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| http://dx.doi.org/10.46747/cfp.6707550 | DOI Listing |
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Residency training programs to support residents working in First Nations, Inuit, and Métis communities.
BMC Med Educ
January 2025
Department of Paediatrics, Faculsty of Medicine and Dentistry, College of Health Sciences, University of Alberta, 3-490 Edmonton Clinic Health Academy, 11405-87 Avenue NW, Edmonton, AB, T6G 1C9, Canada.
Background: To gain culturally appropriate awareness of First Nations, Inuit and/or Métis Health, research suggests that programs focus on sending more trainees to First Nations, Inuit and/or Métis communities Working within this context provides experiences and knowledge that build upon classroom education and support trainees' acquisition of skills to engage in culturally safe healthcare provision. This study examines residents' and faculty members' perceptions of how residency training programs can optimize First Nations, Inuit and/or Métis health training and support residents in gaining the knowledge, skills, and experiences for working in and with First Nations, Inuit and/or Métis communities.
Methods: A qualitative approach was used, guided by a relational lens for collecting data and a constructivist grounded theory for data interpretation.
Impact of changes in primary care attachment: a scoping review.
Fam Med Community Health
January 2025
Institut du Savoir Montfort, Ottawa, Ontario, Canada
Objectives: Primary care attachment represents an inclusive, equitable and cost-effective way of enhancing health outcomes globally. However, the growing shortage of family physicians threatens to disrupt patient-provider relationships. Understanding the consequences of these disruptions is essential for guiding future research and policy.
View Article and Find Full Text PDFDiagnostic accuracy of an automated classifier for the detection of pleural effusions in patients undergoing lung ultrasound.
Am J Emerg Med
January 2025
Division of Critical Care Medicine, Western University, London, ON N6A 5C1, Canada.
Rationale: Lung ultrasound, the most precise diagnostic tool for pleural effusions, is underutilized due to healthcare providers' limited proficiency. To address this, deep learning models can be trained to recognize pleural effusions. However, current models lack the ability to diagnose effusions in diverse clinical contexts, which presents significant challenges.
View Article and Find Full Text PDFUnderstanding of Clinical Trials Among Patients With Cancer and Their Relatives.
JAMA Netw Open
January 2025
Ankara University Faculty of Medicine, Department of Medical Oncology, Ankara, Turkey.
Importance: Clinical trials are vital for advancing cancer treatments and improving patient outcomes. Understanding the factors that influence participants' decision-making is critical for enhancing trial recruitment.
Objective: To evaluate the attitudes of patients with cancer and their relatives toward clinical trial participation, identifying key barriers and motivators that affect their willingness to engage in such trials.
Evaluating and Comparing the Content Coverage of Quality Measure Sets from Israel, the United States, and the United Kingdom.
J Gen Intern Med
January 2025
Braun School of Public Health and Community Medicine, Hadassah Medical Organization, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.
Background: Quality of care can be measured in several dimensions: different clinical disciplines, structures/processes/outcomes of care (SPO), and also different domains of quality (effectiveness, safety, care coordination, patient-centeredness, efficiency, timeliness, and community/population health). To our knowledge, no previous study has compared different sets of performance measures in terms of how well they cover these different aspects of quality.
Objective: Compare the content coverage of major quality measure sets from Israel, the US, and the UK.
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