Cargando…

The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz

BACKGROUND: Testing and Contact Tracing (TCT) was a core strategy in the fight against the spread of SARS-CoV-2. However, little is known about the real-world effectiveness of TCT for COVID-19. Because time is an important conditional factor, we aim to study timeliness of TCT in the Netherlands, and...

Descripción completa

Detalles Bibliográficos
Autores principales: Bosdriesz, JR, den Boogert, EM, Dukers-Muijrers, NHTM, Götz, HM, Goverse, IE, Leenstra, T, Raven, SFH, van Dijken, SKS, Wevers, K, Matser, AA
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619935/
http://dx.doi.org/10.1093/eurpub/ckac130.020
_version_ 1784821299041796096
author Bosdriesz, JR
den Boogert, EM
Dukers-Muijrers, NHTM
Götz, HM
Goverse, IE
Leenstra, T
Raven, SFH
van Dijken, SKS
Wevers, K
Matser, AA
author_facet Bosdriesz, JR
den Boogert, EM
Dukers-Muijrers, NHTM
Götz, HM
Goverse, IE
Leenstra, T
Raven, SFH
van Dijken, SKS
Wevers, K
Matser, AA
author_sort Bosdriesz, JR
collection PubMed
description BACKGROUND: Testing and Contact Tracing (TCT) was a core strategy in the fight against the spread of SARS-CoV-2. However, little is known about the real-world effectiveness of TCT for COVID-19. Because time is an important conditional factor, we aim to study timeliness of TCT in the Netherlands, and its determinants. METHODS: We used routine COVID-19 TCT registry data from all individuals who tested positive for SARS-CoV-2 at 8 Dutch regional public health services from 1-6-2020 to 28-2-2021 (N = 338,066). We calculated median time intervals of TCT stages. Factors associated with the time between test result and completion of TCT, categorised as ≤ 3 days and >3 days, were assessed using logistic regression adjusting for region, testing site, and laboratory. Potential determinants were: gender, age, country of birth, number of close contacts, working in health-care or education, TCT manpower, and the Oxford Covid-19 Government Response Tracker (OxCGRT). RESULTS: The median time from symptom onset to TCT completion was 6 days (IQR:3-10). Median times between TCT stages were 1 day (IQR:0-3) for symptom onset to test request, 1 day, (IQR:0-1) for test request to sample collection, 1 day, (IQR:1-1) for sample collection to test result, and 2 days (IQR:1-5) for test result to TCT completion. In 31.7% of tests, time between test result and TCT completion was >3 days. This delay was associated with being older (65+), whereas being younger (0-14), a higher OxCGRT, scaling down TCT, and a higher number of TCT employees were associated with a shorter interval. CONCLUSIONS: Over fifty percent of interval times from symptom onset to TCT completion exceeded the median SARS-CoV-2 incubation period of 5 days. There seems to be little room for improvement on the side of the index case, but there are some implications for logistics such as increasing TCT manpower, and better integration of digital systems. KEY MESSAGES: Testing and contact tracing were key elements of fighting the spread of COVID-19, but the potential impact was reduced because >50% of interval times exceed the median SARS-CoV-2 incubation period. The influence of contextual factors shows that stricter government policies, and increasing TCT manpower could help speed up the process of TCT for COVID-19.
format Online
Article
Text
id pubmed-9619935
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-96199352022-11-04 The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz Bosdriesz, JR den Boogert, EM Dukers-Muijrers, NHTM Götz, HM Goverse, IE Leenstra, T Raven, SFH van Dijken, SKS Wevers, K Matser, AA Eur J Public Health Poster Walks BACKGROUND: Testing and Contact Tracing (TCT) was a core strategy in the fight against the spread of SARS-CoV-2. However, little is known about the real-world effectiveness of TCT for COVID-19. Because time is an important conditional factor, we aim to study timeliness of TCT in the Netherlands, and its determinants. METHODS: We used routine COVID-19 TCT registry data from all individuals who tested positive for SARS-CoV-2 at 8 Dutch regional public health services from 1-6-2020 to 28-2-2021 (N = 338,066). We calculated median time intervals of TCT stages. Factors associated with the time between test result and completion of TCT, categorised as ≤ 3 days and >3 days, were assessed using logistic regression adjusting for region, testing site, and laboratory. Potential determinants were: gender, age, country of birth, number of close contacts, working in health-care or education, TCT manpower, and the Oxford Covid-19 Government Response Tracker (OxCGRT). RESULTS: The median time from symptom onset to TCT completion was 6 days (IQR:3-10). Median times between TCT stages were 1 day (IQR:0-3) for symptom onset to test request, 1 day, (IQR:0-1) for test request to sample collection, 1 day, (IQR:1-1) for sample collection to test result, and 2 days (IQR:1-5) for test result to TCT completion. In 31.7% of tests, time between test result and TCT completion was >3 days. This delay was associated with being older (65+), whereas being younger (0-14), a higher OxCGRT, scaling down TCT, and a higher number of TCT employees were associated with a shorter interval. CONCLUSIONS: Over fifty percent of interval times from symptom onset to TCT completion exceeded the median SARS-CoV-2 incubation period of 5 days. There seems to be little room for improvement on the side of the index case, but there are some implications for logistics such as increasing TCT manpower, and better integration of digital systems. KEY MESSAGES: Testing and contact tracing were key elements of fighting the spread of COVID-19, but the potential impact was reduced because >50% of interval times exceed the median SARS-CoV-2 incubation period. The influence of contextual factors shows that stricter government policies, and increasing TCT manpower could help speed up the process of TCT for COVID-19. Oxford University Press 2022-10-25 /pmc/articles/PMC9619935/ http://dx.doi.org/10.1093/eurpub/ckac130.020 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster Walks
Bosdriesz, JR
den Boogert, EM
Dukers-Muijrers, NHTM
Götz, HM
Goverse, IE
Leenstra, T
Raven, SFH
van Dijken, SKS
Wevers, K
Matser, AA
The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz
title The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz
title_full The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz
title_fullStr The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz
title_full_unstemmed The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz
title_short The timeliness of COVID-19 testing and tracing in eight public health regions in the Netherlands: Jizzo Bosdriesz
title_sort timeliness of covid-19 testing and tracing in eight public health regions in the netherlands: jizzo bosdriesz
topic Poster Walks
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9619935/
http://dx.doi.org/10.1093/eurpub/ckac130.020
work_keys_str_mv AT bosdrieszjr thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT denboogertem thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT dukersmuijrersnhtm thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT gotzhm thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT goverseie thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT leenstrat thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT ravensfh thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT vandijkensks thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT weversk thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT matseraa thetimelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT bosdrieszjr timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT denboogertem timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT dukersmuijrersnhtm timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT gotzhm timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT goverseie timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT leenstrat timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT ravensfh timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT vandijkensks timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT weversk timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz
AT matseraa timelinessofcovid19testingandtracingineightpublichealthregionsinthenetherlandsjizzobosdriesz