A One Health evaluation framework

In: Integrated approaches to health
Authors:
Simon R. Rüegg 1Section of Epidemiology, Vetsuisse Faculty, University of Zürich, Winterthurerstrasse 270, 8057 Zürich, Switzerland

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Barbara Häsler 2Department of Pathobiology and Population Sciences, Veterinary Epidemiology Economics and Public Health Group, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire, AL9 7TA, United Kingdom

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Liza Rosenbaum Nielsen 3Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 8, 1870 Frederiksberg C, Denmark

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Sandra C. Buttigieg 4Department of Health Services Management, Faculty of Health Sciences, University of Malta, MSD2080, Msida, Malta

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Mijalche Santa 5Faculty of Economics – Skopje, Saints Cyril and Methodius University, Blvd Goce Delcev 9V, 1000 Skopje, FYR Macedonia

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Maurizio Aragrande 6Department of Agricultural and Food Sciences, University of Bologna, Viale Giuseppe Fanin 44, 40127 Bologna, Italy

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Massimo Canali 6Department of Agricultural and Food Sciences, University of Bologna, Viale Giuseppe Fanin 44, 40127 Bologna, Italy

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Timothy Ehlinger 7Center for Global Health Equity, University of Wisconsin Milwaukee, P.O. Box 413, Milwaukee, WI 53201, USA

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Kevin Queenan 2Department of Pathobiology and Population Sciences, Veterinary Epidemiology Economics and Public Health Group, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire, AL9 7TA, United Kingdom

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Ilias Chantziaras 8Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium

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Elena Boriani 9Global Decision Support Initiative (GDSI) and National Food Institute, Technical University of Denmark, Bygningstorvet, Building 115,2800 Kongens Lyngby, Denmark

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Miroslav Radeski 10Faculty of Veterinary Medicine, Saints Cyril and Methodius University, Lazar Pop Trajkov 5-7, 1000 Skopje, FYR Macedonia

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Mieghan Bruce 11School of Veterinary and Life Sciences, Murdoch University, 90 South Street, Perth, 6150, Australia

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Hans Keune 12Belgian Biodiversity Platform, Research Institute Nature & Forest (INBO), Herman Teirlinckgebouw, Havenlaan 88 bus 73, 1000 Brussels, Belgium
13University of Antwerp, Campus Drie Eiken, gebouw R R.3.07. Universiteitsplein 1, 2610 Wilrijk, Belgium

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Houda Bennani 2Department of Pathobiology and Population Sciences, Veterinary Epidemiology Economics and Public Health Group, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire, AL9 7TA, United Kingdom

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Chinwe Ifejika Speranza 14Institute of Geography, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
15Centre for Development and Environment, University of Bern, Mittelstrasse 43, 3012 Bern, Switzerland

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Luís P. Carmo 16Veterinary Public Health Institute, Vetsuisse Faculty, University of Bern, Schwarzenburgstrasse 155, 3097 Liebefeld, Bern, Switzerland

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Roberto Esposito 17External Relations Office, Istituto Superiore di Sanità, Via Giano della Bella 34, 00199 Rome, Italy

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Maria-Eleni Filippitzi 8Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
18Faculty of Veterinary Medicine, Federal Research Institute Sciensano, Ernest Blerotstraat 1, Anderlecht, 1070, Brussels, Belgium

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K. Marie McIntyre 19Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool, Leahurst Campus, Neston, Cheshire CH64 7TE, United Kingdom

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Barry J. McMahon 20UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland

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Marisa Peyre 21CIRAD, Avenue Agropolis, TA 178/04, 34398 Montpellier Cedex 5, France

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Laura C. Falzon 22Institute of Infection and Global Health, University of Liverpool, 8 West Derby Street, Liverpool, L69 7BE, United Kingdom

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Kevin L. Bardosh 23Department of Anthropology and Emerging Pathogens Institute, University of Florida, Turlington Hall, Room 1112, Gainesville, FL 32611, USA

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Chiara Frazzoli 24Department of Cardiovascular, Dysmetabolic and Aging-Associated Diseases, Istituto Superiore di Sanità, Via Giano della Bella 34, 00199 Rome, Italy

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Tine Hald 25National Food Institute, Technical University of Denmark, B204, Kemitorvet, 2800 Kgs. Lyngby, Denmark

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Grace Marcus 2Department of Pathobiology and Population Sciences, Veterinary Epidemiology Economics and Public Health Group, Royal Veterinary College, Hawkshead Lane, North Mymms, Hatfield, Hertfordshire, AL9 7TA, United Kingdom

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Jakob Zinsstag 26Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, University of Basel, P.O. Box, 4002 Basel, Switzerland; srueegg@vetclinics.uzh.ch; bhaesler@rvc.ac.uk; liza@sund.ku.dk

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Open Access

Challenges calling for integrated approaches to health, such as the One Health (OH) approach, typically arise from the intertwined spheres of humans and animals, and the ecosystems constituting their environment. Initiatives addressing such wicked problems commonly consist of complex structures and dynamics. The Network for Evaluation of One Health (NEOH) proposes an evaluation framework anchored in systems theory to address the intrinsic complexity of OH initiatives and regards them as subsystems of the context within which they operate. Typically, they intend to influence a system with a view to improve human, animal, and environmental health. The NEOH evaluation framework consists of four overarching elements, namely: (1) the definition of the OH initiative and its context; (2) the description of its theory of change with an assessment of expected and unexpected outcomes; (3) the process evaluation of operational and supporting infrastructures (the ‘OHness’); and (4) an assessment of the association(s) between the process evaluation and the outcomes produced. It relies on a mixed-methods approach by combining a descriptive and qualitative assessment with a semi-quantitative scoring for the evaluation of the degree and structural balance of ‘OH-ness’ (summarised in an OH-index and OH-ratio, respectively) and conventional metrics for different outcomes in a multi-criteria-decision analysis. We provide the methodology for all elements, including ready-to-use Microsoft Excel spread-sheets for the assessment of the ‘OH-ness’ (Element 3) and further helpful worksheets as electronic supplements. Element 4 connects the results from the assessment of the ‘OH-ness’ to the methods and metrics described in Chapters 4 to 6 in this handbook. Finally, we offer some guidance on how to produce recommendations based on the results. The presented approach helps researchers, practitioners, policy makers and evaluators to conceptualise and conduct evaluations of integrated approaches to health and enables comparison and learning across different OH activities, thereby facilitating decisions on strategy and resource allocation. Examples of the application of this framework have been described in eight case studies, published in a dedicated Frontiers Research Topic (https://www.frontiersin.org/researchtopics/ 5479).

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