Scientific Quality Research Articles

Evidence-based scientific thinking and decision-making in everyday life.

In today's knowledge economy, it is critical to make decisions based on high-quality evidence. Science-related decision-making is thought to rely on a complex interplay of reasoning skills, cognitive styles, attitudes, and motivations toward information. By investigating the relationship between individual differences and behaviors related to evidence-based decision-making, our aim was to better understand how adults engage with scientific information in everyday life. First, we used a data-driven exploratory approach to identify four latent factors in a large set of measures related to cognitive skills and epistemic attitudes. The resulting structure suggests that key factors include curiosity and positive attitudes toward science, prosociality, cognitive skills, and openmindedness to new information. Second, we investigated whether these factors predicted behavior in a naturalistic decision-making task. In the task, participants were introduced to a real science-related petition and were asked to read six online articles related to the petition, which varied in scientific quality, while deciding how to vote. We demonstrate that curiosity and positive science attitudes, cognitive flexibility, prosociality and emotional states, were related to engaging with information and discernment of evidence reliability. We further found that that social authority is a powerful cue for source credibility, even above the actual quality and relevance of the sources. Our results highlight that individual motivating factors toward information engagement, like curiosity, and social factors such as social authority are important drivers of how adults judge the credibility of everyday sources of scientific information.

Community-engaged artificial intelligence research: A scoping review.

The degree to which artificial intelligence healthcare research is informed by data and stakeholders from community settings has not been previously described. As communities are the principal location of healthcare delivery, engaging them could represent an important opportunity to improve scientific quality. This scoping review systematically maps what is known and unknown about community-engaged artificial intelligence research and identifies opportunities to optimize the generalizability of these applications through involvement of community stakeholders and data throughout model development, validation, and implementation. Embase, PubMed, and MEDLINE databases were searched for articles describing artificial intelligence or machine learning healthcare applications with community involvement in model development, validation, or implementation. Model architecture and performance, the nature of community engagement, and barriers or facilitators to community engagement were reported according to PRISMA extension for Scoping Reviews guidelines. Of approximately 10,880 articles describing artificial intelligence healthcare applications, 21 (0.2%) described community involvement. All articles derived data from community settings, most commonly by leveraging existing datasets and sources that included community subjects, and often bolstered by internet-based data acquisition and subject recruitment. Only one article described inclusion of community stakeholders in designing an application-a natural language processing model that detected cases of likely child abuse with 90% accuracy using harmonized electronic health record notes from both hospital and community practice settings. The primary barrier to including community-derived data was small sample sizes, which may have affected 11 of the 21 studies (53%), introducing substantial risk for overfitting that threatens generalizability. Community engagement in artificial intelligence healthcare application development, validation, or implementation is rare. As healthcare delivery occurs primarily in community settings, investigators should consider engaging community stakeholders in user-centered design, usability, and clinical implementation studies to optimize generalizability.

Improving the Quality of Hospital Services Through the Integration of Servqual, Kano, and Two Iterations of Quality Function Deployment (QFD)

Purpose – This research focuses on the problem of decreasing the number of private hospital visits, one of the causes of which is patient dissatisfaction with the healthcare services provided. This research aims to design recommendations for improving the quality of a hospital's health services based on the perceived needs of patients so that it is hoped that patient satisfaction can be achieved well. Methodology/approach – The literature review defines service quality and patient requirements in this research. Servqual and Kano questionnaires are used in this research, with 150 patients as respondents. After the quantitative data has been obtained and analyzed, the next step is to collect qualitative data by conducting interviews with health service management experts. By using QFD analysis, the relations between patient requirements and service characteristics are obtained. Targeted health service criteria will be chosen to be used as recommendations to improve hospital services. Findings – Some patient requirements are not optimally fulfilled by the hospital. Service characteristics and service critical parts are prioritized for the recommendation in improving the hospital health services. Novelty/value – The research combines scientific disciplines marketing, namely Service Quality (Servqual) and scientific disciplines operations management, namely Kano and Quality Function Deployment (QFD) first iteration (House of Quality) and second iteration (Part Deployment), with the hospital’s health service as the research object. The integration can be used in other service companies, especially in health services.

A scoping review of out-of-hospital research in Ireland from 2000 to 2022

A key component to the continued development of any profession is a strong research culture. For paramedicine, a research culture that acknowledges the uniqueness of the out-of-hospital setting allows clinical practice to develop. Recent international publications investigating paramedicine research outputs demonstrated that Ireland was not strongly represented in the production of paramedicine-based research. The aim of this scoping review was to identify and evaluate the quantity and quality of the research published to date in the Irish out-of-hospital literature, and to identify research gaps that may need to be addressed. A scoping review was conducted using the Joanna Briggs Institute guidance. All studies that reported on out-of-hospital care in the Republic of Ireland were included. MEDLINE, CINAHL, EMBASE, Cochrane Library, and grey literature sources were searched from 2000 until 2022 for relevant articles in March 2023. Key authors were contacted to identify missing articles and data were extracted to present the final publication yield. Scientific quality was assessed using Clarivate Average Journal Impact Factor Percentiles. Over 3200 research outputs were identified from the databases with a final yield of 294 research outputs included in this review. Research outputs were identified for most years included in the review period, with outputs published in a large range of journals. Research heavily focused on areas linked to the Clinical Practice Guidelines, and predominantly used quantitative data collection methods. Most authors identified in this review were named on only one output. However, diversification in research topics and methodologies, a concerted effort to ensure practitioners are leading research and support to ensure that conference presentations are continued to peer-reviewed publication would strengthen this resolve.

Holistic evaluation of a machine learning-based timing calibration for PET detectors under varying data sparsity

Objective. Modern PET scanners offer precise TOF information, improving the SNR of the reconstructed images. Timing calibrations are performed to reduce the worsening effects of the system components and provide valuable TOF information. Traditional calibration procedures often provide static or linear corrections, with the drawback that higher-order skews or event-to-event corrections are not addressed. Novel research demonstrated significant improvements in the reachable timing resolutions when combining conventional calibration approaches with machine learning, with the disadvantage of extensive calibration times infeasible for a clinical application. In this work, we made the first steps towards an in-system application and analyzed the effects of varying data sparsity on a machine learning timing calibration, aiming to accelerate the calibration time. Furthermore, we demonstrated the versatility of our calibration concept by applying the procedure for the first time to analog readout technology. Approach. We modified experimentally acquired calibration data used for training regarding their statistical and spatial sparsity, mimicking reduced measurement time and variability of the training data. Trained models were tested on unseen test data, characterized by fine spatial sampling and rich statistics. In total, 80 decision tree models with the same hyperparameter settings, were trained and holistically evaluated regarding data scientific, physics-based, and PET-based quality criteria. Main results. The calibration procedure can be heavily reduced from several days to some minutes without sacrificing quality and still significantly improving the timing resolution from (304±5)ps to (216±1)ps compared to conventionally used analytical calibration methods.Significance. This work serves as the first step in making the developed machine learning-based calibration suitable for an in-system application to profit from the method’s capabilities on the system level. Furthermore, this work demonstrates the functionality of the methodology on detectors using analog readout technology. The proposed holistic evaluation criteria here serve as a guideline for future evaluations of machine learning-based calibration approaches.

Community-Based Interventions in People with Palliative Care Needs: An Integrative Review of Studies from 2017 to 2022.

To describe the latest scientific evidence regarding community-based interventions performed on patients in need of palliative care worldwide. Given the rise of chronic diseases, their complexities and the fragility of patients, we are facing around 56.8 million people in need of palliative care. Community-based healthcare, particularly palliative care, can address social inequalities and improve the biopsychosocial health of disadvantaged populations. Therefore, primary care, as the main health referent in the community, has a central role in the care of these patients. This is an integrative review from January 2017 to June 2022 that follows the PRISMA statement and has been registered in PROSPERO. PubMed, Cuiden, the Web of Science (WoS), Cochrane and LILACS were the five databases searched. The scientific quality assessment of the articles was carried out following the CASPe methodology. Study selection was carried out by two researchers, A.V.L. and J.M.C.T., using the inclusion and exclusion criteria mentioned below. In cases of doubt or discrepancy, a third author (J.R.S.) was consulted. The interventions mentioned in the 16 articles analysed were classified under the following categories: music therapy, laughter therapy, spiritual and cognitive interventions, aromatherapy, interdisciplinary and community-based teams, advance care planning and community, volunteering, telemedicine and care mapping. Educating people to talk about different ethical issues could improve their quality of life and help develop more compassionate cities. We have identified interventions that are easily accessible (laughter therapy, telemedicine or music therapy), simple enough to be carried out at the community level and do not incur high costs. This is why they are recommended for people with palliative care needs in order to improve their quality of life.

A critical appraisal of the WHO 2024 systematic review of the effects of RF-EMF exposure on tinnitus, migraine/headache, and non-specific symptoms

Abstract The World Health Organization (WHO) in 2012 initiated an expert consultation about research on the health effects of radio-frequency electromagnetic fields (RF-EMF) for a WHO monograph that was last updated in 1993. The project was abandoned over concerns about the quality of the commissioned review papers. The WHO restarted the project in 2019 by commissioning 10 systematic reviews (SRs) of the research on RF-EMF exposure and adverse biological and health outcomes in laboratory animals, cell cultures, and human populations. The second of these SRs, published in 2024, addresses human observational studies of RF-EMF exposure and non-specific symptoms, including tinnitus, migraine/headache, and sleep disturbance. The present commentary is a critical appraisal of the scientific quality of this SR (SR7) employing criteria developed by the Oxford Centre for Evidence-Based Medicine. Based upon our review, we call for a retraction of SR7 and an impartial investigation by unconflicted experts of the currently available evidence and future research priorities.

Establishment and analysis of quality index system for pediatric tumor nursing.

Nursing management considers nursing quality management at its core. Evaluation indexes of nursing quality not only control nursing quality, measure work enthusiasm, and judge the difference in nursing levels but also help nurses accurately understand the satisfaction degree of patients. To analyze pediatric tumor nursing quality evaluation indexes and establish a scientific and rigorous index system of children's nursing quality. Based on the "structure-process-result" in this study, the Delphi method was used to carry out questionnaire investigations and opinion collection for domestic experts in pediatrics, pediatric oncology internal medicine, and pediatric oncology surgical care and clinical aspects two times. In addition, the Kendall coordination coefficient and analytic hierarchy process were used to determine the content of indicators at all levels, set the weight, and finally establish the quality index system of pediatric tumor nursing. The response rate of 27 experts in the first round of the questionnaire was 100%, Ca0.77, Cs,0.73, Cr0.75, and the W value of the expert coordination coefficient was 0.315. In the second round of 27 expert consultations, the reply rate was 96%, Ca0.81, Cs0.80, Cr0.805, and the specialist coordination coefficient W value was 0.369. After two rounds of consultation, the importance evaluation scores of each indicator ranged from 3.31 to 4.88 and 3.29 to 5.00, respectively, and more than 94.7% of the indicators' importance evaluation scores were higher than 3.50. Finally, 3 Level-1 indicators, 12 Level-2 indicators, and 54 Level-3 indicators are established. This study has established a simple, comprehensive, and scientific quality index system for pediatric tumor nursing, highlighted the characteristics of pediatric tumor nursing, and provided an evaluation system for specialized nursing of pediatric tumors to more standardized pediatric tumor nursing and contribute to the sustainable and scientific development of pediatric tumor nursing.

The Evolution of Science and Regulation of Dietary Supplements: Past, Present, and Future

Dietary supplement use in the United States is widespread and increasing, especially among certain population groups, such as older Americans. The science surrounding dietary supplements has evolved substantially over the last few decades since their formal regulation in 1994. Much has been learned about the mechanisms of action of many dietary supplement ingredients, but the evidence on their health effects is still building. As is true of much nutrition research, there are many studies that point to health effects, but not all are at the level of scientific evidence (e.g., randomized controlled interventions), rigor, or quality needed for definitive statements of efficacy regarding clinical end points. New technologies and approaches are being applied to the science of dietary supplements, including nutrigenomics and microbiome analysis, data science, artificial intelligence (AI), and machine learning—all of which can elevate the science behind dietary supplements. Products can contain an array of bioactive compounds derived from foods as well as from medicinal plants, which creates enormous challenges in data collection and management. Clinical applications, particularly those aimed at providing personalized nutrition options for patients, have become more sophisticated as dietary supplements are incorporated increasingly into clinical practice and self-care. The goals of this article are to provide historical context for the regulation and science of dietary supplements, identify research resources, and suggest some future directions for science in this field.

TIME, PERSON AND PLACE BIAS: Expanding the view through the Theory of Scientific Quality Assumptions

The literature presents several classifications for methodological biases, however little is discussed about the possible biases related to the theoretical foundation adopted in the research. Based on the Theory of Assumptions of Scientific Quality, we present reflections and conceptual expansions related to theoretical-methodological biases in research. A critical-reflective text supported by a narrative review, whose material collection process was carried out in a non-systematic way, chosen exclusively and based on the line of argument and reflection that the authors intend to submit to appreciation and public debate. Describe the importance of explaining the theoretical foundation and possible biases related to central aspects of life, namely, the time, person and place for public health research and its intersection with the process of elaboration, development and reporting in scientific studies. Classify and describe the biased types of time, person and place referring to the conceptual and empirical planes and the important elaboration and description of the combination of both for scientific work. It is hoped that this article will raise discussions and reflections on the current theoretical-methodological process that permeates scientific work and encourages the use and adequate explanation of the foundation and its possible theoretical biases.

Content-based quality evaluation of scientific papers using coarse feature and knowledge entity network

Pre-evaluating scientific paper quality aids in alleviating peer review pressure and fostering scientific advancement. Although prior studies have identified numerous quality-related features, their effectiveness and representativeness of paper content remain to be comprehensively investigated. Addressing this issue, we propose a content-based interpretable method for pre-evaluating the quality of scientific papers. Firstly, we define quality attributes of computer science (CS) papers as integrity, clarity, novelty, and significance, based on peer review criteria from 11 top-tier CS conferences. We formulate the problem as two classification tasks: Accepted/Disputed/Rejected (ADR) and Accepted/Rejected (AR). Subsequently, we construct fine-grained features from metadata and knowledge entity networks, including text structure, readability, references, citations, semantic novelty, and network structure. We empirically evaluate our method using the ICLR paper dataset, achieving optimal performance with the Random Forest model, yielding F1 scores of 0.715 and 0.762 for the two tasks, respectively. Through feature analysis and case studies employing SHAP interpretable methods, we demonstrate that the proposed features enhance the performance of machine learning models in scientific paper quality evaluation, offering interpretable evidence for model decisions.

Identification of Presurgical Risk Factors for the Development of Chronic Postsurgical Pain in Adults: A Comprehensive Umbrella Review.

Risk factors for the development of chronic postsurgical pain (CPSP) have been reported in primary studies and an increasing number of reviews. The objective of this umbrella review was to compile and understand the published presurgical risk factors associated with the development of CPSP for various surgery types. Six databases were searched from January 2000 to June 2023 to identify meta-analyses, scoping studies, and systematic reviews investigating presurgical CPSP predictors in adult patients. Articles were screened by title/abstract and subsequently by full text by two independent reviewers. The selected papers were appraised for their scientific quality and validity. Data were extracted and descriptively analyzed. Of the 2344 retrieved articles, 36 reviews were selected for in-depth scrutiny. The number of primary studies in these reviews ranged from 4 to 317. The surgery typesassessed were arthroplasty (n = 13), spine surgery (n = 8), breast surgery (n = 4), shoulder surgery (n = 2), thoracic surgery (n = 2), and carpal tunnel syndrome (n = 1). One review included a range of orthopedic surgeries; six reviews included a variety of surgeries. A total of 39 presurgical risk factors were identified, some of which shared the same defining tool. Risk factors were themed into six broad categories: psychological, pain-related, health-related, social/lifestyle-related, demographic, and genetic. The strength of evidence for risk factors was inconsistent across different reviews and, in some cases, conflicting. A consistently high level of evidence was found for preoperative pain, depression, anxiety, and pain catastrophizing. This umbrella review identified a large number of presurgical risk factors which have been suggested to be associated with the development of CPSP after various surgeries. The identification of presurgical risk factors is crucial for the development of screening tools to predict CPSP. Our findings will aid in designing screening tools to better identify patients at risk of developing CPSP and inform strategies for prevention and treatment.

ВИКТОР ИВАНОВИЧ КОВАЛЬЧУК: ДЕТСКИЙ ХИРУРГ, УЧЕНЫЙ, ОРГАНИЗАТОР-ПЕДАГОГ (К 70-ЛЕТИЮ СО ДНЯ РОЖДЕНИЯ)

The article is dedicated to the anniversary of a remarkable pediatric surgeon, a competent and highly qualified specialist, scientist, teacher and coordinator, Head of the Department of Pediatric Surgery of Grodno State Medical University, Doctor of Medical Sciences, Professor V.I. Kovalchuk.

A bibliometric analysis of the top 50 cited studies related to acromioclavicular joint instability

BackgroundAcromioclavicular joint (ACJ) injury is a common orthopaedic condition accounting for over 40 % of all shoulder injuries. The purpose of this study is to assess the research trends and characteristics of the top 50 cited articles on ACJ instability. MethodsA systematic search was conducted in Web of Science to identify articles primarily related to ACJ injury or instability. Characteristics including citation number, country of origin, journal and institution of publication, impact factor, authorship, level of evidence, patient demographics, and study type were analyzed and recorded. ResultsResearch output on ACJ instability has been steadily increasing, with the top 50 cited studies predominantly presenting Level IV evidence. These studies primarily focused on treatment outcomes which included predominantly male patients and exhibited a large variation in citation counts. The American Journal of Sports Medicine was the most productive journal, and the USA was the most productive nation. ConclusionThere is an increasing number of publications in the ACJ instability literature, primarily concentrated in a few institutions and journals, and focusing mainly on treatment outcomes. A significant portion of these publications are of low scientific quality, and there is a notable lack of research on outcomes for females.

Peer review trends in six fisheries science journals

BackgroundAs the production of scientific manuscripts and journal options both increase, the peer review process remains at the center of quality control. Recent advances in understanding reviewer biases and behaviors along with electronic manuscript handling records have allowed unprecedented investigations into the peer review process.MethodsWe examined a sample of six journals within the field of fisheries science (and all published by the American Fisheries Society) specifically looking for changes in reviewer invitation rates, review time, patterns of reviewer agreements, and rejection rates relative to different forms of blinding.ResultsData from 6,606 manuscripts from 2011–2021 showed significant increases in reviewer invitations. Specifically, four journals showed statistically significant increases in reviewer invitations while two showed no change. Review times changed relatively little (± 2 weeks), and we found no concerning patterns in reviewer agreement. However, we documented a consistently higher rejection rate—around 20% higher—of double-blinded manuscripts when compared to single-blinded manuscripts.ConclusionsOur findings likely represent broader trends across fisheries science publications, and possibly extend to other life science disciplines. Because peer review remains a primary tool for scientific quality control, authors and editors are encouraged to understand the process and evaluate its performance at whatever level can help in the creation of trusted science. Minimally, our findings can help the six journals we investigated to better understand and improve their peer review processes.

Analysis of Chemical Changes during Maturation of Amomum tsao-ko Based on GC-MS, FT-NIR, and FT-MIR.

Amomum tsao-ko Crevost et Lemaire (A. tsao-ko) is widely grown for its high nutritional and economic value. However, the lack of a scientific harvesting and quality control system has resulted in an uneven product quality. The present study was based on A. tsao-ko from four maturity stages from the same growing area, and its chemical trends and quality were evaluated using a combination of agronomic trait analysis, spectroscopy, chromatography, chemometrics, and network pharmacology. The results showed that A. tsao-ko was phenotypically dominant in October. Spectroscopy showed that the absorbance intensity at different maturity stages showed a trend of October > September > August > July. Further chemical differences between A. tsao-ko at different stages of maturity were found by chromatography to originate mainly from alcohol, aromatic, acids, esters, hydrocarbons, ketone, heterocyclic, and aldehydes. The network pharmacology results showed that the active ingredient for the treatment of obesity was present in A. tsao-ko and had high levels in A. tsao-ko in September and October. The results of this study provide a new idea for the comprehensive evaluation of A. tsao-ko and a theoretical basis for the harvesting and resource utilization of A. tsao-ko.

Is YouTube a reliable source of information for temporomandibular joint ankylosis?

In the digital era, the internet is the go-to source of information, and patients often seek insights on medical conditions like TMJ ankylosis. YouTube, a popular platform, is widely used for this purpose. However, YouTube's lack of regulation means it can host unreliable content. Hence, the primary objective of this study is to assess the scientific quality of YouTube videos concerning TMJ ankylosis. This study analyzed 59 TMJ ankylosis-related videos. Two Oral and Maxillofacial Surgery specialists assessed these videos. Data on the video source, duration, upload date, the time elapsed since upload, total views, likes, dislikes and comments, Interaction index, and viewing rate were collected and analyzed. Video quality was assessed using the Global Quality Scale (GQS) and the Quality Criteria for Consumer Health Information (DISCERN), comparing health professionals and non-health professionals. Health professional's videos were better in terms of GQS 3.21 ± 0.94 and DISCERN score 3.03 ± 0.75 as compared to the non-health professional videos GQS 3.0 ± 1.04, and DISCERN 2.81 ± 1.13. Health professional group videos had more reliability and better quality than the non-health professional group (p < 0.01). YouTube should not be relied on as a trustworthy source for high-quality and reliable information regarding TMJ ankylosis videos. Healthcare professionals must be prepared to address any ambiguous or misleading information and to prioritize building trustworthy relationships with patients through accurate diagnostic and therapeutic processes.

New facts from the biography of turkologist Ahmet Temir

The article deals with new sources from the Archives of the Humboldt University in Berlin, which allow us to present in detail the defense procedure of the famous turkologist Ahmet Temir’s thesis. Ahmet Temir entered the University of Berlin in 1936 and studied there for nine semesters. His thesis was ready by the spring of 1941. In particular, the article presents what documents were submitted by the applicant to the university, what reviews were written on his thesis, and how he passed the oral examination. German researchers confirmed the high scientific quality of Akhmet Temir’s thesis, which, in their opinion, besides having a serious linguistic base, was also truly innovative research, deserving high praise and setting new trends in Turkology. This peer-reviewed study was supported by experienced scholars. The thesis was submitted for defense in the very first phase of World War II; so, the political and military events had an impact on the defense procedure, as well as on the prospect of the thesis publication, which was eventually published only long afterwards, in 1956. The procedure itself included two stages an oral examination and a public defense of the thesis and lasted for two whole years Ahmet Temir received his Ph.D. degree only in July 1943.

Imaging of I Zw 18 by JWST. I. Detecting Dusty Stellar Populations

We present a JWST imaging survey of I Zw 18, the archetypal extremely metal-poor, star-forming (SF), blue compact dwarf galaxy. With an oxygen abundance of only ∼3% Z ⊙, it is among the lowest-metallicity systems known in the local Universe, and is, therefore, an excellent accessible analog for the galactic building blocks which existed at early epochs of ionization and star formation. These JWST data provide a comprehensive infrared (IR) view of I Zw 18 with eight filters utilizing both Near Infrared Camera (F115W, F200W, F356W, and F444W) and Mid-Infrared Instrument (F770W, F1000W, F1500W, and F1800W) photometry, which we have used to identify key stellar populations that are bright in the near- and mid-IR. These data allow for a better understanding of the origins of dust and dust-production mechanisms in metal-poor environments by characterizing the population of massive, evolved stars in the red supergiant (RSG) and asymptotic giant branch (AGB) phases. In addition, it enables the identification of the brightest dust-enshrouded young stellar objects (YSOs), which provide insight into the formation of massive stars at extremely low metallicities typical of the very early Universe. This paper provides an overview of the observational strategy and data processing, and presents first science results, including identifications of dusty AGB, RSG, and bright YSO candidates. These first results assess the scientific quality of JWST data and provide a guide for obtaining and interpreting future observations of the dusty and evolved stars inhabiting compact dwarf SF galaxies in the local Universe.

Exploring attitudes to research involving human subjects among Vietnamese university students: establishing a prospective longitudinal mixed-methods student cohort at the University of Medicine and Pharmacy at Ho Chi Minh City.

Research capacity is increasing in low- and middle-income countries (LMICs), with progressive development in the range and complexity of studies being undertaken, often in collaboration with high-income country partners. Although senior local stakeholders are typically involved in ensuring that research is conducted according to accepted standards for ethical and scientific quality, to date there has been little exploration of the views of younger generations around the ethics of research involving human subjects. We present our protocol to establish a longitudinal mixed-methods student cohort at the University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam, that is investigating students' views around the ethics of clinical and public-health oriented research. We use a synergistic approach involving initial deliberative engagement activities ( e.g. science cafes, debates) to inform participants about complex concepts, prior to formal quantitative and qualitative methods (surveys, focus group discussions and in-depth interviews) that are designed to explore the students' views in detail. We focus in particular on dengue research, i.e. research that addresses a locally relevant disease with which the students are likely familiar, and probe their thoughts on such themes as appropriate remuneration for research participants, involvement of vulnerable groups, use of human challenge trials in LMICs etc. A snapshot of the cohort and its activities after one year is also presented; among 429 active students, primarily from the Faculty of Medicine, the proportions of male and female students were similar, the majority were from southern or central Vietnam where dengue is endemic, and available data indicates the cohort to be representative of the expected spectrum of socioeconomic groups. The cohort provides a unique resource to investigate the views of young people on medical ethics, an important but hitherto underrepresented group in such discussions. Feedback indicates a clear interest in contributing thoughts and ideas to the development of clinical research in Vietnam.