Policy Research Research Articles

Global trend of nondrug and nonsedativehypnotic treatment forinsomnia: a bibliometric study.

To present a bibliometric analysis of global scientific publications on the nondrug and nonsedative hypnotic treatment of insomnia with regard to influential institutions, publications, countries, research hotspots, trends, and frontiers. A literature review was conducted by searching the Web of Science Core Collection (WoSCC) and China National Knowledge Infrastructure (CNKI) databases to identify all publications related to the nondrug and nonsedative hypnotic treatment of insomnia from 2000 to 2021. Eligible publications were reviewed, including annual publication increments, citation analyses, international collaborations, and keyword analyses. The data were analysed using CiteSpace (vers5.8.R3, 6.1.R2 and 6.1.6, College of Computing and Informatics, Philadelphia, PA, USA) and virtualized by knowledge maps. RESULTS：In total, 9832 publications were included in this analysis. The results from the WoSCC showed that the United States of America (Count = 2268, 40.33%), Stanford University (Count = 141, 2.51%), and the United States Department of Health and Human Services were the leading country, institute, and funding agency regarding the number of publications, respectively. 'Cognitive-behavioural therapy" was the most popular research topic generated from the cocited reference. The most frequently co-occurring keywords were insomnia, cognitive behavioural therapy, disorder, depression, quality of life, Meta-analysis, older adult, sleep, prevalence and efficacy, while keywords including clinical practice guideline, guideline, and Tai Chi remained popular after 2021. Circadian rhythm was the strongest research frontier for 2000-2021. In China, Chengdu University of Traditional Chinese Medicine (Count = 69, 4.79%) was the most productive institute in this field. The most frequently co-occurring keywords from Chinese literature were sleep disorder, sleep quality, acupuncture and moxibustion, Parkinson's disease, transcranial magnetic stimulation, health education, music therapy, chronic insomnia, quality of life, and nonmotor symptoms. Traditional Chinese medicine was the strongest research frontier for 2019-2021. This bibliometric study provides an exhaustive mapping encompassing pertinent institute, publications, influential articles, researchers and topics of the global trend of nondrug and nonsedative hypnotic treatment for insomnia. The results show that the research trend has shifted from primary studies on the efficacy and safety of nondrug and nonsedative hypnotic treatment for insomnia to comorbidity studies. Clinical practice guidelines will potentially become the research frontier for this field post-2021. The findings are important for researchers, clinicians, journal editors, and policy-makers working in the field of nondrug and nonsedative hypnotic treatment for insomnia to understand the strengths and potentials in the current studies and guide future clinical practice, research, and science policy.

Guest editorial: Climate resilient food systems: implications for policy research

Guest editorial: Climate resilient food systems: implications for policy research

How does institutional theory illuminate the influence of the digital economy on R&D networks?

PurposeThe purpose of this research is to explore how an innovation organization's orientation toward the digital economy influences its position within R&D networks. By using institutional theory, the study aims to forecast market changes and understand how organizations can navigate the digital economy to secure essential resources and minimize dependencies.Design/methodology/approachThis study employs a longitudinal panel dataset with 11,763 entries from 1995 to 2018, covering strategic emerging industries in China to analyze the impact of digital economy orientation on R&D networks. Utilizing advanced statistical models, it assesses the role of the legal environment as a moderator. This methodological approach facilitates a robust examination of the nexus between digital orientation and network dynamics within the context of institutional theory.FindingsThe study reveals that an organization's digital economy orientation enhances its centrality in R&D networks but reduces its control over structural holes. The legal environment negatively moderates the impact of digital economy orientation on network centrality, while positively influencing the relationship with network structural holes. These findings offer new insights into how institutional forces shape the strategic positioning of organizations in R&D collaborations.Originality/valueThis research offers a fresh perspective on the digital economy's impact on R&D networks, particularly in the Industry-University-Research (IUR) context. It extends the discourse by integrating institutional theory to elucidate the adaptation of R&D networks in the digital era. By identifying the legal environment as a moderator, the study provides a nuanced understanding of the strategic alignment within networks influenced by digital advancements. The unique focus on China's R&D networks presents a valuable contribution to the global discussion on digital integration and innovation ecosystems, highlighting the intersection of policy, academia, and industry in shaping research and development trajectories.

Implementation of Obesity Science Into Clinical Practice: A Scientific Statement From the American Heart Association.

Obesity is a recognized public health epidemic with a prevalence that continues to increase dramatically in nearly all populations, impeding progress in reducing incidence rates of cardiovascular disease. Over the past decade, obesity science has evolved to improve knowledge of its multifactorial causes, identifying important biological causes and sociological determinants of obesity. Treatments for obesity have also continued to develop, with more evidence-based programs for lifestyle modification, new pharmacotherapies, and robust data to support bariatric surgery. Despite these advancements, there continues to be a substantial gap between the scientific evidence and the implementation of research into clinical practice for effective obesity management. Addressing barriers to obesity science implementation requires adopting feasible methodologies and targeting multiple levels (eg, clinician, community, system, policy) to facilitate the delivery of obesity-targeted therapies and maximize the effectiveness of guideline-driven care to at-need patient populations. This scientific statement (1) describes strategies shown to be effective or promising for enhancing translation and clinical application of obesity-based research; (2) identifies key gaps in the implementation of obesity science into clinical practice; and (3) provides guidance and resources for health care professionals, health care systems, and other stakeholders to promote broader implementation and uptake of obesity science for improved population-level obesity management. In addition, advances in implementation science that hold promise to bridge the know-do gap in obesity prevention and treatment are discussed. Last, this scientific statement highlights implications for health research policy and future research to improve patient care models and optimize the delivery and sustainability of equitable obesity-related care.

The Micro-Effect of Monetary Policy on the Misallocation of Credit

The structural effects of monetary policy and these effects impact on credit allocation are crucial facets of monetary policy research. This study initially estimates China’s monetary policy based on the GDP growth target and CPI target found in the Chinese Government’s Annual Work Report. Subsequently, it quantifies the extent of credit misallocation among Chinese firms using data from listed companies from the years 2013 to 2022. Finally, we empirically investigate the repercussions of expansionary monetary policy shocks on credit misallocation, focusing on micro-firms. Empirical findings reveal that expansionary monetary policy significantly exacerbates credit misallocation, particularly in underfinanced firms. Mechanistic analysis suggests that a preference for loan size in lending behavior constitutes a major factor contributing to credit misallocation among firms.

The effects of computer‐assisted interactive reading model on higher‐level and lower‐level text processing skills and cognitive load

Lay DescriptionWhat is already known about this topic Previous research has shown digital reading involves multiple cognitive processes. Higher and lower‐level text processing skills are positively correlated. What this paper adds The study provides empirical evidence for the interactivity effect in digital text processing. Learners can use different text processing strategies dynamically and nonlinearly, leading to cognitive benefits. Implications for practice and/or policy CALL practitioners and researchers can use the insights from this study to design effective digital reading interventions. Learners may benefit from using different strategies depending on the task at hand.

Mapping the Degenerative Cervical Myelopathy Research Landscape: Topic Modeling of the Literature.

Topic modeling of literature. Our study has 2 goals: (i) to clarify key themes in degenerative cervical myelopathy (DCM) research, and (ii) to evaluate the current trends in the popularity or decline of these topics. Additionally, we aim to highlight the potential of natural language processing (NLP) in facilitating research syntheses. Documents were retrieved from Scopus, preprocessed, and modeled using BERTopic, an NLP-based topic modeling method. We specified a minimum topic size of 25 documents and 50 words per topic. After the models were trained, they generated a list of topics and corresponding representative documents. We utilized linear regression models to examine trends within the identified topics. In this context, topics exhibiting increasing linear slopes were categorized as "hot topics," while those with decreasing slopes were categorized as "cold topics". Our analysis retrieved 3510 documents that were classified into 21 different topics. The 3 most frequently occurring topics were "OPLL" (ossification of the posterior longitudinal ligament), "Anterior Fusion," and "Surgical Outcomes." Trend analysis revealed the hottest topics of the decade to be "Animal Models," "DCM in the Elderly," and "Posterior Decompression" while "Morphometric Analyses," "Questionnaires," and "MEP and SSEP" were identified as being the coldest topics. Our NLP methodology conducted a thorough and detailed analysis of DCM research, uncovering valuable insights into research trends that were otherwise difficult to discern using traditional techniques. The results provide valuable guidance for future research directions, policy considerations, and identification of emerging trends.

A theory of policy advisory system quality: Hirschman 2.0 or what makes for good policy advice?

Not everyone’s ideas count equally in terms of influencing and informing policy design and instrument choices. As the literature on policy advice has shown, such advice arises from many different actors interacting with each other often over relatively long timeframes. Actors within these ‘policy advisory systems’ operate within the confines of an existing set of political and economic institutions and governing norms, and each actor brings with them different interests, ideas and resources. Studying who these actors are, how they act and how their actions affect the overall nature of the advice system and its contents are critical aspects of current public policy research. But not all these elements have been equally well conceptualised or studied, especially those concerning their impact on the quality of policy advice emerging from a system. In this article, the general nature of policy advisory systems is set out, their major components described and a model of individual and organisational behaviour within them outlined inspired by a modification of the ‘exit, voice, loyalty’ rubric of Albert Hirschman. Our findings show how aggregated individual organisational behaviour along the lines suggested by Hirschman can over time result in very different kinds of advice being provided by an advisory system, with predictable consequences for its nature and quality.

A ‘heavy hammer to crack a small nut'? The creation of the European Molecular Biology Conference (EMBC), 1963–1970

ABSTRACT This article reconstructs the complex diplomatic negotiations that led to the peculiar organization of molecular biology at the European level, by focusing in particular on the establishment of the European Molecular Biology Conference (EMBC), the intergovernmental structure founded in 1969–70 to support the scientific program of the European Molecular Biology Organization (EMBO). By combining the analysis of the informal decision-making kept in the Nobel Prize laureate John C. Kendrew’s personal papers (Oxford) with the in-depth exploration of the institutional documentation available in the EMBO and CERN archives (Heidelberg and Geneva) and the Swiss Federal Archives (Bern), the article sheds light on the importance of the EMBC not only for the construction of molecular biology as a scientific, social, and political field in the European context, but also for the broader process of definition of the European research policy. Far from being just a mere replica of CERN, the EMBO/EMBC inaugurated in fact an alternative and flexible ‘bottom-up’ model of science policy in the European context, based on competition, networking, and scientific excellence, which paved the way to the establishment of the European Research Council (ERC) in the early 2000s.

‘We Hold on and Have Patience’: Perspectives and Experiences of Migrant Fathers in Belgian Asylum Centres

ABSTRACTOn arrival in the European Union, most migrants who apply for asylum stay often for extended periods of time in asylum centres, putting parenting practices under pressure. Despite an increased interest in the functioning of migrant families, the perspectives of migrant fathers remain marginalized in practice, policy, and scientific research. Very little is known about how migration impacts fathering practices and how migrant fathers may best be supported in their parental role, especially in unique parenthood contexts such as when residing in an asylum centre. This paper aims to explore migrant fathers' parental practices, experiences, and perspectives while raising their children in an asylum centre in Belgium. Semi‐structured interviews with 21 fathers in asylum centres were conducted. The findings were thematically analysed. The analysis shows that staying in an asylum centre challenged fathers' ability to fulfil paternal tasks and responsibilities such as ensuring safe accommodation, providing food, fulfilling material needs, and bringing their children to school. Different coping strategies such as seeking (in)formal support and problem‐solving were expressed to answer the daily challenges and resist existing reception structures. For most fathers, the roles of provider and protector were the most important. We argue that migrants' unique voices, experiences, and understandings remain left unheard in the organization and the practical implementation of asylum reception initiatives, limiting support for fathers in these institutions and hindering the enjoyment of their roles as fathers during adverse and stressful periods.

Study on urban green development efficiency of Jiangsu, Zhejiang and Fujian in China: a mixed network SBM approach

PurposeBy studying the green development efficiency (GDE) of 33 cities in the provinces of Jiangsu, Zhejiang, and Fujian in China, this study strives to conduct an analysis of the sustainable practices implemented in these developed regions, and derive valuable insights that can foster the promotion of green transformation.Design/methodology/approachFirst, the urban green development system (GDS) was decomposed into the economic benefit subsystem (EBS), social benefit subsystem (SBS), and pollution control subsystem (PCS). Then, a mixed network SBM model was proposed to evaluate the GDE during 20152020, with Moran’s I and Bootstrap truncated regression model subsequently applied to measure the spatial characteristics and driving factors of efficiency.FindingsSubsystem efficiency presents a distribution trend of PCS > EBS > SBS. There is a particular spatial aggregation effect in EBS efficiency, whereas SBS and PCS efficiencies have no significant spatial autocorrelation. Furthermore, urbanization level contributes significantly to the efficiency of all subsystems; industrial structure, energy consumption, and technological innovation play a crucial role in EBS and SBS; external openness is a pivotal factor in SBS; and environmental regulation has a significant effect on PCS.Originality/valueThis study further decomposes the black box of GDS into subsystems including the economy, society, and environment. Additionally, by employing a mixed network SBM model and Bootstrap truncated regression model to investigate efficiency and its driving factors from the subsystem perspective, it endeavors to derive more detailed research conclusions and policy implications.

Attitudes towards Technology: Insights on Rarely Discussed Influences on Older Adults’ Willingness to Adopt Active Assisted Living (AAL)

Background: European research policy promotes active assisted living (AAL) to alleviate costs and reach new markets. The main argument for massive investments in AAL is its potential to raise older adults’ Quality of Life and enhance their freedom, autonomy, mobility, social integration, and communication. However, AAL is less widely spread in older adults’ households than expected. Research Aim: We investigate how the variable “technology acceptance” is connected to socio-economic-, social, health, “personal attitude towards ageing”, and “Quality of life” variables. Method: We conducted a study in Vienna between 2018 and 2020, questioning 245 older adults (M = 74, SD = 6.654) living in private homes. We calculated multivariate models regressing technology acceptance on the various exploratory and confounding variables. Results: Experiencing an event that made the person perceive their age differently changed the attitude towards using an assistive technological system. Participants perceived technology that is directly associated with another human being (e.g., the use of technology to communicate with a physician) more positively. Conclusion: Older adults’ attitudes towards technology may change throughout their lives. Using major events in life as potential entry points for technology requires awareness to avoid reducing the lives of older adults to these events. Secondly, a certain human preference for “human technology” may facilitate abuse if technology is given a white coat, two eyes, a nose, and a mouth that may falsely be associated with a natural person. This aspect raises the ethical issue of accurate information as a significant precondition for informed consent.

Research outcomes informing the selection of public health interventions and strategies to implement them: A cross-sectional survey of Australian policy-maker and practitioner preferences

BackgroundA key role of public health policy-makers and practitioners is to ensure beneficial interventions are implemented effectively enough to yield improvements in public health. The use of evidence to guide public health decision-making to achieve this is recommended. However, few studies have examined the relative value, as reported by policy-makers and practitioners, of different broad research outcomes (that is, measures of cost, acceptability, and effectiveness). To guide the conduct of research and better inform public health policy and practice, this study aimed at describing the research outcomes that Australian policy-makers and practitioners consider important for their decision-making when selecting: (a) public health interventions; (b) strategies to support their implementation; and (c) to assess the differences in research outcome preferences between policy-makers and practitioners.MethodAn online value-weighting survey was conducted with Australian public health policy-makers and practitioners working in the field of non-communicable disease prevention. Participants were presented with a list of research outcomes and were asked to select up to five they considered most critical to their decision-making. They then allocated 100 points across these – allocating more points to outcomes perceived as more important. Outcome lists were derived from a review and consolidation of evaluation and outcome frameworks in the fields of public health knowledge translation and implementation. We used descriptive statistics to report relative preferences overall and for policy-makers and practitioners separately.ResultsOf the 186 participants; 90 primarily identified as policy-makers and 96 as public health prevention practitioners. Overall, research outcomes of effectiveness, equity, feasibility, and sustainability were identified as the four most important outcomes when considering either interventions or strategies to implement them. Scores were similar for most outcomes between policy-makers and practitioners.ConclusionFor Australian policy-makers and practitioners working in the field of non-communicable disease prevention, outcomes related to effectiveness, equity, feasibility, and sustainability appear particularly important to their decisions about the interventions they select and the strategies they employ to implement them. The findings suggest researchers should seek to meet these information needs and prioritize the inclusion of such outcomes in their research and dissemination activities. The extent to which these outcomes are critical to informing the decision of policy-makers and practitioners working in other jurisdictions or contexts warrants further investigation.

Trend Research on Maritime Autonomous Surface Ships (MASSs) Based on Shipboard Electronics: Focusing on Text Mining and Network Analysis

The growing adoption of electric propulsion systems in Maritime Autonomous Surface Ships (MASSs) necessitates advancements in shipboard electronics for safe, efficient, and reliable operation. These advancements are crucial for tasks such as real-time sensor data processing, control algorithms for autonomous navigation, and robust decision-making capabilities. This study investigates research trends in MASSs, using bibliographic analysis to identify policy and future research directions in this evolving field. We analyze 3363 MASS-related articles from the Web of Science database, employing co-occurrence word analysis and latent Dirichlet allocation (LDA) topic modeling. The findings reveal a rapidly growing field dominated by image recognition research. Keywords such as “datum”, “image”, and “detection” suggest a focus on collecting and analyzing marine data, particularly with deep learning for synthetic aperture radar imagery. LDA confirms this, with “image analysis and classification research” as the leading topic. The study also identifies national and organizational leaders in MASS research. However, research on Arctic routes lags behind that on other areas. This work provides valuable insights for policymakers and researchers, promoting a deeper understanding of MASSs and informing future policy and research agendas regarding the integration of electric propulsion systems within the maritime industry.

Multilingualism in Scientific Literature Communicated by Journals from the SciELO Brazil Collection

This article describes the internationalization of the Scientific Electronic Library Online (SciELO), an open-science programme aimed at the development of capacities and infrastructure in research communication. It manages open-access collections of preprints, articles, research data, books, and book chapters, with a focus on national collections of non-profit peer-reviewed journals published by research communities of academic institutions, scientific societies, and associations. Celebrating 25 years of regular operation, SciELO improves research communication through professionalization, internationalization and sustainability of the indexed journals, maximizing their visibility and impact. In Brazil, the internationalization efforts by SciELO are aligned with national research policies, especially the internationalization of graduate programmes. The SciELO Brazil collection of journals evolves by adopting English solely or with Portuguese to improve the contribution of multilingualism to performing research by subject field. This article covers two decades of scientific literature in SciELO Brazil from 2003 to 2022. During this time, articles written in English or simultaneously in Portuguese and English increased significantly, resulting in a corresponding rise in access and citations received. The progress of the internationalization of the journals in the SciELO Brazil collection through multilingualism has been challenging both operationally and programmatically.

Some Positive Trends in the Development of University Science in Russia at the Present Time

The development of university science is one of the state policy priorities in Russia today. To determine this process prospects, it is important to identify positive trends and best practices of leading Russian universities scientific activity. For this purpose, the article considers the organizational features and sources of university science funding, analyzes the main indicators of research performance and practices of research policy implementation, summarizes the scientific achievements of leading Russian universities. The article uses the methods of universities monitoring activities statistical analysis and substantive analysis of information about the universities` scientific activities posted in open sources. The conclusions are drawn about the formation in Russia leading universities group with a stable priority of research activities, the core of which is formed by leading technical sectoral universities and regional polytechnic universities, the practices of science organization and the main scientific achievements of which can significantly influence the further development of domestic university science, as well as the world scientific knowledge expansion and Russian society socio-economic development issues solution.

Exploring the potential of ammonia and hydrogen as alternative fuels for transportation

Abstract This study investigates the potential of hydrogen and ammonia, as alternatives for transportation fuels to tackle urgent issues concerning greenhouse gas emissions and air quality in the worldwide transportation sector. By examining studies and technological progresses, we evaluate the feasibility of transitioning to these energy options. Through an investigation of production methods, energy efficiency, environmental consequences, and infrastructure requirements, we present both the advantages and disadvantages of using hydrogen and ammonia as fuel substitutes. We spotlight production techniques such as electrolysis and renewable energy sources that could significantly decrease carbon emissions and air pollutants. Nonetheless, key challenges such as expanding infrastructure, cost-effectiveness, and safety considerations need to be resolved for adoption. Drawing on findings from research and industry developments, this article contributes to publications on transportation solutions while proposing avenues for research efforts and policy initiatives. Existing challenges and limitations are also discussed in details. In conclusion, this research underscores the significance of research endeavors and policy backing to unlock the potential of hydrogen and ammonia as sustainable transportation fuels underscoring their role in mitigating environmental impacts and promoting global sustainability objectives.

Liberal Convergence or Differential Exclusion? Temporary Labor Migration Policy in Japan and Korea

Abstract The rapid industrialization of countries in East Asia and the resulting labor shortage are challenging established theories in research on migration policy. Studies argue that the persistence of temporary labor migration programs in this region contests the liberal convergence thesis, which suggests that democratization inevitably leads to more open migration policies. This article revisits the theoretical debate, focusing on conceptual equivalence across time and space. In a comparative policy study of Japan and Korea, we examine the development of two temporary labor migration programs (the Specified Skilled Worker program and the Employment Permit System). Our findings demonstrate how migration policies alternately intersect and diverge throughout time and across policy dimensions. The article contributes to comparative research in migration policy by highlighting the significance of historically informed and empirically equivalent analysis of migration policies.

The National Cancer Database Conforms to the Standardized Framework for Registry and Data Quality.

Standardization of procedures for data abstraction by cancer registries is fundamental for cancer surveillance, clinical and policy decision-making, hospital benchmarking, and research efforts. The objective of the current study was to evaluate adherence to the four components (completeness, comparability, timeliness, and validity) defined by Bray and Parkin that determine registries' ability to carry out these activities to the hospital-based National Cancer Database (NCDB). Tbis study used data from U.S. Cancer Statistics, the official federal cancer statistics and joint effort between the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute (NCI), which includes data from National Program of Cancer Registries (NPCR) and Surveillance, Epidemiology, and End Results (SEER) to evaluate NCDB completeness between 2016 and 2020. The study evaluated comparability of case identification and coding procedures. It used Commission on Cancer (CoC) standards from 2022 to assess timeliness and validity. Completeness was demonstrated with a total of 6,828,507 cases identified within the NCDB, representing 73.7% of all cancer cases nationwide. Comparability was followed using standardized and international guidelines on coding and classification procedures. For timeliness, hospital compliance with timely data submission was 92.7%. Validity criteria for re-abstracting, recording, and reliability procedures across hospitals demonstrated 94.2% compliance. Additionally, data validity was shown by a 99.1% compliance with histologic verification standards, a 93.6% assessment of pathologic synoptic reporting, and a 99.1% internal consistency of staff credentials. The NCDB is characterized by a high level of case completeness and comparability with uniform standards for data collection, and by hospitals with high compliance, timely data submission, and high rates of compliance with validity standards for registry and data quality evaluation.

Development and validation of the Trust in Multidimensional Healthcare Systems Scale (TIMHSS)

ContextThe COVID-19 pandemic has reignited a commitment from the health policy and health services research communities to rebuilding trust in healthcare and created a renewed appetite for measures of trust for system monitoring and evaluation. The aim of the present paper was to develop a multidimensional measure of trust in healthcare that: (1) Is responsive to the conceptual and methodological limitations of existing measures; (2) Can be used to identify systemic explanations for lower levels of trust in equity-deserving populations; (3) Can be used to design and evaluate interventions aiming to (re)build trust.MethodsWe conducted a 2021 review of existing measures of trust in healthcare, 72 qualitative interviews (Aug-Dec 2021; oversampling for equity-deserving populations), an expert review consensus process (Oct 2021), and factor analyses and validation testing based on two waves of survey data (Nov 2021, n = 694; Jan-Feb 2022, n = 740 respectively).FindingsWe present the Trust in Multidimensional Healthcare Systems Scale (TIMHSS); a 38-item correlated three-factor measure of trust in doctors, policies, and the system. Measurement of invariance tests suggest that the TIMHSS can also be reliably administered to diverse populations.ConclusionsThis global measure of trust in healthcare can be used to measure trust over time at a population level, or used within specific subpopulations, to inform interventions to (re)build trust. It can also be used within a clinical setting to provide a stronger evidence base for associations between trust and therapeutic outcomes.