva, T.I. Factors affecting turnaround time of SARS-CoV-2 sequencing for inpatient infection prevention and control decision making: analysis of data from the COG-UK HOCI study |
title | Factors affecting turnaround time of SARS-CoV-2 sequencing for inpatient infection prevention and control decision making: analysis of data from the COG-UK HOCI study |
title_full | Factors affecting turnaround time of SARS-CoV-2 sequencing for inpatient infection prevention and control decision making: analysis of data from the COG-UK HOCI study |
title_fullStr | Factors affecting turnaround time of SARS-CoV-2 sequencing for inpatient infection prevention and control decision making: analysis of data from the COG-UK HOCI study |
title_full_unstemmed | Factors affecting turnaround time of SARS-CoV-2 sequencing for inpatient infection prevention and control decision making: analysis of data from the COG-UK HOCI study |
title_short | Factors affecting turnaround time of SARS-CoV-2 sequencing for inpatient infection prevention and control decision making: analysis of data from the COG-UK HOCI study |
title_sort | factors affecting turnaround time of sars-cov-2 sequencing for inpatient infection prevention and control decision making: analysis of data from the cog-uk hoci study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550290/ https://www.ncbi.nlm.nih.gov/pubmed/36228768 http://dx.doi.org/10.1016/j.jhin.2022.09.022 |
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