Significant regional disparities in riverine microplastics.

Research on riverine microplastics has gradually increased, highlighting an area for further exploration: the lack of extensive, large-scale regional variations analysis due to methodological and spatiotemporal limitations. Herein, we constructed and applied a comprehensive framework for synthesizing and analyzing literature data on riverine microplastics to enable comparative research on the regional variations on a large scale. Research results showed that in 76 rivers primarily located in Asia, Europe, and North America, the microplastic abundance of surface water in Asian rivers was three times higher than that in Euro-America rivers, while sediment in Euro-American rivers was five times more microplastics than Asia rivers, indicating significant regional variations (p < 0.001). Additionally, based on the income levels of countries, rivers in lower-middle and upper-middle income countries had significantly (p < 0.001) higher abundance of microplastics in surface water compared to high-income countries, while the opposite was true for sediment. This phenomenon was preliminarily attributed to varying levels of urbanization across countries. Our proposed framework for synthesizing and analyzing microplastic literature data provides a holistic understanding of microplastic disparities in the environment, and can facilitate broader discussions on management and mitigation strategies.

An Overview of How to Search and Write a Medical Literature Review.

Without a literature review, there can be no research project. Literature reviews are necessary to learn what is known (and not known) about a topic of interest. In the respiratory care profession, the body of research is enormous, so a method to search the medical literature efficiently is needed. Selecting the correct databases, use of Boolean logic operators, and consultations with librarians are used to optimize searches. For a narrow and precise search, use PubMed, MEDLINE, Ovid, EBSCO, the Cochrane Library, or Google Scholar. Reference management tools assist with organizing the evidence found from the search. Analyzing the search results and writing the review provides an understanding of why the research question is important and its meaning. Spending time in reviewing published literature reviews can serve as a guide or model for understanding the components and style of a well-written literature review.

Strengthening open disclosure after incidents in maternity care: a realist synthesis of international research evidence.

BACKGROUND: Open Disclosure (OD) is open and timely communication about harmful events arising from health care with those affected. It is an entitlement of service-users and an aspect of their recovery, as well as an important dimension of service safety improvement. Recently, OD in maternity care in the English National Health Service has become a pressing public issue, with policymakers promoting multiple interventions to manage the financial and reputational costs of communication failures. There is limited research to understand how OD works and its effects in different contexts. METHODS: Realist literature screening, data extraction, and retroductive theorisation involving two advisory stakeholder groups. Data relevant to families, clinicians, and services were mapped to theorise the relationships between contexts, mechanisms, and outcomes. From these maps, key aspects for successful OD were identified. RESULTS: After realist quality appraisal, 38 documents were included in the synthesis (22 academic, 2 training guidance, and 14 policy report). 135 explanatory accounts were identified from the included documents (with n = 41 relevant to families; n = 37 relevant to staff; and n = 37 relevant to services). These were theorised as five key mechanism sets: (a) meaningful acknowledgement of harm, (b) opportunity for family involvement in reviews and investigations, (c) possibilities for families and staff to make sense of what happened, (d) specialist skills and psychological safety of clinicians, and (e) families and staff knowing that improvements are happening. Three key contextual factors were identified: (a) the configuration of the incident (how and when identified and classified as more or less severe); (b) national or state drivers, such as polices, regulations, and schemes, designed to promote OD; and (c) the organisational context within which these these drivers are recieived and negotiated. CONCLUSIONS: This is the first review to theorise how OD works, for whom, in what circumstances, and why. We identify and examine from the secondary data the five key mechanisms for successful OD and the three contextual factors that influence this. The next study stage will use interview and ethnographic data to test, deepen, or overturn our five hypothesised programme theories to explain what is required to strengthen OD in maternity services.

Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness.

BACKGROUND: In the past decade, there has been substantial progress in the development of robotic controllers that specify how lower-limb exoskeletons should interact with brain-injured patients. However, it is still an open question which exoskeleton control strategies can more effectively stimulate motor function recovery. In this review, we aim to complement previous literature surveys on the topic of exoskeleton control for gait rehabilitation by: (1) providing an updated structured framework of current control strategies, (2) analyzing the methodology of clinical validations used in the robotic interventions, and (3) reporting the potential relation between control strategies and clinical outcomes. METHODS: Four databases were searched using database-specific search terms from January 2000 to September 2020. We identified 1648 articles, of which 159 were included and evaluated in full-text. We included studies that clinically evaluated the effectiveness of the exoskeleton on impaired participants, and which clearly explained or referenced the implemented control strategy. RESULTS: (1) We found that assistive control (100% of exoskeletons) that followed rule-based algorithms (72%) based on ground reaction force thresholds (63%) in conjunction with trajectory-tracking control (97%) were the most implemented control strategies. Only 14% of the exoskeletons implemented adaptive control strategies. (2) Regarding the clinical validations used in the robotic interventions, we found high variability on the experimental protocols and outcome metrics selected. (3) With high grade of evidence and a moderate number of participants (N = 19), assistive control strategies that implemented a combination of trajectory-tracking and compliant control showed the highest clinical effectiveness for acute stroke. However, they also required the longest training time. With high grade of evidence and low number of participants (N = 8), assistive control strategies that followed a threshold-based algorithm with EMG as gait detection metric and control signal provided the highest improvements with the lowest training intensities for subacute stroke. Finally, with high grade of evidence and a moderate number of participants (N = 19), assistive control strategies that implemented adaptive oscillator algorithms together with trajectory-tracking control resulted in the highest improvements with reduced training intensities for individuals with chronic stroke. CONCLUSIONS: Despite the efforts to develop novel and more effective controllers for exoskeleton-based gait neurorehabilitation, the current level of evidence on the effectiveness of the different control strategies on clinical outcomes is still low. There is a clear lack of standardization in the experimental protocols leading to high levels of heterogeneity. Standardized comparisons among control strategies analyzing the relation between control parameters and biomechanical metrics will fill this gap to better guide future technical developments. It is still an open question whether controllers that provide an on-line adaptation of the control parameters based on key biomechanical descriptors associated to the patients' specific pathology outperform current control strategies.

Digital Twins for Managing Health Care Systems: Rapid Literature Review.

BACKGROUND: Although most digital twin (DT) applications for health care have emerged in precision medicine, DTs can potentially support the overall health care process. DTs (twinned systems, processes, and products) can be used to optimize flows, improve performance, improve health outcomes, and improve the experiences of patients, doctors, and other stakeholders with minimal risk. OBJECTIVE: This paper aims to review applications of DT systems, products, and processes as well as analyze the potential of these applications for improving health care management and the challenges associated with this emerging technology. METHODS: We performed a rapid review of the literature and reported available studies on DTs and their applications in health care management. We searched 5 databases for studies published between January 2002 and January 2022 and included peer-reviewed studies written in English. We excluded studies reporting DT usage to support health care practice (organ transplant, precision medicine, etc). Studies were analyzed based on their contribution toward DT technology to improve user experience in health care from human factors and systems engineering perspectives, accounting for the type of impact (product, process, or performance/system level). Challenges related to the adoption of DTs were also summarized. RESULTS: The DT-related studies aimed at managing health care systems have been growing over time from 0 studies in 2002 to 17 in 2022, with 7 published in 2021 (N=17 studies). The findings reported on applications categorized by DT type (system: n=8; process: n=5; product: n=4) and their contributions or functions. We identified 4 main functions of DTs in health care management including safety management (n=3), information management (n=2), health management and well-being promotion (n=3), and operational control (n=9). DTs used in health care systems management have the potential to avoid unintended or unexpected harm to people during the provision of health care processes. They also can help identify crisis-related threats to a system and control the impacts. In addition, DTs ensure privacy, security, and real-time information access to all stakeholders. Furthermore, they are beneficial in empowering self-care abilities by enabling health management practices and providing high system efficiency levels by ensuring that health care facilities run smoothly and offer high-quality care to every patient. CONCLUSIONS: The use of DTs for health care systems management is an emerging topic. This can be seen in the limited literature supporting this technology. However, DTs are increasingly being used to ensure patient safety and well-being in an organized system. Thus, further studies aiming to address the challenges of health care systems challenges and improve their performance should investigate the potential of DT technology. In addition, such technologies should embed human factors and ergonomics principles to ensure better design and more successful impact on patient and doctor experiences.

Past and future uses of text mining in ecology and evolution.

Ecology and evolutionary biology, like other scientific fields, are experiencing an exponential growth of academic manuscripts. As domain knowledge accumulates, scientists will need new computational approaches for identifying relevant literature to read and include in formal literature reviews and meta-analyses. Importantly, these approaches can also facilitate automated, large-scale data synthesis tasks and build structured databases from the information in the texts of primary journal articles, books, grey literature, and websites. The increasing availability of digital text, computational resources, and machine-learning based language models have led to a revolution in text analysis and natural language processing (NLP) in recent years. NLP has been widely adopted across the biomedical sciences but is rarely used in ecology and evolutionary biology. Applying computational tools from text mining and NLP will increase the efficiency of data synthesis, improve the reproducibility of literature reviews, formalize analyses of research biases and knowledge gaps, and promote data-driven discovery of patterns across ecology and evolutionary biology. Here we present recent use cases from ecology and evolution, and discuss future applications, limitations and ethical issues.

Usability-In-Place-Remote Usability Testing Methods for Homebound Older Adults: Rapid Literature Review.

BACKGROUND: Technology can benefit older adults in many ways, including by facilitating remote access to services, communication, and socialization for convenience or out of necessity when individuals are homebound. As people, especially older adults, self-quarantined and sheltered in place during the COVID-19 pandemic, the importance of usability-in-place became clear. To understand the remote use of technology in an ecologically valid manner, researchers and others must be able to test usability remotely. OBJECTIVE: Our objective was to review practical approaches for and findings about remote usability testing, particularly remote usability testing with older adults. METHODS: We performed a rapid review of the literature and reported on available methods, their advantages and disadvantages, and practical recommendations. This review also reported recommendations for usability testing with older adults from the literature. RESULTS: Critically, we identified a gap in the literature-a lack of remote usability testing methods, tools, and strategies for older adults, despite this population's increased remote technology use and needs (eg, due to disability or technology experience). We summarized existing remote usability methods that were found in the literature as well as guidelines that are available for conducting in-person usability testing with older adults. CONCLUSIONS: We call on the human factors research and practice community to address this gap to better support older adults and other homebound or mobility-restricted individuals.

COVID-19 related interdisciplinary methods: Preventing errors and detecting research opportunities.

More than 130,000 peer-reviewed studies have been published within one year after COVID-19 emerged in many countries. This large and rapidly growing field may overwhelm the synthesizing abilities of both researchers and policy-makers. To provide a sinopsis, prevent errors, and detect cognitive gaps that may require interdisciplinary research methods, the literature on COVID-19 is summarized, twice. The overall purpose of this study is to generate a dialogue meant to explain the genesis of and/or find remedies for omissions and contradictions. The first review starts in Biology and ends in Policy. Policy is chosen as a destination because it is the setting where cognitive integration must occur. The second review follows the opposite path: it begins with stated policies on COVID-19 and then their assumptions and disciplinary relationships are identified. The purpose of this interdisciplinary method on methods is to yield a relational and explanatory view of the field -one strategy likely to be incomplete but usable when large bodies of literature need to be rapidly summarized. These reviews identify nine inter-related problems, research needs, or omissions, namely: (1) nation-wide, geo-referenced, epidemiological data collection systems (open to and monitored by the public); (2) metrics meant to detect non-symptomatic cases -e.g., test positivity-; (3) cost-benefit oriented methods, which should demonstrate they detect silent viral spreaders even with limited testing; (4) new personalized tests that inform on biological functions and disease correlates, such as cell-mediated immunity, co-morbidities, and immuno-suppression; (5) factors that influence vaccine effectiveness; (6) economic predictions that consider the long-term consequences likely to follow epidemics that growth exponentially; (7) the errors induced by self-limiting and/or implausible paradigms, such as binary and reductionist approaches; (8) new governance models that emphasize problem-solving skills, social participation, and the use of scientific knowledge; and (9) new educational programs that utilize visual aids and audience-specific communication strategies. The analysis indicates that, to optimally address these problems, disciplinary and social integration is needed. By asking what is/are the potential cause(s) and consequence(s) of each issue, this methodology generates visualizations that reveal possible relationships as well as omissions and contradictions. While inherently limited in scope and likely to become obsolete, these shortcomings are avoided when this 'method on methods' is frequently practiced. Open-ended, inter-/trans-disciplinary perspectives and broad social participation may help researchers and citizens to construct, de-construct, and re-construct COVID-19 related research.

Evidence-Based Decision-Making 2: Systematic Reviews and Meta-Analysis.

The number of studies published in the biomedical literature has dramatically increased over the last few decades. This massive proliferation of literature makes clinical medicine increasingly complex, and information from multiple studies is often needed to inform a particular clinical decision. However, available studies often vary in their design, methodological quality, and population studied, and may define the research question of interest quite differently. This can make it challenging to synthesize the conclusions of multiple studies. In addition, since even highly cited trials may be challenged over time, clinical decision-making requires ongoing reconciliation of studies which provide different answers to the same question. Because it is often impractical for readers to track down and review all the primary studies, systematic reviews and meta-analyses are an important source of evidence on the diagnosis, prognosis and treatment of any given disease. This chapter summarizes methods for conducting and reading systematic reviews and meta-analyses, as well as describes potential advantages and disadvantages of these publications.

Effect of robotic-assisted gait training on objective biomechanical measures of gait in persons post-stroke: a systematic review and meta-analysis.

BACKGROUND: Robotic-Assisted Gait Training (RAGT) may enable high-intensive and task-specific gait training post-stroke. The effect of RAGT on gait movement patterns has however not been comprehensively reviewed. The purpose of this review was to summarize the evidence for potentially superior effects of RAGT on biomechanical measures of gait post-stroke when compared with non-robotic gait training alone. METHODS: Nine databases were searched using database-specific search terms from their inception until January 2021. We included randomized controlled trials investigating the effects of RAGT (e.g., using exoskeletons or end-effectors) on spatiotemporal, kinematic and kinetic parameters among adults suffering from any stage of stroke. Screening, data extraction and judgement of risk of bias (using the Cochrane Risk of bias 2 tool) were performed by 2-3 independent reviewers. The Grading of Recommendations Assessment Development and Evaluation (GRADE) criteria were used to evaluate the certainty of evidence for the biomechanical gait measures of interest. RESULTS: Thirteen studies including a total of 412 individuals (mean age: 52-69 years; 264 males) met eligibility criteria and were included. RAGT was employed either as monotherapy or in combination with other therapies in a subacute or chronic phase post-stroke. The included studies showed a high risk of bias (n = 6), some concerns (n = 6) or a low risk of bias (n = 1). Meta-analyses using a random-effects model for gait speed, cadence, step length (non-affected side) and spatial asymmetry revealed no significant differences between the RAGT and comparator groups, while stride length (mean difference [MD] 2.86 cm), step length (affected side; MD 2.67 cm) and temporal asymmetry calculated in ratio-values (MD 0.09) improved slightly more in the RAGT groups. There were serious weaknesses with almost all GRADE domains (risk of bias, consistency, directness, or precision of the findings) for the included outcome measures (spatiotemporal and kinematic gait parameters). Kinetic parameters were not reported at all. CONCLUSION: There were few relevant studies and the review synthesis revealed a very low certainty in current evidence for employing RAGT to improve gait biomechanics post-stroke. Further high-quality, robust clinical trials on RAGT that complement clinical data with biomechanical data are thus warranted to disentangle the potential effects of such interventions on gait biomechanics post-stroke.

Scaling Beyond Early Adopters: a Content Analysis of Literature and Key Informant Perspectives.

BACKGROUND: Innovations and improvements in care delivery are often not spread across all settings that would benefit from their uptake. Scale-up and spread efforts are deliberate efforts to increase the impact of innovations successfully tested in pilot projects so as to benefit more people. The final stages of scale-up and spread initiatives must contend with reaching hard-to-engage sites. OBJECTIVE: To describe the process of scale-up and spread initiatives, with a focus on hard-to-engage sites and strategies to approach them. DESIGN: Qualitative content analysis of systematically identified literature and key informant interviews. PARTICIPANTS: Leads from large magnitude scale-up and spread projects. APPROACH: We conducted a systematic literature search on large magnitude scale-up and spread and interviews with eight project leads, who shared their perspectives on strategies to scale-up and spread clinical and administrative practices across healthcare systems, focusing on hard-to-engage sites. We synthesized these data using content analysis. KEY RESULTS: Searches identified 1919 titles, of which 52 articles were included. Thirty-four discussed general scale-up and spread strategies, 11 described hard-to-engage sites, and 7 discussed strategies for hard-to-engage sites. These included publications were combined with interview findings to describe a fourth phase of the national scale-up and spread process, common challenges for spreading to hard-to-engage sites, and potential benefits of working with hard-to-engage sites, as well as useful strategies for working with hard-to-engage sites. CONCLUSIONS: We identified scant published evidence that describes strategies for reaching hard-to-engage sites. The sparse data we identified aligned with key informant accounts. Future work could focus on better documentation of the later stages of spread efforts, including specific tailoring of approaches and strategies used with hard-to-engage sites. Spread efforts should include a "flexible, tailored approach" for this highly variable group, especially as implementation science is looking to expand its impact in routine care settings.

Development of an online tool for linking behavior change techniques and mechanisms of action based on triangulation of findings from literature synthesis and expert consensus.

Researchers, practitioners, and policymakers develop interventions to change behavior based on their understanding of how behavior change techniques (BCTs) impact the determinants of behavior. A transparent, systematic, and accessible method of linking BCTs with the processes through which they change behavior (i.e., their mechanisms of action [MoAs]) would advance the understanding of intervention effects and improve theory and intervention development. The purpose of this study is to triangulate evidence for hypothesized BCT-MoA links obtained in two previous studies and present the results in an interactive, online tool. Two previous studies generated evidence on links between 56 BCTs and 26 MoAs based on their frequency in literature synthesis and on expert consensus. Concordance between the findings of the two studies was examined using multilevel modeling. Uncertainties and differences between the two studies were reconciled by 16 behavior change experts using consensus development methods. The resulting evidence was used to generate an online tool. The two studies showed concordance for 25 of the 26 MoAs and agreement for 37 links and for 460 "nonlinks." A further 55 links were resolved by consensus (total of 92 [37 + 55] hypothesized BCT-MoA links). Full data on 1,456 possible links was incorporated into the online interactive Theory and Technique Tool (https://theoryandtechniquetool.humanbehaviourchange.org/). This triangulation of two distinct sources of evidence provides guidance on how BCTs may affect the mechanisms that change behavior and is available as a resource for behavior change intervention designers, researchers and theorists, supporting intervention design, research synthesis, and collaborative research.

Evaluation and Effectiveness of Dementia Staff Training Programs in General Hospital Settings: A Narrative Synthesis with Holton's Three-Level Model Applied.

BACKGROUND: People with Dementia (PwD) are frequently admitted to hospital settings. The lack of proper dementia knowledge, poor communication skills, negative attitudes toward dementia, and lack of confidence affects the quality of care, thus development of dementia trainings has increased. Nevertheless, literature regarding the effectiveness of training implementation is limited. OBJECTIVE: The aim of this narrative synthesis is to 1) identify the characteristics of training programs and 2) explore the effectiveness of these training programs in everyday clinical practice. METHODS: A systematic search in PubMed, PsycINFO, CINAHL, and Cochrane was conducted, including qualitative and quantitative peer-reviewed studies. Holton's evaluation model with its three outcome levels (learning, individual performance, and organizational results) was adopted. 14 studies were included. RESULTS: The synthesis of the results was divided into two parts: 1) to describe the characteristics and content of trainings 2) to evaluate the effectiveness of training programs according to the three outcome levels of Holton's model, taking into consideration its construct domains: ability, motivation, and environment. Learning outcomes were assessed in all selected studies: 13 studies observed changes in individual performance, four studies reported changes within the organizational level, and only five showed sustainable changes over time. CONCLUSION: Person-centered care (PCC) approaches, interactive and varied teaching methods, supporting conditions like champions, action plans, and setting care policies, are all characteristics of effective trainings. Successful programs should be sustainable over time, demonstrating positive outcomes across the organization. Based on current findings, there is a lack of adequate evaluation with regard to training programs on the organizational level.

Introducing our series: research synthesis and meta-research in biology.

Research synthesis is the process of bringing together findings and attributes from different publications, for example, to give a more complete description of phenomena than is usually possible in a single work. We bring the Research Synthesis Series to BMC Biology to promote meta-analyses, other research syntheses including meta-research studies, and research synthesis methodologies in biology, facilitating their dissemination to broader communities.

Provider and LGBT Individuals' Perspectives on LGBT Issues in Long-Term Care: A Systematic Review.

BACKGROUND AND OBJECTIVES: Discrimination toward the lesbian, gay, bisexual and transgender (LGBT) population has raised concerns about the type of long-term services and supports (LTSS) that will be available to them as they age. To understand the unique needs of aging LGBT populations, we sought to synthesize and critique the evidence related to LTSS providers and LGBT individuals' perspectives of LGBT issues in LTSS in the United States. RESEARCH DESIGN AND METHODS: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, a systematic review of the literature was conducted. The Crowe Critical Appraisal Tool was used to appraise the quality of the included studies. RESULTS: Nineteen studies met inclusion criteria. Seven studies that examined the perspectives of LTSS providers identified two themes, including that they lack knowledge and training on LGBT health issues and generally report negative attitudes toward same-sex relations among older adults. In addition, 12 studies that examined the perspectives of LGBT individuals found that they (i) are concerned about LTSS planning, (ii) fear discrimination from providers in LTSS, and (iii) identify several strategies for improving care of LGBT older adults receiving LTSS. DISCUSSION AND IMPLICATIONS: This systematic review highlights the importance for LTSS providers to receive training in LGBT health and be reflective of potential biases toward the LGBT population. LGBT individuals identified concerns related to LTSS planning and fear of discrimination from LTSS providers. LGBT individuals also identified a need for increased training of providers to improve the care of LGBT older adults in LTSS.

What works in delivering dementia education or training to hospital staff? A critical synthesis of the evidence.

BACKGROUND: The quality of care delivered to people with dementia in hospital settings is of international concern. People with dementia occupy up to one quarter of acute hospital beds, however, staff working in hospitals report lack of knowledge and skills in caring for this group. There is limited evidence about the most effective approaches to training hospital staff on dementia. OBJECTIVE: The purpose of this literature review was to examine published evidence on the most effective approaches to dementia training and education for hospital staff. DESIGN AND REVIEW METHODS: The review was conducted using critical synthesis and included qualitative, quantitative and mixed/multi- methods studies. Kirkpatrick's four level model for the evaluation of training interventions was adopted to structure the review. DATA SOURCES: The following databases were searched: MEDLINE, PsycINFO, CINAHL, AMED, British Education Index, Education Abstracts, ERIC (EbscoHost), The Cochrane Library-Cochrane reviews, Economic evaluations, CENTRAL (Wiley), HMIC (Ovid), ASSIA, IBSS (Proquest), Conference Proceedings Citation Indexes (Web of Science), using a combination of keyword for the following themes: Dementia/Alzheimer's, training/education, staff knowledge and patient outcomes. RESULTS: A total of 20 papers were included in the review, the majority of which were low or medium quality, impacting on generalisability. The 16 different training programmes evaluated in the studies varied in terms of duration and mode of delivery, although most employed face-to-face didactic techniques. Studies predominantly reported on reactions to training and knowledge, only one study evaluated outcomes across all of the levels of the Kirkpatrick model. Key features of training that appeared to be more acceptable and effective were identified related to training content, delivery methods, practicalities, duration and support for implementation. CONCLUSIONS: The review methodology enabled inclusion of a broad range of studies and permitted common features of successful programmes to be identified. Such features may be used in the design of future dementia training programmes, to increase their potential for effectiveness. Further research on the features of effective dementia training for hospital staff is required.