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Background: While most Danish citizens never or very rarely call the national emergency helpline, 1-1-2, a few citizens call very often. In this article, we attend to the often-unheard voices of frequent callers, exploring why these citizens call 1-1-2 and why they often do not feel helped.

Methods: The article is based on a mixed-methods study on citizens in the Central Denmark Region who had called 1-1-2 five or more times during a period of six months in 2023.

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Introduction: The COVID-19 pandemic forced leaders and employees in health care services to take difficult decisions to manage risks associated with employee health and the organizations' functioning. This study aims to identify the changes in employee working routines, job demands, and job resources within Swedish maternal healthcare during the COVID-19 pandemic, and how these changes affected workload and health.

Methods: Data were derived from the longitudinal COPE Staff study involving midwives and physicians within maternal healthcare.

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Introduction: Hospital strain has been shown to negatively impact physician wellness, educational experience, and patient care. To address rising service demands, a non-academic hospitalist service was implemented to reduce daily clinical teaching unit (CTU) census by approximately 30%. Secondary aims were to evaluate physician and trainee wellness on CTU as well as assess unintended adverse patient outcomes.

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Associations between sedentary behaviour and sarcopenia among patients aged 40 and older with chronic obstructive pulmonary disease: a cross-sectional study.

BMC Public Health

January 2025

School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhua Xi Road, Lixia District, Jinan, Shandong Province, China.

Background: Patients with chronic obstructive pulmonary disease (COPD) and sarcopenia experience poorer clinical prognosis. Although sedentary behaviour (SB) is common risk factor for COPD, its relationship with sarcopenia in this specific population remains unclear.

Methods: This is a cross-sectional survey of participants aged 40 and above with COPD, involving 27 communities and 2 hospitals' outpatient departments.

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Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.

Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.

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