Evidence map›Paper›PMID 31263687›Full record

ArticleFrontiers in public health2019

Valuing Health Surveillance as an Information System: Interdisciplinary Insights.

Nicolas Antoine-Moussiaux, Olivier Vandenberg, Zisis Kozlakidis, Cécile Aenishaenslin, Marisa Peyre, Mathieu Roche, Pascal Bonnet, André Ravel

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 8 institutions in 4 countries.

Nicolas Antoine-MoussiauxFundamental and Applied Research for Animals and Health (FARAH), University of Liège, Liege, Belgium.
Olivier VandenbergResearch Centre on Environmental and Occupational Health, School of Public Health - Université Libre de Bruxelles, Brussels, Belgium.
Zisis KozlakidisDivision of Infection and Immunity, Faculty of Medical Sciences - University College London, London, United Kingdom.
Cécile AenishaenslinGroupe de Recherche en Épidémiologie des Zoonoses et Santé Publique, Faculté de Médecine Vétérinaire, Université de Montréal, Montreal, QC, Canada.
Marisa PeyreASTRE, Univ. Montpellier, CIRAD, Inra, Montpellier, France.
Mathieu RocheTETIS, Univ. Montpellier, AgroParisTech, CIRAD, CNRS, Irstea, Montpellier, France.
Pascal BonnetDepartment Environments and Societies, CIRAD, Montpellier, France.
André RavelGroupe de Recherche en Épidémiologie des Zoonoses et Santé Publique, Faculté de Médecine Vétérinaire, Université de Montréal, Montreal, QC, Canada.
AgroParisTech · FRAnimal, Santé, Territoires, Risques et Ecosystèmes · FRCentre International de Recherche sur le Cancer · FRForests and Societies · FRMcGill University · CAUniversité de Montréal · CAUniversity College London · GBUniversity of Liège · BE

Funding

World Health Organization 001
6 · The paper itself

Abstract

The economic evaluation of health surveillance systems and of health information is a methodological challenge, as for information systems in general. Main present threads are considering cost-effectiveness solutions, minimizing costs for a given technically required output, or cost-benefit analysis, balancing costs with economic benefits of duly informed public interventions. The latter option, following a linear command-and-control perspective, implies considering a main causal link between information, decision, action, and health benefits. Yet, valuing information, taking into account its nature and multiple sources, the modalities of its processing cycle, from production to diffusion, decentralized use and gradual building of a shared information capital, constitutes a promising challenge. This work proposes an interdisciplinary insight on the value of health surveillance to get a renewed theoretical framework integrating information and informatics theory and information economics. The reflection is based on a typological approach of value, basically distinguishing between use and non-use values. Through this structured discussion, the main idea is to expand the boundaries of surveillance evaluation, to focus on changes and trends, on the dynamic and networked structure of information systems, on the contribution of diverse data, and on the added value of combining qualitative and quantitative information. Distancing itself from the command-and-control model, this reflection considers the behavioral fundaments of many health risks, as well as the decentralized, progressive and deliberative dimension of decision-making in risk management. The framework also draws on lessons learnt from recent applications within and outside of health sector, as in surveillance of antimicrobial resistance, inter-laboratory networks, the use of big data or web sources, the diffusion of technological products and large-scale financial risks. Finally, the paper poses the bases to think the challenge of a workable approach to economic evaluation of health surveillance through a better understanding of health information value. It aims to avoid over-simplifying the range of health information benefits across society while keeping evaluation within the boundaries of what may be ascribed to the assessed information system.

Indexed as

complexitydatadecision-makingframeworknetworktrendtypologyvalue

Identifiers

PMID31263687
PMCPMC6585471
OpenAlexW2920773083

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.