Data collection for outbreak investigations: process for defining a minimal data set using a Delphi approach

<p><strong>Background:</strong> Timely but accurate data collection is needed during health emergencies to inform public health responses. Often, an abundance of data is collected but not used. When outbreaks and other health events occur in remote and complex settings, operatives...

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Main Authors: Perrocheau, A, Brindle, H, Roberts, C, Murthy, S, Shetty, S, Martin, AIC, Marks, M, Schenkel, K, Minimum Variables for Outbreak Investigation Working Group of the WHO Outbreak Toolkit project
Format: Journal article
Language:English
Published: BioMed Central 2021
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author Perrocheau, A
Brindle, H
Roberts, C
Murthy, S
Shetty, S
Martin, AIC
Marks, M
Schenkel, K
Minimum Variables for Outbreak Investigation Working Group of the WHO Outbreak Toolkit project
author_facet Perrocheau, A
Brindle, H
Roberts, C
Murthy, S
Shetty, S
Martin, AIC
Marks, M
Schenkel, K
Minimum Variables for Outbreak Investigation Working Group of the WHO Outbreak Toolkit project
author_sort Perrocheau, A
collection OXFORD
description <p><strong>Background:</strong> Timely but accurate data collection is needed during health emergencies to inform public health responses. Often, an abundance of data is collected but not used. When outbreaks and other health events occur in remote and complex settings, operatives on the ground are often required to cover multiple tasks whilst working with limited resources. Tools that facilitate the collection of essential data during the early investigations of a potential public health event can support effective public health decision-making. We proposed to define the minimum set of quantitative information to collect whilst using electronic device or not. Here we present the process used to select the minimum information required to describe an outbreak of any cause during its initial stages and occurring in remote settings</p> <br> <p><strong>Methods:</strong> A working group of epidemiologists took part in two rounds of a Delphi process to categorise the variables to be included in an initial outbreak investigation form. This took place between January–June 2019 using an online survey.</p> <br> <p><strong>Results:</strong> At a threshold of 75 %, consensus was reached for nineteen (23.2%) variables which were all classified as ‘essential’. This increased to twenty-six (31.7%) variables when the threshold was reduced to 60% with all but one variable classified as ‘essential’. Twenty-fve of these variables were included in the ‘Time zero initial case investigation’ ‘(T0)’ form which was shared with the members of the Rapid Response Team Knowledge Network for feld testing and feedback. The form has been readily available online by WHO since September 2019.</p> <br> <p><strong>Conclusion:</strong> This is the frst known Delphi process used to determine the minimum variables needed for an outbreak investigation. The subsequent development of the T0 form should help to improve the efficiency and standardisation of data collection during emergencies and ultimately the quality of the data collected during field investigation.</p>
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spelling oxford-uuid:8ba4d553-d81f-45bb-82ef-5b69af3a3e3f2024-10-18T14:03:59ZData collection for outbreak investigations: process for defining a minimal data set using a Delphi approachJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8ba4d553-d81f-45bb-82ef-5b69af3a3e3fEnglishSymplectic ElementsBioMed Central2021Perrocheau, ABrindle, HRoberts, CMurthy, SShetty, SMartin, AICMarks, MSchenkel, KMinimum Variables for Outbreak Investigation Working Group of the WHO Outbreak Toolkit project<p><strong>Background:</strong> Timely but accurate data collection is needed during health emergencies to inform public health responses. Often, an abundance of data is collected but not used. When outbreaks and other health events occur in remote and complex settings, operatives on the ground are often required to cover multiple tasks whilst working with limited resources. Tools that facilitate the collection of essential data during the early investigations of a potential public health event can support effective public health decision-making. We proposed to define the minimum set of quantitative information to collect whilst using electronic device or not. Here we present the process used to select the minimum information required to describe an outbreak of any cause during its initial stages and occurring in remote settings</p> <br> <p><strong>Methods:</strong> A working group of epidemiologists took part in two rounds of a Delphi process to categorise the variables to be included in an initial outbreak investigation form. This took place between January–June 2019 using an online survey.</p> <br> <p><strong>Results:</strong> At a threshold of 75 %, consensus was reached for nineteen (23.2%) variables which were all classified as ‘essential’. This increased to twenty-six (31.7%) variables when the threshold was reduced to 60% with all but one variable classified as ‘essential’. Twenty-fve of these variables were included in the ‘Time zero initial case investigation’ ‘(T0)’ form which was shared with the members of the Rapid Response Team Knowledge Network for feld testing and feedback. The form has been readily available online by WHO since September 2019.</p> <br> <p><strong>Conclusion:</strong> This is the frst known Delphi process used to determine the minimum variables needed for an outbreak investigation. The subsequent development of the T0 form should help to improve the efficiency and standardisation of data collection during emergencies and ultimately the quality of the data collected during field investigation.</p>
spellingShingle Perrocheau, A
Brindle, H
Roberts, C
Murthy, S
Shetty, S
Martin, AIC
Marks, M
Schenkel, K
Minimum Variables for Outbreak Investigation Working Group of the WHO Outbreak Toolkit project
Data collection for outbreak investigations: process for defining a minimal data set using a Delphi approach
title Data collection for outbreak investigations: process for defining a minimal data set using a Delphi approach
title_full Data collection for outbreak investigations: process for defining a minimal data set using a Delphi approach
title_fullStr Data collection for outbreak investigations: process for defining a minimal data set using a Delphi approach
title_full_unstemmed Data collection for outbreak investigations: process for defining a minimal data set using a Delphi approach
title_short Data collection for outbreak investigations: process for defining a minimal data set using a Delphi approach
title_sort data collection for outbreak investigations process for defining a minimal data set using a delphi approach
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