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Open data as an integral part of the open science movement enhances the openness and sharing of scientific datasets. Nevertheless, the normative utilization of data journals, data papers, scientific datasets, and data citations necessitates further research. This study aims to investigate the citation practices associated with data papers and to explore the role of data papers in disseminating scientific datasets. Dataset accession numbers from NCBI databases were employed to analyze the prevalence of data citations for data papers from PubMed Central. A dataset citation practice identification rule was subsequently established. The findings indicate a consistent growth in the number of biomedical data journals published in recent years, with data papers gaining attention and recognition as both publications and data sources. Although the use of data papers as citation sources for data remains relatively rare, there has been a steady increase in data paper citations for data utilization through formal data citations. Furthermore, the increasing proportion of datasets reported in data papers that are employed for analytical purposes highlights the distinct value of data papers in facilitating the dissemination and reuse of datasets to support novel research. [ABSTRACT FROM AUTHOR]

Classifying papers according to the fields of knowledge is critical to clearly understand the dynamics of scientific (sub)fields, their leading questions, and trends. Most studies rely on journal categories defined by popular databases such as WoS or Scopus, but some experts find that those categories may not correctly map the existing subfields nor identify the subfield of a specific article. This study addresses the classification problem using data from each paper (Abstract, Title, Keywords, and the KeyWords Plus) and the help of experts to identify the existing subfields and journals exclusive of each subfield. These "exclusive journals" are critical to obtain, through a pattern detection procedure that uses machine learning techniques (from software NVivo), a list of the frequent terms that are specific to each subfield. With that list of terms and with the help of optimization procedures, we can identify to which subfield each paper most likely belongs. This study can contribute to support scientific policy‐makers, funding, and research institutions—via more accurate academic performance evaluations—, to support editors in their tasks to redefine the scopes of journals, and to support popular databases in their processes of refining categories. [ABSTRACT FROM AUTHOR]

To what extent is the destiny of a scientific paper shaped by the cocitation network in which it is involved? What are the social contexts that can explain these structuring? Using bibliometric data, interviews with researchers, and social network analysis, this article proposes a typology based on egocentric cocitation networks that displays a quadruple structuring (before and after publication): polarization, clusterization, atomization, and attrition. It shows that the academic capital of the authors and the intellectual resources of their research are key factors of these destinies, as are the social relations between the authors concerned. The circumstances of the publishing are also correlated with the structuring of the egocentric cocitation networks, showing how socially embedded they are. Finally, the article discusses the contribution of these original networks to the analyze of scientific production and its dynamics. [ABSTRACT FROM AUTHOR]

Scientific papers are essential manifestations of evolving scientific knowledge, and arguments are an important avenue to communicate research results. This study aims to understand how the argumentation process is represented in scientific papers, which is important for knowledge representation, discovery, and retrieval. First, based on fundamental argument theory and scientific discourse ontologies, a coding schema, including 17 categories was constructed. Thereafter, annotation experiments were conducted with 40 scientific articles randomly selected from two different research areas (library and information science and biomedical sciences). Statistical analysis and the sequential pattern mining method were then employed; the ratio of different argumentation units and evidence types were calculated, the argumentation semantics of figures and tables analyzed, and the argumentation structures extracted. A correlation analysis between argumentation and rhetorical structures was also performed to further reveal how argumentation was represented within scientific discourses. The results indicated a difference in the proportion of the argumentation units in the two types of scientific papers, as well as a similar linear construction with differences in the specific argument structures of each knowledge domain and a clear correlation between argumentation and rhetorical structure. [ABSTRACT FROM AUTHOR]

When writing a research paper, the author has to select information to include in the paper to support various arguments. The information has to be organized and synthesized into a coherent whole through relationships and information structures. There is hardly any research on the information structure of research papers, and how information structure supports rhetorical and argument structures. Thus, this study is focused on information organization in the Abstract and Introduction sections of sociology research papers, analyzing the information structure of research objective, question, hypothesis, and result statements. The study is limited to research papers reporting research that investigated cause–effect relations between two concepts. Two semantic frames were developed to specify the types of information associated with cause–effect and comparison relations, and used as coding schemes to annotate the text for different information types. Six link patterns between the two frames were identified—showing how comparisons are used to support the claim that the cause‐effect relation is valid. This study demonstrated how semantic frames can be incorporated in discourse analysis to identify deep structures underlying the argument structure. The results carry implications for the knowledge representation of academic research in knowledge graphs, for semantic relation extraction, and teaching of academic writing. [ABSTRACT FROM AUTHOR]

This article explores the factors influencing the future citations of conference papers. We concentrated on the explanatory power of early attention on conference papers for citations collected from Google Scholar and Scopus. The early attention data includes users' online activities in a conference support system: CN3. Bookmarks from the bibliographic management system, Citeulike, were used as a collateral source of early attention. To examine the chronological contributions of 13 factors on citations, a multiple sequential regression analysis was conducted for three timepoints of the publication cycle—paper submission, time of conferences, and months after conferences. Our results illustrate that online readers' early attention of Citeulike bookmarks were found to have the most influence on the future impact of the conference papers. The early attention records from CN3 made noteworthy improvements to explaining both the Google and Scopus citations as well. We also found that the type of papers the number of papers presented at a conference, and the best article award records were significant factors influencing future citations. However, the magnitude of the effects made by online readers' early attention from both sources appears to be larger than these three traditional factors. [ABSTRACT FROM AUTHOR]

The data paper, an emerging scholarly genre, describes research data sets and is intended to bridge the gap between the publication of research data and scientific articles. Research examining how data papers report data events, such as data transactions and manipulations, is limited. The research reported on in this article addresses this limitation and investigated how data events are inscribed in data papers. A content analysis was conducted examining the full texts of 82 data papers, drawn from the curated list of data papers connected to the Global Biodiversity Information Facility. Data events recorded for each paper were organized into a set of 17 categories. Many of these categories are described together in the same sentence, which indicates the messiness of data events in the laboratory space. The findings challenge the degrees to which data papers are a distinct genre compared to research articles and they describe data‐centric research processes in a through way. This article also discusses how our results could inform a better data publication ecosystem in the future. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to elucidate the connection between osteoclastic forkhead transcription factor O1 (FoxO1) and periodontitis and explore the underlying mechanism by which FoxO1 knockdown regulates osteoclast formation. Materials and Methods: A conventional ligature‐induced periodontitis model was constructed to reveal the alterations in the proportion of osteoclastic FoxO1 in periodontitis via immunofluorescence staining. Additionally, RNA sequencing (RNA‐seq) was performed to explore the underlying mechanisms of FoxO1 knockdown‐mediated osteoclastogenesis, followed by western blotting, quantitative polymerase chain reaction, and enzyme‐linked immunosorbent assay. Results: FoxO1+ osteoclasts were enriched in the alveolar bone in experimental periodontitis. Moreover, FoxO1 knockdown led to impaired osteoclastogenesis with low expression of osteoclast differentiation‐related genes, accompanied by an insufficient osteoclast maturation phenotype. Mechanistically, RNA‐seq revealed that the nuclear factor kappa B (NF‐κB) and nucleotide‐binding oligomerization domain‐like receptor family pyrin domain containing 3 (NLRP3) inflammasome signaling pathways were inhibited in FoxO1‐knockdown osteoclasts. Consistent with this, MCC950, an effective inhibitor of the NLRP3 inflammasome, substantially attenuated osteoclast formation. Conclusions: FoxO1 knockdown contributed to the inhibition of osteoclastogenesis by effectively suppressing NF‐κB signaling and NLRP3 inflammasome activation. This prospective study reveals the role of FoxO1 in mediating osteoclastogenesis and provides a viable therapeutic target for periodontitis treatment. [ABSTRACT FROM AUTHOR]

Aim: To explore the health beliefs of clinical and academic nurses from Japan, Australia and China regarding wearing paper masks to protect themselves and others, and to identify differences in participants' health beliefs regarding masks. Background: The correct use of face masks and consensus among health professionals across the globe is essential for containing pandemics, and nurses need to act according to policy to protect themselves, educate the public and preserve resources for frontline health workers. Paper masks are worn by health professionals and the general public to avoid the transmission of respiratory infections, such as COVID‐19, but there appear to be differences in health beliefs of nurses within and between countries regarding these. Methods: This qualitative descriptive study used content analysis with a framework approach. Findings: There were major differences in nurse participants' beliefs between and within countries, including how nurses use paper masks and their understanding of their efficacy. In addition, there were cultural differences in the way that nurses use masks in their daily lives and nursing practice contexts. Conclusion: Nurses from different working environments, countries and areas of practice hold a variety of health beliefs about mask wearing at the personal and professional level. Implications for nursing policy and health policy: The COVID‐19 pandemic has sparked much discussion about the critical importance of masks for the safety of health professionals, and there has been considerable discussion and disagreement about health policies regarding mask use by the general public. Improper use of masks may have a role in creating mask shortages or transmitting infections. An evidence‐based global policy on mask use for respiratory illnesses for health professionals, including nurses, and the general public needs to be adopted and supported by a wide‐reaching education campaign. [ABSTRACT FROM AUTHOR]

Donor human milk (DHM) from a milk bank is the recommended feeding method for preterm infants when the mother's own milk (MOM) is not available. Despite this recommendation, information on the possible contamination of donor human milk and its impact on infant health outcomes is poorly characterised. The aim of this systematic review is to assess contaminants present in DHM samples that preterm and critically ill infants consume. The data sources used include PubMed, EMBASE, CINAHL and Web of Science. A search of the data sources targeting DHM and its potential contaminants yielded 426 publications. Two reviewers (S. T. and D. L.) conducted title/abstract screening through Covidence software, and predetermined inclusion/exclusion criteria yielded 26 manuscripts. Contaminant types (bacterial, chemical, fungal, viral) and study details (e.g., type of bacteria identified, study setting) were extracted from each included study during full‐text review. Primary contaminants in donor human milk included bacterial species and environmental pollutants. We found that bacterial contaminants were identified in 100% of the papers in which bacterial contamination was sought (16 papers) and 61.5% of the full data set (26 papers), with the most frequently identified genera being Staphylococcus (e.g., Staphylococcus aureus and coagulase‐negative Staphylococcus) and Bacillus (e.g., Bacillus cereus). Chemical pollutants were discovered in 100% of the papers in which chemical contamination was sought (eight papers) and 30.8% of the full data set (26 papers). The most frequently identified chemical pollutants included perfluoroalkyl substances (six papers), toxic metal (one paper) and caffeine (one paper). Viral and fungal contamination were identified in one paper each. Our results highlight the importance of establishing standardisation in assessing DHM contamination and future studies are needed to clarify the impact of DHM contaminants on health outcomes. Key messages: Research regarding chemical contamination in donor human milk (DHM) is limited and needs to be studied further to draw appropriate conclusions on reducing potential risks for infants.Parents/guardians should be educated on the availability of DHM as a supplemental feeding option and made aware of the current research in the field.DHM use requires further standardisation both within the United States and abroad. This standardisation should ensure that risks are not overemphasised and DHM is a cost‐effective, accessible resource as a short‐term intervention when used appropriately as part of optimal lactation and breastfeeding support. [ABSTRACT FROM AUTHOR]

Background: Depression is prevalent across the spectrum of Chronic Kidney Disease and associated with poorer outcomes. There is limited evidence regarding the most effective interventions and care pathways for depression in Chronic Kidney Disease. Objectives: To investigate how depression is identified and managed in adults with Chronic Kidney Disease. Design: Scoping review. Methods: Systematic search of eight databases with pre‐defined inclusion criteria. Data relevant to the identification and/or management of depression in adults with Chronic Kidney Disease were extracted. Results: Of 2147 articles identified, 860 were included. Depression was most identified using self‐report screening tools (n = 716 studies, 85.3%), with versions of the Beck Depression Inventory (n = 283, 33.7%) being the most common. A total of 123 studies included data on the management of depression, with nonpharmacological interventions being more frequently studied (n = 55, 45%). Cognitive Behavioural Therapy (n = 15) was the most common nonpharmacological intervention, which was found to have a significant effect on depressive symptoms compared to controls (n = 10). However, how such approaches could be implemented as part of routine care was not clear. There was limited evidence for antidepressants use in people with Chronic Kidney Disease albeit in a limited number of studies. Conclusions: Depression is commonly identified using validated screening tools albeit differences exist in reporting practices. Evidence regarding the management of depression is mixed and requires better‐quality trials of both pharmacological and nonpharmacological approaches. Understanding which clinical care pathways are used and their evidence, may help facilitate the development of kidney care specific guidelines for the identification and management of depression. [ABSTRACT FROM AUTHOR]

When writing a research paper, the author has to select information to include in the paper to support various arguments. The information has to be organized and synthesized into a coherent whole through relationships and information structures. There is hardly any research on the information structure of research papers, and how information structure supports rhetorical and argument structures. Thus, this study is focused on information organization in the Abstract and Introduction sections of sociology research papers, analyzing the information structure of research objective, question, hypothesis, and result statements. The study is limited to research papers reporting research that investigated cause–effect relations between two concepts. Two semantic frames were developed to specify the types of information associated with cause–effect and comparison relations, and used as coding schemes to annotate the text for different information types. Six link patterns between the two frames were identified—showing how comparisons are used to support the claim that the cause‐effect relation is valid. This study demonstrated how semantic frames can be incorporated in discourse analysis to identify deep structures underlying the argument structure. The results carry implications for the knowledge representation of academic research in knowledge graphs, for semantic relation extraction, and teaching of academic writing. [ABSTRACT FROM AUTHOR]

Aim: To describe the non‐significant results in nurses' outcomes after the implementation of person‐centred care (PCC) and discuss if and how enablers of the WE‐CARE roadmap for implementing PCC could abate the non‐significant results. Design: In this paper, an innovative framework of enablers in the WE‐CARE Roadmap is explained in relation to increased PCC and nurses' job satisfaction. Method: Findings from a scoping review and published material provided how PCC and nurses' outcomes connect. The WE‐CARE roadmap entails five enablers: Information technology, Quality measures, Infrastructure, Incentive systems and contracting strategies. Results: The WE‐CARE roadmap was described and each enabler in the WE‐CARE roadmap is discussed concerning PCC and the nurses' job satisfaction. Thus far, the effects of PCC on nurses' outcomes have been non‐significant. The WE‐CARE roadmap enablers can be implemented to ensure an increased PCC implementation and higher nurses' job satisfaction. [ABSTRACT FROM AUTHOR]

Compared to previous studies that generally detect scientific breakthroughs based on citation patterns, this article proposes a knowledge entity‐based disruption indicator by quantifying the change of knowledge directly created and inspired by scientific breakthroughs to their evolutionary trajectories. Two groups of analytic units, including MeSH terms and their co‐occurrences, are employed independently by the indicator to measure the change of knowledge. The effectiveness of the proposed indicators was evaluated against the four datasets of scientific breakthroughs derived from four recognition trials. In terms of identifying scientific breakthroughs, the proposed disruption indicator based on MeSH co‐occurrences outperforms that based on MeSH terms and three earlier citation‐based disruption indicators. It is also shown that in our indicator, measuring the change of knowledge inspired by the focal paper in its evolutionary trajectory is a larger contributor than measuring the change created by the focal paper. Our study not only offers empirical insights into conceptual understanding of scientific breakthroughs but also provides practical disruption indicator for scientists and science management agencies searching for valuable research. [ABSTRACT FROM AUTHOR]

This study compares the 45 “Best Paper” award articles with nonaward articles published in the Journal of Association for Information Science and Technology (JASIST) to observe the differences in citations. The results show that, in most cases, the citations of the award articles are more numerous than the median, belonging to the Top‐50% stratum. Only 15.6% of the award articles have the status of being the most‐cited article of the year in which the article was published; 24.4% belong to the Top‐5% stratum of the publication year; 44.4% belong to the Top‐10% stratum of the publication year; and 73.3% belong to the Top‐25% stratum of the publication year. Surprisingly, from 2000 to 2012, none of the award articles made it to the Top‐10% stratum, apart from the year 2004; the least‐cited award article received only three citations during a 5‐year period. The results show a wide range of citations among the Best JASIST Papers. This study also observes that the number of articles changed little from 1969 to 1995 but grew rapidly from 1996 to 2012. Suggestions for possible ways to better meet the challenges of the journal's growth in size and scope in selecting award articles are provided. [ABSTRACT FROM AUTHOR]

Parenteral and enteral nutrition support are key components of care for various medical and physiological conditions in infants, children, and adults. Nutrition support practices have advanced over time, driven by the goals of safe and sufficient delivery of needed nutrients and improved patient outcomes. These advances have been, and continue to be, dependent on research and development studies. Such studies address aspects of enteral and parenteral nutrition support: formulations, delivery devices, health outcomes, cost‐effectiveness, and related metabolism. The studies are supported by public funding from the government and by private funding from foundations and from the nutrition support industry. To build public trust in nutrition support research findings, it is important to underscore ethical research conduct and reporting of results for all studies, including those with industry sponsors. In 2019, American Society for Parenteral and Enteral Nutrition's (ASPEN's) Board of Directors established a task force to ensure integrity in nutrition support research that is done as collaborative partnerships between the public (government and individuals) and private groups (foundations, academia, and industry). In this ASPEN Position Paper, the Task Force presents principles of ethical research to guide administrators, researchers, and funders. The Task Force identifies ways to curtail bias and to minimize actual or perceived conflict of interests, as related to funding sources and research conduct. Notably, this paper includes a Position Statement to describe the Task Force's guidance on Public‐Private Partnerships for research and funding. This paper has been approved by the ASPEN Board of Directors. [ABSTRACT FROM AUTHOR]

Background: With increased use of artificial intelligence in the classroom, there is now a need to better understand the complementarity of intelligent learning technology and teachers to produce effective instruction. Objective: The paper reviews the current research on intelligent learning technology designed to make models of student learning and instruction transparent to teachers, an area we call model‐based learning analytics. We intended to gain an insight into the coupling between the knowledge models that underpin the intelligent system and the knowledge used by teachers in their classroom decision making. Methods: Using a systematic literature review methodology, we first identified 42 papers, mainly from the domain of intelligent tutoring systems and learning analytics dashboards that conformed to our selection criteria. We then qualitatively analysed the context in which the systems were applied, models they used and benefits reported for teachers and learners. Results and Conclusions: A majority of papers used either domain or learner models, suggesting that instructional decisions are mostly left to teachers. Compared to previous reviews, our set of papers appeared to have a stronger focus on providing teachers with theory‐driven insights and instructional decisions. This suggests that model‐based learning analytics can address some of the shortcomings of the field, like meaningfulness and actionability of learning analytics tools. However, impact in the classroom still needs further research, as in half of the cases the reported benefits were not backed with evidence. Future research should focus on the dynamic interaction between teachers and technology and how learning analytics has an impact on learning and decision making by teachers and students. We offer a taxonomy of knowledge models that can serve as a starting point for designing such interaction. Lay Description: What is currently known: Current learning analytics solutions are often not perceived helpful by teachers What this paper adds: Model‐based learning analytics seeks to make these systems more transparent and actionableOur review shows there is good potential that systems designed in this way would have greater impact on classroom teaching Implications for practitioners: Pedagogical‐psychological models should be an integral part of intelligent learning systems designsWe offer a taxonomy of such models and current good practices of their use as a starting point [ABSTRACT FROM AUTHOR]

Introduction: Loneliness can have a negative impact on people's physical and psychological well‐being; building social capital is a potential means of addressing this connection. Community initiatives (e.g. groups, clubs, neighbourhood activities) may be a route that enables people to build social capital to tackle loneliness. Understanding what is known, and where gaps in knowledge exist, is important for advancing research on this topic. Methods: A scoping review was undertaken to explore the question – What community initiatives, with a focus on well‐being, have been evaluated in the United Kingdom that include information about social capital and loneliness? Four databases (Medline, CINAHL, ASSIA and Embase) were searched for relevant research papers. References were screened by two researchers to identify if they met the review's inclusion criteria. Data were summarised as a narrative and in tables. Results: Five papers met the review's inclusion criteria. They all used qualitative methods. Findings suggested that social capital could be developed through creating a sense of trust, group cohesion and reciprocity among participants in the community initiatives. This connection enabled people to experience a sense of belonging and to feel they had a meaningful relationship with others, which appeared to alleviate feelings of loneliness. Conclusion: More research is warranted on the review topic, including studies that have employed quantitative or mixed methods. Clarity around definitions of social capital and loneliness in future research is required. Engagement with community initiatives can provide a formalised route to help people develop connections and counteract limitations in their social networks. However, individuals may be wary about attending community initiatives, needing support and encouragement to do so. Social prescribing link workers are one means of motivating people to access groups, events or organisations that could improve their well‐being. [ABSTRACT FROM AUTHOR]

Evidence exists regarding the impact of flourishing in individuals living with chronic pain, but there are currently no reviews which collate the literature on flourishing in adolescents living with chronic pain and their parents. Therefore, the aim of this scoping review was to map and review the current literature, to document how flourishing is defined and understood in the literature, and to identify gaps in the field. Six databases were searched (Web of Science, Medline, Embase, APA PsycNet and the Cochrane Central Register of Controlled Trials). In addition, a limited gray literature search was conducted. The resulting data were collated and reported in relation to the review questions, by examining the included papers to search for the presence of flourishing. Database searches resulted in 7326 papers after duplicate removal, with eight remaining papers being assessed for full‐text eligibility. Following full‐text screening, a final four papers were included in the review. Within the papers, flourishing was defined in relation to commonalities of benefit finding, enhanced maturity and growth, and social support. Gaps in the literature and directions for future research are considered. This review suggests that there is a dearth of knowledge and research regarding flourishing among adolescents living with chronic pain and their parents, despite aspects of flourishing identified in limited literature. This warrants further investigation. [ABSTRACT FROM AUTHOR]

Background: Working together and co‐production with public advisors have become popular among health researchers. This practice extends to doctoral researchers who involve public advisors at different stages of their research or throughout their doctoral journey. Objective: A doctoral researcher and two public advisors jointly evaluated public involvement in doctoral research. Methods: Using the established public involvement evaluation framework by Gibson and colleagues, public advisors and a doctoral researcher mapped and evaluated their experiences of public involvement in doctoral research. The four‐dimensional framework allowed the authors to reflect on (1) the strength of the public voice, (2) the number of ways in which public advisors had an opportunity to get involved, (3) whether the discussion was about the public or organisation's (doctoral researcher, university or funder) concerns and (4) if the organisation changed or resisted feedback. Results are presented in a diagrammatic and narrative way. Results: Public advisors saw themselves as having a stronger voice in doctoral research than the doctoral researcher perceived. All agreed that there existed multiple ways for public advisors to be involved. Public advisors' feedback was taken on board, but it was also limited due to restrictions of what the doctoral programme allowed. Conclusion: Public advisors ensured that the doctoral research was more relevant to the public. The ongoing involvement also shaped the doctoral researcher's thinking and views. Patient and Public Involvement: Two public advisors were involved throughout the 3 years of this doctoral research. They co‐evaluated this involvement and are co‐authors of this paper. [ABSTRACT FROM AUTHOR]

Background: Professional support in childbearing has beneficial effects on childbirth experience, interactions within the family, breastfeeding and medical outcomes. However, more knowledge is needed about prerequisites for professional support to be valuable and satisfactory during childbearing. Aim: The aim of this discourse paper is to describe and explore prerequisites for professional support that are of value for women and their families during childbearing as well as how healthcare organizations can be formed to facilitate these prerequisites. Design: Discourse paper. Methods: This discourse paper is based on our own experiences and is supported by literature and theory. Results: Well‐functioning structures and processes facilitate professional support that leads to safe, secure, calm and prepared parents with the ability to handle the challenges of childbearing and parenting. When organizing care in childbearing, prerequisites for support needs must also be considered. [ABSTRACT FROM AUTHOR]

In this study, we propose a framework for detecting topic evolutions in weighted citation networks. Citation networks are important in studying knowledge flows; however, citation network analysis has primarily focused on binary networks in which the individual citation influences of each cited paper in a citing paper are considered identical, even though not all cited papers have a significant influence on the cited publication. Accordingly, it is necessary to build and analyze a citation network comprising scholarly publications that notably impact one another, thus identifying topic evolution in a more precise manner. To measure the strength of citation influence and identify paper topics, we employ a citation influence topic model primarily based on topical inheritance between cited and citing papers. Using scholarly publications in the field of the protein p53 as a case study, we build a citation network, filter it using citation influence values, and examine the diffusion of topics not only in the field but also in the subfields of p53. [ABSTRACT FROM AUTHOR]

This article describes the bureaucratic processes required to establish and manage a single international capacity‐development project that brought together a funding council (AHRC), UK University (SOAS University of London) and universities and other research organisations in Myanmar and Ethiopia. Drawing from ethnographic critiques of the planning and audit practices employed in international development and in the UK University sector, we track the formal certification of partnership as enacted through due diligence and contracts, budgets and timeframes, and reconciliations and reporting. These practices point to pervasive assumptions about capacity transfer and the unequal basis of international research coalitions spanning the Global North and Global South. In this article, we challenge these assumptions by documenting how the allocation of capacity is constrained in hierarchies of time and space. For equitable partnership arrangements to be achieved, we recommend that capacity development be considered a long‐term exchange that flows from mutual reflection and learning from one another. [ABSTRACT FROM AUTHOR]

Rationale, aims and objectives Despite extensive evidence on the value of patient decision support interventions ( DESIs), there is no consensus on optimal DESI formats. Assessing clinicians' perceptions about DESI formats can help facilitate their adoption. The aim of this study was to assess clinicians' perceptions of DESIs formats and potential use in practice. Methods Semi-structured qualitative interviews were conducted with doctors from diverse practice areas (internal medicine, OB/ GYN, surgery, medical oncology, emergency medicine) and elicited perceptions toward patient DESIs formats (digital vs. paper) and timing of administration. Questions also elicited beliefs underlying attitudes, perceived social norms and self-efficacy for using DESIs and the feasibility of doing so. Data analysis was conducted using a thematic analysis approach. Results Participants identified strengths of both more comprehensive digital and shorter paper-based tools and thought they could complement each other. Participants consistently expressed the advantages of using DESIs outside the consultation to supplement clinical discussions about cancer decisions given the amount of information to discuss during these emotion-laden conversations. Participants felt that patients with older age and lower socio-economic status were more likely to use a paper-based compared with a digital DESI. Participants also noted challenges related to reliable resources such as computers and Internet in the practice setting, which would be necessary for implementing the digital DESIs on site. Conclusions Clinicians' perceptions and opinions about value of DESIs can vary widely across doctor, patient and clinic characteristics. A one-size-fits-all approach to implementation might not be feasible, suggesting that flexible approaches to providing decision support for patients are needed to drive broader adoption. [ABSTRACT FROM AUTHOR]

Machine learning, a branch of artificial intelligence, is increasingly used in health research, including nursing and maternal outcomes research. Machine learning algorithms are complex and involve statistics and terminology that are not common in health research. The purpose of this methods paper is to describe three machine learning algorithms in detail and provide an example of their use in maternal outcomes research. The three algorithms, classification and regression trees, least absolute shrinkage and selection operator, and random forest, may be used to understand risk groups, select variables for a model, and rank variables' contribution to an outcome, respectively. While machine learning has plenty to contribute to health research, it also has some drawbacks, and these are discussed as well. To provide an example of the different algorithms' function, they were used on a completed cross‐sectional study examining the association of oxytocin total dose exposure with primary cesarean section. The results of the algorithms are compared to what was done or found using more traditional methods. [ABSTRACT FROM AUTHOR]

Aim This study examined the outputs of research papers in diabetes from 31 European countries between 2002 and 2013, and their funding. Methods Diabetes research papers in the Web of Science were identified by means of a filter based on journals and title words. For 2009-2013 papers, the funders were coded to show their sector and nationality. Results Europe published 40 547 diabetes papers in the 12 years between 2002 and 2013. Denmark, Sweden and Finland published the most relative to their wealth, but the UK published the most absolutely despite an apparently low burden (as measured by disability-adjusted life years). The largest source of funding was government (30%), followed by the non-profit sector (18%) and industry (13%). The European Commission supported 2.7% of papers, but more in Latvia (33%) and Estonia (16%). Based on an estimated cost per paper of €260 000, the annual research expenditure in Europe was approximately €986 million in 2013. Conclusions The European diabetes burden in disability-adjusted life years increased by one third between 2002 and 2012, but its output of research papers has decreased from 44% to 36% of the world total. This decrease needs to be reviewed in the context of European non-communicable disease research policy. [ABSTRACT FROM AUTHOR]

With the wide application of keyphrases in many Information Retrieval (IR) and Natural Language Processing (NLP) tasks, automatic keyphrase prediction has been emerging. However, these statistically important phrases are contributing increasingly less to the related tasks because the end‐to‐end learning mechanism enables models to learn the important semantic information of the text directly. Similarly, keyphrases are of little help for readers to quickly grasp the paper's main idea because the relationship between the keyphrase and the paper is not explicit to readers. Therefore, we propose to generate keyphrases with specific functions for readers to bridge the semantic gap between them and the information producers, and verify the effectiveness of the keyphrase function for assisting users' comprehension with a user experiment. A controllable keyphrase generation framework (the CKPG) that uses the keyphrase function as a control code to generate categorized keyphrases is proposed and implemented based on Transformer, BART, and T5, respectively. For the Computer Science domain, the Macro‐avgs of P@5, R@5, and F1@5 on the Paper with Code dataset are up to 0.680, 0.535, and 0.558, respectively. Our experimental results indicate the effectiveness of the CKPG models. [ABSTRACT FROM AUTHOR]

Transgender individuals and their partners may face unique challenges that other couples do not. These unique challenges merit investigation, understanding and consideration by systemic practitioners in order to provide a culturally attuned service for transgender clients. A systematic review of the literature into the experiences of couples in which one member is transgender identified 22 qualitative papers. A translation and synthesis of constructs from these papers utilising a meta‐ethnographic approach generated a number of third order constructs organised into nine overarching themes. These themes included experiences of stigma and discrimination, issues of power, privilege, visibility and identity, and experiences of dissonance and dysphoria that required adjustments and negotiations on the personal and relationship levels. Implications for practice and avenues for future research are discussed. [ABSTRACT FROM AUTHOR]

ABSTRACT BACKGROUND The Healthy, Hunger-Free Kids Act of 2010 ( HHKA) required schools to make changes to meals provided to children. Rural school districts have limited resources, with increased obesity rates and local food insecurity. In this study we sought to understand the perceptions of rural food service directors and the barriers to implementing the changes. METHODS Food service directors from rural school districts were invited to complete a semistructured telephone interview and online survey. A total of 51 respondents completed both, 6 completed only the online survey, and 16 completed only the telephone interview. Qualitative interview data were analyzed through open thematic coding; descriptive statistics were calculated for the quantitative data. RESULTS Food service directors mostly perceived the changes as negative, challenging, and burdensome. They believed that the changes resulted from concern about childhood obesity, which they did not view as a problem for their students. Diverse challenges were reported related to cost, preparation, and student preference. CONCLUSIONS Food service directors in isolated, rural areas need support to enhance understanding of HHKA requirements, build professional networks to learn from one another, and communicate with students, families, and other stakeholders. Future efforts should focus on changing perceptions and supporting directors in order to make implementation a success. [ABSTRACT FROM AUTHOR]

Background: Australia's National Disability Insurance Scheme (NDIS) was launched in 2013 to provide financial support packages for people with disability to purchase supports and services to enhance independence. People with disability are required to develop a plan with the National Disability Insurance Agency (NDIA), the government department responsible for managing the NDIS. This scoping review aims to ascertain the level of research into people's experience of the NDIS planning process in these geographic areas. Methodology: Research publication databases were searched using a specific search string to identify research about people with disability and their families/carer's experiences of the NDIS planning process in regional, rural and remote regions of Australia. The Mixed Methods Appraisal Tool (MMAT) was adopted to appraise the quality of the research publications. Research publications focused on Aboriginal and Torres Strait Islander people were additionally appraised using the Aboriginal and Torres Strait Islander Quality Appraisal Tool developed by the Centre for Excellence in Aboriginal Chronic Disease Knowledge Translation and Exchange. A thematic synthesis of the publications' contents was undertaken to ascertain people with disabilities and carers experience of the NDIS planning process. Results: Ten (N = 10) research papers were found that met the inclusion criteria. Two papers were policy reviews and reported on the improvements of the NDIS planning process since its conception. The analysis found the research archive focused on five themes: (1) healthcare workforce and NDIA staff; (2) NDIS package holders and carers lack of awareness of the NDIS; (3) cultural/socio‐economic barriers; (4) travel funding; and (5) emotional burden of the NDIS planning process. Conclusion: There are limited papers available that explore people's experiences of the NDIS planning process in regional, rural and remote regions of Australia. This systematic review illuminates the difficulties, barriers and concerns of people with disability and their carers about the planning process. [ABSTRACT FROM AUTHOR]

Introduction: To contribute to addressing diagnostic health inequalities in the United Kingdom, this review aimed to investigate determinants of diagnostic service use amongst people experiencing high deprivation in the United Kingdom. Methods: A systematic review was conducted using three databases (EBSCO, Web of Science and SCOPUS) to search studies pertaining to diagnostic service use amongst people experiencing high deprivation. Search terms related to diagnostics, barriers and facilitators to access and deprivation. Articles were included if they discussed facilitators and/or barriers to diagnostic service access, contained participants' direct perspectives and focussed on individuals experiencing high deprivation in the United Kingdom. Articles were excluded if the full text was unretrievable, only abstracts were available, the research did not focus on adults experiencing high deprivation in the United Kingdom, those not including participants' direct perspectives (e.g., quantitative studies) and papers unavailable in English. Results: Of 14,717 initial papers, 18 were included in the final review. Determinants were grouped into three themes (Beliefs and Behaviours, Emotional and Psychological Factors and Practical Factors), made up of 15 sub‐themes. These were mapped to a conceptual model, which illustrates that Beliefs and Behaviours interact with Emotional and Psychological Factors to influence Motivation to access diagnostic services. Motivation then influences and is influenced by Practical Factors, resulting in a Decision to Access or Not. This decision influences Beliefs and Behaviours and/or Emotional and Psychological Factors such that the cycle begins again. Conclusion: Decision‐making regarding diagnostic service use for people experiencing high deprivation in the United Kingdom is complex. The conceptual model illustrates this complexity, as well as the mediative, interactive and iterative nature of the process. The model should be applied in policy and practice to enable understanding of the factors influencing access to diagnostic services and to design interventions that address identified determinants. Patient or Public Contribution: Consulting lived experience experts was imperative in understanding whether and how the existing literature captures the lived experience of those experiencing high deprivation in South England. The model was presented to lived experience experts, who corroborated findings, highlighted significant factors for them and introduced issues that were not identified in the review. [ABSTRACT FROM AUTHOR]

Background: Text comprehension research in relation to the reading medium showed that digital‐based reading represents a disadvantage compared with paper‐based reading. Most paper versus screen research; however, was conducted with university students. Objectives: This study investigated the contribution of reading medium to text comprehension and medium preference in beginner readers who use technology for school learning. The moderating role of text genre, word reading and medium preference on the reading medium effect on text comprehension was also analysed. Methods: First graders (N = 115; mean age = 6;8 years) read narrative and informational linear texts on paper and computer screen and answered main idea, literal and inferential comprehension questions. Medium preference questions and a word reading task were administered. Results and Conclusions: Logistic mixed models showed that the main idea and literal comprehension of narrative and informational linear texts were greater on screen and for higher word reading skills. Inferential comprehension was lower on screen at lower levels of word reading skills but became similar for the two media as word reading increased. Children had no clear medium preference and medium effect on text comprehension was independent of children's medium preference. The main results show that beginner readers who use technology for learning and are fast and accurate in word reading display no comprehension disadvantage in digital reading. Takeaways: Our results add to existing knowledge by clarifying how reading medium effects on beginner readers' text comprehension interact with factors such as fundamental reading skills and experience with technology. Lay Description: What is currently know about the subject matter: • Comprehension of informational texts is better on paper than on screen • Text comprehension is better on paper than on screen for independent readers from 4th grade onwards, even for those who prefer to read digitally. • Lower text comprehension on screen is related to shallow reading processing and navigation requirements of digital texts. • Shallow reading processing is related to the use of digital media for leisure. What the paper adds: • Comprehension of narrative and informational texts on screen is not disadvantaged in beginner readers who often use technology for school activities. • Word reading has a stronger role on inferential comprehension of digital texts with navigation requirements. • Word reading stronger role results in a screen comprehension disadvantage at lower levels of word reading skills. • Children have no clear medium preference and text comprehension on paper vs screen was independent of children's medium preference Implications of study findings for practitioners: • The use of technology for school activities may encourage deep text processing on screen. • Care should be taken when very young students with low reading skills are required to understand digital texts with navigation requirements. [ABSTRACT FROM AUTHOR]

Using a bare‐bones meta‐analysis, the present study examined the effectiveness of the use of commonly considered alternative predictor methods as a means to reduce subgroup differences (i.e., the method‐change approach), taking into account the constructs assessed. With a focus on assessment centers, interviews, situational judgment tests, and work samples as alternative methods, the results indicated that consonant with the construct/method distinction, the effectiveness of a method in reducing subgroup differences is a function of the constructs assessed. Specifically, there are larger White‐African American subgroup differences that favor Whites for cognitive constructs on paper‐and‐pencil tests compared to the alternative methods; and most notably, the opposite result was obtained for noncognitive constructs such that, compared to paper‐and‐pencil assessments, substantially larger White‐African American subgroup differences were observed for alternative methods. A similar pattern of results was obtained for White‐Hispanic comparisons, albeit based on a smaller number of data points. In summary, the study's results indicate that the ubiquitously asserted effectiveness of the method‐change approach for reducing subgroup differences is overstated, with said effectiveness depending on the construct assessed. [ABSTRACT FROM AUTHOR]

Introduction: For too many people, their care plans are designed without fully accounting for who they are, the lives they live, what matters to them or what they aspire to achieve. We aimed to summarize instruments capable of measuring dimensions of patient–clinician collaboration to make care fit. Methods: We systematically searched several databases (Medline, Embase, Cochrane, Scopus and Web of Science) from inception to September 2021 for studies using quantitative measures to assess, evaluate or rate the work of making care fit by any participant in real‐life clinical encounters. Eligibility was assessed in duplicate. After extracting all items from relevant instruments, we coded them deductively on dimensions relevant to making care fit (as presented in a recent Making Care Fit Manifesto), and inductively on the main action described. Results: We included 189 papers, mostly from North America (N = 83, 44%) and in the context of primary care (N = 54, 29%). Half of the papers (N = 88, 47%) were published in the last 5 years. We found 1243 relevant items to assess efforts of making care fit, included within 151 instruments. Most items related to the dimensions 'Patient‐clinician collaboration: content' (N = 396, 32%) and 'Patient‐clinician collaboration: manner' (N = 382, 31%) and the least related to 'Ongoing and iterative process' (N = 22, 2%) and in 'Minimally disruptive of patient lives' (N = 29, 2%). The items referred to 27 specific actions. Most items referred to 'Informing' (N = 308, 25%) and 'Exploring' (N = 93, 8%), the fewest items referred to 'Following up', 'Comforting' and 'Praising' (each N = 3, 0.2%). Discussion: Measures of the work that patients and clinicians do together to make care fit focus heavily on the content of their collaborations, particularly on exchanging information. Other dimensions and actions previously identified as crucial to making care fit are assessed infrequently or not at all. The breadth of extant measures of making care fit and the lack of appropriate measures of this key construct limit both the assessment and the successful implementation of efforts to improve patient care. Patient Contribution: Patients and caregivers from the 'Making care fit Collaborative' were involved in drafting the dimensions relevant to patient–clinician collaboration. [ABSTRACT FROM AUTHOR]

Stretch training increases the range of motion of a joint. However, to date, the mechanisms behind such a stretching effect are not well understood. An earlier meta‐analysis on several studies reported no changes in the passive properties of a muscle (i.e., muscle stiffness) following long‐term stretch training with various types of stretching (static, dynamic, and proprioceptive neuromuscular stretching). However, in recent years, an increasing number of papers have reported the effects of long‐term static stretching on muscle stiffness. The purpose of the present study was to examine the long‐term (≥2 weeks) effect of static stretching training on muscle stiffness. PubMed, Web of Science, and EBSCO published before December 28, 2022, were searched and 10 papers met the inclusion criteria for meta‐analysis. By applying a mixed‐effect model, subgroup analyses, which included comparisons of sex (male vs. mixed sex) and type of muscle stiffness assessment (calculated from the muscle‐tendon junction vs. shear modulus), were performed. Furthermore, a meta‐regression was conducted to examine the effect of total stretching duration on muscle stiffness. The result of the meta‐analysis showed a moderate decrease in muscle stiffness after 3–12 weeks of static stretch training compared to a control condition (effect size = −0.749, p < 0.001, I2 = 56.245). Subgroup analyses revealed no significant differences between sex (p = 0.131) and type of muscle stiffness assessment (p = 0.813). Moreover, there was no significant relationship between total stretching duration and muscle stiffness (p = 0.881). [ABSTRACT FROM AUTHOR]

Background: Liver disease is an increasing cause of morbidity and mortality in the United Kingdom and can be challenging to live with in the advanced stages. There has been little research exploring the healthcare experiences of UK individuals with decompensated disease when the liver cannot carry out its functions properly. A PhD research project was developed with people who have liver disease to explore care experiences in decompensated advanced liver disease. Public involvement (PI) is an essential aspect of meaningful health research, and this paper reports on the progression of our PI approach in this ongoing study. Objective: To embed PI throughout the research project to ensure that the study is meaningful to individuals with liver disease and the people who support them. Methods: The research adopts a Constructivist Grounded Theory methodology to develop a theory of care experience. Various PI approaches were considered in developing the PI strategy for this qualitative study. Initially, Embedded consultation was the preferred model, which has evolved to include aspects of collaboration and coproduction. A PI group was set up to oversee the project through the national public engagement website VOICE, and reflections on PI from three members of the group are included in this paper to illuminate the PI process. Results: Six individuals with liver disease and three carers from across the United Kingdom are part of an ongoing PI group. Their role includes commenting on the findings of the systematic literature review for this project and contributing to decisions about recruitment, data collection and data analysis. Additionally, they had a direct impact on changing the focus of the research. The PI group will continue involvement until the completion of the project. Conclusion: Successfully embedding PI into doctoral research, as demonstrated in this project, requires commitment, planning and dedication to reciprocal working for the benefit of PI contributors as well as the research. This approach could be adopted by other postgraduate researchers. Patient or Public Contribution: This project is overseen by the PI group, whose contribution is described throughout, including reflections from three PI group members. [ABSTRACT FROM AUTHOR]

Coauthorship prediction applies predictive analytics to bibliographic data to predict authors who are highly likely to be coauthors. In this study, we propose an approach for coauthorship prediction based on bibliographic network embedding through a graph‐based bibliographic data model that can be used to model common bibliographic data, including papers, terms, sources, authors, departments, research interests, universities, and countries. A real‐world dataset released by AMiner that includes more than 2 million papers, 8 million citations, and 1.7 million authors were integrated into a large bibliographic network using the proposed bibliographic data model. Translation‐based methods were applied to the entities and relationships to generate their low‐dimensional embeddings while preserving their connectivity information in the original bibliographic network. We applied machine learning algorithms to embeddings that represent the coauthorship relationships of the two authors and achieved high prediction results. The reference model, which is the combination of a network embedding size of 100, the most basic translation‐based method, and a gradient boosting method achieved an F1 score of 0.9 and even higher scores are obtainable with different embedding sizes and more advanced embedding methods. Thus, the strengths of the proposed approach lie in its customizable components under a unified framework. [ABSTRACT FROM AUTHOR]

Background: In the digital environment, users' academic reading behaviour has changed, working with many articles simultaneously to search, filter, scan, link, annotate and analyse content fragments. The semantic enhancement environment has been widely set with semantic technologies to offer additional and handy support for users and thus facilitate the reading process. Despite many efforts devoted to developing a semantic enhancement environment, less attention has been paid to its actual effects. Objectives: This study aims to explore the effects of a semantic enhancement environment. Methods: Elaborating on cognitive load theory and focusing on academic reading, this study compared users' cognitive load and reading effect under the semantic enhancement environment and plain text environment and verified the three hypotheses. Results and conclusions: Through experiments and statistical analysis, this study found that, under a semantic enhancement environment, users had their cognitive load reduced and their reading effect improved. Consequently, a semantic enhancement environment promotes academic reading. Takeaways: This study adds to previous literature on semantic publishing by empirically corroborating the conducive effects of semantic enhancement environment in academic reading. Additionally, it justifies semantic publishing and provides a reference for the future design of semantically enhanced reading environments. Lay Description: What is already known about this topic?: The effects of a semantic enhancement environment are open to discuss.Academic reading is fundamental to researches and hence needs promotion.Limited studies investigated the effects of a semantic enhancement environment on academic reading.Publishers require effective reading environment designs. What this paper adds?: This study constructed a semantic enhancement reading environment to conduct a reading experiment.The experiment tested cognitive load, by using WP scale, and reading effects, by answer time and answer score.Semantic enhancement environment reduces users' cognitive load, promotes users' reading effects, and bolsters users' understanding of academic reading materials, especially in microstructure content.The design of semantic enhancement reading environments needs to fully consider the features of reading materials and give users a controllable way of interaction. The implications of study findings for practitioners: Compared to plain text environment, semantic enhancement environment is preferred in academic reading.Publishers are encouraged to add semantic enhancements to their publications.This study discussed how to design an effective learning and reading environment from the perspectives of reading resources, media forms of resources, and interaction modes. [ABSTRACT FROM AUTHOR]

Introduction: Patient‐reported measures that assess satisfaction and experience are increasingly utilised in healthcare sectors, including the alcohol and other drug (AOD) sector. This scoping review identifies how and to what extent people accessing AOD services have been involved in the development of satisfaction and experience measures to date. Methods: PubMed, EMBASE, CINAHL, Scopus, ProQuest, Google and Google Scholar were searched. Included papers described the development and/or implementation of a multiple‐item measure of patient‐reported experience or satisfaction specifically for people accessing AOD treatment and/or harm reduction programmes. If there was more than one paper, key papers were chosen that described each measure. The method of development, including service user involvement, was assessed against a framework generated for this review. Two reviewers were involved at each stage. Results: Thirty measures—23 satisfaction and 7 experience—were identified. Sixteen measures reported some level of involvement by people accessing AOD services in their development, although, for most measures, at a relatively low level. This involvement increased over the time span of the review becoming more frequent in later years. Only four measures were developed for use in harm reduction‐specific settings, and fewer than half reported undertaking analysis of underlying scale structure and constructs. Conclusion: Several gaps could be addressed to enhance the measurement of patient‐centred care in the AOD sector, including: developing experience measures for use in harm reduction settings and across various AOD settings in a service system; improved reporting of psychometric properties of these measures and increasing commitment to the meaningful involvement of AOD service users in measure development. Patient or Public Contribution: This scoping review is part of a broader codesign project that involves a partnership between the peak organisation for AOD services and the peer‐based AOD consumer organisation in the Australian Capital Territory, Australia. These organisations are working closely together to engage with AOD service users, service providers and policy makers in this codesign project. As such, the Executive Director of the peer‐based AOD consumer organisation is involved as a co‐author of this scoping review. [ABSTRACT FROM AUTHOR]

It is important to help researchers find valuable papers from a large literature collection. To this end, many graph-based ranking algorithms have been proposed. However, most of these algorithms suffer from the problem of ranking bias. Ranking bias hurts the usefulness of a ranking algorithm because it returns a ranking list with an undesirable time distribution. This paper is a focused study on how to alleviate ranking bias by leveraging the heterogeneous network structure of the literature collection. We propose a new graph-based ranking algorithm, Mutual Rank, that integrates mutual reinforcement relationships among networks of papers, researchers, and venues to achieve a more synthetic, accurate, and less-biased ranking than previous methods. Mutual Rank provides a unified model that involves both intra- and inter-network information for ranking papers, researchers, and venues simultaneously. We use the ACL Anthology Network as the benchmark data set and construct the gold standard from computer linguistics course websites of well-known universities and two well-known textbooks. The experimental results show that Mutual Rank greatly outperforms the state-of-the-art competitors, including Page Rank, HITS, Co Rank, Future Rank, and P- Rank, in ranking papers in both improving ranking effectiveness and alleviating ranking bias. Rankings of researchers and venues by Mutual Rank are also quite reasonable. [ABSTRACT FROM AUTHOR]

Background: Using inclusive research methods with people with intellectual disabilities is increasingly common. A recent consensus statement identified key elements when conducting and reporting inclusive research with people with intellectual disabilities. This review identifies the range of health and social care research topics using inclusive research methodologies, systematically appraises the involvement of researchers with intellectual disabilities, and identifies facilitators and barriers to inclusive research. Researchers' experiences of engaging with inclusive research are synthesised. Method: Seventeen empirical studies focused upon inclusive health and social care research were identified. The associated inclusive research methodologies employed, and the stages in which researchers with intellectual disabilities were involved, along with the experiences of researchers with and without intellectual disabilities were synthesised. Results: Papers focused on a broad range of health and social care topics and largely employed qualitative or mixed‐methods designs. Researchers with intellectual disabilities were frequently involved with data collection, analysis and dissemination. Facilitators of inclusive research comprised sharing power, team working, having sufficient resources and making research methodologies accessible. Conclusions: Researchers with intellectual disabilities are involved in a wide range of methodologies and research tasks. How the added value of inclusive research is measured and its impact on outcomes, require consideration. [ABSTRACT FROM AUTHOR]

Calls for the co‐production of climate knowledge and services are increasingly prominent in research and funding proposals, including within federally funded programs. While co‐production has led to more accessible and relevant climate services for frontline communities, scholars have identified numerous barriers to equitable relationships and outcomes within co‐production partnerships. In an effort to support the development of climate services through equitable research partnerships, the Consortium for Climate Risk in the Urban Northeast, a NOAA Climate Adaptation Partnership team, collaboratively designed and launched the Community Climate Resilience (CCR) Grant competition in 2022. The CCR program serves to provide funding and build capacity among community‐based organizations (CBOs) responding to climate variability in historically disinvested communities in the urban Northeast, as well as foster co‐production partnerships between the organizations and local university‐based researchers. This paper assesses the design and implementation of the program based on data collected through a survey of research partners, discussions with key stakeholders, and observation of relevant project meetings. Despite the incorporation of lessons from similar co‐production projects, program designers found several persistent impediments to equitable partnerships, including time constraints, funding limitations, and burdensome institutional requirements. We reflect on these challenges and offer strategies for overcoming barriers to equitable partnerships, including streamlining funding pass‐through structures, increasing transparency in funding competitions, promoting flexible funding options, and fostering communities of practice among CBOs and university partners. The findings are relevant for researchers and practitioners implementing equity‐focused co‐production partnerships and small grant programs in climate services and related fields. Plain Language Summary: Knowledge and services produced collaboratively between scientists and local stakeholders have benefits for communities responding to evolving climate risks, including more accessible and relevant research. Funding agencies, including those at the federal level in the U.S., have increased requirements for co‐produced research and service development, prompting relationships between university researchers and community partners. However, co‐production partnerships are not always equitable. This paper identifies promising strategies for improving equity outcomes within co‐production relationships and small grant programs. The authors assess the design and implementation of the Community Climate Resilience (CCR) Grant competition, launched by the Consortium for Climate Risk in the Urban Northeast, a NOAA Climate Adaptation Partnership team, in 2022. While the CCR program attended to multiple dimensions of equity, the authors identified a number of impediments to equitable co‐production partnerships, including time and funding limitations and difficult institutional requirements. We suggest streamlining access to funding, increasing transparency in competition design, promoting realistic funding options, and fostering communities of practice to improve equity outcomes in similar small grant programs and co‐production relationships related to climate adaptation, resiliency, and other fields. Key Points: We identify promising approaches for equitable co‐production relationships in university‐community small grant programsWe assess equity implications of the design and implementation of a small grant program for community resilience in the urban NortheastStreamlining funding access, increasing transparency, promoting flexible spending, and fostering collaboration may improve equity outcomes [ABSTRACT FROM AUTHOR]

Background: Limited research concerning existing inequities in mental health care and support services in the United Kingdom captures perceptions and lived experiences of the significantly underrepresented Muslim population. Methods: Underpinned by social constructivist theory, we used consultation to facilitate public and patient involvement and engagement (PPIE) to identify inequities in mental health care and support experienced by Muslims from minoritised ethnic communities living in deprived areas in Liverpool, UK. The rationale was to (a) better inform standards and policies in healthcare and (b) provide a psychologically safe space to members of the Muslim community to share perceptions and experiences of mental health care and support services. To ensure trustworthiness of the data, member checking was adopted. This paper describes the procedure to achieving this consultation, including our recruitment strategy, data collection and analysis as well as key findings. Findings: Twenty‐seven consultees attended the women's consultation and eight consultees attended the men's consultation. Consultees were from Yemeni, Somali, Sudanese, Egyptian, Algerian, Pakistani and Moroccan communities and share the Islamic faith. Four key interlinked themes were identified from consultees' narratives: (1) broken cycle of trust; (2) an overmedicalised model of care; (3) community mental health prevention initiatives; and (4) culturally conscious training and education. Conclusions: The Muslim population has identified numerous barriers to accessing mental health support and there is a need to resource activities that would aid deeper understanding of mental health support needs through continuous and meaningful community initiatives. This would afford mental health practitioners and organisations opportunities for developing realistic anti‐racism strategies, effectively adopting social prescription, strengthening partnerships and collaborations aimed at supporting delivery of evidence‐based mental health care provisions to tackle mental health inequities. Patient and Public Involvement: This paper reports on the involvement and engagement of Muslims from minoritised ethnic communities living in the Liverpool city region. [ABSTRACT FROM AUTHOR]

Background: Liver disease is a growing health concern and a major cause of death. It causes multiple symptoms, including financial, psychological and social issues. To address these challenges, palliative care can support people alongside active treatment, and towards the end of life, but little is known about the care experiences of individuals with liver disease in the United Kingdom. This review aimed to explore the palliative and end‐of‐life care experiences of people with liver disease in the United Kingdom. Method: A systematic review was conducted using a five‐stage process and following Preferred Reporting Items for Systematic Reviews and Meta Analyses guidelines. Searches were across Web of Science, Scopus, EBSCO and grey literature until 10 May 2023. The review was registered through International Prospective Register of Systematic Reviews (PROSPERO). NVivo 12.5 was used to facilitate data analysis (systematic review registration: PROSPERO CRD42022382649). Results: Of 6035 papers (excluding duplicates) found from searches, five met the inclusion criteria of primary research related to adults with liver disease receiving palliative and/or end‐of‐life care in the United Kingdom, published in English. Reflexive thematic analysis of the data was conducted. The themes identified were the experiences of people with liver disease of relating to healthcare professionals, using services, receiving support, and experiences of information and communication. These were connected by an overarching concept of disempowerment versus empowerment, with the notion of person‐centred care as an important feature. Conclusion: This review has found variations in the care experiences of people with advanced liver disease towards the end of life and an overall lack of access to specialist palliative care services. Where services are designed to be person‐centred, experiences are more empowering. Further research is needed but with recognition that it is often unclear when care for people with liver disease is palliative or end‐of‐life. Patient and Public Contribution: An online public involvement workshop was held on 18 April 2023 through Voice (2023). This included four people with liver disease and four carers to discuss the review findings and to design a qualitative research study to further explore the topic. [ABSTRACT FROM AUTHOR]

Cannabis-based medicines are being approved for pain management in an increasing number of European countries. There are uncertainties and controversies on the role and appropriate use of cannabis-based medicines for the management of chronic pain. EFIC convened a European group of experts, drawn from a diverse range of basic science and relevant clinical disciplines, to prepare a position paper to empower and inform specialist and nonspecialist prescribers on appropriate use of cannabis-based medicines for chronic pain. The expert panel reviewed the available literature and harnessed the clinical experience to produce these series of recommendations. Therapy with cannabis-based medicines should only be considered by experienced clinicians as part of a multidisciplinary treatment and preferably as adjunctive medication if guideline-recommended first- and second-line therapies have not provided sufficient efficacy or tolerability. The quantity and quality of evidence are such that cannabis-based medicines may be reasonably considered for chronic neuropathic pain. For all other chronic pain conditions (cancer, non-neuropathic noncancer pain), the use of cannabis-based medicines should be regarded as an individual therapeutic trial. Realistic goals of therapy have to be defined. All patients must be kept under close clinical surveillance. As with any other medical therapy, if the treatment fails to reach the predefined goals and/or the patient is additionally burdened by an unacceptable level of adverse effects and/or there are signs of abuse and misuse of the drug by the patient, therapy with cannabis-based medicines should be terminated.Significance: This position paper provides expert recommendations for nonspecialist and specialist healthcare professionals in Europe, on the importance and the appropriate use of cannabis-based medicines as part of a multidisciplinary approach to pain management, in properly selected and supervised patients. [ABSTRACT FROM AUTHOR]

In this paper I analyse how the gradual reduction of research funds in Colombia can interrupt a key process in the generation of solutions to global urban problems. I draw on a bibliometric analysis to show that research funding flowing from North to South has created collaborations between researchers from North and South that have led to a better and more comprehensive understanding of the challenges facing cities around the world. To conclude, I propose four options to counteract these trends towards lower research funding. [ABSTRACT FROM AUTHOR]

Background: The Australian geographically rural and remote disability workforce has historically demonstrated difficulties to keep up with the demand for quality services and supports for people with disability. In 2013, the National Disability Insurance Scheme (NDIS) was launched to provide individualised disability support packages to meet people's needs. To receive funding, people with disability are required to develop a NDIS plan. That plan is then funded by the National Disability Insurance Agency (NDIA), the government agency responsible for managing the NDIS. Although the NDIS has been operating for almost 10 years, there is limited research into the planning experiences of the workforce in regional, rural and remote regions of Australia. This review aims to ascertain the level of scholarly investigation into workers' experiences of NDIS planning. Methodology: Research publication databases were searched using a specific search string to identify publications that included reference to the workforce's experiences of the NDIS planning process in regional, rural and remote regions of Australia. The Mixed Methods Appraisal Tool (MMAT) was adopted to appraise the quality of the research publications. Research publications that focused on those working with Aboriginal and Torres Strait Islander people were also appraised using the Aboriginal and Torres Strait Islander Quality Appraisal Tool developed by the Centre for Excellence in Aboriginal Chronic Disease Knowledge Translation and Exchange. A thematic synthesis of the publications was undertaken to ascertain disability and health workforce experiences of the NDIS planning process. Results: Seven papers met the selection criteria. Two papers were policy reviews and reported the improvements of the NDIS planning process since its inception. These studies reported four reoccurring themes: (1) cultural/socioeconomic and geographical factors; (2) administrative burden and bureaucracy; (3) values, culture and geography; and (4) burden on allied health workers. Conclusion: The NDIS planning process has developed and progressed since its rollout in 2013. There are limited research papers available that describe the workforce's experience of the planning process in regional, rural and remote regions. More research in this area is needed to identify the experiences of the disability workforce in relation to the NDIS planning process. [ABSTRACT FROM AUTHOR]

Background: Providing feedback in massive open online courses (MOOCs) is challenging due to the massiveness and heterogeneity of learners' population. Learning analytics (LA) solutions aim at scaling up feedback interventions and supporting instructors in this endeavour. Paper Objectives: This paper focuses on instructor‐led feedback mediated by LA tools in MOOCs. Our goal is to answer how, to what extent data‐driven feedback is provided to learners, and what its impact is. Methods: We conducted a systematic literature review on the state‐of‐the‐art LA‐informed instructor‐led feedback in MOOCs. From a pool of 227 publications, we selected 38 articles that address the topic of LA‐informed feedback in MOOCs mediated by instructors. We applied etic content analysis to the collected data. Results and Conclusions: The results revealed a lack of empirical studies exploring LA to deliver feedback, and limited attention on pedagogy to inform feedback practices. Our findings suggest the need for systematization and evaluation of feedback. Additionally, there is a need for conceptual tools to guide instructors' in the design of LA‐based feedback. Takeaways: We point out the need for systematization and evaluation of feedback. We envision that this research can support the design of LA‐based feedback, thus contributing to bridge the gap between pedagogy and data‐driven practice in MOOCs. Lay Description: What is known about this topic: Learners' scale and diversity hinder timely feedback in massive open online courses (MOOCs).Learning analytics (LA) can optimise learners' support by scaling the feedback interventions. What this paper adds: We present a literature review on LA‐based feedback in MOOCs in the last 12 years.We focused on LA approaches that support instructors in providing feedback.Results show a scarcity of empirical studies related to these LA‐based tools.Results show that limited attention is paid to pedagogical and contextual aspects. Implications of the study findings for practitioners: We address knowledge gaps related to LA‐based tools for feedback in MOOCs.There is a need of LA‐based interventions to consider the course context.There is a need to evaluate the impact of LA‐based feedback in MOOCs empirically. [ABSTRACT FROM AUTHOR]