How much is invested in obesity prevention in Australia? An analysis of major research and Federal Government funding, 2013-2022.

Objective and importance of study: Overweight and obesity are the second leading risk factors for death and non-communicable disease in Australia. This study aimed to examine the Australian Federal Government funding landscape for population-level obesity prevention from 2013 to 2022. STUDY TYPE: A retrospective analysis and narrative synthesis of publicly available data on obesity prevention funding from the Federal Government and major federally funded Australian research organisations. METHODS: Searches were conducted of Australian Federal Government Budget documents and funding announcements from the National Health and Medical Research Council (NHMRC), Australian Research Council (ARC) and Medical Research Future Fund (MRFF). Funding allocations targeting obesity prevention, or the prevention of risk factors associated with obesity, were included. These were determined by the presence of keywords related to obesity, unhealthy diet, physical activity and sedentary behaviour. Data were extracted verbatim, coded and narratively synthesised by funding source. RESULTS: From 2013 to 2022, 186 funding allocations for obesity prevention in Australia were identified, totalling approximately A$778 million. The proportion of funding allocated to obesity prevention compared to the total annual budget of each funding source was relatively low: NHMRC = 1.1%; ARC = 0.2%; MRFF = 0.8%; Federal Government = 0.1% (of health budget). Funding for obesity prevention initiatives fluctuated over time. CONCLUSIONS: Findings underscore the need for strategic and ongoing funding allocation to support obesity prevention research, implementation and sustainment of evidence-based obesity prevention initiatives in Australia.

Diversity of returnee executives' foreign experience and corporate social responsibility performance.

Top managers' past experiences (e.g., foreign experience) significantly impact their decision-making behavior, which may influence firms' sustainable development. The available literature, focusing on the role of the increase in the number of top executives with foreign experience in corporate social responsibility (CSR), yields mixed results. In order to clarify the ambiguous relationship between executive foreign experience and CSR, we empirically examine the effect of the geographic diversity of top executives' foreign experience on CSR. Based on a hand-collected dataset of the top management team's (TMT's) foreign experience, we demonstrate the positive impact of the geographic diversity of returnee executives' foreign experience on firms' CSR using Chinese A-share listed firms from 2009 to 2018. Moreover, this impact is stronger in firms with political connections with the central government and in regions with good market development. Furthermore, the mechanism analysis shows that returnee executives drive firms' CSR by promoting corporate donations and green innovation. This paper offers clear policy implications by suggesting that hiring returnees with a broad geographic scope of foreign experience as corporate executives is an efficient way to enhance firms' CSR.

How Should Resources From National Stockpiles Be Managed?

The Strategic National Stockpile (SNS) is a national system maintained by the US federal government to deliver medical supplies during emergencies. In the past, the SNS has been used to mitigate public health consequences of tragedies, such as Hurricane Katrina and Ebola outbreaks. However, challenges in maintaining and utilizing the SNS for patient safety are prevalent. This article canvasses ways in which the SNS is accessed and suggests needed changes in the wake of the COVID-19 pandemic.

Mapping Ethical Artificial Intelligence Policy Landscape: A Mixed Method Analysis.

As more national governments adopt policies addressing the ethical implications of artificial intelligence, a comparative analysis of policy documents on these topics can provide valuable insights into emerging concerns and areas of shared importance. This study critically examines 57 policy documents pertaining to ethical AI originating from 24 distinct countries, employing a combination of computational text mining methods and qualitative content analysis. The primary objective is to methodically identify common themes throughout these policy documents and perform a comparative analysis of the ways in which various governments give priority to crucial matters. A total of nineteen topics were initially retrieved. Through an iterative coding process, six overarching themes were identified: principles, the protection of personal data, governmental roles and responsibilities, procedural guidelines, governance and monitoring mechanisms, and epistemological considerations. Furthermore, the research revealed 31 ethical dilemmas pertaining to AI that had been overlooked previously but are now emerging. These dilemmas have been referred to in different extents throughout the policy documents. This research makes a scholarly contribution to the expanding field of technology policy formulations at the national level by analyzing similarities and differences among countries. Furthermore, this analysis has practical ramifications for policymakers who are attempting to comprehend prevailing trends and potentially neglected domains that demand focus in the ever-evolving field of artificial intelligence.

Democratizing social scientists' impact on federal policy: Using the evidence act to help government and ourselves.

It is common for social scientists to discuss the implications of our research for policy. However, what actions can we take to inform policy in more immediate and impactful ways, regardless of our existing institutional affiliations or personal connections? Focusing on federal policy, I suggest that the answer requires understanding a basic coordination problem. On the government side, the Foundations of Evidence-based Policymaking Act (2018) requires that large federal agencies pose, communicate, and answer research questions related to their effects on people and communities. This advancement has opened the black box of federal agency policy priorities, but it has not addressed capacity challenges: These agencies often do not have the financial resources or staff to answer the research questions they pose. On the higher education side, we have more than 150,000 academic social scientists who are knowledge producers and educators by training and vocation. However, especially among those in disciplinary departments, or those without existing institutional or personal connections to federal agencies, we often feel locked out of federal policymaking processes. In this article, I define the coordination problem and offer concrete actions that the academic and federal government communities can take to address it. I also offer leading examples of how academics and universities are making public policy impact possible in multiple governmental spheres. I conclude by arguing that both higher education institutions and all levels of government can do more to help academic social scientists put our knowledge to work in service of the public good.

Fuzzy cognitive maps for municipal governance improvement.

This paper applies Fuzzy Cognitive Maps (FCMs) to understand the diverse behavior of municipal governments in Ecuador to find common elements that influence the well-being of citizens in the short and long term. Information gathering was conducted in two stages: in the first one, a group of 16 national experts was consulted to develop the initial FCM; in the second stage, local experts from 220 municipalities were interviewed to collect information on the general validity of initial FCMs and specific values given to concepts and relationships in their municipalities. Results show the importance of certain concepts for long-term municipal performance, such as the need for a competitive entrepreneurial sector, improving human resources in the municipality, and, particularly, having a competent mayor with leadership skills and a forward-looking vision that enables the development of municipal projects required to reach an efficient and equitable coverage of goods and services throughout the city. Through the application of genetic algorithms, the FCM was calibrated to ascertain the long-term dynamics of municipal development and the optimal values of the concepts that would optimize the attainment of the set objectives. The derived outcomes suggest the desirability of the maintenance of, in principle, unwanted structures like financial transfers from the central government and the need to exploit natural resources to attain urban development.

Knowledge, Accessibility and Utilization of the National Health Insurance Scheme (NHIS) Among Registered Employees of Federal Government Institutions in Ebonyi State: Lessons for Medical Social Workers.

Like most low-and-middle-income countries, Nigeria has been finding it difficult to meet the basic needs of her populace including their health needs. Nigerians are dying of preventable diseases because of poverty and the lack of a functional healthcare system. As a result, the Nigerian government introduced the National Health Insurance Scheme (NHIS) to cater to the health needs of its population. This study assessed the knowledge, accessibility and utilization of the NHIS among registered employees of federal government institutions in Ebonyi state. The study used Focus Group Discussions (FGDs) and in-depth interviews (IDIs) to collect data from 43 participants. The collected data was analyzed using thematic analysis. Findings revealed that most of the participants have accessed and utilized the scheme and saw it as a good healthcare system. They also reported a lack of most of the prescribed drugs and inadequate personnel at the NHIS clinics which is impacting the effectiveness of the scheme. The paper recommends that NHIS should create more awareness about the scheme, and cover more dependents, drugs, tests, and treatment bills to make it more effective in healthcare delivery.

Regulations and Funding to Create Enterprise Architecture for a Nationwide Health Data Ecosystem.

The COVID-19 pandemic highlighted the United States' lack of a nationwide infrastructure for collecting, sharing, and using health data, especially for secondary uses (e.g., population health management and public health). The federal government is taking several important steps to upgrade the nation's health data ecosystem-notably, the Centers for Disease Control and Prevention's Data Modernization Initiative and the Office of the National Coordinator for Health Information Technology's Trusted Exchange Framework and Common Agreement. However, substantial barriers remain. Inconsistent regulations, infrastructure, and governance across federal and state levels and between states significantly impede the exchange and analysis of health data. Siloed systems and insufficient funding block effective integration of clinical, public health, and social determinants data within and between states. In this analytic essay, we propose strategies to develop a nationwide health data ecosystem. We focus on providing federal guidance and incentives to develop state-designated entities responsible for the collection, integration, and analysis of clinical, public health, social determinants of health, claims, administrative, and other relevant data. These recommendations include a regulatory clearinghouse, federal guidance, model legislation and templated regulation, funding to incentive enterprise architecture, regulatory sandboxes, and a 3-pronged research agenda. (Am J Public Health. 2024;114(2):209-217. https://doi.org/10.2105/AJPH.2023.307477).

Federal government budgetary and financial resources for body practices and physical activities in the Unified Health System: analysis of the 2019-2022 governmental cycle. / Recursos da União para as práticas corporais e atividades físicas no SUS: análise do ciclo governamental 2019-2022.

Through quantitative exploratory research, the present study analyzed the amount foreseen in the Federal Budget and the amounts paid (nominal and deflated) for programs and actions to promote body practices and physical activities (Health Academy Program and the Federal Incentive for Physical Activity in Primary Health Care) from 2019 to 2022. The values of investment in body practices and physical activities in SUS per capita, according to the population covered by Primary Health Care (PHC) and per participant in public programs, were also calculated. The following was found: (1) that the resources that were actually paid were 3.31% to 15.06% lower than those approved in the budget (nominal) and (2) the low annual (maximum) values found, regardless of whether nominal or deflated - per capita (R$ 0.21 to 0.30) per population covered by PHC (R$ 0.25 to 0.40) and per participant (R$ 10.61 to 14.61). It was concluded that the low investment in the promotion of body practices and physical activities decreases access and does not contribute to the full functioning of SUS by preventing or hindering the expansion of possibilities of comprehensive health care.

Por meio de pesquisa quantitativa de caráter exploratório, o presente estudo teve o objetivo de analisar o orçamento e o financiamento federal de programas e ações de promoção das práticas corporais e atividades físicas no Sistema Único de Saúde (SUS) de 2019 a 2022 (Programa Academia da Saúde e o Incentivo Federal de Custeio da Atividade Física na Atenção Primária). Foram analisados e calculados os valores per capita, pela população coberta pela atenção primária e por participante de programas públicos. Os recursos efetivamente pagos foram de 3,31% a 15,06% menores dos que os aprovados no orçamento (nominal), e também foram identificados os baixos valores (máximos) anuais, independentemente se nominal ou deflacionado per capita (R$ 0,21 a 0,30) por população coberta pela atenção primária (R$ 0,25 a 0,40) e por participante (R$ 10,61 a 14,61). Concluiu-se que o baixo investimento na promoção das práticas corporais e atividades físicas diminui o acesso e não contribui para o pleno funcionamento do SUS ao impedir ou dificultar a ampliação de possibilidades do cuidado integral em saúde.

Progressive Massive Fibrosis Identified at Federally Funded Black Lung Clinics in the US.

This study of US Black Lung Clinics (established to treat coal miners) reports the prevalence of progressive massive fibrosis identified through June 2023.

President Biden's Executive Order on Artificial Intelligence-Implications for Health Care Organizations.

This Viewpoint discusses a recent executive order by US President Joe Biden about the development and implementation of AI, including the role of government vs the private sector and how the order may affect health care.

Social determinants of health as a framework to identify and assess cross-sector funding opportunities.

OBJECTIVE: To present a content analysis and method for applying a social determinants of health (SDOH) analytical framework to legislation. DATA SOURCES AND STUDY SETTING: Secondary data include 215 sections of the American Rescue Plan Act of 2021 (ARPA) and related information from federal government websites (e.g., press releases, notices of funding announcements, and funding tables). STUDY DESIGN: Researchers conducted a qualitative content analysis of legislative text, recording all sections, appropriations, allocations, and administrators. Using an SDOH analytical framework defined by Healthy People 2030, researchers coded each section, appropriation, and allocation within the legislation. DATA COLLECTION/EXTRACTION METHODS: Researchers reviewed all ARPA sections, appropriations, and allocations separately, resulting in 328 entries. Descriptive characteristics were calculated using Tableau and Microsoft Excel. Researchers coded each appropriation or allocation using definitions and key words presented in the SDOH analytical framework. PRINCIPAL FINDINGS: Applying an SDOH analytical framework to the legislation's funding amounts reveals an overlap of investment opportunities that cross-sector initiatives can leverage. This overlap is seen primarily in two ways: (1) specific allocations and appropriations that can be used to meet multiple SDOH goals and (2) federal administrators receiving money that can be categorized according to multiple SDOHs. For example, approximately 99% of tracked ARPA funds can be used to support one or more SDOHs. Thirty-five appropriations or allocations can support programs categorized for more than one SDOH category. Eight departments received funds that could be designated for two or more SDOHs. All five SDOH categories can potentially receive funding from 3 to 11 federal administrators. CONCLUSIONS: Using an SDOH analytical framework is an innovative approach to conceptualizing and synthesizing the contents of complex legislation. This approach demonstrates funding patterns across SDOH that can encourage cross-sector collaborations. Future content analysis of legislation can employ this SDOH framework to demonstrate cross-sector initiative funding opportunities.

"Rectal Feeding"-Unethical Medical Officer Participation at CIA Secret Interrogation Facilities.

This Viewpoint discusses recently released information regarding the practice of "rectal feeding" among detainees at Guantanamo Bay and Central Intelligence Agency (CIA) secret prisons.