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Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation

BACKGROUND: This paper critically discusses the use and merits of global indices, in particular, the Global Health Security Index (GHSI; Cameron et al. https://www.ghsindex.org/#l-section--map) in times of an imminent crisis, such as the current pandemic. This index ranked 195 countries according to...

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Autores principales: Kaiser, Matthias, Chen, Andrew Tzer-Yeu, Gluckman, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983348/
https://www.ncbi.nlm.nih.gov/pubmed/33752689
http://dx.doi.org/10.1186/s12961-021-00702-4
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author Kaiser, Matthias
Chen, Andrew Tzer-Yeu
Gluckman, Peter
author_facet Kaiser, Matthias
Chen, Andrew Tzer-Yeu
Gluckman, Peter
author_sort Kaiser, Matthias
collection PubMed
description BACKGROUND: This paper critically discusses the use and merits of global indices, in particular, the Global Health Security Index (GHSI; Cameron et al. https://www.ghsindex.org/#l-section--map) in times of an imminent crisis, such as the current pandemic. This index ranked 195 countries according to their expected preparedness in the case of a pandemic or other biological threat. The coronavirus disease 2019 (Covid-19) pandemic provides the background to compare each country's predicted performance from the GHSI with the actual performance. In general, there is an inverted relation between predicted versus actual performance, i.e. the predicted top performers are among those that are the worst hit. Obviously, this reflects poorly on the potential policy uses of this index in imminent crisis management. METHODS: The paper analyses the GHSI and identifies why it may have struggled to predict actual pandemic preparedness as evidenced by the Covid-19 pandemic. The paper also uses two different data sets, one from the Worldmeter on the spread of the Covid-19 pandemics, and the other from the International Network for Government Science Advice (INGSA) Evidence-to-Policy Tracker, to draw comparisons between the actual introduction of pandemic response policies and the corresponding death rate in 29 selected countries. RESULTS: This paper analyses the reasons for the poor match between prediction and reality in the index, and mentions six general observations applying to global indices in this respect. These observations are based on methodological and conceptual analyses. The level of abstraction in these global indices builds uncertainties upon uncertainties and hides implicit value assumptions, which potentially removes them from the policy needs on the ground. CONCLUSIONS: From the analysis, the question is raised if the policy community might have better tools for decision-making in a pandemic. On the basis of data from the INGSA Evidence-to-Policy Tracker, and with backing in studies from social psychology and philosophy of science, some simple heuristics are suggested, which may be more useful than a global index.
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spelling pubmed-79833482021-03-23 Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation Kaiser, Matthias Chen, Andrew Tzer-Yeu Gluckman, Peter Health Res Policy Syst Research BACKGROUND: This paper critically discusses the use and merits of global indices, in particular, the Global Health Security Index (GHSI; Cameron et al. https://www.ghsindex.org/#l-section--map) in times of an imminent crisis, such as the current pandemic. This index ranked 195 countries according to their expected preparedness in the case of a pandemic or other biological threat. The coronavirus disease 2019 (Covid-19) pandemic provides the background to compare each country's predicted performance from the GHSI with the actual performance. In general, there is an inverted relation between predicted versus actual performance, i.e. the predicted top performers are among those that are the worst hit. Obviously, this reflects poorly on the potential policy uses of this index in imminent crisis management. METHODS: The paper analyses the GHSI and identifies why it may have struggled to predict actual pandemic preparedness as evidenced by the Covid-19 pandemic. The paper also uses two different data sets, one from the Worldmeter on the spread of the Covid-19 pandemics, and the other from the International Network for Government Science Advice (INGSA) Evidence-to-Policy Tracker, to draw comparisons between the actual introduction of pandemic response policies and the corresponding death rate in 29 selected countries. RESULTS: This paper analyses the reasons for the poor match between prediction and reality in the index, and mentions six general observations applying to global indices in this respect. These observations are based on methodological and conceptual analyses. The level of abstraction in these global indices builds uncertainties upon uncertainties and hides implicit value assumptions, which potentially removes them from the policy needs on the ground. CONCLUSIONS: From the analysis, the question is raised if the policy community might have better tools for decision-making in a pandemic. On the basis of data from the INGSA Evidence-to-Policy Tracker, and with backing in studies from social psychology and philosophy of science, some simple heuristics are suggested, which may be more useful than a global index. BioMed Central 2021-03-22 /pmc/articles/PMC7983348/ /pubmed/33752689 http://dx.doi.org/10.1186/s12961-021-00702-4 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kaiser, Matthias
Chen, Andrew Tzer-Yeu
Gluckman, Peter
Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation
title Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation
title_full Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation
title_fullStr Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation
title_full_unstemmed Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation
title_short Should policy makers trust composite indices? A commentary on the pitfalls of inappropriate indices for policy formation
title_sort should policy makers trust composite indices? a commentary on the pitfalls of inappropriate indices for policy formation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983348/
https://www.ncbi.nlm.nih.gov/pubmed/33752689
http://dx.doi.org/10.1186/s12961-021-00702-4
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