An Exploratory-Descriptive Analysis of Training Programs for Leadership in Health Research and Services in India.

BACKGROUND: There are several leadership training programs for health researchers in India. However, there is a need to develop context-tailored leadership and mentoring approaches. OBJECTIVE: The objective of the study is to critically analyze the available leadership training programs in India for health researchers and service providers, for the leadership domains incorporated and overall training approaches. MATERIALS AND METHODS: We used an exploratory-descriptive design to identify and review leadership training programs for health researchers and service providers/managers that had been offered by Indian institutions between 2013 and 2018. Our analytic approach was based on "transformational leadership" and "leader-member exchange" theories of leadership, curricula of popular leadership training programs worldwide, and the International Clinical Epidemiology Network model for leadership in health research in India based on a nationwide primary study. RESULTS: We identified and reviewed 20 leadership training programs. These were heterogeneous in aim, scope (broad-based/thematic), course content, design, target participants and class profile, mode of delivery and training method, duration, frequency, and fund arrangements. The programs infrequently included topics on soft skills, mentoring, risk mitigation, collaboration for research, funding dynamics, institutional transformation, self-view and peer perception, and personal well-being. The programs insufficiently addressed contextual challenges of career exploration and risk mitigation, project management, strategic planning, and decision-making, ethics and integrity, negotiations, networking and collaboration, understanding funding dynamics, and mentoring. Only three programs linked to the training to the participants' ecosystem. CONCLUSIONS: There is a need to develop customized course contents and training strategies that address the requirements of the local context vis-à-vis globally connected research ecosystems.

[Development of the Venture Scientist Mindset among Japanese Basic Researchers].

Japanese basic researchers, known for their dedication to the advancement of science without any expectation of economic benefit, are conventionally regarded as virtuous professionals. However, current social demand requires researchers to adopt a venture mindset, implement their research outcomes for societal benefit, and contribute to society through business. In this paper, I highlight the importance of overcoming the "valley of death" between society and researchers to create useful intersections between science and business, aimed at application of research outcomes to the society and encouraging a lifestyle and challenges as venture scientists who can contribute to the generation of new industries.

Awareness and Perceptions of ChatGPT Among Academics and Research Professionals in Riyadh, Saudi Arabia: Implications for Responsible AI Use.

BACKGROUND Chat Generative Pre-Trained (ChatGPT) Transformer was created by OpenAI and has a powerful tool used in research. This study aimed to assess the awareness and perceptions of ChatGPT among researchers and academicians at King Saud University, Riyadh, Saudi Arabia. MATERIAL AND METHODS A self-administered cross-sectional study was conducted among academicians and researchers from November 2023 to March 2024 using electronic questionnaires prepared in Google Forms. The data were collected using the Tawasul platform, which sent the electronic questionnaires to the targeted population. To determine the association between variables, the chi-square or Fisher exact test was applied at a significance level of <0.05. To find predictors of use of ChatGPT, multiple linear regression analysis was applied. RESULTS A response rate of 66.5% was obtained. Among those, 60.2% (n=121) had expertise in computer skills and 63.7% were familiar with ChatGPT. The respondents' gender, age, and specialization had a significant association with familiarity with ChatGPT (p<0.001). The results of the multiple linear regression analysis revealed that there was a significant association between the use of ChatGPT, age (B=0.048; SE=0.022; t=2.207; p=.028; CI=0.005-0.092) gender (B=0.330; SE=0.067; t=4.906; p=.001; CI=197-.462) and nationality, (B=0.194; SE=0.065; t=2.982; p=.003, CI=.066-.322). CONCLUSIONS The growing use of ChatGPT in scholarly research offers a chance to promote the ethical and responsible use of artificial intelligence. Future studies ought to concentrate on assessing ChatGPT's clinical results and comparing its effectiveness to those of other ChatGPT and other AI tools.

Turnover intention and its related factors of clinical research coordinator in Hunan, China: a cross-sectional study.

To explore the related factors of turnover intention in clinical research coordinators (CRCs) and assess the mediating effects of professional identity on the association between job burnout and turnover intention. In China, CRC has become increasingly common among clinical trial teams in recent years. However, limited published research focused on the status of turnover intention in CRCs. We invited all the 220 CRCs currently working at Hunan Cancer Hospital located in Changsha city in the central south of China from March to June 2018. Participants were asked to complete structured questionnaires regarding basic demographic information, job burnout, professional identity and turnover intention. A total of 202 participants were included in this study, with a response rate of 91.82%. The main reason for turnover intention among CRCs was human resources, followed by communications, management and material resources (per item score in each dimension: 2.14 vs. 2.43 vs. 2.65 vs. 2.83). All the correlations among job burnout, professional identity and turnover intention were statistically significant, with coefficients ranging from -0.197 to 0.615. Multiple liner regression analysis showed that older age, longer workhours per week, and lower level of professional identity were associated with the prevalence of turnover intention among CRCs. Besides, the association between job burnout and turnover intention was fully mediated by professional identity. This study revealed the status and causes of turnover intention among Chinese CRCs. Effective measures on decreasing working time and improving professional identity should be taken in order to reduce CRCs' turnover intention.

The development of a set of key points to aid clinicians and researchers in designing and conducting n-of-1 trials.

INTRODUCTION: n-of-1 trials are undertaken to optimise the evaluation of health technologies in individual patients. They involve a single patient receiving treatments, both interventional and control, consecutively over set periods of time, the order of which is decided at random. Although n-of-1 trials are undertaken in medical research it could be argued they have the utility to be undertaken more frequently. We undertook the National Institute for Health Research (NIHR) commissioned DIAMOND (Development of generalisable methodology for n-of-1 trials delivery for very low volume treatments) project to develop key points to assist clinicians and researchers in designing and conducting n-of-1 trials. METHODS: The key points were developed by undertaking a stakeholder workshop, followed by a discussion within the study team and then a stakeholder dissemination and feedback event. The stakeholder workshop sought to gain the perspectives of a variety of stakeholders (including clinicians, researchers and patient representatives) on the design and use of n-of-1 trials. A discussion between the study team was held to reflect on the workshop and draft the key points. Lastly, the stakeholders from the workshop were invited to a dissemination and feedback session where the proposed key points were presented and their feedback gained. RESULTS: A set of 22 key points were developed based on the insights from the workshop and subsequent discussions. They provide guidance on when an n-of-1 trial might be a viable or appropriate study design and discuss key decisions involved in the design of n-of-1 trials, including determining an appropriate number of treatment periods and cycles, the choice of comparator, recommended approaches to randomisation and blinding, the use of washout periods and approaches to analysis. CONCLUSIONS: The key points developed in the project will support clinical researchers to understand key considerations when designing n-of-1 trials. It is hoped they will support the wider implementation of the study design.

Analyzing collaboration and impact: A bibliometric review of four highly published authors' research profiles on collaborative maps.

The concept of impact beam plots (IBPs) has been introduced in academia as a means to profile individual researchers. Despite its potential, there has been a lack of comprehensive analysis that evaluates the research profiles of highly published authors through the lens of collaborative maps. This study introduces a novel approach, the rating scale for research profiles (RSRP), to create collaborative maps for prolific authors. The initial hypothesis posited that each of the research profiles would attain a grade A, necessitating empirical verification. This research employed collaborative maps to analyze the publication patterns of authors using the Web of Science database, focusing on co-authorship patterns and the impact of their scholarly work. The study relied on various bibliometric indicators, such as publication count, citation metrics, h-index, and co-authorship networks, to provide a detailed assessment of the contributions made by each author in their field. Additionally, authors' IBPs were generated and assessed alongside collaborative maps, using a grading scale ranging from A (excellent) to F (lacking any articles as first or corresponding author). The analysis confirmed that all 4 research profiles achieved a grade A, with their centroids located in the third quadrant, indicating a high level of scholarly impact. The h-indexes for the authors were found to be 38, 51, 53, and 59, respectively. Notably, Dr Tseng from Taiwan showed a distinct pattern, with a significant number of solo-authored publications in the second quadrant, in contrast to the other 3 authors who demonstrated a greater emphasis on collaboration, as evidenced by their positioning in the first quadrant. The study successfully demonstrates that RSRP and IBPs can be effectively used to analyze and profile the research output of highly published authors through collaborative maps. The research confirms the initial hypothesis that all 4 profiles would achieve a grade A, indicating an excellent level of scholarly impact and a strong presence in their respective fields. The utility of collaborative maps can be applied to bibliometric indicators in assessing the contributions and impact of scholars in the academic community.

Addressing researcher degrees of freedom through minP adjustment.

When different researchers study the same research question using the same dataset they may obtain different and potentially even conflicting results. This is because there is often substantial flexibility in researchers' analytical choices, an issue also referred to as "researcher degrees of freedom". Combined with selective reporting of the smallest p-value or largest effect, researcher degrees of freedom may lead to an increased rate of false positive and overoptimistic results. In this paper, we address this issue by formalizing the multiplicity of analysis strategies as a multiple testing problem. As the test statistics of different analysis strategies are usually highly dependent, a naive approach such as the Bonferroni correction is inappropriate because it leads to an unacceptable loss of power. Instead, we propose using the "minP" adjustment method, which takes potential test dependencies into account and approximates the underlying null distribution of the minimal p-value through a permutation-based procedure. This procedure is known to achieve more power than simpler approaches while ensuring a weak control of the family-wise error rate. We illustrate our approach for addressing researcher degrees of freedom by applying it to a study on the impact of perioperative p a O 2 on post-operative complications after neurosurgery. A total of 48 analysis strategies are considered and adjusted using the minP procedure. This approach allows to selectively report the result of the analysis strategy yielding the most convincing evidence, while controlling the type 1 error-and thus the risk of publishing false positive results that may not be replicable.

"Best Paper" awards lack transparency, inclusivity, and support for Open Science.

Awards can propel academic careers. They also reflect the culture and values of the scientific community. But do awards incentivize greater transparency, inclusivity, and openness in science? Our cross-disciplinary survey of 222 awards for the "best" journal articles across all 27 SCImago subject areas revealed that journals and learned societies administering such awards generally publish little detail on their procedures and criteria. Award descriptions were brief, rarely including contact details or information on the nominations pool. Nominations of underrepresented groups were not explicitly encouraged, and concepts that align with Open Science were almost absent from the assessment criteria. At the same time, 10% of awards, especially the recently established ones, tended to use article-level impact metrics. USA-affiliated researchers dominated the winner's pool (48%), while researchers from the Global South were uncommon (11%). Sixty-one percent of individual winners were men. Overall, Best Paper awards miss the global calls for greater transparency and equitable access to academic recognition. We provide concrete and implementable recommendations for scientific awards to improve the scientific recognition system and incentives for better scientific practice.