A social problem analysis of the 1993 Brady Act and the 2022 Bipartisan Safer Communities Act.

In June 2022, the U.S. federal government passed its first major firearm policy since the Brady Handgun Violence Prevention Act of 1993, the Bipartisan Safer Communities Act (BSCA). Summative content analysis was used to explore how the social problem of firearm violence was outlined in both policies, with the goal of extracting the social issue's definition from the policies' approaches to solving it. Both policies do not outline the various types of firearm violence, nor the disproportionate effect of firearm violence on certain populations. This work informs the role of federal policy in defining and monitoring firearm violence as a public health issue, identifying both individual and structural risk and protective factors from an asset-based lens, and allocating preventative efforts in communities that are most affected.

National strategies for knowledge translation in health policy-making: A scoping review of grey literature.

BACKGROUND AND OBJECTIVES: Without strategic actions in its support, the translation of scientific research evidence into health policy is often absent or delayed. This review systematically maps and assesses national-level strategic documents in the field of knowledge translation (KT) for health policy, and develops a practical template that can support Evidence-informed Policy Network (EVIPNet) Europe countries in producing national strategies for evidence-informed policy-making. METHODS: Websites of organizations with strategic responsibilities in KT were electronically searched, on the basis of pre-defined criteria, in July-August 2017, and an updated search was carried out in April-June 2021. We included national strategies or elements of national strategies that dealt with KT activities, as well as similar strategies of individual institutions with a national policy focus. Two reviewers screened the strategies for inclusion. Data were analysed using qualitative content analysis. RESULTS: A total of 65 unique documents were identified, of which 17 were eligible and analysed for their structure and content. Of the 17, 1 document was a national health KT action plan and 6 documents were institution-level KT strategies. The remaining 10 strategies, which were also included were 2 national health strategies, 5 national health research strategies and 3 national KT strategies (not specific to the field of health alone). In all, 13 structural elements and 7 major themes of health policy KT strategies were identified from the included documents. CONCLUSION: KT in health policy, as emerged from the national strategies that our mapping identified, is based on the production and accessibility of policy-relevant research, its packaging for policy-making and the activities related to knowledge exchange. KT strategies may play different roles in the complex and context-specific process of policy-making. Our findings show that the main ideas of health-specific evidence-informed policy literature appear in these strategies, but their effectiveness depends on the way stakeholders use them. Specific knowledge-brokering institutions and organizational capacity, advocacy about the use of evidence, and close collaboration and co-decision-making with key stakeholders are essential in furthering the policy uptake of research results.

Trajectory of COVID-19 response and management strategy in China: scientific rationale driven strategy adjustments.

The pneumonia caused by novel coronavirus SARS-CoV-2 infection in early December 2019, which was later named coronavirus disease 2019 (COVID-19) by the World Health Organization (WHO), rapidly spread across the world. China has made extraordinary efforts to this unprecedented pandemic, put its response and control at a very high level of infectious disease management (Category B but with measures for Category A), given top priority to the people and their lives, and balanced the pandemic control and socio-economic development. After more than three years' fighting against this disease, China downgraded the management of COVID-19 to Category B infectious disease on January 8, 2023 and the WHO declared the end of public health emergency on May 5, 2023. However, the ending of pandemic does not mean that the disease is no longer a health threat. Experiences against COVID-19 from China and the whole world should be learned to prepare well for the future public health emergencies. This article gives a systematic review of the trajectory of COVID-19 development in China, summarizes the critical policy arrangements and provides evidence for the adjustment during policy making process, so as to share experiences with international community and contribute to the global health for all humanity.

Politics-evidence conflict in national health policy making in Africa: a scoping review.

BACKGROUND: Generally, public health policy-making is hardly a linear process and is characterized by interactions among politicians, institutions, researchers, technocrats and practitioners from diverse fields, as well as brokers, interest groups, financiers and a gamut of other actors. Meanwhile, most public health policies and systems in Africa appear to be built loosely on technical and scientific evidence, but with high political systems and ideologies. While studies on national health policies in Africa are growing, there seems to be inadequate evidence mapping on common themes and concepts across existing literature. PURPOSE: The study seeks to explore the extent and type of evidence that exist on the conflict between politics and scientific evidence in the national health policy-making processes in Africa. METHODS: A thorough literature search was done in PubMed, Cochrane Library, ScienceDirect, Dimensions, Taylor and Francis, Chicago Journals, Emerald Insight, JSTOR and Google Scholar. In total, 43 peer-reviewed articles were eligible and used for this review. RESULT: We found that the conflicts to evidence usage in policy-making include competing interests and lack of commitment; global policy goals, interest/influence, power imbalance and funding, morals; and evidence-based approaches, self-sufficiency, collaboration among actors, policy priorities and existing structures. Barriers to the health policy process include fragmentation among actors, poor advocacy, lack of clarity on the agenda, inadequate evidence, inadequate consultation and corruption. The impact of the politics-evidence conflict includes policy agenda abrogation, suboptimal policy development success and policy implementation inadequacies. CONCLUSIONS: We report that political interests in most cases influence policy-makers and other stakeholders to prioritize financial gains over the use of research evidence to policy goals and targets. This situation has the tendency for inadequate health policies with poor implementation gaps. Addressing these issues requires incorporating relevant evidence into health policies, making strong leadership, effective governance and a commitment to public health.

Developing a hetero-intelligence methodological framework for sustainable policy-making based on the assessment of large language models.

This work delves into the increasing relevance of Large Language Models (LLMs) in the realm of sustainable policy-making, proposing an innovative hetero-intelligence framework that blends human and artificial intelligence (AI) for tackling modern sustainability challenges. The research methodology includes a hetero-intelligence performance test, which juxtaposes human intelligence with AI in the formulation and implementation of sustainable policies. After testing this hetero-intelligence methodology, seven steps are rigorously described so that it can be replicated in any sustainability planning related context. The results underscore the capabilities and limitations of LLMs, underscoring the critical role of human intelligence in enhancing the efficacy of hetero-intelligence systems. This work fulfils the need of a rigorous methodological framework based on empirical steps that can provide unbiased outcomes to be integrated into sustainable planning and decision-making processes.•Assesses LLMs' limitations and capabilities regarding sustainable planning issues•A replicable methodology is proposed based on the combination of both human and artificial intelligence•It proposes and systematises the integration of a hetero-intelligent approach into the formulation of sustainability policies to be more efficient and effective.

Exploring the role of smart cities in supporting ageing-in-place in Chongqing, China.

OBJECTIVE: Through interviews with older adults and professionals in Chongqing, China, this paper explores the challenges and opportunities faced by smart cities that undertake to better support ageing-in-place. METHODS: We undertook a qualitative multi-methods approach, engaging 46 professional stakeholders and 64 older people to examine the role of smart cities in enabling older people to age-in-place in Chongqing, China. RESULTS: With the development of smart cities, technology has the potential to facilitate ageing-in-place by creating opportunities for heathy and active ageing. This study identified specific priorities in delivering age-friendly smart cities, including the following: shaping smart environments around the everyday lives of older people, designing inclusive and equitable smart cities and ensuring strong forms of institutional governance, trust and relationship building with older people. CONCLUSIONS: The age-friendly city and communities movement (AFCC) and smart city policy instruments have potential for realising active ageing by supporting mobility, access to services and civic participation. However, there exists a disconnect between smart city policy and practice in delivering tangible well-being outcomes for older people. Addressing this requires greater cross-sectoral working, reconciling smart city policy priorities with AFCC domains and creating the institutional and governance framework to enable socially sustainable cities to support ageing-in-place.

Evaluating hepatitis C cascade of care surveillance system in Tuscany, Italy, through a population retrospective data-linkage study, 2015-2021.

This comprehensive retrospective data-linkage study aimed at evaluating the impact of Direct-Acting Antivirals (DAAs) on Hepatitis C Virus (HCV) testing, treatment trends, and access to care in Tuscany over six years following their introduction. Utilizing administrative healthcare records, our work reveals a substantial increase in HCV tests in 2017, attributed to the decision to provide universal access to treatment. However, despite efforts to eradicate chronic HCV through a government-led plan, the target of treating 6,221 patients annually was not met, and services contracted after 2018, exacerbated by the COVID-19 pandemic. Key findings indicate a higher prevalence of HCV screening among females in the 33-53 age group, influenced by pregnancy-related recommendations, while diagnostic tests and treatment uptake were more common among males. Problematic substance users constituted a significant proportion of those tested and treated, emphasizing their priority in HCV screening. Our paper underscores the need for decentralized HCV models and alternative testing strategies, such as point-of-care assays, especially in populations accessing harm reduction services, communities, and prisons. The study acknowledges limitations in relying solely on administrative records, advocating for improved data access and timely linkages to accurately monitor HCV care cascades and inform regional plans. Despite challenges, the paper demonstrates the value of administrative record linkages in understanding the access to care pathway for hard-to-reach populations. The findings emphasize the importance of the national HCV elimination strategy and the need for enhanced data collection to assess progress accurately, providing insights for future regional and national interventions.

Public perception on active aging after COVID-19: an unsupervised machine learning analysis of 44,343 posts.

Introduction: To analyze public perceptions of active aging in China on mainstream social media platforms to determine whether the "14th Five Year Plan for the Development of the Aging Career and Older Adult Care System" issued by the CPC in 2022 has fully addressed public needs. Methods: The original tweets posted on Weibo between January 1, 2020, and June 30, 2022, containing the words "aging" or "old age" were extracted. A bidirectional encoder representation from transformers (BERT)-based model was used to generate themes related to this perception. A qualitative thematic analysis and an independent review of the theme labels were conducted by the researchers. Results: The findings indicate that public perceptions revolved around four themes: (1) health prevention and protection, (2) convenient living environments, (3) cognitive health and social integration, and (4) protecting the rights and interests of the older adult. Discussion: Our study found that although the Plan aligns with most of these themes, it lacks clear planning for financial security and marital life.

Interviews with policymakers in Australian health policy: Understanding the process of policy development.

OBJECTIVE: To determine the barriers and enablers oral health and chronic disease policymakers identify during policy development. METHODS: Semi-structured interview questions were developed utilizing an interview guide and applying a knowledge mobilization framework. Reflective thematic analysis of the data was completed based on the research of Braun and Clarke encompassing a critical realist approach. RESULTS: Twelve policymakers were interviewed. Policymakers reported barriers to accessing evidence including the sheer volume of information and a lack of: research summaries, comprehensive oral health data sets, open access articles, consistency of reporting, and time. They did find relationships with experts and intermediaries crucial at times to policy development. Co-creation of research was also a key enabler for policymakers. CONCLUSIONS: This study highlights that policymakers find evidence crucial during the development of policy and often use it to advocate for policies. However, the links between poor oral health; and cardiovascular disease, diabetes, and cognitive impairment are not well recognized among chronic disease policymakers. It is important that oral health researchers and policymakers work to close this gap. The treatment of poor oral health is a global population health issue. It is imperative that evidence of these links is implemented into health policy for the treatment and prevention of chronic diseases and improved quality of life for individuals living with chronic diseases.

Mapping student engagement in health professions education policy and decision-making: a scoping review.

BACKGROUND: "Student engagement" (SE) is gaining momentum as an approach to improve the performance of health professions education (HPE). Nevertheless, despite the broad studies about the role of students in various areas, little is known about the role of SE in policy and decision-making activities. This study aimed to map SE in policy and decision-making regarding terms and definitions, engagement models, influencing factors, outcomes and achievements, and the interconnection between the influencing factors. METHOD: Five databases (PubMed, Scopus, ProQuest, Web of Science, and ERIC) were systematically searched from Jan 1, 1990, to Nov 12, 2022. The review was followed according to the Arksey and O'Malley framework for scoping reviews and reported according to the PRISMA-ScR guidelines. We included articles published in English focusing on HPE policy and decision-making. The authors summarized and synthesized the findings into themes, subthemes, tables, and models. RESULTS: Of the 22 articles included in the full-text review, terms and definitions were tabled, and three themes were extracted: 1. models of SE, in which 10 studies (45.5%) presented the highly structured formal models as Organizations, 5 studies (22.7%) reported less-structured community and group as Programs, and 7 studies (31.8%) engaged students only in surveys or interviews as Perspective; 2. Factors influencing SE, that were categorized into 7 subthemes: structural, environmental, and motivational factors, member characteristics, training and mentoring, member relationships, valuing and recognizing. 3. Outcomes and achievements of SE related to systems and members. The interconnection between influencing factors is also demonstrated as a conceptual model. DISCUSSION: There are various SE models in HPE policy and decision-making, which are mapped and categorized depending on the degree of formality, structuredness, and level of engagement. In our study, three more common SE models in HPE policy and decision-making were investigated. Additionally, these collaborative methods emphasized curriculum development and quality assurance and employed students in these activities. It is worth mentioning that to make SE models more efficient and sustainable, several influencing factors and their interconnections should be considered.

A case study of using community-based consensus methods to facilitate shared decision-making among a spinal cord injury network.

Spinal cord injury (SCI) research and policy decisions are rarely made in partnership with people with SCI, making them less relevant, applicable, and used by those whom the decisions are intended to support. Across disciplines, consensus methods have been promoted as a viable solution for supporting shared research and policy-based decision-making. In this paper, we describe a partnered approach between academic researchers and the Ontario SCI Alliance, a non-profit, SCI community mobilization network to co-develop and co-disseminate a community-based consensus exercise. The community-based consensus exercise included two modified Delphi surveys and one in-person retreat. The partnership's goal with this exercise was to facilitate shared decision-making for the development of their upcoming strategic plan. We then interviewed partners and participants from the Delphi and in-person retreat to discuss successes, challenges, and lessons learned from the exercise. Survey 1 was disseminated to over 2,500 members of the Ontario SCI community and received 374 responses (276 coming from people with SCI). Survey 2 had 118 responses, with 87 coming from people with SCI. The retreat had 73 attendees, including people with SCI, family/friends of people with SCI, clinicians, researchers, and SCI community and research organization staff/volunteers. The retreat included a presentation of the survey results, a clinician/researcher panel, and externally-facilitated working groups. All survey responses and retreat materials were synthesized. Using the synthesized feedback, the Ontario SCI Alliance was able to implement several changes for the Ontario SCI community, including higher-quality primary care experiences (reduced wait times, more accessible examining rooms), the development of a wound care strategy with the Ontario government, and an advocacy campaign for public coverage for catheters and urinary care supplies. From the five interviews conducted, five themes were co-constructed regarding the successes, challenges, and lessons learned from the exercise: (1) Inclusion, Diversity, Equity, and Accessibility; (2) Partnership; (3) Design Considerations; (4) Transparency and Clarity in Communication; and (5) Sustainability. Findings from this community case study demonstrate the feasibility of conducting a community-level consensus exercise among an equity-deserving group while providing detailed guidance for how to ensure future research and policy-based decision-making is shared across diverse knowledge users.

An integrative decision-making framework to guide policies on regulating ChatGPT usage.

Generative artificial intelligence has created a moment in history where human beings have begin to closely interact with artificial intelligence (AI) tools, putting policymakers in a position to restrict or legislate such tools. One particular example of such a tool is ChatGPT which is the first and world's most popular multipurpose generative AI tool. This study aims to put forward a policy-making framework of generative artificial intelligence based on the risk, reward, and resilience framework. A systematic search was conducted, by using carefully chosen keywords, excluding non-English content, conference articles, book chapters, and editorials. Published research were filtered based on their relevance to ChatGPT ethics, yielding a total of 41 articles. Key elements surrounding ChatGPT concerns and motivations were systematically deduced and classified under the risk, reward, and resilience categories to serve as ingredients for the proposed decision-making framework. The decision-making process and rules were developed as a primer to help policymakers navigate decision-making conundrums. Then, the framework was practically tailored towards some of the concerns surrounding ChatGPT in the context of higher education. In the case of the interconnection between risk and reward, the findings show that providing students with access to ChatGPT presents an opportunity for increased efficiency in tasks such as text summarization and workload reduction. However, this exposes them to risks such as plagiarism and cheating. Similarly, pursuing certain opportunities such as accessing vast amounts of information, can lead to rewards, but it also introduces risks like misinformation and copyright issues. Likewise, focusing on specific capabilities of ChatGPT, such as developing tools to detect plagiarism and misinformation, may enhance resilience in some areas (e.g., academic integrity). However, it may also create vulnerabilities in other domains, such as the digital divide, educational equity, and job losses. Furthermore, the finding indicates second-order effects of legislation regarding ChatGPT which have implications both positively and negatively. One potential effect is a decrease in rewards due to the limitations imposed by the legislation, which may hinder individuals from fully capitalizing on the opportunities provided by ChatGPT. Hence, the risk, reward, and resilience framework provides a comprehensive and flexible decision-making model that allows policymakers and in this use case, higher education institutions to navigate the complexities and trade-offs associated with ChatGPT, which have theoretical and practical implications for the future.

Consumers' perception of novel foods and the impact of heuristics and biases: A systematic review.

According to the definition adopted in the European Union, novel foods are foods that were not consumed to a significant degree within the Union before May 15, 1997. This includes cultivated meat and insects. Novel foods are meant to play a critical role in the transition towards sustainable food systems. However, their success depends on whether and to what extent they will be incorporated into the diets at the population level. This review investigates consumers' perception of novel food products by narratively synthesising results on the influence of heuristics and biases triggered by emotions, personality traits, and socio-cultural factors. Empirical studies conducted in Western countries and published in English after 1997 were eligible, which led to 182 studies being included. Notably, most included studies focused on insects and cultivated meat. Disgust and fear are shown to be the main emotions driving rejection of novel foods, together with food neophobia and specific cultural norms common across countries included in the scope of the review. Familiarity with novel foods and curiosity both led to higher acceptance. Despite being investigated directly in a minority of studies, heuristics and related biases mostly fell under the "affect," the "natural-is-better," and the "trust" heuristics. The review also discusses to what extent consumers' perception reflects in the regulatory framework applicable to novel foods in the European Union, how it influences the regulation of insects and cultivated meat and which lessons can be drawn for the future of the regulatory framework.

Immigration, policies of integration and healthcare expenditure: A longitudinal analysis of the INHS (2002‒2018).

BACKGROUND: Immigration has become a structural phenomenon in Italy, a country reputed as being 'immigrant-friendly'. The increase in the proportion of immigrants has led to increasing efforts to design and implement health policies throughout the country while controlling public spending. METHOD: Being interested in both the cross-sectional and time series dimensions of analysis, we used a PVAR (Panel Vector Autoregression) model, which combines the VAR technique with panel data models, to estimate the impact of regular immigration on health expenditure. FINDINGS: Our results confirm that an increase in the share of regular immigrants in the total population decreases the amount of aggregate public health expenditure. CONCLUSION: Despite the intense activity by Italian governments on social and health integration policies for immigrants, policymakers may focus more on the implementation of national policies at regional and local levels, on their costs and with a specific focus on undocumented immigrants.

How Public Health Organizational Structure Affected the Response to the COVID-19 Pandemic: A Case Study in British Columbia, Canada.

Objectives: This study sought to examine how public health organizational structures affected decision-making and provides recommendations to strengthen future public health crisis preparedness. Methods: The Institutions-Politics-Organizations-Governance (IPOG) framework and an organizational lens was applied to the analysis of COVID-19 governance within British Columbia (BC). Organizational charts detailing the structure of public health systems were compiled using available data and supplemented with data collected through key informant interviews. Results: In response to the COVID-19 pandemic, BC initiated several changes in its public health organization. BC's COVID-19 response attempted to utilize a centralized command structure within a decentralized health system. Four key themes were identified pertaining to the 1) locus of decision-making and action; 2) role of emergency structures; 3) challenges in organizational structure; and 4) balance between authority and participation in decision-making. Conclusion: The organizational adaptations enabled a substantively effective response. However, our findings also illustrate deficiencies in organizational structure in the current public health system. Two recommendations for consideration are: 1) a more formal vertical organizational structure; and 2) developing new mechanisms to link health and general emergency response structures.

Predicting environmental impacts of smallholder wheat production by coupling life cycle assessment and machine learning.

Wheat grain production is a vital component of the food supply produced by smallholder farms but faces significant threats from climate change. This study evaluated eight environmental impacts of wheat production using life cycle assessment based on survey data from 274 households, then built random forest models with 21 input features to contrast the environmental responses of different farming practices across three shared socioeconomic pathways (SSPs), spanning from 2024 to 2100. The results indicate significant environmental repercussions. Compared to the baseline period of 2018-2020, a similar upward trend in environmental impacts is observed, showing an average annual growth rate of 5.88 % (ranging from 0.45 to 18.56 %) under the sustainable pathway (SSP119) scenario; 5.90 % (ranging from 1.00 to 18.15 %) for the intermediate development pathway (SSP245); and 6.22 % (ranging from 1.16 to 17.74 %) under the rapid economic development pathway (SSP585). Variation in rainfall is identified as the primary driving factor of the increased environmental impacts, whereas its relationship with rising temperatures is not significant. The results suggest adopting farming practices as a vital strategy for smallholder farms to mitigate climate change impacts. Emphasizing appropriate fertilizer application and straw recycling can significantly reduce the environmental footprint of wheat production. Standardized fertilization could reduce the environmental impact index by 11.10 to 47.83 %, while straw recycling might decrease respiratory inorganics and photochemical oxidant formation potential by over 40 %. Combined, these approaches could lower the impact index by 12.31 to 63.38 %. The findings highlight the importance of adopting enhanced farming practices within smallholder farming systems in the context of climate change. SPOTLIGHTS.

Sustainable political commitment is necessary for institutionalizing community participation in health policy-making: Insights from Iran.

BACKGROUND: Community participation is currently utilized as a national strategy to promote public health and mitigate health inequalities across the world. While community participation is acknowledged as a civic right in the Constitution of Iran and other related upstream documents, the government has typically failed in translating, integrating and implementing community participation in health system policy. The present study was conducted to determine the level of public voice consideration within the health policy in Iran and address fundamental interventions required to promote the public voice in the context of Islamic Republic of Iran (IRI). This study has originality because there is no study that addresses the requirements of institutionalizing community participation especially in low-middle-income countries, so Iran's experience can be useful for other countries. METHODS: Methodologically, this study utilized a multi-method and multi-strand sequential research design, including qualitative, comparative and documentary studies. In the first phase, the current level of community participation in the health policy cycle of Iran was identified using the International Association for Public Participation (IAP2) spectrum. In the second phase, a comparative study was designed to identify relevant interventions to promote the community participation level in the selected countries under study. In the third phase, a qualitative study was conducted to address the barriers, facilitators and strategies for improving the level of public participation. Accordingly, appropriate interventions and policy options were recommended. Interventions were reviewed in a policy dialogue with policy-makers and community representatives, and their effectiveness, applicability and practical feasibility were evaluated. RESULTS: Based on the IAP2 spectrum, the level of community participation in the health policy-making process is non-participation, while empowerment is set at the highest level in the upstream documents. Moreover, capacity-building, demand, mobilization of the local population, provision of resources and setting a specific structure were found to be among the key interventions to improve the level of community participation in Iran's health sector. More importantly, "political will for action" was identified as the driving force for implementing the necessary health interventions. CONCLUSIONS: To sum up, a paradigm shift in the governing social, economic and political philosophy; establishing a real-world and moral dialogue and communication between the government and the society; identifying and managing the conflicts of interest in the leading stockholders of the healthcare system; and, more importantly, maintaining a stable political will for action are integral to promote and institutionalize participatory governance in the health sector of Iran. All of the above will lead us to scheme, implement and institutionalize suitable interventions for participatory governance in health and medicine.

Pull me - push you? The disparate financing mechanisms of drug research in global health.

BACKGROUND: There is an inconsistency in the way pharmaceutical research is financed. While pull mechanisms are predominantly used to incentivize later-stage pharmaceutical research for products with demand in the Global North, so-called neglected diseases are chiefly financed by push funding. This discrepancy has so far been ignored in the academic debate, and any compelling explanation for why we draw the line between push and pull at poor people is lacking. MAIN BODY: Clinical development of new pharmaceuticals is chiefly financed by free market pull mechanisms. Even in cases where markets fail to deliver adequate incentives, demand enhancement mechanisms are used to replicate pull funding artificially, for example, with subscription models for antibiotics. Push funding in clinical research is almost always used when the poverty of patients means that markets fail to create sufficient demand. The general question of whether push or pull generally is the more efficient way to conduct pharmaceutical research arises. CONCLUSIONS: If the state is efficient in directing limited budgets for pharmaceutical research, push funding should be expanded to global diseases. If private industry is the more efficient actor, there would be enormous value in experimenting more aggressively with different approaches to enhance market demand artificially for neglected diseases.