Establishing a Multidisciplinary Framework for an Emergency Food Supply System Using a Modified Delphi Approach

Development and validation of the Information Literacy Measurement Scale (ILMS-34) in Chinese public health practitioners

BACKGROUND

Public health professionals (PHPs) have increasing information needs to inform evidence-based public health decisions and practice, which requires good information literacy. A comprehensive and reliable assessment tool is necessary to assess PHPs' literacy and guide future promotion programs. However, there is a lack of measurement tools specifically for the information literacy of PHPs.

OBJECTIVES

This study aimed to develop an information literacy assessment tool for PHPs and test its psychometric properties among PHPs.

METHODS

A 34-item Information Literacy Measurement Scale (ILMS-34) for PHPs was developed based on an extensive literature review, the Delphi method, and pilot testing. The ILMS-34 was further validated among 526 PHPs recruited from four cities in Guangdong Province, China, using convenience sampling. The sample was randomly divided into two equal groups for exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), respectively. Other psychometric testing included item analysis, Cronbach's α coefficient, three-week test-retest reliability, and known-group validity.

RESULTS

EFA yielded four dimensions for the ILMS-34: information consciousness, information knowledge, information ability, and information ethics. Subsequent CFA showed a good model fit of the four-factor structure (χ2/df = 1.485, RMSEA = 0.043, SRMR = 0.038, TLI = 0.977, CFI = 0.979). There were significant differences in each item between the high and low-scoring groups (p < 0.001), indicating good item discrimination. The ILMS-34 demonstrated good internal consistency with a Cronbach's α coefficient of 0.97 for the total scale (four subscales: 0.92, 0.92, 0.98, and 0.91, respectively). It also showed good test-retest reliability after three weeks with an ICC coefficient of 0.67. The DSE-MS scores varied by various sample characteristics, verifying the known-group validity.

CONCLUSION

The ILMS-34 is a multidimensional instrument with good psychometric properties and can be used as an effective tool to measure information literacy among PHPs. Further validation in other samples across various cultures is needed to test its broad application.

Integrated Governance Mechanisms for Empowerment and Resilience in International Food Value Chains

Considering the significance of the food sector in recent years, the main objective of this Special Issue is to identify the most appropriate governance mechanisms (formalized and relational) for the management of collaborative networks among the international chain of food companies, which are increasingly subject to greater risks and disruptions [...].

Issue Leadership: Establishing a Domain for a Food Systems Leadership Model

A sustainable food system is a fundamental requirement for the ongoing functioning and growth of society. However, despite the critical importance of the food system from both economic and social perspectives, there are several political, environmental, and human capital issues which represent barriers to sustainable production. For example, in the United States, the need for more production capacity to feed a growing population is juxtaposed with a shrinking and aging food system workforce. The nexus of such fundamentally opposed issues represents a situation in which technical solutions may be insufficient. Using a three-round Delphi process with an expert panel, a total of 106 unique leadership competencies or behaviors were identified. The resulting behaviors and competencies were then thematically analyzed using the constant comparative method. The proposed food systems leadership model, named Issue Leadership, includes 39 subthemes and 7 primary themes. The primary themes include action; change; communication; critical thinking, strategic planning and visioning; interpersonal traits and characteristics; leadership skills; and leadership processes. This study establishes the unique context that agriculture and food systems represent and the necessity for leadership models that are competency- and practice-based.

Forecasting Food Innovations with a Delphi Study

Food innovations can create novel nutritious food, improve agricultural sustainability, and increase the agri-food industry's market profits. Our study proposes a consensus definition of food innovations and forecasts food innovations that will be available to consumers in the next five years by using a Delphi study. Thirteen experts aged 35 to 85 from the US and the UK researching or working in agriculture and nutrition, public health, the agri-food industry, or food policy participated in three rounds of this Delphi study. The experts were chosen using the snowball sampling method. This study followed the implementation and data analysis guidelines popularized by the Rand Corporation. The consensus definition for food innovations (with 76.9% agreement) was that 'food innovations aid in the development, production, or transportation of new food products, processes, or technology to promote human health, food security, or environmental sustainability'. The specific food innovations, which had over 69% agreement, are ranked as (1) plant-based meat alternatives, (2) personalized nutrition, (3) natural foods, (4) new genetically modified organisms, (5) regenerative agriculture, (6) urban agriculture, (7) packing innovations, (8) alternative flours, (9) improving shelf life, (10) supply chain technologies, (11) improved soil health, and (12) technology for traceability. The food innovation definition and identified specific food innovations could further connect the agricultural value chain to develop novel nutritious foods and improve agricultural sustainability. Agri-food industry specialists, practitioners, researchers, and policymakers can advance food innovation development and research pinpointing the specific food innovations along the agricultural value chain.

The Russia-Ukraine Conflict: Its Implications for the Global Food Supply Chains

Food is one of the most traded goods, and the conflict in Ukraine, one of the European breadbaskets, has triggered a significant additional disruption in the global food supply chains after the COVID-19 impact. The disruption to food output, supply chains, availability, and affordability could have a long-standing impact. As a result, the availability and supply of a wide range of food raw materials and finished food products are under threat, and global markets have seen recent increases in food prices. Furthermore, the Russian-Ukrainian conflict has adversely affected food supply chains, with significant effects on production, sourcing, manufacturing, processing, logistics, and significant shifts in demand between nations reliant on imports from Ukraine. This paper aims to analyze the impacts of the conflict between Russia and Ukraine on the effectiveness and responsiveness of the global food supply chains. A PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach, including grey literature, was deployed to investigate six key areas of the food supply chains that would be impacted most due to the ongoing war. Findings include solutions and strategies to mitigate supply chain impacts such as alternative food raw materials, suppliers and supply chain partners supported by technological innovations to ensure food safety and quality in warlike situations.