A social network analysis of Canadian food insecurity policy actors

Characterizing Food Policy Councils' Network Partnerships and COVID-19 Responses

The COVID-19 pandemic pushed millions of Americans into food insecurity. Food policy councils (FPCs) across the country played a vital role in organizing coordinated food responses across multiple sectors. We used a social network analysis (SNA) approach to investigate: (1) the network of partnering organizations and agencies within FPCs; (2) how the characteristics of FPCs' network partnerships (i.e., degree, coreness, and density) related to programmatic, policy, and advocacy actions in response to the pandemic; and (3) how FPCs' use of a racial or social equity framework shifted their network partnerships and responses. Local government agencies and food supply chain actors were core in FPCs' network partnerships, while public utilities, correctional facilities, social justice groups, and others were non-core partners. Network density was more likely to be associated with any action by FPCs, and it was especially pronounced for advocacy actions taken by FPCs; trends were similar among FPCs that reported using a racial or social equity framework. The findings begin to uncover core actors in FPCs' partnerships and opportunities to establish new partnerships, particularly with social justice groups. The results also suggest that network density (interconnectedness) may be more important than other network characteristics when responding to food-related needs.

Food Insecurity and Health: Marital Status and Gender Variations

Existing research has established the detrimental effects of food insecurity on health. However, understanding of the social conditions that may moderate this relationship remains limited. To address this gap, the study investigates two questions: First, does marital status moderate the association between food insecurity and self-rated health? Second, if such moderation exists, does its impact vary based on gender? Data from the 2017-2018 Canadian Community Health Survey, a nationally representative survey conducted by Statistics Canada (n =101 647), were utilized for this investigation. The findings demonstrated that individuals living in food-insecure households reported poorer self-rated mental and general health. However, the negative impact of food insecurity on both health outcomes was less pronounced among married individuals than among their unmarried counterparts. Furthermore, the stress-buffering role of marriage was found to be more substantial among men than among women. In light of the significant stress-buffering role of marriage revealed in this study, it is crucial for policies to aim at providing comparable coping resources to unmarried individuals, particularly women.

Trends and characteristics of China's medical informatization policy from 1996 to 2020: a bibliometric analysis

Purpose

Qualitative methods are not suitable to process high volumes of policy texts for exploring policy evolution. Therefore, it is hard to use qualitative methods to systematically analyze the characteristics of complex policy networks. So the authors propose a bibliometric research study for exploring policy evolution from time–agency–theme perspectives to excavate the rules and existing problems of China's medical informatization policy and to provide suggestions for formulating and improving the future medical informatization policies.

Design/methodology/approach

Initially, 615 valid samples are obtained by retrieving related China's medical informatization policy documents, and the joint policy-making agency network and the co-occurrence network models of medical informatization policies are defined, and then the authors research China's medical informatization policies from single-dimension and multi-dimension view.

Findings

The analysis results reveal that China's medical informatization policy process can be divided into four stages; the policy-making agencies are divided into four subgroups by community detection analysis according to the fast unfolding algorithm; the core policy theme keywords are identified based on the eigenvector centrality of the nodes in those networks; the focuses of theme terms are varied in different stages and the correlations between agencies and themes are gradually decentralized.

Practical implications

These findings provide experience and evidence on leveraging informatics in the medical and healthcare field of China. Also, they can help scholars and practitioners better understand the current status and future directions of medical and healthcare informatics development in China and provide a reference to formulate and improve China's future medical informatization policies.

Originality/value

This study proposes a quantitative bibliometric-based research framework to describe transitions and trends of China's medical informatization policy.

Assessing Canadians Health Activity and Nutritional Habits Through Social Media

When conducting data analysis in the twenty-first century, social media is crucial to the analysis due to the ability to provide information on a variety of topics such as health, food, feedback on products, and many others. Presently, users utilize social media to share their daily lifestyles. For example, travel locations, exercises, and food are common subjects of social media posts. By analyzing such information collected from users, health of the general population can be gauged. This analysis can become an integral part of federal efforts to study the health of a nation's people on a large scale. In this paper, we focus on such efforts from a Canadian lens. Public health is becoming a primary concern for many governments around the world. It is believed that it is necessary to analyze the current scenario within a given population before creating any new policies. Traditionally, governments use a variety of ways to gauge the flavor for any new policy including door to door surveys, a national level census, or hospital information to decide health policies. This information is limited and sometimes takes a long time to collect and analyze sufficiently enough to aid in decision making. In this paper, our approach is to solve such problems through the advancement of natural language processing algorithms and large scale data analysis. Our in-depth results show that the proposed method provides a viable solution in less time with the same accuracy when compared to traditional methods.

The application of 'valence' to the idea of household food insecurity in Canada

Household food insecurity (HFI), lack of access to adequate food due to financial constraint, has been studied extensively in Canada and is well-recognized for its negative impacts on population health. Despite considerable high-level political recognition, the issue has evoked little substantive policy deliberation. We suggest that Béland and Cox's recently articulated construct of 'valence' may be useful in examining why the idea of HFI has motivated little policy response. Valence is defined as the emotional quality of an idea. According to valence theory, ideas with a high emotional intensity, positive valence acquire importance in policy debate, and those with high intensity, negative valence are 'unthinkable' as a policy idea. We compiled four datasets in which HFI was discussed (verbatim legislative excerpts, parliamentary committee proceedings, government reports, interviews with HFI policy entrepreneurs), representing different kinds of political forums for debate. We analyzed what was said with respect to the valence of the idea of HFI. We found that discussions about HFI were on the whole generally subdued and of low emotional intensity. High intensity negative valence pronouncements were found among legislators' statements and parliamentary committee evidence. Regardless of emotional intensity level, speakers usually talked about the idea of HFI in ways that elicited a negative valence. Positive valence in discussion of the idea of HFI was limited and invoked comments about individual aspiration, prosperity, and community spirit. Our findings suggest that the negative valence of HFI is an inherent trait of the idea that makes it unattractive to policy makers. We suggest that HFI may be a better metric than a policy problem and that aspirational goals with positive valence related to poverty alleviation might better use HFI as an outcome rather than the focus of action.