Dataset Information

The Value Chain Approach in One Health: Conceptual Framing and Focus on Present Applications and Challenges.

ABSTRACT: The value chain (VC) is a major operational concept for socioeconomic analysis at meso level. Widely mobilized in development practice, it is still undergoing conceptual and practical refining, e.g., to take account of environmental and social sustainability. Briefly, VC refers to a system of value creation through the full set of actors, links, technical and commercial activities and flows involved in the provision of a good or service on a market. In the past decade, this concept has been promoted in the management of animal health. In particular, the emergence of highly pathogenic avian influenza (HPAI) has triggered an interdisciplinary dynamic including VC analysis as a central tool. These efforts promoted participatory investigation methods in the analysis of health systems. Using qualitative and quantitative data, these methods acknowledge the usefulness of actors' involvement and knowledge, hence facilitating the transdisciplinarity needed for effective action. They fit into adaptive and action-oriented strategies, fostering stakeholders' participation. Recent research on HPAI surveillance in South-East Asia merged VC and participatory approaches to develop innovative tools for analyzing constraints to information flow. On-going interventions for HPAI prevention and control as well as the prevention of other emerging zoonotic risks in Africa are presently building on this VC framework to develop strategies for its application at national and regional scales. Based on the latter experiences, this article proposes a field-based perspective on VC applications to animal and public health systems, within a One Health approach responding to the overall challenge of complexity.

SUBMITTER: Antoine-Moussiaux N

PROVIDER: S-EPMC5732130 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Value Chain Approach in One Health: Conceptual Framing and Focus on Present Applications and Challenges.

Antoine-Moussiaux Nicolas N Peyre Marisa M Bonnet Pascal P Bebay Charles C Bengoumi Mohammed M Tripodi Astrid A

Frontiers in veterinary science 20171211

The value chain (VC) is a major operational concept for socioeconomic analysis at meso level. Widely mobilized in development practice, it is still undergoing conceptual and practical refining, e.g., to take account of environmental and social sustainability. Briefly, VC refers to a system of value creation through the full set of actors, links, technical and commercial activities and flows involved in the provision of a good or service on a market. In the past decade, this concept has been prom ...[more]

PMID: 29322047

Similar Datasets

Project description:The value proposition for biosimilars can be characterized as a concept that moves beyond the argument of cost reduction relative to the innovator biologic drug and into a framework that incorporates the diverse needs of key healthcare stakeholders during the transition from clinical development to commercialization in the marketplace.To identify factors that facilitate and inhibit the development, commercialization, and adoption of biosimilars, and to recommend modifications in program design that are likely to support the demonstration of the value of biosimilars for payers, providers, and patients.The primary data sources for this article include surveys conducted by Boston Healthcare Associates with payers and clinicians in the United States and the European Union 5 markets and blinded international protocol feasibility assessments completed by Worldwide Clinical Trials. Survey methodology used either convenience or purposeful sampling as appropriate, with participants extracted from diverse audiences, representative of those who generate or evaluate clinical data shaping the economic exchange and preferential status influencing physician adoption and patient access to biosimilars. Patient characteristics and psychosocial issues influencing patients' perception of small-molecule generics were extracted from the available literature to inform exploratory hypotheses, given the relative absence of such information for biosimilars.This article reviews the current evidence and summarizes results of surveys conducted with payers, providers, and drug investigation sites in the United States. Based on a review of published literature, as well as these survey results, conflicting and convergent demands exist for gathering data related to biosimilars. The motivations and data needs for these new agents are diverse, requiring adjudication of regulatory, economic, and clinical incentives beginning at program inception and extending through commercialization of the final biosimilar agent.The development and commercialization of biosimilars represent an international activity that can encounter unanticipated challenges, as well as opportunities to achieve clinical and commercial success. Evolving regulatory guidance mapped in relation to payer, physician, and patient sentiments may inform the biosimilar development program designs, implementation, and positioning of the new drug.

Project description:Highlights • Complex socio-technical challenges lack a method for their holistic framing.• Existent problem-framing methods are biased in favor of expert opinion.• CSFA provides a pattern-based ontological frame for complex problems.• System user data can be valuably mined to aid experts with problem-framing.• CSFA yields frames with improved coverage of plurality, abstraction, context and scope. Complex socio-technical challenges, often referred to as grand challenges or wicked problems, lack a robust method for their holistic framing. Current approaches to framing fall into two primary categories. On one hand, models grounded in reductionist perspectives tend to oversimplify the problems and thus fall short of capturing the true complexity that must be understood to make tangible progress. On the other, notable attempts to achieve holism are more effective at incorporating contextual nuance, but still lack systematicity to identify and drive effective inclusion of critical issues, and also tend to suffer from the inherent bias of select expert input. In this article, we report on an extension of holistic problem framing techniques called comprehensive success factor analysis (CSFA) that makes-sense of web-mined information reflective of both expert and general population perspectives as well as pattern-informed ontological knowledge organization structure, to yield ‘richer pictures’ of grand challenges. This method has been developed and refined over a seven-year period by application to a variety of distinct socio-technical challenges, and emphasizes that framing complex problems requires one to embrace multiple levels of abstraction, a plurality of perspectives, careful contextualization, and an overarching system view. The CSFA method results in ‘success factor trees’ that are more comprehensive than seen otherwise and present a holistic view of the essential factors that need to be considered when engaging in large scale socio-technical problems. The success factor trees provide common grounds for meaningful collaboration and discourse on grand challenges, facilitate more informed resource allocation decisions, and provide guidance for designing solutions through careful consideration of system factors that are not always apparent. The paper illustrates CSFA applied to the challenge of ‘food security for a nation in a low- to middle-income country context’ to ascertain the value of the approach and finds that it results in a robust view of the challenge that greatly exceeds perspectives arrived at in the literature using current framing methods, on dimensions of scope, levels of abstraction, plurality, and context detail. Graphical abstract Image, graphical abstract

Project description:Food networks present varying food safety concerns because of the complexity of interactions, production, and handling practices. We investigated total bacteria counts (TBCs) and total coliform counts (TCCs) in various nodes of a Nairobi dairy value chain and identified practices that influence food safety. A value chain analysis framework facilitated qualitative data collection through 23 key informant interviews and 20 focus group discussions. Content thematic analysis identified food safety challenges. Cow milk products (N = 290) were collected from farms (N = 63), collection centers (N = 5), shops/kiosks (N = 37), milk bars (N = 17), roadside vendors (N = 14), restaurants (N = 3), milk vending machines (N = 2), mobile traders (N = 2) and a supermarket (N = 1). Mean values of colony-forming units for TBC and TCC were referenced to East African Standards (EAS). Logistic regression analysis assessed differences in milk acceptability based on EAS. The raw milk from farms and collection centers was relatively within acceptable EAS limits in terms of TBC (3.5 × 105 and 1.4 × 106 respectively) but TCC in the milk from farms was 3 times higher than EAS limits (1.5 × 105). Compared to farms, the odds ratio of milk acceptability based on TBC was lower on milk bars (0.02), restaurants (0.02), roadside vendors (0.03), shops/kiosks (0.07), and supermarkets (0.17). For TCC, the odds that milk samples from collection centers, milk bars, restaurants, roadside vendors, and shops/kiosks were acceptable was less than the odds of samples collected from farms (0.18, 0.03, 0.06, 0.02, and 0.12, respectively). Comparison of raw milk across the nodes showed that the odds of milk samples from restaurants, roadside vendors, and shops/kiosks being acceptable were less than the odds of samples collected the farm for TBC (0.03, 0.04, and 0.04, respectively). For TCC, the odds of raw milk from collection centers, restaurants, roadside vendors, milk bars, and shops/kiosks being acceptable were lower than the odds of acceptability for the farm samples (0.18, 0.12, 0.02, 0.04, and 0.05, respectively). Practices with possible influence on milk bacterial quality included muddy cowsheds, unconventional animal feed sources, re-use of spoilt raw milk, milk adulteration, acceptance of low-quality milk for processing, and lack of cold chain. Therefore, milk contamination occurs at various points, and the designing of interventions should focus on every node.

Project description:The chicken industry of Pakistan is a major livestock sub-sector, playing a pivotal role in economic growth and rural development. This study aimed to characterize and map the structure of broiler and layer production systems, associated value chains, and chicken disease management in Pakistan. Qualitative data were collected in 23 key informant interviews and one focus group discussion on the types of production systems, inputs, outputs, value addition, market dynamics, and disease management. Quantitative data on proportions of commodity flows were also obtained. Value chain maps were generated to illustrate stakeholder groups and their linkages, as well as flows of birds and products. Thematic analysis was conducted to explain the functionality of the processes, governance, and disease management. Major chicken production systems were: (1) Environmentally controlled production (97-98%) and (2) Open-sided house production (2-3%). Broiler management systems were classified as (I) Independent broiler production; (II) Partially integrated broiler production; and (III) Fully integrated broiler production, accounting for 65-75, 15-20, and 10-15% of commercial broiler meat supply, respectively. The management systems for layers were classified as (I) Partially integrated layer production and (II) Independent layer production, accounting for 10 and 80-85% in the egg production, respectively. The share of backyard birds for meat and eggs was 10-15%. Independent, and integrated systems for chicken production could be categorized in terms of value chain management, dominance of actors, type of finished product and target customers involved. Integrated systems predominantly targeted high-income customers and used formal infrastructure. Numerous informal chains were identified in independent and some partially integrated systems, with middlemen playing a key role in the distribution of finished birds and eggs. Structural deficiencies in terms of poor farm management, lack of regulations for ensuring good farming practices and price fixing of products were key themes identified. Both private and public stakeholders were found to have essential roles in passive disease surveillance, strategy development and provision of health consultancies. This study provides a foundation for policy-makers and stakeholders to investigate disease transmission, its impact and control and the structural deficiencies identified could inform interventions to improve performance of the poultry sector in Pakistan.

Dataset Information

The Value Chain Approach in One Health: Conceptual Framing and Focus on Present Applications and Challenges.

Publications

The Value Chain Approach in One Health: Conceptual Framing and Focus on Present Applications and Challenges.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets