Background: More than 33% of Canadians live in rural areas. The vulnerability of rural surgical patients makes them particularly sensitive to barriers to accessing health care. This study aims to describe rural patients' experiences accessing local nonspecialist, family physician-surgeon care and regional specialist surgical care when no local surgical care was available.
Methods: We conducted a qualitative pilot study of self-selected patients. Interviews were analyzed using a modified Delphi technique and NVivo qualitative software.
Results: The needs of rural surgical patients were reflective of Maslow's hierarchy of needs: physiologic, safety and security, community belonging and self-esteem/self-actualization. Rural patients expressed a strong desire for individualized care in a familiar environment. When such care was not available, patients found it difficult to meet even basic physiologic needs. Maternity patients and marginalized populations were particularly vulnerable.
Conclusion: Rural patients seem to prefer individualized care in a familiar environment to address more of their qualitative emotional, psychological and cultural needs rather than only the physiologic needs of surgery. Larger studies are needed to delineate more clearly the qualitative aspects of surgical care.
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BMC Health Serv Res
January 2025
Pain Research Unit, Department of Anesthesia and Pain Management, Toronto General Hospital, University Health Network, Toronto, ON, Canada.
Evidence-based treatment of chronic pain requires a multidisciplinary approach grounded in the biopsychosocial model. Implementing this approach within health systems relies on its acceptance by both healthcare providers and patients. While pioneering multidisciplinary pain clinics can serve as a model for implementation, a systematic effort is needed to share knowledge effectively and broadly.
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January 2025
Medical Surgical Nursing Department, Faculty of Nursing, Alexandria University, Alexandria, Egypt.
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J Cardiothorac Surg
January 2025
Clinical Research Development Unit, Shafa Hospital, Kerman University of Medical Sciences, Kerman, Iran.
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Orphanet J Rare Dis
January 2025
Laboratory of Neurogenetics and Molecular Medicine, Center for Genomic Sciences in Medicine, Institut de Recerca Sant Joan de Déu, Únicas SJD Center, Hospital Sant Joan de Déu, Barcelona, Spain.
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BMC Oral Health
January 2025
Bangkok Hospital Dental Center Holistic Care and Dental Implant, Bangkok Hospital, Bangkok, 10310, Thailand.
Background: Assessing the difficulty of impacted lower third molar (ILTM) surgical extraction is crucial for predicting postoperative complications and estimating procedure duration. The aim of this study was to evaluate the effectiveness of a convolutional neural network (CNN) in determining the angulation, position, classification and difficulty index (DI) of ILTM. Additionally, we compared these parameters and the time required for interpretation among deep learning (DL) models, sixth-year dental students (DSs), and general dental practitioners (GPs) with and without CNN assistance.
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