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, Hayley and Parker, Matthew D. and Stirrup, Oliver and Blackstone, James and Loose, Matthew and McClure, C Patrick and Roy, Sunando and Williams, Charlotte and McLeod, Julie and Smith, Darren and Taha, Yusri and Zhang, Peijun and Hsu, Sharon Nienyun and Kele, Beatrix and Harris, Kathryn and Mapp, Fiona and Williams, Rachel and Flowers, Paul and Breuer, Judith and Partridge, David G. and de Silva, Thushan I., COG-UK HOCI Investigators, The COVID-19 Genomics UK (COG-UK) Consortium (2023) 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. The Journal of Hospital Infection, 131. pp. 34-42. ISSN 1532-2939 (https://doi.org/10.1016/j.jhin.2022.09.022)
Preview |
Text.
Filename: Colton_etal_JHI_2022_Factors_affecting_turnaround_time_of_SARS_CoV_2_sequencing_for_inpatient.pdf
Final Published Version License: Download (799kB)| Preview |
Abstract
BackgroundBarriers to rapid return of sequencing results can affect the utility of sequence data for infection prevention and control decisions.AimTo 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.MethodsFor 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.FindingsThe 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.ConclusionIntegration 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.
ORCID iDs
Colton, Hayley, Parker, Matthew D., Stirrup, Oliver, Blackstone, James, Loose, Matthew, McClure, C Patrick, Roy, Sunando, Williams, Charlotte, McLeod, Julie, Smith, Darren, Taha, Yusri, Zhang, Peijun, Hsu, Sharon Nienyun, Kele, Beatrix, Harris, Kathryn, Mapp, Fiona, Williams, Rachel, Flowers, Paul ORCID: https://orcid.org/0000-0001-6239-5616, Breuer, Judith, Partridge, David G. and de Silva, Thushan I.;-
-
Item type: Article ID code: 83029 Dates: DateEvent1 January 2023Published10 October 2022Published Online22 September 2022Accepted21 June 2022SubmittedSubjects: Science > Microbiology > Virology
Science > MicrobiologyDepartment: Faculty of Humanities and Social Sciences (HaSS) > Psychological Sciences and Health > Psychology Depositing user: Pure Administrator Date deposited: 02 Nov 2022 11:50 Last modified: 11 Nov 2024 13:40 URI: https://strathprints.strath.ac.uk/id/eprint/83029