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http://dx.doi.org/10.1097/MEJ.0000000000000800 | DOI Listing |
J Eval Clin Pract
February 2025
Department of Obstetrics and Gynecology, Radboud University Medical Center, Nijmegen, The Netherlands.
Rationale: Chronic pelvic pain syndrome (CPPS) is prevalent and a complex multifactorial condition. The incidence is rising. CPPS patients may benefit from multidisciplinary care in a structured care pathway.
View Article and Find Full Text PDFJ Clin Nurs
December 2024
Foundation University Islamabad, Islamabad, Pakistan.
BMC Prim Care
December 2024
La Trobe Sports and Exercise Medicine Research Centre, School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, Australia.
Background: General practitioners (GPs) play a key role in managing osteoarthritis, including referring to appropriate management services. Physiotherapist-led osteoarthritis management programs and advanced practice triage services are effective, but GPs views on them are largely unknown. This study aimed to explore general practitioner perspectives on: (1) managing patients with hip and knee osteoarthritis, and (2) physiotherapy-led osteoarthritis care and referral pathways.
View Article and Find Full Text PDFJMIR Res Protoc
December 2024
Department of Nursing, Umeå University, Umeå, Sweden.
Background: There is a need to address the implementation of technological innovation into emergency medical services to facilitate and improve information exchange between prehospital emergency care providers, command centers, and hospitals during major incidents to enable better allocation of resources and minimize loss of life. At present, there is a lack of technology supporting real-time information sharing in managing major incidents to optimize the use of resources available.
Objective: The aim of this protocol is to develop, design, and evaluate information technology innovations for use in medical response to major incidents.
BMC Med
December 2024
Department of Biomedical Engineering, Montreal Neurological Institute, McGill University and Mila - Quebec AI Institute, Montreal, Canada.
Background: Pain is a complex problem that is triaged, diagnosed, treated, and billed based on which body part is painful, almost without exception. While the "body part framework" guides the organization and treatment of individual patients' pain conditions, it remains unclear how to best conceptualize, study, and treat pain conditions at the population level. Here, we investigate (1) how the body part framework agrees with population-level, biologically derived pain profiles; (2) how do data-derived pain profiles interface with other symptom domains from a whole-body perspective; and (3) whether biologically derived pain profiles capture clinically salient differences in medical history.
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