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‘One Health’ Actors in Multifaceted Health Systems: An Operational Case for India

The surging trend of (re)emerging diseases urges for the early detection, prevention, and control of zoonotic infections through the One Health (OH) approach. The operationalization of the OH approach depends on the contextual setting, the presence of the actors across the domains of OH, and the ext...

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Autores principales: Yasobant, Sandul, Bruchhausen, Walter, Saxena, Deepak, Falkenberg, Timo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712196/
https://www.ncbi.nlm.nih.gov/pubmed/33036422
http://dx.doi.org/10.3390/healthcare8040387
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author Yasobant, Sandul
Bruchhausen, Walter
Saxena, Deepak
Falkenberg, Timo
author_facet Yasobant, Sandul
Bruchhausen, Walter
Saxena, Deepak
Falkenberg, Timo
author_sort Yasobant, Sandul
collection PubMed
description The surging trend of (re)emerging diseases urges for the early detection, prevention, and control of zoonotic infections through the One Health (OH) approach. The operationalization of the OH approach depends on the contextual setting, the presence of the actors across the domains of OH, and the extent of their involvement. In the absence of national operational guidelines for OH in India, this study aims to identify potential actors with an attempt to understand the current health system network strength (during an outbreak and non-outbreak situations) at the local health system of Ahmedabad, India. This case study adopted a sequential mixed methods design conducted in two phases. First, potential actors who have been involved directly or indirectly in zoonoses prevention and control were identified through in-depth interviews. A network study was conducted as part of the second phase through a structured network questionnaire. Interest and influence matrix, average degree, network density, and degree of centralization were calculated through Atlas.Ti (ATLAS.ti Scientific Software Development GmbH, Berlin, Germany), UCINET (Analytic Technologies, Lexington, KY, USA) software. The identified actors were categorized based on power, administrative level (either at the city or district level), and their level of action: administrative (policy planners, managers), providers (physicians, veterinarians), and community (health workers, community leaders). The matrix indicated that administrative actors from the district level were ‘context setters’ and the actors from the city level were either ‘players’ or ‘subjects’. The network density showed a strength of 0.328 during the last outbreak of H5N1, which decreased to 0.163 during the non-outbreak situation. Overall, there was low collaboration observed in this study, which ranged from communication (during non-outbreaks) to coordination (during outbreaks). The private and non-governmental actors were not integrated into collaborative activities. This study concludes that not only collaboration is needed for OH among the sectors pertaining to the human and the animal health system but also better structured (‘inter-level’) collaboration across the governance levels for effective implementation.
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spelling pubmed-77121962020-12-04 ‘One Health’ Actors in Multifaceted Health Systems: An Operational Case for India Yasobant, Sandul Bruchhausen, Walter Saxena, Deepak Falkenberg, Timo Healthcare (Basel) Article The surging trend of (re)emerging diseases urges for the early detection, prevention, and control of zoonotic infections through the One Health (OH) approach. The operationalization of the OH approach depends on the contextual setting, the presence of the actors across the domains of OH, and the extent of their involvement. In the absence of national operational guidelines for OH in India, this study aims to identify potential actors with an attempt to understand the current health system network strength (during an outbreak and non-outbreak situations) at the local health system of Ahmedabad, India. This case study adopted a sequential mixed methods design conducted in two phases. First, potential actors who have been involved directly or indirectly in zoonoses prevention and control were identified through in-depth interviews. A network study was conducted as part of the second phase through a structured network questionnaire. Interest and influence matrix, average degree, network density, and degree of centralization were calculated through Atlas.Ti (ATLAS.ti Scientific Software Development GmbH, Berlin, Germany), UCINET (Analytic Technologies, Lexington, KY, USA) software. The identified actors were categorized based on power, administrative level (either at the city or district level), and their level of action: administrative (policy planners, managers), providers (physicians, veterinarians), and community (health workers, community leaders). The matrix indicated that administrative actors from the district level were ‘context setters’ and the actors from the city level were either ‘players’ or ‘subjects’. The network density showed a strength of 0.328 during the last outbreak of H5N1, which decreased to 0.163 during the non-outbreak situation. Overall, there was low collaboration observed in this study, which ranged from communication (during non-outbreaks) to coordination (during outbreaks). The private and non-governmental actors were not integrated into collaborative activities. This study concludes that not only collaboration is needed for OH among the sectors pertaining to the human and the animal health system but also better structured (‘inter-level’) collaboration across the governance levels for effective implementation. MDPI 2020-10-07 /pmc/articles/PMC7712196/ /pubmed/33036422 http://dx.doi.org/10.3390/healthcare8040387 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yasobant, Sandul
Bruchhausen, Walter
Saxena, Deepak
Falkenberg, Timo
‘One Health’ Actors in Multifaceted Health Systems: An Operational Case for India
title ‘One Health’ Actors in Multifaceted Health Systems: An Operational Case for India
title_full ‘One Health’ Actors in Multifaceted Health Systems: An Operational Case for India
title_fullStr ‘One Health’ Actors in Multifaceted Health Systems: An Operational Case for India
title_full_unstemmed ‘One Health’ Actors in Multifaceted Health Systems: An Operational Case for India
title_short ‘One Health’ Actors in Multifaceted Health Systems: An Operational Case for India
title_sort ‘one health’ actors in multifaceted health systems: an operational case for india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712196/
https://www.ncbi.nlm.nih.gov/pubmed/33036422
http://dx.doi.org/10.3390/healthcare8040387
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