Direct access referral for radiological investigations from General Practice (GP) provides an indispensable diagnostic tool and avoids the inherently long waiting time that referral through a hospital based specialty would entail. Improving access to hospital based radiology services is one of Health Information and Quality Authority's key recommendations in its report on patient referrals from general practice. This study aimed to review all GP referrals for ultrasound investigations to a tertiary referral teaching hospital over a seven month period with respect to their demographics, waiting times and diagnostic outcomes. 1,090 ultrasounds originating in general practice were carried out during the study period. Positive findings were recorded in 332 (30.46%) examinations. The median waiting time from receipt of referral to the diagnostic investigation was 56 days (range 16 - 91 years). 71 (6.5%) patients had follow-up imaging investigations while recommendation for hospital based specialty referral was made in 35 cases (3.2%). Significant findings included abdominal aortic aneurysms, metastatic disease and lymphoma. Direct access to ultrasound for general practitioners allows the referring physician to make an informed decision with regard to the need for specialist referral. We believe these findings help support the case for national direct access to diagnostic ultrasound for general practitioners.
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Afr J Prim Health Care Fam Med
December 2024
Department of Family Medicine, Federal Medical Centre, Abeokuta.
The training of Family Medicine residents in the West Africa College of Physicians (WACP) has steadily upscaled to a competency-based approach over the years. The latest review of the curriculum (2022) includes self-directed online modules on clinical postings, health management, patient safety, quality assurance research and medical education among others. The operationalisation of the revised curriculum involves the use of workplace-based tools for formative assessments.
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January 2025
Division of Healthcare Engineering, Department of Radiation Oncology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Background: Burnout negatively impacts healthcare professionals' well-being, leading to an increased risk of human errors and patient harm. There are limited assessments of burnout and associated stressors among acute care and trauma surgery teams.
Methods: Acute care and trauma surgery team members at a US academic medical center were administered a survey that included a 2-item Maslach Burnout Inventory and 21 workplace stressors based on the National Academy of Medicine's systems model of clinician burnout and professional well-being.
Front Immunol
January 2025
Department of Pathology, Microbiology & Immunology, New York Medical College, Valhalla, NY, United States.
Rationale: Approximately 32 million people in the United States suffer from food allergies. Some food groups, such as legumes - peanuts, tree nuts, fish, and shellfish, have a high risk of cross-reactivity. However, the murine model of multiple food group cross-reactivity is limited.
View Article and Find Full Text PDFJ Am Stat Assoc
April 2021
University of Geneva, Geneva, Switzerland.
Latent time series models such as (the independent sum of) ARMA(, ) models with additional stochastic processes are increasingly used for data analysis in biology, ecology, engineering, and economics. Inference on and/or prediction from these models can be highly challenging: (i) the data may contain outliers that can adversely affect the estimation procedure; (ii) the computational complexity can become prohibitive when the time series are extremely large; (iii) model selection adds another layer of (computational) complexity; and (iv) solutions that address (i), (ii), and (iii) simultaneously do not exist in practice. This paper aims at jointly addressing these challenges by proposing a general framework for robust two-step estimation based on a bounded influence M-estimator of the wavelet variance.
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September 2023
Department of Surgery, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, Michigan 48109, United States.
Introduction: Case-based learning (CBL) utilizes authentic clinical cases that connect theory to practice. CBL has been shown to result in deeper learning and high engagement of adult learners. An open-source, web-based CBL module was created to help learners develop the cognitive foundation of ectopic pregnancy management in the low-resource setting.
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