A qualitative analysis of health information-sharing networks in the Indonesian poultry sector.

Complex systems Infectious diseases Information network Poultry Value chain

Journal

Preventive veterinary medicine
ISSN: 1873-1716
Titre abrégé: Prev Vet Med
Pays: Netherlands
ID NLM: 8217463

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 20 02 2023
revised: 21 07 2023
accepted: 14 08 2023
pubmed: 2 9 2023
medline: 2 9 2023
entrez: 1 9 2023
Statut: ppublish

Résumé

Animal production systems are developing into increasingly complex value chains involving a large diversity of actors with multiple and dynamic linkages, concurrently creating many opportunities for disease spread. Access to timely and good-quality animal health information is vital for designing effective disease management strategies. However, several factors may hamper information flows along those chains. Understanding the structure and dynamics of information networks is essential to develop effective and acceptable health information systems. We applied a qualitative network approach to understand how information about poultry health is generated, disseminated and used for decision-making along the poultry value chain in Indonesia. Maps of the value chain and information networks were generated based on data from key informant interviews to illustrate the linkages and information-sharing patterns between stakeholders. Four types of farm business models were identified: company-owned, contract, partnership and independent. Although companies and most independent farmers collected health and production data routinely, their systems were strongly siloed and still relied on a mix of digital and paper-based methods, which impaired their analytical capacity. Technical service providers from the upstream sector and industry associations were identified as key intermediaries in the information-sharing network with the ability to create informal bridges between separate business networks and public actors. These actors can play a strategic role in the development of integrated information systems to improve stakeholders' capacity to monitor, anticipate and manage disease threats at all levels of the value chain. This study contributes to fill an important knowledge gap regarding the layer sector and may help decision-makers to design effective policies and interventions tailored to the type of business model.

Identifiants

pubmed: 37657198
pii: S0167-5877(23)00167-8
doi: 10.1016/j.prevetmed.2023.106003
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

106003

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors report no conflict of interest.

Auteurs

L Chapot (L)

Ausvet, Ausvet Europe, 3 Rue Camille Jordan, 69001 Lyon, France; IHAP, Université de Toulouse, INRAE, ENVT, 23 Chemin des Capelles, 31300 Toulouse, France. Electronic address: lorraine.chapot@ausvet.com.au.

R Hibbard (R)

Ausvet, Ausvet Europe, 3 Rue Camille Jordan, 69001 Lyon, France; IHAP, Université de Toulouse, INRAE, ENVT, 23 Chemin des Capelles, 31300 Toulouse, France.

K B Ariyanto (KB)

Ausvet, Ausvet representative office Indonesia, Arkadia Green Park, Tower G Lv. 8, 12520 DKI Jakarta, Indonesia.

K Y Maulana (KY)

Ausvet, Ausvet representative office Indonesia, Arkadia Green Park, Tower G Lv. 8, 12520 DKI Jakarta, Indonesia.

H Yusuf (H)

Ausvet, Ausvet representative office Indonesia, Arkadia Green Park, Tower G Lv. 8, 12520 DKI Jakarta, Indonesia.

W Febriyani (W)

Ausvet, Ausvet representative office Indonesia, Arkadia Green Park, Tower G Lv. 8, 12520 DKI Jakarta, Indonesia.

A Cameron (A)

Ausvet, Ausvet Europe, 3 Rue Camille Jordan, 69001 Lyon, France.

M Paul (M)

IHAP, Université de Toulouse, INRAE, ENVT, 23 Chemin des Capelles, 31300 Toulouse, France.

C Faverjon (C)

Ausvet, Ausvet Europe, 3 Rue Camille Jordan, 69001 Lyon, France.

T Vergne (T)

IHAP, Université de Toulouse, INRAE, ENVT, 23 Chemin des Capelles, 31300 Toulouse, France.

Classifications MeSH