Publications by authors named "Masters K"

This study assessed the association of food security with potential cardio-metabolic risk factors among persons with metabolic syndrome (MetS). Data were derived from the baseline data of a randomized controlled lifestyle intervention trial for individuals with MetS. Household food security, fruit and vegetable intake, perceived food environment, and perceived stress were collected using validated questionnaires.

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AI has changed the landscape of health professions education. With the hype now behind us, we find ourselves in the phase of reckoning, considering what's next; where do we start and how can educators use these powerful tools for daily teaching and learning. We recognize the great need for training to use AI meaningfully for education.

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Health Professions Education (HPE) assessment is being increasingly impacted by Artificial Intelligence (AI), and institutions, educators, and learners are grappling with AI's ever-evolving complexities, dangers, and potential. This AMEE Guide aims to assist all HPE stakeholders by helping them navigate the assessment uncertainty before them. Although the impetus is AI, the Guide grounds its path in pedagogical theory, considers the range of human responses, and then deals with assessment types, challenges, AI roles as tutor and learner, and required competencies.

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There is a global initiative to reduce the use of restrictive care practices in mental health settings. Variations in the reported rates across regions complicate the understanding of their use and tracking trends over time. However, it remains unclear whether these discrepancies reflect real differences in the implementation of these practices or are sourced from inconsistencies in incident classification and reporting methods.

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The COVID-19 pandemic and the recent increased interest in generative artificial intelligence (GenAI) highlight the need for interprofessional communities' collaboration to find solutions to complex problems. A personal narrative experience of one of the authors compels us to reflect on current approaches to learning and knowledge acquisition and use solutions to the challenges posed by GenAI through social learning contexts using connectivism. We recognize the need for constructivism and experiential learning for knowledge acquisition to establish foundational understanding.

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Article Synopsis
  • Healthcare educators face challenges in adapting to rapid advancements in Generative Artificial Intelligence (GenAI) tools, necessitating a standard model for evaluating these technologies in educational settings.
  • The PICRAT model is introduced as a framework designed to aid educators in the effective integration of GenAI into their curriculum.
  • The article uses NotebookLM, a GenAI tool with an auto-podcast feature, as a case study to demonstrate how the PICRAT model can be applied for evaluating and implementing technology in health professions education.
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Generative Artificial Intelligence (GenAI) caught Health Professions Education (HPE) institutions off-guard, and they are currently adjusting to a changed educational environment. On the horizon, however, is Artificial Intelligence (AGI) which promises to be an even greater leap and challenge. This Guide begins by explaining the context and nature of AGI, including its characteristics of multi-modality, generality, adaptability, autonomy, and learning ability.

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As any field evolves, so do journals' expectations from authors. As Artificial Intelligence (AI) usage in Health Professions Education (HPE) has evolved, 's expectations have changed, and previously-accepted paper types are now routinely rejected. This commentary gives some guidance for authors currently submitting AI in HPE papers to .

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Article Synopsis
  • Meaning in life is linked to better health and longevity, potentially through healthier behaviors like physical activity, but little has been done to leverage meaning in exercise interventions.
  • The study introduces the Meaningful Activity Program (MAP to Health), a web-based intervention designed for middle-aged adults to enhance physical activity by focusing on meaning and self-determination.
  • The pilot trial involved 35 participants who used MAP for 8 weeks, measuring changes in their motivation and activity levels, with results indicating the program's potential to influence behavior through increased meaning and psychological fulfillment.
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Background: Religiousness and spirituality (R/S) are associated with lower morbidity and mortality, yet the physiological mechanisms underlying these associations are under-studied. Chronic inflammation is a plausible biological mechanism linking R/S to downstream health given the sensitivity of the immune system to the social environment and the role of inflammation in many chronic diseases.

Purpose: The purpose of the present study was to examine associations between multiple R/S dimensions and two markers of chronic inflammation, interleukin-6 (IL-6) and C-reactive protein (CRP).

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Objectives: Evidence-based prescribing is essential to optimize patient outcomes in cystitis. This requires knowledge of local antibiotic resistance rates. Diagnostic and Antimicrobial Stewardship (DASH) to Protect Antibiotics (https://dashuti.

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Despite considerable progress in recent years, research in cardiac psychology is not widely translated into routine practice by clinical cardiologists or clinical health psychologists. Self-determination theory (SDT), which addresses how basic psychological needs of autonomy, competence, and relatedness contribute to the internalization of motivation, may help bridge this research-practice gap through its application to shared decision-making (SDM). This narrative review discusses the following: (a) brief background information on SDT and SDM, (b) the application of SDT to health behavior change and cardiology interventions, and (c) how SDT and SDM may be merged using a dissemination and implementation (D&I) framework.

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Eating competence (EatC) is an intra-individual approach to eating attitudes and behaviors associated with greater well-being. EatC research has not included persons with confirmed metabolic syndrome (MetS). Therefore, EatC of persons with MetS was explored to identify unique associations and inform implementation of MetS lifestyle interventions using baseline data from a multisite, randomized trial of a 2-year lifestyle intervention with MetS.

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The custom GPT is the latest powerful feature added to ChatGPT. Non-programmers can create and share their own GPTs ("chat bots"), allowing Health Professions Educators to apply the capabilities of ChatGPT to create administrative assistants, online tutors, virtual patients, and more, to support their clinical and non-clinical teaching environments. To achieve this correctly, however, requires some skills, and this 12-Tips paper provides those: we explain how to construct data sources, build relevant GPTs, and apply some basic security.

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Background: Large language models such as GPT-4 (Generative Pre-trained Transformer 4) are being increasingly used in medicine and medical education. However, these models are prone to "hallucinations" (ie, outputs that seem convincing while being factually incorrect). It is currently unknown how these errors by large language models relate to the different cognitive levels defined in Bloom's taxonomy.

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Objective: To evaluate the feasibility of conducting a prospective randomised controlled trial (pRCT) comparing remifentanil and fentanyl as adjuncts to sedate mechanically ventilated patients.

Design: Single-center, open-labelled, pRCT with blinded analysis.

Setting: Australian tertiary intensive care unit (ICU).

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Advances in Artificial Intelligence (AI) have led to AI systems' being used increasingly in medical education research. Current methods of reporting on the research, however, tend to follow patterns of describing an intervention and reporting on results, with little description of the AI in the system, or the many concerns about the use of AI. In essence, the readers do not actually know anything about the system itself.

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Part 1 of the AMEE Guide focused on foundational concepts such as theory, methods, and instructional design in online learning. Part 2 builds upon Part 1, introducing technology tools and applications of these foundational concepts by exploring the various levels (from beginner to advanced) of utilisation, while describing how their usage can transform Health Professions Education. This Part covers Learning Management Systems, infographics, podcasting, videos, websites, social media, online discussion forums, simulation, virtual patients, extended and virtual reality.

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We examined prospective associations between religiousness/spirituality (R/S; i.e., service attendance, R/S identity, R/S coping, spirituality) and all-cause mortality in the Midlife in the United States (MIDUS) sample, including whether having a purpose in life and positive social support are indirect pathways through which R/S predicts mortality.

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Students' inappropriate use of ChatGPT is a concern. There is also, however, the potential for academics to use ChatGPT inappropriately. After explaining ChatGPT's "hallucinations" regarding citing and referencing, this commentary illustrates the problem by describing the detection of the first known submission using ChatGPT inappropriately, the lessons that can be drawn from it for journal editors, reviewers, and teachers, and then the wider implications if this problem is left unchecked.

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Online learning in Health Professions Education (HPE) has been evolving over decades, but COVID-19 changed its use abruptly. Technology allowed necessary HPE during COVID-19, but also demonstrated that many HP educators and learners had little knowledge and experience of these complex sociotechnical environments. Due to the educational benefits and flexibility that technology can afford, many higher education experts agree that online learning will continue and evolve long after COVID-19.

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Collective cell behavior contributes to all stages of cancer progression. Understanding how collective behavior emerges through cell-cell interactions and decision-making will advance our understanding of cancer biology and provide new therapeutic approaches. Here, we summarize an interdisciplinary discussion on multicellular behavior in cancer, draw lessons from other scientific disciplines, and identify future directions.

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