Accès ouvert
2026
article
OpenAlex
Åke Ingerman, Linda Block, Hanna Chin, Helena Odenstedt Hergès
Introduction: Competency-based and data-driven frameworks increasingly shape postgraduate anaesthesia training, yet much of professional learning occurs through unspoken cultural and relational influences-the implicit curriculum. This study examines how anaesthetists perceive and navigate these tacit aspects of learning. Methods: We conducted a phenomenographic …
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Accès ouvert
2026
article
OpenAlex
Maria Ahlerup, Johan A Malmgren, Albert Gyllencreutz Castellheim, Johan Holmen et autres
BACKGROUND: Decisions to withhold or withdraw life-sustaining treatments for critically ill children are challenging. This study aims to identify Swedish intensivists' attitudes, values and experiences towards the decision-making process concerning withholding or withdrawal of life-sustaining treatment in critically ill children. METHODS: The …
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Accès ouvert
2025
article
OpenAlex
Sandra Bjerkne Wenneberg, Linda Block, Jonatan Oras, Pia Löwhagen Hendèn et autres
Objectives: Mental fatigue is a common and debilitating symptom following an aneurysmal subarachnoid hemorrhage (aSAH). However, its long‐term prevalence and consequences remain unclear. In this longitudinal pilot study, the Mental Fatigue Scale (MFS) was used to evaluate the prevalence, severity, and dynamics …
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Accès ouvert
2025
article
OpenAlex
Richard Vithal, Ali El‐Merhi, Amar Chandan, Anna Kosovic et autres
Introduction: This study is aimed at investigating brain injury biomarkers neurofilament light (NfL), tau, neuron‐specific enolase (NSE), calcium‐binding protein S100B (S100B) and glial fibrillary acidic protein (GFAP) in blood during general anaesthesia and abdominal surgery in patients without cerebral injury, to evaluate …
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Accès ouvert
2024
article
OpenAlex
Hanna Chin, Åke Ingerman, Linda Block, Helena Odenstedt Hergès
BACKGROUND: A specialty training program is crucial for shaping future specialist doctors, imparting clinical knowledge and skills, and fostering a robust professional identity. This study investigates how anesthesiologists develop their professional identity while navigating unique challenges specific to their specialty. The formation …
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2023
conference-paper
OpenAlex
A. Helmersson, Faton Hoti, Sebastian Levander, Aliasgar Shereef et autres
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Accès ouvert
2023
article
OpenAlex
Alma Nordenskjöld Syrous, Guðný Stella Guðnadóttir, Jonatan Oras, Thalia Ferguson et autres
BACKGROUND: There are few studies on the differences in end-of-life decisions making in critically ill patients with and without coronavirus disease 2019 (COVID-19). This study aimed to investigate the independent factors that predicted the decision to withdraw or withhold life-sustaining treatments (LST) …
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Accès ouvert
2023
article
OpenAlex
Hanna Chin, Åke Ingerman, Helena Odenstedt Hergès
BACKGROUND: Training anesthesiologists poses challenges and complexities, particularly in defining and teaching excellence in anesthesia. Existing anesthesia curricula primarily emphasize the acquisition of knowledge, practical skills, and professional competencies, often neglecting the development of intangible skills like tacit knowledge. Despite efforts to …
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Accès ouvert
2023
preprint
OpenAlex
Hanna Chin, Åke Ingerman, Helena Odenstedt Hergès
Abstract Background There are challenges and complexities involved in training anesthesiologists, particularly in defining and teaching excellence in anesthesia. While formal curricula cover knowledge, practical skills, and professional competencies, the acquisition of less easily defined skills, such as tacit knowledge, is often …
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2023
conference-paper
OpenAlex
Miroslaw Staron, Helena Odenstedt Hergès, Linda Block, Martin Sjödin
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Accès ouvert
2022
article
OpenAlex
Sandra Bjerkne Wenneberg, Linda Block, Ann Sörbo, Silvana Naredi et autres
OBJECTIVES: The survival rates for patients affected by aneurysmal subarachnoid hemorrhage (aSAH) have increased in recent years; however, many patients continue to develop cognitive dysfunctions that affect their quality of life. The commonly used outcome measures often fail to identify these cognitive …
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Accès ouvert
2022
preprint
OpenAlex
Ali El‐Merhi, Helena Odenstedt Hergès, Linda Block, Mikael Elam et autres
Machine learning can be used to analyse physiological data for several purposes. Detection of cerebral ischemia is an achievement that would have high impact on patient care. We attempted to study if collection of continous physiological data from non-invasive monitors, and analysis …