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This study aimed at rethinking ways in which educators from different fields can collaborate to respond to the rapidly evolving demands of health professions education (HPE). The goal was to investigate how a research-to-resources approach can be applied to engage in knowledge translation (KT) of research findings for the benefit of introducing medical students to uncertainty in the clinical learning environment.

An interdisciplinary team of medical educators, human resource development (HRD) scholars and emergency medicine fellows engaged in iterative cycles of action research (AR) to develop, pilot and refine case-based learning resources on clinical uncertainty. The team leveraged prior research on physicians’ decision-making during COVID-19, experimented with generative AI tools, and collected feedback from medical students to guide resource development.

The findings of this study are twofold. On the one hand, the authors reflect on the lessons learned of developing case-based learning with the help of generative AI. While student feedback indicated that the case helped normalize and process experiences with uncertainty, key challenges included adapting research data to create relevant, sustainable learning resources and designing effective discussion prompts. On the other hand, the authors provide insights into the opportunities and challenges of our interdisciplinary collaboration. The authors show that knowledge utilization is not simple, but complex, and that more work needs to be done to effectively disseminate resources as part of the desired uncertainty curriculum.

This study attempts to apply a KT framework for bridging the research-practice gap in HPE through interdisciplinary collaboration and AR. It provides lessons learned for developing case-based curricula on complex topics like uncertainty. The findings highlight the need for adaptive KT processes when dealing with rapidly evolving healthcare contexts.

This paper offers a novel example of research-to-resource KT in medical education, integrating perspectives from HRD and leveraging emerging technologies. It contributes to understanding how interdisciplinary teams can collaborate to create timely, evidence-based educational resources for navigating uncertainty in professional practice. The study also provides insights into the challenges and opportunities of translating complex research findings into practical learning tools to tackle real-world challenges in HPE.

This study aims to investigate the landscape of family-based organic farm businesses in the Kashmir Valley, India, analyzing the factors that either facilitate or hinder their adoption. The research also intends to uncover sources of information seeking. The primary purpose is to provide qualitative evidence to address existing knowledge gaps and offer insights for promoting sustainable farm practices in the region.

The research employs a qualitative approach, drawing on focus group interviews. The study thoroughly explores the background and relevant literature, utilizing a comprehensive research framework. Data is collected from family based farmers engaged in organic farming practices in the Kashmir Valley. The data is analyzed using content analysis ensuring a robust and thorough exploration of the subject matter.

This study reveals a notable transition in the agricultural landscape of the Kashmir Valley, showcasing a widespread adoption of organic farming on considerable land. The study reveals that key facilitators for organic farming among family-based farms are farm productivity, entrepreneurial intention, governance, environmental consciousness, and health concerns. The exchange of information, both through formal and informal channels, is found to be a crucial factor influencing the adoption of organic farming. The study also unveiled significant inhibitors that hinder the adoption of organic farming on commercial scales, including on-farm challenges such as difficulties in acquiring inputs and facing reduced yields, market-related concerns, and a lack of support and assistance from government agencies.

This research contributes significantly to the existing literature by advancing the understanding of organic farm business and agri-entrepreneurship. It unveils key factors that either support or hinder family-based organic farms, identifying crucial information sources and presenting valuable insights for policymakers. Furthermore, this study provides practical guidance for overcoming obstacles, enhancing infrastructure, and translating identified facilitators into successful agri-ventures in the Kashmir region.

The purpose of this study is to explore the relationship between nutritional status and associated risk factors such as:, socio-economic, physical, pathological and psychological factors, among elderly residing in Lebanese nursing homes.

This cross-sectional study was carried out in 36 elderly care nursing homes with 2,094 residents. Of these, only 221 (11 per cent) elderly met the inclusion criteria and successfully completed the interview question. Data on socio-demographic characteristics and health conditions: oral, nutritional, depression, chronic diseases and activities of daily living, were collected. The analysis used a chi-square test and a binary logistic regression.

High levels of malnourishment were found among elderly who had no jobs (p = 0.012) and had oral health problems (p = 0.038), functional impairment (p < 0.001) and depression (p = 0.021). Comorbid illnesses, however, had no significant association with nutritional status. In addition, the first and strongest predictor entered in the regression on malnutrition was functional impairment (p = 0.002) followed by oral health problems (p = 0.030) and depression (p = 0.036).

The study is original in the sense that it emphasized the importance of three factors, autonomy, better oral and psychological health, in mediating nutritional outcomes for elderly residing in nursing homes.