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Contact tracing indicators for COVID-19: Rapid scoping review and conceptual framework
Contact tracing is one of the key interventions in response to the COVID-19 pandemic but its implementation varies widely across countries. There is little guidance on how to monitor contact tracing performance, and no systematic overview of indicators to assess contact tracing systems or conceptual...
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Published in: | PloS one 2022-02, Vol.17 (2), p.e0264433-e0264433 |
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creator | Vogt, Florian Kurup, Karishma Krishna Mussleman, Paul Habrun, Caroline Crowe, Madeleine Woodward, Alexandra Jaramillo-Gutierrez, Giovanna Kaldor, John Vong, Sirenda Del Rio Vilas, Victor |
description | Contact tracing is one of the key interventions in response to the COVID-19 pandemic but its implementation varies widely across countries. There is little guidance on how to monitor contact tracing performance, and no systematic overview of indicators to assess contact tracing systems or conceptual framework for such indicators exists to date.
We conducted a rapid scoping review using a systematic literature search strategy in the peer-reviewed and grey literature as well as open source online documents. We developed a conceptual framework to map indicators by type (input, process, output, outcome, impact) and thematic area (human resources, financial resources, case investigation, contact identification, contact testing, contact follow up, case isolation, contact quarantine, transmission chain interruption, incidence reduction).
We identified a total of 153 contact tracing indicators from 1,555 peer-reviewed studies, 894 studies from grey literature sources, and 15 sources from internet searches. Two-thirds of indicators were process indicators (102; 67%), while 48 (31%) indicators were output indicators. Only three (2%) indicators were input indicators. Indicators covered seven out of ten conceptualized thematic areas, with more than half being related to either case investigation (37; 24%) or contact identification (44; 29%). There were no indicators for the input area "financial resources", the outcome area "transmission chain interruption", and the impact area "incidence reduction".
Almost all identified indicators were either process or output indicators focusing on case investigation, contact identification, case isolation or contact quarantine. We identified important gaps in input, outcome and impact indicators, which constrains evidence-based assessment of contact tracing systems. A universally agreed set of indicators is needed to allow for cross-system comparisons and to improve the performance of contact tracing systems. |
doi_str_mv | 10.1371/journal.pone.0264433 |
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We conducted a rapid scoping review using a systematic literature search strategy in the peer-reviewed and grey literature as well as open source online documents. We developed a conceptual framework to map indicators by type (input, process, output, outcome, impact) and thematic area (human resources, financial resources, case investigation, contact identification, contact testing, contact follow up, case isolation, contact quarantine, transmission chain interruption, incidence reduction).
We identified a total of 153 contact tracing indicators from 1,555 peer-reviewed studies, 894 studies from grey literature sources, and 15 sources from internet searches. Two-thirds of indicators were process indicators (102; 67%), while 48 (31%) indicators were output indicators. Only three (2%) indicators were input indicators. Indicators covered seven out of ten conceptualized thematic areas, with more than half being related to either case investigation (37; 24%) or contact identification (44; 29%). There were no indicators for the input area "financial resources", the outcome area "transmission chain interruption", and the impact area "incidence reduction".
Almost all identified indicators were either process or output indicators focusing on case investigation, contact identification, case isolation or contact quarantine. We identified important gaps in input, outcome and impact indicators, which constrains evidence-based assessment of contact tracing systems. A universally agreed set of indicators is needed to allow for cross-system comparisons and to improve the performance of contact tracing systems.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0264433</identifier><identifier>PMID: 35226699</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and life sciences ; Chains ; Citation management software ; Contact ; Contact Tracing ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - prevention & control ; Disease transmission ; Epidemics ; Grey literature ; Health surveillance ; Human resources ; Humans ; Incidence ; Indicators ; Infection control ; Infections ; Literature reviews ; Medicine and Health Sciences ; Methods ; Middle East respiratory syndrome ; Mobile Applications ; Pandemics ; Pandemics - prevention & control ; Performance enhancement ; Public health ; Quarantine ; Reduction ; Research and Analysis Methods ; Reviews ; SARS-CoV-2 ; Search engines ; Severe acute respiratory syndrome coronavirus 2 ; Social Sciences ; Surveillance</subject><ispartof>PloS one, 2022-02, Vol.17 (2), p.e0264433-e0264433</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Vogt et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Vogt et al 2022 Vogt et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-94d862dfd0c26075dff6807d8b10cbe406a09f62b9c29dc0aa1809b4322506713</citedby><cites>FETCH-LOGICAL-c692t-94d862dfd0c26075dff6807d8b10cbe406a09f62b9c29dc0aa1809b4322506713</cites><orcidid>0000-0003-2686-3149</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2634521012/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2634521012?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35226699$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Kwok, Kin On</contributor><creatorcontrib>Vogt, Florian</creatorcontrib><creatorcontrib>Kurup, Karishma Krishna</creatorcontrib><creatorcontrib>Mussleman, Paul</creatorcontrib><creatorcontrib>Habrun, Caroline</creatorcontrib><creatorcontrib>Crowe, Madeleine</creatorcontrib><creatorcontrib>Woodward, Alexandra</creatorcontrib><creatorcontrib>Jaramillo-Gutierrez, Giovanna</creatorcontrib><creatorcontrib>Kaldor, John</creatorcontrib><creatorcontrib>Vong, Sirenda</creatorcontrib><creatorcontrib>Del Rio Vilas, Victor</creatorcontrib><title>Contact tracing indicators for COVID-19: Rapid scoping review and conceptual framework</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Contact tracing is one of the key interventions in response to the COVID-19 pandemic but its implementation varies widely across countries. There is little guidance on how to monitor contact tracing performance, and no systematic overview of indicators to assess contact tracing systems or conceptual framework for such indicators exists to date.
We conducted a rapid scoping review using a systematic literature search strategy in the peer-reviewed and grey literature as well as open source online documents. We developed a conceptual framework to map indicators by type (input, process, output, outcome, impact) and thematic area (human resources, financial resources, case investigation, contact identification, contact testing, contact follow up, case isolation, contact quarantine, transmission chain interruption, incidence reduction).
We identified a total of 153 contact tracing indicators from 1,555 peer-reviewed studies, 894 studies from grey literature sources, and 15 sources from internet searches. Two-thirds of indicators were process indicators (102; 67%), while 48 (31%) indicators were output indicators. Only three (2%) indicators were input indicators. Indicators covered seven out of ten conceptualized thematic areas, with more than half being related to either case investigation (37; 24%) or contact identification (44; 29%). There were no indicators for the input area "financial resources", the outcome area "transmission chain interruption", and the impact area "incidence reduction".
Almost all identified indicators were either process or output indicators focusing on case investigation, contact identification, case isolation or contact quarantine. We identified important gaps in input, outcome and impact indicators, which constrains evidence-based assessment of contact tracing systems. A universally agreed set of indicators is needed to allow for cross-system comparisons and to improve the performance of contact tracing systems.</description><subject>Biology and life sciences</subject><subject>Chains</subject><subject>Citation management software</subject><subject>Contact</subject><subject>Contact Tracing</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - prevention & control</subject><subject>Disease transmission</subject><subject>Epidemics</subject><subject>Grey literature</subject><subject>Health surveillance</subject><subject>Human resources</subject><subject>Humans</subject><subject>Incidence</subject><subject>Indicators</subject><subject>Infection control</subject><subject>Infections</subject><subject>Literature reviews</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Middle East respiratory syndrome</subject><subject>Mobile Applications</subject><subject>Pandemics</subject><subject>Pandemics - 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There is little guidance on how to monitor contact tracing performance, and no systematic overview of indicators to assess contact tracing systems or conceptual framework for such indicators exists to date.
We conducted a rapid scoping review using a systematic literature search strategy in the peer-reviewed and grey literature as well as open source online documents. We developed a conceptual framework to map indicators by type (input, process, output, outcome, impact) and thematic area (human resources, financial resources, case investigation, contact identification, contact testing, contact follow up, case isolation, contact quarantine, transmission chain interruption, incidence reduction).
We identified a total of 153 contact tracing indicators from 1,555 peer-reviewed studies, 894 studies from grey literature sources, and 15 sources from internet searches. Two-thirds of indicators were process indicators (102; 67%), while 48 (31%) indicators were output indicators. Only three (2%) indicators were input indicators. Indicators covered seven out of ten conceptualized thematic areas, with more than half being related to either case investigation (37; 24%) or contact identification (44; 29%). There were no indicators for the input area "financial resources", the outcome area "transmission chain interruption", and the impact area "incidence reduction".
Almost all identified indicators were either process or output indicators focusing on case investigation, contact identification, case isolation or contact quarantine. We identified important gaps in input, outcome and impact indicators, which constrains evidence-based assessment of contact tracing systems. A universally agreed set of indicators is needed to allow for cross-system comparisons and to improve the performance of contact tracing systems.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35226699</pmid><doi>10.1371/journal.pone.0264433</doi><tpages>e0264433</tpages><orcidid>https://orcid.org/0000-0003-2686-3149</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biology and life sciences Chains Citation management software Contact Contact Tracing Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - prevention & control Disease transmission Epidemics Grey literature Health surveillance Human resources Humans Incidence Indicators Infection control Infections Literature reviews Medicine and Health Sciences Methods Middle East respiratory syndrome Mobile Applications Pandemics Pandemics - prevention & control Performance enhancement Public health Quarantine Reduction Research and Analysis Methods Reviews SARS-CoV-2 Search engines Severe acute respiratory syndrome coronavirus 2 Social Sciences Surveillance |
title | Contact tracing indicators for COVID-19: Rapid scoping review and conceptual framework |
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