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.

A global comparative study on the impact of COVID-19 policy on atmospheric nitrogen dioxide (NO2): Evidence from remote sensing data in 2019-2022.

A significant body of research has documented the profound changes in global atmospheric conditions during the COVID-19 pandemic. However, there is still an inadequate comprehensive comparison and assessment of countries before, during, and after the pandemic. Variations in restriction policies, human behaviors, and national traits lead to significant differences in how restriction policies affect atmospheric pollution. This study focuses on NO2, a pollutant with high temporal sensitivity, and utilizes the Oxford COVID-19 policy stringency index along with demographic information. Through spatial-temporal mapping, we analyzed NO2 emission fluctuations and calculated the emission changes in each country. Drawing from this analysis, we explored the relationships among these factors and found that over the span of 2019-2022, across 193 countries, global NO2 emissions displayed a distinct trajectory: initially decreasing, subsequently rebounding, and eventually fluctuating. Most countries exhibited seasonal variations in NO2 emissions. Additionally, the study uncovered a correlation between the stringency of COVID-19 policies and the reduction in NO2 emissions: as policies became stricter, emissions significantly decreased in most countries. In contrast, in countries with lower population densities, stricter policies paradoxically led to an increase in emissions. These findings underscore the importance of considering demographic factors and geographical context in the formulation and implementation of environmental policies.

Policy analysis of the protection of Iranian households against catastrophic health expenditures: a qualitative analysis.

BACKGROUND: Despite the adoption of various policies and strategies in recent decades, the Iranian health system has not succeeded in protecting households against catastrophic health expenditures (CHE) and impoverishment. Accordingly, this qualitative study aimed to critically analyze current policies for reducing CHE. METHODS: This qualitative study was conducted as a retrospective policy analysis based on a document review and semi-structured interviews with key informants between July to October 2022. Two theoretical frameworks were used, including the Analysis of Determinants of Policy Impact (ADEPT) model and Walt and Gilson's "Policy Triangle framework." The country's related documents were searched through databases. In total, 35 participants were interviewed. Interviews and documents were analyzed using directed content analysis in MAXQDA v12 software. Interobserver reliability, peer check, and member check were done to confirm the trustworthiness of the data. RESULTS: Twelve main themes and 42 sub-themes emerged from the data. The findings revealed that policy accessibility, policy background, and a clear statement of goals influenced the policy process. However, resources, monitoring and evaluation, opportunities, and obligations negatively affected the implementation process. In addition, a policy analysis based on the policy triangle framework demonstrated that the main factors affecting the policy on reducing CHE in Iran were "conflicts of interest," "contextual factors," "monitoring and evaluation," and "intersectoral relationship" factors. CONCLUSION: The present study reflected the multifaceted nature of the barriers to reducing CHE in Iran. The implementation of the policy on reducing CHE requires the political will to improve intersectoral collaboration, strengthen the stewardship role of the Ministry of Health, design monitoring and evaluation mechanisms, and prevent personal and organizational conflicts of interest.

Maternal health care policy intervention and its impact on perinatal mortality outcomes in Ghana: evidence from a quasi-experimental design.

OBJECTIVE: This study aimed to evaluate the impact of Ghana's free maternal health care policy on stillbirth and perinatal death since its implementation a decade ago. STUDY DESIGN: The study used the propensity score matching method, a quasi-experimental design technique and secondary data to construct two groups of mothers with a history of perinatal deaths who subscribed to the 'free' maternal health care policy versus mothers who did not. METHOD: The study merged two rounds of repeated cross-sectional data sets obtained from the Ghana Demographic and Health Survey (GDHS), 2008 and 2014, and generated exposure variables; pregnant women policy holding status and outcome variables; stillbirth and perinatal death by constructing binary outcomes from the under-five mortality variables of the DHS data sets. Fetal and early neonatal deaths within the data set were categorized into two groups: those exposed to the free maternal health care policy and those who did not. The propensity scores of the two groups were then generated and analyzed after checking for bias and common support. The analysis applied sample weighting to account for clustering and stratification due to the complex design of the DHS. All analyses were done with STATA 15 and adjusted for confounding using independent covariates. RESULTS: Stillbirth (43.3%) and perinatal death (60.2%) were high in the intervention group compared to the comparison group, and the differences were statistically significant (stillbirth, 0.0156, and perinatal death, 0.0012). Stillbirth and perinatal deaths were 12 and 13 percentage points higher in the intervention group, and these were statistically significant: adj. coef. = 0.12; 95% CI: [0.03-0.19]; P = 0.005 and adj. coef. = 0.13; 95% CI: [0.03-0.22]; P = 0.005. CONCLUSION: The results show that stillbirth and perinatal death were high in the maternal health care policy group, poorly reflecting as outcomes. However, the percentage point difference between stillbirth and perinatal death suggests a decline in early neonatal mortality and a positive impact of the 'free' maternal health care policy on perinatal death over stillbirth.

Uptake of hepatitis B antiviral treatment: A panel data analysis of 31 provinces in China (2013-2020).

BACKGROUND: China has made substantial efforts aimed to promote the uptake of antiviral treatment of hepatitis B (HB). It is unclear whether these policies achieved the desired impact. This study adopted medicines procurement data from 31 provinces to generate the first evidence about the number of standard antiviral treatment of HB overtime at both national and provincial levels in China. METHODS: We performed the panel data analyses and quasi-experimental design with the time-varying difference-in-difference method combined with the event study approach to estimate the uptake of HB antiviral treatment before and after national policy changes. RESULTS: The overall trends in HB antiviral treatment at the national level increased incrementally during 2013-2020. There was 2.8862 million 12-month (person-year) antiviral standard treatment in 2020, which was only 8.93% of the eligible people estimated to need treatment. The number of monthly antiviral standard treatment increased by 42.4% (p = .001) overall following the nationwide adoption of the '4 + 7' pilot-pooled procurement prices in 2019, which brought substantial price reduction of core antivirals. CONCLUSIONS: A low treatment rate is a critical issue in reaching the elimination of viral hepatitis as a public health threat in China. Affordability is an important but not the only factor that determines the uptake of hepatitis treatment. Further scaling up and acceleration of treatment uptake will need strategies improving public awareness of HB, strengthening diagnosis, linking people who are infected to chronic care, reducing loss to follow-up, and ensuring people who are eligible get timely treatment.

Climate change research in Asia: A knowledge synthesis of Asia-Pacific Network for Global Change Research (2013-2018).

Countering climate challenges requires genuine multi-layered approaches in cooperation with various stakeholders. Spanning 20 years, the Asia-Pacific Network for Global Change Research (APN) has been facilitating the research community to provide regional and grassroots results and solutions, while acting as a mechanism to encourage science-policy-stakeholder dialogue. This paper outlines the relevance of APN projects to IPCC policymaking by laying out knowledge products and lessons learned from the projects. It also narrates how regional research and capacity building assist in responding to the increasing urgency across climate change and the SDGs. A synthesis of project-generated knowledge was garnered from research and capacity development studies conducted under the auspices of APN to identify their scope and level of policy relevance. A combined typology and solution scanning with Likert scale as relevance rating was employed to categorize contribution against key themes of the IPCC sixth assessment report. Findings suggest 115 distinct and relevant projects completed mostly in Southeast Asia, South Asia and Temperate East Asia, with many of them asserting community-based adaptation and mitigation surrounding issues on ecosystems and biodiversity, extreme weather events, water-food-energy nexus, sustainable waste management, and climate education. Findings also show 163 knowledge products in which majority of them (66.87%) were peer-reviewed journal articles, 11.04% were reports, 7.98% were policy briefs, 6.75% were guidelines and tools, 4.91% were books and 2.45% were perspectives and opinions. With the evolving synergies between global climate targets and the SDGs, it is recommended that APN solidify its role in science-policy partnerships and networking by creating improved interlinkages for disseminating knowledge gaps filled and in replicating lessons learned and best practices found in APN knowledge products. In addition to science-policy dialogues and output synthesis, a regular review of APN research and capacity development outcomes will help in realizing these important aspects toward wider policy impact.

Environmental impacts of household appliances in Europe and scenarios for their impact reduction.

Assessing the environmental impact due to consumption of goods and services is a pivotal step towards achieving the sustainable development goal related to responsible production and consumption (i.e. SDG 12). Household appliances plays a crucial role and should be assessed in a systemic manner, namely considering all life cycle stages, technological efficiency, and affluence aspects. The present study assess the impact of such household appliances used in Europe, and tests scenarios of potential impact reduction at various scales. Life cycle assessment is applied to 14 different household appliances (ranging from dishwashers to television devices) selected to build a set of representative products, based on their economic value and diffusion in households in Europe. Related impacts are calculated with the Environmental Footprint method for calculating a Consumer Footprint "appliances" for the baseline year 2010. A number of scenarios encompassing eco-solutions on a technical level, changes in consumption pattern, behavioral changes, as well as the combination of all these aspects are run to estimate the Consumer Footprint related to household appliances for the year 2030, compared against this baseline scenario. The baseline Consumer Footprint is confirming the importance of the use phase in leading the impacts in almost all impact categories. Testing different scenarios concludes that there is a reduction of the impact for most of the categories (with up to 67% for the ozone depletion potential, and still around 35% for the global warming potential), while two of the here examined impact categories (i.e. land-use and mineral resource depletion) show an overall potential that is even negative - i.e. the results of all scenarios are higher than the ones of the 2010 baseline scenario. The increase in purchase and use of such appliances may offset energy efficiency benefits in some of the examined categories. Hence, the assessment of sustainability of appliances consumption should always include several scales, from the efficiency of the products (micro scale), to the improvement of the energy mix (meso scale), up to accounting for socio-economic drivers and patterns of consumption affecting the overall appliances stock (macro scale).

Assessing the policy and practice impact of an international policy initiative: the State of the World's Midwifery 2014.

BACKGROUND: Understanding how policies lead to changes in health systems and in practice helps policymakers and researchers to intervene more successfully. Yet identifying all the possible changes that occur as a result of a new policy is challenging not only methodologically and logistically, as limited resources are available to conduct indefinite evaluations, but also theoretically, as a complete mapping and attribution of post-hoc changes requires a full understanding of the mechanisms underpinning all change. One option is to identify possible changes across a number of policy impact domains. METHODS: Using a Policy Impact Framework, we brought together data from media, documents and interviews to identify changes to midwifery policy, practice and provision, following the launch of a new global policy initiative, the State of the World's Midwifery (SoWMy 2014) report published in 2014. We used these identified impacts to develop a map of the mechanisms underpinning these changes. RESULTS: SoWMy 2014 contributed to a number of changes at national levels, including increased status of midwifery within national governments, improved curricula and training opportunities for midwives, and improved provision of and access to midwifery-led care. These contributions were attributed to SoWMy 2014 via mechanisms such as stakeholder interaction and acquisition of government support, holding national and international dissemination and training events, and a perceived global momentum around supporting midwifery provision. Policy initiatives of this kind can lead to changes in national and international policy dialogue and practice. We identify factors and mechanisms that are likely to increase the scope and scale of these changes, at contextual, national and global levels. CONCLUSIONS: Identifying changes following a policy using a policy impact framework can help researchers and policymakers understand why policies have the effect they do. This is important information for those wishing to increase the effectiveness of future policies and interventions.

Looking both ways: a review of methods for assessing research impacts on policy and the policy utilisation of research.

BACKGROUND: Measuring the policy and practice impacts of research is becoming increasingly important. Policy impacts can be measured from two directions - tracing forward from research and tracing backwards from a policy outcome. In this review, we compare these approaches and document the characteristics of studies assessing research impacts on policy and the policy utilisation of research. METHODS: Keyword searches of electronic databases were conducted in December 2016. Included studies were published between 1995 and 2016 in English and reported methods and findings of studies measuring policy impacts of specified health research, or research use in relation to a specified health policy outcome, and reviews reporting methods of research impact assessment. Using an iterative data extraction process, we developed a framework to define the key elements of empirical studies (assessment reason, assessment direction, assessment starting point, unit of analysis, assessment methods, assessment endpoint and outcomes assessed) and then documented the characteristics of included empirical studies according to this framework. RESULTS: We identified 144 empirical studies and 19 literature reviews. Empirical studies were derived from two parallel streams of research of equal size, which we termed 'research impact assessments' and 'research use assessments'. Both streams provided insights about the influence of research on policy and utilised similar assessment methods, but approached measurement from opposite directions. Research impact assessments predominantly utilised forward tracing approaches while the converse was true for research use assessments. Within each stream, assessments focussed on narrow or broader research/policy units of analysis as the starting point for assessment, each with associated strengths and limitations. The two streams differed in terms of their relative focus on the contributions made by specific research (research impact assessments) versus research more generally (research use assessments) and the emphasis placed on research and the activities of researchers in comparison to other factors and actors as influencers of change. CONCLUSIONS: The Framework presented in this paper provides a mechanism for comparing studies within this broad field of research enquiry. Forward and backward tracing approaches, and their different ways of 'looking', tell a different story of research-based policy change. Combining approaches may provide the best way forward in terms of linking outcomes to specific research, as well as providing a realistic picture of research influence.

A systematic review of frameworks for the interrelationships of mental health evidence and policy in low- and middle-income countries.

BACKGROUND: The interrelationships between research evidence and policy-making are complex. Different theoretical frameworks exist to explain general evidence-policy interactions. One largely unexplored element of these interrelationships is how evidence interrelates with, and influences, policy/political agenda-setting. This review aims to identify the elements and processes of theories, frameworks and models on interrelationships of research evidence and health policy-making, with a focus on actionability and agenda-setting in the context of mental health in low- and middle-income countries (LMICs). METHODS: A systematic review of theories was conducted based on the BeHeMOTh search method, using a tested and refined search strategy. Nine electronic databases and other relevant sources were searched for peer-reviewed and grey literature. Two reviewers screened the abstracts, reviewed full-text articles, extracted data and performed quality assessments. Analysis was based on a thematic analysis. The included papers had to present an actionable theoretical framework/model on evidence and policy interrelationships, such as knowledge translation or evidence-based policy, specifically target the agenda-setting process, focus on mental health, be from LMICs and published in English. RESULTS: From 236 publications included in the full text analysis, no studies fully complied with our inclusion criteria. Widening the focus by leaving out 'agenda-setting', we included ten studies, four of which had unique conceptual frameworks focusing on mental health and LMICs but not agenda-setting. The four analysed frameworks confirmed research gaps from LMICs and mental health, and a lack of focus on agenda-setting. Frameworks and models from other health and policy areas provide interesting conceptual approaches and lessons with regards to agenda-setting. CONCLUSION: Our systematic review identified frameworks on evidence and policy interrelations that differ in their elements and processes. No framework fulfilled all inclusion criteria. Four actionable frameworks are applicable to mental health and LMICs, but none specifically target agenda-setting. We have identified agenda-setting as a research theory gap in the context of mental health knowledge translation in LMICs. Frameworks from other health/policy areas could offer lessons on agenda-setting and new approaches for creating policy impact for mental health and to tackle the translational gap in LMICs.

Assessing the impact of health research on health policies: a study of the Dodowa Health Research Centre, Ghana.

BACKGROUND: The importance of assessing research impact is increasingly recognised. Ghana has a long tradition of research dating from the 1970s. In the Ghana Health Service there are three health research centres under the Research and Development Division. Dodowa Health Research Centre (DHRC) is the youngest in the country dating from the 1990s. The objective of this study is to analyse the influence of the research conducted in DHRC on national and local health policies. METHODS: The study used the Research Impact Framework. Six projects were selected based on a set of criteria. Thirteen interviews were conducted with researchers and policy makers using a semi-structured interview guide. RESULTS: DHRC had numerous policy impacts in terms of researchers participating in policy networks, increasing political capital and influencing policy documents. Factors identified to be associated with policy impact included collaboration with policy makers at the design stage, addressing health priorities, and communicating results mainly through the participation in annual review meetings. CONCLUSIONS: DHRC was successful in influencing health policies. Recommendations were made that could be included in the DHRC strategic planning to improve the research process and its policy impact.

How do we define the policy impact of public health research? A systematic review.

BACKGROUND: In order to understand and measure the policy impact of research we need a definition of research impact that is suited to the task. This article systematically reviewed both peer-reviewed and grey literature for definitions of research impact to develop a definition of research impact that can be used to investigate how public health research influences policy. METHOD: Keyword searches of the electronic databases Web of Science, ProQuest, PubMed, EMBASE, CINAHL, Informit, PsycINFO, The Cochrane Database of Systematic Reviews and Google Scholar were conducted between August 2015 and April 2016. Keywords included 'definition' and 'policy' and 'research impact' or 'research evidence'. The search terms 'health', public health' or 'mental health' and 'knowledge transfer' or 'research translation' were used to focus the search on relevant health discipline approaches. Studies included in the review described processes, theories or frameworks associated with public health, health services or mental health policy. RESULTS: We identified 108 definitions in 83 publications. The key findings were that literature on research impact is growing, but only 23% of peer-reviewed publications on the topic explicitly defined the term and that the majority (76%) of definitions were derived from research organisations and funding institutions. We identified four main types of definition, namely (1) definitions that conceptualise research impacts in terms of positive changes or effects that evidence can bring about when transferred into policies (example Research Excellence Framework definition), (2) definitions that interpret research impacts as measurable outcomes (Research Councils UK), and (3) bibliometric and (4) use-based definitions. We identified four constructs underpinning these definitions that related to concepts of contribution, change, avenues and levels of impact. CONCLUSION: The dominance of bureaucratic definitions, the tendency to discuss but not define the concept of research impact, and the heterogeneity of definitions confirm the need for conceptual clarity in this area. We propose a working definition of research impact that can be used in a range of health policy contexts.

The impact on healthcare, policy and practice from 36 multi-project research programmes: findings from two reviews.

BACKGROUND: We sought to analyse the impacts found, and the methods used, in a series of assessments of programmes and portfolios of health research consisting of multiple projects. METHODS: We analysed a sample of 36 impact studies of multi-project research programmes, selected from a wider sample of impact studies included in two narrative systematic reviews published in 2007 and 2016. We included impact studies in which the individual projects in a programme had been assessed for wider impact, especially on policy or practice, and where findings had been described in such a way that allowed them to be collated and compared. RESULTS: Included programmes were highly diverse in terms of location (11 different countries plus two multi-country ones), number of component projects (8 to 178), nature of the programme, research field, mode of funding, time between completion and impact assessment, methods used to assess impact, and level of impact identified. Thirty-one studies reported on policy impact, 17 on clinician behaviour or informing clinical practice, three on a combined category such as policy and clinician impact, and 12 on wider elements of impact (health gain, patient benefit, improved care or other benefits to the healthcare system). In those multi-programme projects that assessed the respective categories, the percentage of projects that reported some impact was policy 35% (range 5-100%), practice 32% (10-69%), combined category 64% (60-67%), and health gain/health services 27% (6-48%). Variations in levels of impact achieved partly reflected differences in the types of programme, levels of collaboration with users, and methods and timing of impact assessment. Most commonly, principal investigators were surveyed; some studies involved desk research and some interviews with investigators and/or stakeholders. Most studies used a conceptual framework such as the Payback Framework. One study attempted to assess the monetary value of a research programme's health gain. CONCLUSION: The widespread impact reported for some multi-project programmes, including needs-led and collaborative ones, could potentially be used to promote further research funding. Moves towards greater standardisation of assessment methods could address existing inconsistencies and better inform strategic decisions about research investment; however, unresolved issues about such moves remain.

Early Impacts of Marijuana Legalization: An Evaluation of Prices in Colorado and Washington.

Following the legalization and regulation of marijuana for recreational purposes in states with medical markets, policymakers and researchers seek empirical evidence on how, and how fast, supply and demand changed over time. Prices are an indication of how suppliers and consumers respond to policy changes, so this study uses a difference-in-difference approach to exploit the timing of policy implementation and identify the impacts on marijuana prices 4-5 months after markets opened. This study uses unique longitudinal survey data of prices paid by consumers and a web-scraped dataset of dispensary prices advertised online for three U.S. medical marijuana states that all eventually legalized recreational marijuana. Results indicate there were no impacts on the prices paid for medical or recreational marijuana by state-representative residents within the short 4- to 5-months window following legalization. However, there were differences in how much people paid if they obtained marijuana for recreational purposes from a recreational store. Further analysis of advertised prices confirms this result, but further demonstrates heterogeneous responses in prices across types of commonly advertised strains; prices either did not change or increased depending on the strain type. A key implication of our findings is that there are both supply and demand responses at work in the opening of legalized markets, suggesting that evaluations of immediate effects may not accurately reflect the long run impact of legalization on consumption.

From ignorance to evidence? The use of programme evaluation in conservation: Evidence from a Delphi survey of conservation experts.

Persistent gaps in the evidence base regarding the performance of conservation policies has put pressure on the conservation policy field to adopt 'best practice' programme evaluation methods. These are methods that account for the counterfactual and are able to attribute causality between a conservation policy and specific observable environmental and social impacts. Despite this pressure, use of such methods continues to be rare. This paper uses the Delphi technique to provide the first systematic assessment of the reasons behind the apparent hesitation of conservation practitioners to adopt rigorous policy impact evaluation methods. The Delphi study consisted of two online questionnaires conducted on conservation policy experts. The results presented confirm that the use of rigorous impact evaluation methods in conservation is still very limited but this, crucially, is not because conservationists are ignorant of these methods or their advantages. In fact, considerable effort is being made to develop and improve evidence standards but these efforts have largely been thwarted by large financial and time related constraints that mean even elementary evaluations are hard to achieve. The results from this Delphi study allow us to provide more realistic recommendations on how impact evaluation studies can be more widely embraced and implemented in conservation practice.

Hidden hazards behind coal cleaning technology: Unintended health deteriorations amid China's air quality improvements.

The "Air Pollution Prevention and Control Action Plan" was implemented by the Chinese government in 2013 to promote the adoption of clean coal technology, successfully led to a significant enhancement in air quality. However, it may have inadvertently shifted pollution from the downstream to the upstream stages of the coal life cycle, leading to unobserved adverse environmental impacts due to the improper treatment of coal-washing wastewater. Consequently, residents in China's coal-production areas may be vulnerable to notable health risks due to intensified coal-washing activities. This study is the first empirical analysis that utilizes real-world microdata, employing a difference-in-differences model to uncover a significant decline in children's health in China's largest coal-production area. It found increases of 7.2 % and 6.3 % in the frequency and probability of hospital visits, respectively. In rural areas, there were increases of 9.5 % and 7.7 %, respectively. Furthermore, in rural areas where people prefer sons over daughters, the observed effects for girls were significantly higher, at 11.8 % and 13 %, respectively. These results indicate that the rapid expansion of clean coal technology could have considerable adverse effects on public health, highlighting the critical need for meticulous management and supervision of related technologies to effectively mitigate potential health risks.

A dual analysis of bougie and stylet development trend and impact of Chinese regulations on medical devices innovation.

Medical device research and development are characterized by high costs, extended timelines, inherent risks, and the necessity for interdisciplinary knowledge and skills. It is significantly influenced by policies, making the understanding of medical device innovation both important and challenging. This paper takes a dual approach to analyze medical device innovation. We reviewed representative clinical product of bougie and stylet and summarized the common characteristics and trend of these product. Innovations in these products often involve adding depth markings, replacing material and design structure, enhancing visualization, deciding between reusable or disposable designs, and integrating multi-functional features. This underscores the delicate balance between technological advancements and medical costs for widespread clinical applicability. We explored the guiding role of policy in medical device innovation, emphasizing its impact through an analysis of medical device regulations and policies in China. By offering insights from the perspectives of medical device companies and regulators, this paper aims to elucidate the critical aspects of medical device innovation, assisting researchers in mitigating risks during product development.

The impact of the European Union emissions trading system on carbon dioxide emissions: a matrix completion analysis.

Despite the negative externalities on the environment and human health, today's economies still produce excessive carbon dioxide emissions. As a result, governments are trying to shift production and consumption to more sustainable models that reduce the environmental impact of carbon dioxide emissions. The European Union, in particular, has implemented an innovative policy to reduce carbon dioxide emissions by creating a market for emission rights, the emissions trading system. The objective of this paper is to perform a counterfactual analysis to measure the impact of the emissions trading system on the reduction of carbon dioxide emissions. For this purpose, a recently-developed statistical machine learning method called matrix completion with fixed effects estimation is used and compared to traditional econometric techniques. We apply matrix completion with fixed effects estimation to the prediction of missing counterfactual entries of a carbon dioxide emissions matrix whose elements (indexed row-wise by country and column-wise by year) represent emissions without the emissions trading system for country-year pairs. The results obtained, confirmed by robust diagnostic tests, show a significant effect of the emissions trading system on the reduction of carbon dioxide emissions: the majority of European Union countries included in our analysis reduced their total carbon dioxide emissions (associated with selected industries) by about 15.4% during the emissions trading system treatment period 2005-2020, compared to the total carbon dioxide emissions (associated with the same industries) that would have been achieved in the absence of the emissions trading system policy. Finally, several managerial/practical implications of the study are discussed, together with its possible extensions.

The international Family Affluence Scale (FAS): Charting 25 years of indicator development, evidence produced, and policy impact on adolescent health inequalities.

In the absence of suitable indicators of adolescent socioeconomic status, the Family Affluence Scale (FAS) was first developed in Scotland 25 years ago. Since then, it has been adapted for use in the Health Behaviour in School-Aged Children (HBSC) Study to research inequalities in adolescent health in Europe and North America. FAS has also been used as an indicator of adolescent socioeconomic status in research studies outside of HBSC, worldwide. There has been a need for FAS to evolve and change its component items over time in order to take into account social and technological changes influencing the families of adolescents. This paper uniquely charts the development of FAS describing the methodological work carried out to validate the measure internationally and over time. It also presents an overview of the body of evidence on adolescent health inequalities produced over years from the HBSC Study and other research studies. Interviews conducted with policy stakeholders reveal that the evidence from FAS-related HBSC work has influenced their strategic work to raise awareness of inequalities and make the case for action to address these. Finally, the future of FAS is discussed with respect to its continual evolution in the context of technological, environmental and social change.

The Impact of Blood Glucose Test Strips Reimbursement Limits on Utilization, Costs, and Health-care Utilization in British Columbia.

OBJECTIVE: People living with diabetes and not using insulin may not derive clinically significant benefit from routine glucose self-monitoring. As a result, in 2015, British Columbia (BC) introduced quantity restrictions for blood glucose test strips (BGTS) coverage in public plans. We studied the impact of this policy on utilization, costs, and health-care utilization. METHODS: We identified a cohort of adults (≥18 years old) with diabetes between 2013 and 2019. Using BC's administrative data, we studied utilization and costs among individuals with at least one PharmaCare-eligible BGTS claim. Using interrupted time-series analysis, we studied cost savings and determined the level of policy adherence. In addition, we investigated longitudinal changes in all-cause and diabetes-specific physician visits, all-cause hospitalizations, and health-care spending in the 3 to 5 years after policy implementation. RESULTS: Over the study period, 279.7 million BGTS were eligible for PharmaCare coverage, on which the government spent $124.3 million. After policy implementation, we observed an immediate decline in average utilization and PharmaCare expenditure on BGTS, leading to an estimated $44.6 million in savings between 2015 and 2019 (95% confidence interval $16.9 to $72.3 million). We found no association between the policy's implementation and health services utilization or overall health-care spending over the long term. CONCLUSIONS: Restricting reimbursement for BGTS in BC resulted in significant cost savings without any attendant increase in health services utilization over the subsequent 5 years. This disinvestment freed up resources that could be channeled toward other interventions.