TY - JOUR
T1 - Factors affecting turnaround time of SARS-CoV-2 sequencing for inpatient infection prevention and control decision making
T2 - analysis of data from the COG-UK HOCI study
AU - COG-UK HOCI Investigators, The COVID-19 Genomics UK (COG-UK) Consortium
AU - Colton, Hayley
AU - Parker, Matthew D.
AU - Stirrup, Oliver
AU - Blackstone, James
AU - Loose, Matthew
AU - McClure, C Patrick
AU - Roy, Sunando
AU - Williams, Charlotte
AU - McLeod, Julie
AU - Smith, Darren
AU - Taha, Yusri
AU - Zhang, Peijun
AU - Hsu, Sharon Nienyun
AU - Kele, Beatrix
AU - Harris, Kathryn
AU - Mapp, Fiona
AU - Williams, Rachel
AU - Flowers, Paul
AU - Breuer, Judith
AU - Partridge, David G.
AU - de Silva, Thushan I.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - 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.
AB - 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.
KW - turnaround time
KW - sequencing
KW - infection control
KW - SARS-CoV-2
U2 - 10.1016/j.jhin.2022.09.022
DO - 10.1016/j.jhin.2022.09.022
M3 - Article
C2 - 36228768
SN - 0195-6701
VL - 131
SP - 34
EP - 42
JO - The Journal of Hospital Infection
JF - The Journal of Hospital Infection
ER -