Official Launch Research Articles

Improving Antibiotic Use in Pediatric Preseptal Cellulitis Using a Clinical Practice Guideline.

The purpose of this study was to evaluate the impact of a clinical practice guideline (CPG) on antibiotic use and resource utilization for pediatric preseptal cellulitis. This retrospective quasiexperimental study included patients between the age of 2 months and 17 years admitted for preseptal cellulitis between January 2013 and December 2023. The preseptal cellulitis CPG was implemented in December 2020 using a multifaceted strategy that included buy-in from key stakeholders, education of frontline providers, the official CPG launch, and stakeholder check-ins. The primary outcome was the use of broad-spectrum antibiotics, including dual/triple therapy and methicillin-resistant Staphylococcus aureus (MRSA) active antibiotics. The secondary outcome was resource utilization including blood testing and imaging. Outcomes were compared pre- and post-CPG implementation using the Fisher exact test and logistic regressions. Of 236 patients meeting inclusion criteria, 175 and 61 patients composed the pre- and post-CPG cohorts, respectively. Median age (interquartile range) was 4.0 (1.8-8.3) years and 46% of the population were female. Post-CPG implementation changes in empirical antibiotic use included decreases in broad-spectrum use from 100% to 66% (P < .001), dual/triple therapy from 47% to 16% (P < .001), and MRSA active agents from 86% to 26% (P < .001). There was a decrease in complete blood count and blood culture orders from 75% to 57% (P = .014) and 32% to 18% (P = .047), respectively. Use of broad-spectrum antibiotics, including dual/triple therapy and MRSA active antibiotics for the treatment of pediatric preseptal cellulitis, decreased after CPG implementation.

The Past and Future of the Fisheries and Marine Ecosystem Model Intercomparison Project

AbstractClimate change is increasingly affecting the world's ocean ecosystems, necessitating urgent guidance on adaptation strategies to limit or prevent catastrophic impacts. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) is a network and framework that provides standardised ensemble projections of the impacts of climate change and fisheries on ocean life and the benefits that it provides to people. Since its official launch in 2013 as a small, self‐organized project within the larger Inter‐Sectoral Impact Model Intercomparison Project, the FishMIP community has grown substantially and contributed to key international policy processes, such as the Intergovernmental Panel on Climate Change Assessment Report, and the Intergovernmental Science‐Policy Platform on Biodiversity and Ecosystem Services Global Biodiversity Assessment. While not without challenges, particularly around comparing heterogeneous ecosystem models, integrating fisheries scenarios, and standardising regional‐scale ecosystem models, FishMIP outputs are now being used across a variety of applications (e.g., climate change targets, fisheries management, marine conservation, Sustainable Development Goals). Over the next decade, FishMIP will focus on improving ecosystem model ensembles to provide more robust and policy‐relevant projections for different regions of the world under multiple climate and societal change scenarios, and continue to be open to a broad spectrum of marine ecosystem models and modelers. FishMIP also intends to enhance leadership diversity and capacity‐building to improve representation of early‐ and mid‐career researchers from under‐represented countries and ocean regions. As we look ahead, FishMIP aims to continue enhancing our understanding of how marine life and its contributions to people may change over the coming century at both global and regional scales.

The Construction of the RCEP Investment Dispute Settlement Mechanism: Currentcy, Dilemmas and Solutions

The signing of RCEP signifies the official launch of the world’s largest and most promising free trade area in terms of population, playing a positive role in promoting regional trade, investment, and economic growth. Currently, based on the resurgence of neo-Calvinism, legitimacy crises in ISDS mechanisms, and the absence of ISDS mechanisms in RCEP, member countries are beginning to reexamine the RCEP investment dispute settlement mechanism. Overall, the RCEP investment dispute settlement mechanism fails to effectively balance the interests of host countries and investors. Therefore, based on comparative analysis of existing investment dispute settlement mechanisms, it may be advisable to explore establishing a new ISDS mechanism for RCEP that integrates both preventive measures and back-end mechanisms.

KENDSA Inaugural Scientific Conference’s Write-up

The Kenya Nutrition and Dietetics Students Association (KENDSA) marked a historic milestone with its first-ever scientific conference on March 8th, 2024, held at the University of Nairobi's Upper Kabete campus. This landmark event served as the official launch of KENDSA, following its establishment eight months prior.

The Work of Care

This essay examines feminist curation as a work of care with the example of Purplay, a South Korean streaming service. In less than four years since its official launch, Purplay has grown into a platform that currently streams 330 films made by women, hosts a community of 30,000 subscribers, and produces new discourse on women’s cinema through its various initiatives. I analyze an array of Purplay’s curatorial practices as a feminist intervention that not only provides increased access to women’s films but also forges a sense of community among the platform’s participants. These practices, I argue, have constituted a sober reckoning with the inequitable dynamics that characterize South Korea’s current social fabric, and are redefining its screen culture.

Is international cooperation effective in combating terrorism? Evidence from the Shanghai Cooperation Organization

ABSTRACT Previous studies have theoretically demonstrated that international counter-terrorism cooperation can effectively combat terrorism and maintain regional stability and development. However, due to the limited availability of data, most studies lack empirical analysis. We employ differences-in-differences models to investigate whether the counter-terrorism cooperation actions of Shanghai Cooperation Organization can effectively inhibit the development of terrorism in member countries. We find that after the official launch of the Regional Anti-Terrorism Structure of Shanghai Cooperation Organization, the number of terrorist activities in member countries decreased by 59.8% compared to other Belt and Road countries, and the number of casualties caused by terrorist activities decreased by 42.7%. Mechanism tests show that the breeding ground for terrorism can be eradicated by improving political governance and promoting economic development in member countries. In the context of counter-terrorism, apart from the Shanghai Cooperation Organization, both the North Atlantic Treaty Organization and the European Union contribute to the reduction of terrorist attacks among their member states. We believe that by seeking international counter-terrorism cooperation based on common security interests, and actively utilizing a flexible and diverse range of counter-terrorism measures, we can curb the development of terrorism.

Angkut.in: The Future of Trucking by Digital Product Design Journey

Jepara Regency in Central Java, Indonesia, is renowned as the "World Carving Center" due to its flourishing furniture carving industry. Despite successfully exporting carvings globally, the distribution process encounters challenges with conventional methods, primarily due to a limited truck fleet exacerbated by the post-pandemic situation. This study aims to scrutinize the effectiveness of "Angkut.in" as an innovative solution for overcoming hurdles in heavy goods distribution, particularly furniture. Utilizing Design Thinking, the research incorporates an analysis of the application of the Technology Acceptance Model (TAM) and digital marketing strategies within the "Angkut.in" application design. Employing a Supply Chain Management (SCM) approach, the research assesses the application's impact on local innovation growth, operational efficiency, and the competitiveness of the furniture industry. Market analysis indicates a focus on the online furniture entrepreneur segment. The marketing strategy involves real-time tracking services, live price checking, and user-friendly application interfaces. The business model adopts a Business-to-Business (B2B) approach, emphasizing transportation services for large goods businesses. The business identity design encompasses color selection, typography, and graphic elements that mirror the innovative and reliable nature of goods delivery services. Risk analysis covers technological factors, market competition, loss of goods, data security, capital limitations, regulatory changes, market acceptance, and force majeure. Angkut.In is categorized as a low-risk business according to the risk analysis matrix. The prototype validation by UKM Partners yielded a score of 8.5 out of 10, indicating maturity and compliance with most evaluation criteria. The provided fix notes will guide further development steps before the official launch.

Structure characteristics and formation mechanism of the RCEP manufacturing trade network: An ERGM analysis

The entry into force of the Regional Comprehensive Economic Partnership (RCEP) on January 1st, 2022 marked the official launch of the world’s largest free trade area. The RCEP agreement will gradually release its strengths to the regional trade development and finally become one of the most important economic growth polarities. In this article, the complex network theory was introduced in the analysis of regional trade patterns and the investigation of trade relation-formation mechanisms. Based on the RCEP agreement, we constructed the manufacturing trade networks at both national and industrial levels, meanwhile, we explored the node and network characteristics combining with centrality, density, reciprocity, and distance indicators. Furthermore, by using the significance testing of the three-node motifs, we recognized the main trade patterns of the RCEP manufacturing trade. Finally, we established the exponential random graph model(ERGM) and performed an empirical analysis to conduct the formation mechanisms of the RCEP manufacturing trade networks. The results provided that the integrated trade pattern had a strong positive effect on the relation formation, while the imbalanced trade pattern was not easy to form the trading relationship.

A hybrid forecasting approach for China's national carbon emission allowance prices with balanced accuracy and interpretability

A significant milestone in China's carbon market was reached with the official launch and operation of the National Carbon Emission Trading Market. The accurate prediction of the carbon price in this market is crucial for the government to formulate scientific policies regarding the carbon market and for companies to participate effectively. Nevertheless, it remains challenging to accurately predict price fluctuations in the carbon market because of the volatility and instability caused by several complex factors. This paper proposes a new carbon price forecasting framework that considers the potential factors influencing national carbon prices, including data decomposition and reconstruction techniques, feature selection techniques, machine learning forecasting techniques for intelligent optimisation, and research on model interpretability. This comprehensive framework aims to improve the accuracy and understandability of carbon price projections to respond better to the complexity and uncertainty of carbon markets. The results indicate that (1) the hybrid forecasting framework is highly accurate in forecasting national carbon market prices and far superior to other comparative models; (2) the factors driving national carbon prices vary according to the time scale. High-frequency series are sensitive to short-term economic and energy market indicators. Medium- and low-frequency series are more susceptible to financial markets and long-term economic conditions than high-frequency series. This study provides insights into the factors affecting China's national carbon market price and serves as a reference for companies and governments to develop carbon price forecasting tools.

Environmental technology import and carbon emissions intensity convergence: Analysis for the Belt and Road Initiative countries

Since the official launch of the Belt and Road Initiative (BRI) in 2013, China and the BRI countries have been working for the implementation of certain environmental measures to make the BRI project green and clean. For this purpose, China and the BRI countries have planned to implement certain environmental measures. Although China can efficiently implement these measures, most of the BRI countries face technological deficiencies and lack of proper environmental plannings. To tackle these deficiencies, the BRI countries can import environmental technology from China. Moreover, they can communicate their environmental protection policies with China for better policy guidance. The current study, therefore, aims to examine whether the BRI countries’ import of environmental technology from China can reduce carbon emissions in these countries. Moreover, it also examines that whether these countries should follow the environmental policy and the import policy of China or they should follow the six European countries (EU-6) with minimum carbon emissions intensity. This study considers a sample of 88 selected BRI countries (BRI-88) for the period 2001–2019. The results obtained with β convergence (based on the panel quantile regression model) suggest that not all the BRI countries but only the BRI countries with relatively higher carbon emissions intensity can significantly reduce their average carbon emissions intensity by importing environmental technology from China. Moreover, BRI countries can follow the environmental policy of China which is more feasible for them. However, regarding the environmental goods import policy, BRI countries can follow both China and the EU-6.

Introducing seasonal influenza vaccine in Bhutan: Country experience and achievements

Bhutan successfully introduced multiple vaccines since the establishment of the Vaccine Preventable Disease Program in 1979. Surveillance and subsequent introduction of influenza vaccination became a public health priority for the Ministry of Health following the influenza A(H1N1)pdm09 pandemic. Sentinel surveillance for influenza in Bhutan began in 2008, and a study of severe acute respiratory infection was conducted in 2017, which found the highest influenza burden in children aged <5 years and adults ≥50 years. Following review of surveillance and burden of disease data, the National Technical Advisory Group presented recommendations to Bhutan’s Ministry of Health which approved influenza vaccine introduction for all five high-risk groups in the country. Upon the official launch of the program in June 2018, the Vaccine Preventable Disease Program began planning, budgeting, and procurement processes with technical and financial support from the Partnership for Influenza Vaccine Introduction, the United States Centers for Disease Control and Prevention, the Bhutan Health Trust Fund, and the World Health Organization. Influenza vaccination for high-risk groups was integrated into Bhutan’s routine immunization services in all health care facilities beginning in November 2019 and vaccinated all populations in 2020 in response to the COVID-19 pandemic. Coverage levels between 2019 and 2022 were highest in children aged 6–24 months (62.5%–96.9%) and lowest in pregnant women (47.7%–62.5%). Bhutan maintained high coverage levels despite the COVID-19 pandemic by continued provision of influenza vaccine services at health centers during lockdowns, conducting communication and sensitization efforts, and using catch-up campaigns. Bhutan’s experience with introducing and scaling up the influenza vaccine program contributed to the country’s capacity to rapidly deploy its COVID-19 vaccination program in 2021.

What Have People Discussed about ChatGPT in Malaysian Education? A Qualitative Content Analysis of News Articles

ChatGPT became a top trending news topic in late 2022. People were astounded by the artificial intelligence (AI) chatbot’s ability to write emails, essays and computer codes; edit and correct grammar; provide suggestions; and so on in a human-like conversational manner. Many months after its official launch, people are still debating whether and how the chatbot might transform the way people do things in various sectors. One such sector is education. Academics and educational institutions have been seeking to figure out how to effectively adapt teaching and learning in response to ChatGPT. This study examined what has been discussed in the news about ChatGPT in Malaysian education during the first few months following its launch. This study first searched for articles in three major Malaysian English newspapers using the search terms "ChatGPT" and "education". Then, qualitative content analysis was employed to classify discussions about ChatGPT in Malaysian education published in 16 articles into categories and subcategories. The findings show that the discussions in the news could be coded into five level-one categories and 14 level-two subcategories. The findings of this study could help academics and educational institutions gain a better understanding of people's attitudes, concerns, and sentiments towards ChatGPT in Malaysian education to adapt learning design and delivery as well as point to future research directions.

Optimal preannouncement timing for launching new tourism attractions

Research on new tourism destinations’ preannouncement timing is lacking in the tourism literature. Across four studies (including two preregistered studies) that drew samples from the United States and China, using both qualitative and quantitative methods with multiple answer-elicitation techniques, the authors address an important question: What is the optimal preannouncement timing for to-be-launched tourism destinations? Contrary to the prediction of the economic theory of discounted utility, the authors find that prospective tourists consistently prefer a time interval between preannouncement and official launch over immediate availability in joint evaluations. Additionally, the authors found a resurgence of interest after an initial decline in the first week in separate evaluations, whereas this pattern does not occur in joint evaluations. Practically, the authors suggest a “sweet spot” for the preannouncement between one week and two months before the official launch; theoretically, the current research contributes to the emerging tourism literature on temporal distance and its consequences in tourism.

Reflections on the Implications of the Developments in ChatGPT for Changes in Medical Education Models

Ever since its official launch, Chat Generative Pre-Trained Transformer, or ChatGPT, a natural language processing tool driven by artificial intelligence (AI) technology, has attracted much attention from the education community. ChatGPT can play an important role in the field of medical education, with its potential applications ranging from assisting teachers in designing individualized teaching scenarios to enhancing students' practical ability for solving clinical problems and improving teaching and research efficiency. With the developments in technology, it is inevitable that ChatGPT, or other generative AI models, will be thoroughly integrated in more and more medical contexts, which will further enhance the efficiency and quality of medical services and allow doctors to spend more time interacting with patients and implement personalized health management. Herein, we suggested that proactive reflections be made to figure out the best way to cultivate health professional in the context of New Medical Education, to help more medical professionals enhance their understanding of developments in artificial intelligence, and to make preparations for the challenges that will emerge in the new round of technological revolution. Medical educators should focus on guiding students to make proper use of AI tools in the appropriate context, thereby prevening abuse or overreliance caused by a lack of discrimating ability. Teachers should focus on helping medical students make improvements in clinical reasoning skills, self-directed learning, and clinical practical skills. Teachers should stress the importance for medical students to understand the philosophical implications of the mind-body unity concept, holistic medical thinking, and systematic medical thinking. It is important to enhance medical students' humanistic qualities, cultivate their empathy and communication skills, and continually enhance their ability to meet the requirements of individualized precision diagnosis and treatment so that they will better adapt to the future developments in medicine.

Towards niche market for shared mobility: Identifying heterogeneity of potential early adopters to use shared electric bikes in a Chinese mega city

Shared mobility endures the pandemic, legislative upheaval, and points to a sizable potential market with wider range of shared services. As the shared mobility segment worldwide continually increases, a noticeable trend towards segmentation of shared mobility services, namely, the niche market, is gaining attention. However, the majority of scholarship has mainly focused on early adopters’ transition from conventional transportation modes to shared mobility, with little attention given to the shift towards specialized and niche shared mobility services. To address such gap, this study aims to explore the heterogeneous characteristics of potential early adopters of shared electric bikes among different transportation groups in the existing market. The questionnaire targets 1,034 citizens living in Shenzhen, a mega city in China, from March to April in 2020, before the official launch of the shared electric bikes scheme in the city. Both binary logistic models and text sentiment analysis have been conducted to present a comprehensive analytical framework to understand the group-sensitive identification of potential early adopters. Results reveal that age, car ownership, commute time, and confidence level on the potential scheme are four significant variables to explain all respondents’ willingness to adopt shared electric bikes, regardless of their existing dominant transport mode. However, when it comes to subgroups with different travel preferences, the profile of potential early adopters vary distinctly. Specifically, younger public transport users are interested in adopting shared electric bikes but have price concerns; gender is the most significant variable to predict private vehicle user’s adopt willingness, and female user show strong concerns on safety issue; users who primarily walk or cycle can benefit from shared electric bikes to travel longer distances, and lastly, there are no significant variables to predict electric bike users’ intention to switch from self-owned bikes to shared programmes. Overall, an analytical framework is presented in the study to comprehend the diverse features of prospective early adopters who may utilize shared electric bikes from different transportation groups, and a collection of development strategies for operators is proposed.

“Profplan”: Konsep Aplikasi Perencanaan Laba Metode Cost-Volume-Profit (CVP) Sebagai Peningkatan Profitability UMKM Di Indonesia

This research aims to develop a conceptual design for a profit planning application using Cost Volume Profit (CVP) analysis for Micro, Small, and Medium Enterprises (MSMEs). MSMEs play a crucial role in Indonesia's economic growth, but they still face funding issues and a lack of guidance in financial planning and management. Therefore, optimizing profit generation becomes essential in strengthening the contribution of MSMEs to the economy. Cost Volume Profit (CVP) analysis is chosen as an effective profit planning method as it connects production costs, production volume, and profit. In this study, the author proposes the design concept of an application called "Profplan" specifically tailored to assist MSMEs in maximizing business profitability. This application will provide educational features such as short videos explaining fundamental accounting concepts related to manufacturing MSMEs. Furthermore, the application includes cost calculation and pricing determination features. The cost calculation feature helps users identify fixed and variable costs associated with production. Users can fill in a digital form with the costs incurred for production and obtain accurate production cost reports. The pricing determination feature utilizes the cost-plus pricing method with a full costing approach. Users can input their desired profit margin, and the application will recommend a selling price based on the production costs and the specified profit margin. The development of this application involves the collaboration of programmers and application developers. The steps include system design, application programming, usability testing, and patent registration before its official launch on the PlayStore and AppStore. With the "Profplan" application, MSMEs are expected to engage in profit planning more easily and effectively. This user-friendly approach will assist MSMEs in improving business profitability and contributing to Indonesia's economy.

Charity Colonoscopy Event and Fund in Singapore: A Novel Method to Raise Awareness of Colorectal Cancer Screening

Abstract Background: Despite the improvements in the incidence rate and mortality of colorectal cancer in Singapore, most cases are still diagnosed at later stages. This suggests limitations in the uptake of cancer screening, relating to suboptimal population awareness, unfamiliarity with tests, or cost concerns. Objective: We report our experience with a charity colonoscopy event to assist patients with endoscopy costs, raise public awareness of endoscopic cancer screening, and demonstrate the safety of colonoscopy. Design and Settings: The Singapore General Hospital (SGH) Preventing Rectal and Colon Cancer through Endoscopy (SPRUCE) fund was established in 2019. A charity endoscopic event was held to kickstart the official launch of the fund with corporate, individual, and industry support. Patients and Methods: The recruitment criteria were first-visit patients who required colonoscopic evaluation following specialist evaluation and those in possession of a Community Health Assist Scheme card, for which only Singapore citizens whose annual household per capita income was less than Singapore dollar (SGD) 24,000 (USD 17,500) were eligible. This enabled meaningful selection of patients who would most benefit from financial assistance. Main Outcome Measures: To determine the feasibility of a charity colonoscopy event while raising colorectal cancer public awareness. Sample Size: Forty-eight patients underwent colonoscopies by accredited endoscopists for the SPRUCE endoscopy event. Results: Of the 48 participants, 19 (39.5%) were men and 29 (60.4%) were women, with a median age of 64 years. Seven patients (14.6%) had a normal colonoscopy, while 42 (85.4%) had at least one abnormality documented. Forty-one benign polyps were detected and removed in 22 patients (45.8%), with an overall adenoma detection rate of 85.4%. One patient (2.1%) was diagnosed with colon cancer. No complications resulted from the procedures performed during the charity event. Conclusion: A charity colonoscopy event conducted in the form of a health fair for needy patients is feasible and may help raise colorectal cancer awareness. This framework may serve as a useful basis for similar future events held in Singapore or elsewhere. Limitations: Lack of longitudinal assessment of colorectal cancer awareness among the public, following the charity colonoscopy event. Conflict of Interest: The authors have no conflict of interest to declare.

An initiative to improve mental health practice in primary care in Caribbean countries.

The aim of this initiative was to assess whether a novel training program - Understanding Stigma and Strengthening Cognitive Behavioral Interpersonal Skills - could improve primary health care providers' confidence in the quality of mental health care they provide in the Caribbean setting by using the Plan-Do-Study-Act rapid cycle for learning improvement. We conducted a prospective observational study of the impact of this training program. The training was refined during three cycles: first, the relevance of the program for practice improvement in the Caribbean was assessed. Second, pilot training of 15 local providers was conducted to adapt the program to the culture and context. Third, the course was launched in fall 2021 with 96 primary care providers. Pre- and post-program outcomes were assessed by surveys, including providers' confidence in the quality of the mental health care they provided, changes in stigma among the providers and their use of and comfort with the tools. This paper describes an evaluation of the results of cycle 3, the official launch. A total of 81 participants completed the program. The program improved primary care providers' confidence in the quality of mental health care that they provided to people with lived experience of mental health disorders, and it reduced providers' stigmatization of people with mental health disorders. The program's quality improvement model achieved its goals in enhancing health care providers' confidence in the quality of the mental health care they provided in the Caribbean context; the program provides effective tools to support the work and it helped to empower and engage clients.

Low-Cost BDS Reflectometry for Real-Time Water Surface Retrieval

The official launch of the Chinese BeiDou Navigation Satellite System with global coverage (BDS-3) presents significant opportunities for various applications, including precision agriculture and autonomous driving, among others. With its global spatial coverage and hybrid space constellation comprising geosynchronous Earth orbit (GEO), inclined geosynchronous orbit (IGSO), and medium Earth orbit (MEO) satellites, BDS can significantly contribute to various GNSS remote sensing applications that require real-time, precise water surface height measurements with high temporal and spatial resolution, such as in tidal monitoring. In this paper, we propose a carrier-phase-based method for BDS Reflectometry (BDS-R) to precisely retrieve real-time water surface height. Firstly, the BDS-R altimetry method is introduced, along with a detailed explanation of the data processing procedures. Secondly, a quality control method tailored to the characteristics of low-cost BDS devices is developed. Thirdly, a land altimetry experiment is conducted to evaluate the precision of BDS-R and analyze the specific contribution of the BDS hybrid constellation. Finally, a water surface altimetry experiment validates the real-time monitoring capabilities for low-cost BDS-R. The results indicate that low-cost BDS-R can achieve real-time centimeter-level water level monitoring with a temporal resolution of 1 s in lakefront environments. The performance of BDS-R can be significantly improved by the BDS hybrid constellation, particularly IGSOs. It is concluded that low-cost BDS-R has great potential for promoting ground-based GNSS remote sensing applications.

Exploring the merits of research performance measures that comply with the San Francisco Declaration on Research Assessment and strategies to overcome barriers of adoption: qualitative interviews with administrators and researchers

BackgroundIn prior research, we identified and prioritized ten measures to assess research performance that comply with the San Francisco Declaration on Research Assessment, a principle adopted worldwide that discourages metrics-based assessment. Given the shift away from assessment based on Journal Impact Factor, we explored potential barriers to implementing and adopting the prioritized measures.MethodsWe identified administrators and researchers across six research institutes, conducted telephone interviews with consenting participants, and used qualitative description and inductive content analysis to derive themes.ResultsWe interviewed 18 participants: 6 administrators (research institute business managers and directors) and 12 researchers (7 on appointment committees) who varied by career stage (2 early, 5 mid, 5 late). Participants appreciated that the measures were similar to those currently in use, comprehensive, relevant across disciplines, and generated using a rigorous process. They also said the reporting template was easy to understand and use. In contrast, a few administrators thought the measures were not relevant across disciplines. A few participants said it would be time-consuming and difficult to prepare narratives when reporting the measures, and several thought that it would be difficult to objectively evaluate researchers from a different discipline without considerable effort to read their work. Strategies viewed as necessary to overcome barriers and support implementation of the measures included high-level endorsement of the measures, an official launch accompanied by a multi-pronged communication strategy, training for both researchers and evaluators, administrative support or automated reporting for researchers, guidance for evaluators, and sharing of approaches across research institutes.ConclusionsWhile participants identified many strengths of the measures, they also identified a few limitations and offered corresponding strategies to address the barriers that we will apply at our organization. Ongoing work is needed to develop a framework to help evaluators translate the measures into an overall assessment. Given little prior research that identified research assessment measures and strategies to support adoption of those measures, this research may be of interest to other organizations that assess the quality and impact of research.