This study evaluated the factorial structure and invariance of the Multidimensional Assessment of Interoceptive Awareness-v2 (MAIA-2). We also investigated incremental validity of the MAIA-2 factors for predicting eating pathology beyond appetite-based interoception. US-based online respondents ( = 1294; =48.
View Article and Find Full Text PDFIntroduction: Given the challenges in diagnosing children with long COVID, we sought to explore diagnostic practices and preferences among clinicians.
Methods: A ten-question survey assessed pediatric providers' clinical decision making for identifying and evaluating long COVID in children. Of the 120 survey respondents, 84 (70%) were physicians, 31 (26%) nurse practitioners, and 5 (4%) physician assistants.
Background: Because tertiary centres are generally situated at urban sites, it is unclear whether patients in rural areas have the same access to surgical services that patients in urban areas do. We sought to map the North American evidence landscape of how rurality affects access to medically indicated surgeries and identify system-, patient-, and provider-level barriers that preclude urban-comparable care.
Methods: We carried out a systematic search adhering to PRISMA for Scoping Reviews methodology across PubMed, MEDLINE, Scopus, and Web of Science, encompassing literature from the last 26 years (January 2023).
Introduction: The shortage of physicians in rural Canada is a continuing challenge. Canadian medical schools have adapted strategies to increase the supply of rural physicians. This study appraises the effectiveness of the living library (also called Human Library©) in medical education, as an avenue for medical and pre-medical students to engage in dialogue with rural health professionals.
View Article and Find Full Text PDFSystematic error, often referred to as bias is an inherent challenge in observational cardiovascular research, and has the potential to profoundly influence the design, conduct, and interpretation of study results. If not carefully considered and managed, bias can lead to spurious results, which can misinform clinical practice or public health initiatives and compromise patient outcomes. This methodological primer offers a concise introduction to the identification, evaluation, and mitigation of bias in observational cardiovascular research studies assessing the causal association of an exposure (or treatment) on an outcome.
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