Your browser doesn't support javascript.
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.
  • Colton H; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK; Directorate of Laboratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK. Electronic address: h.colton@sheffield.ac.uk.
  • Parker MD; Sheffield Biomedical Research Centre, University of Sheffield, Sheffield, UK; Sheffield Bioinformatics Core, University of Sheffield, Sheffield, UK.
  • Stirrup O; Institute for Global Health, University College London, London, UK.
  • Blackstone J; The Comprehensive Clinical Trials Unit, University College London, London, UK.
  • Loose M; School of Life Sciences, University of Nottingham, Nottingham, UK.
  • McClure CP; School of Life Sciences, University of Nottingham, Nottingham, UK.
  • Roy S; Department of Infection, Immunity and Inflammation, Institute of Child Health, University College London, London, UK.
  • Williams C; Department of Infection, Immunity and Inflammation, Institute of Child Health, University College London, London, UK.
  • McLeod J; School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.
  • Smith D; Department of Applied Biology, Cellular and Molecular Sciences/Microbiology Group, Northumbria University, Newcastle, UK.
  • Taha Y; Department of Infection and Tropical Medicine, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Royal Victoria Infirmary, Newcastle Upon Tyne, UK.
  • Zhang P; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Hsu SN; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK; Sheffield Bioinformatics Core, University of Sheffield, Sheffield, UK.
  • Kele B; Virology Department, East and South East London Pathology Partnership, Royal London Hospital, Barts Health NHS Trust, London, UK.
  • Harris K; Virology Department, East and South East London Pathology Partnership, Royal London Hospital, Barts Health NHS Trust, London, UK.
  • Mapp F; Institute for Global Health, University College London, London, UK.
  • Williams R; Department of Infection, Immunity and Inflammation, Institute of Child Health, University College London, London, UK.
  • Flowers P; School of Psychological Sciences and Health, University of Strathclyde, Glasgow, UK.
  • Breuer J; Department of Infection, Immunity and Inflammation, Institute of Child Health, University College London, London, UK.
  • Partridge DG; Directorate of Laboratory Medicine, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • de Silva TI; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
J Hosp Infect ; 131: 34-42, 2022 Oct 10.
Article in English | MEDLINE | ID: covidwho-2239897
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Qualitative research Language: English Journal: J Hosp Infect Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study / Qualitative research Language: English Journal: J Hosp Infect Year: 2022 Document Type: Article