Background: Migraine underdiagnosis and undertreatment are so widespread, that hence is essential to diagnose migraine sufferers in nonclinical settings. A systematic review of validation studies on migraine diagnostic tools applicable to nonclinical settings can help researchers and practitioners in tool selection decisions.
Objective: To systematically review and critically assess published validation studies on migraine diagnostic tools for use in nonclinical settings, as well as to describe their diagnostic performance.
Methods: A multidisciplinary workgroup followed transparent and systematic procedures to collaborate on this work. PubMed, Medline, and Web of Science were searched for studies up to January 17, 2022. The QUADAS-2 was employed to assess methodological quality, and the quality thresholds adopted by the Global Burden Disease study were used to tail signaling questions.
Results: From 7,214 articles identified, a total of 27 studies examining 19 tools were eligible for inclusion. There has been no high-quality evidence to support any tool for use of migraine diagnosis in nonclinical settings. The diagnostic accuracy of the ID-migraine, structured headache and HARDSHIP questionnaires have been supported by moderate-quality evidence, with sensitivity and specificity above 70%. Of them, the HARDSHIP questionnaire has been the most extensively validated. The remaining 16 tools have provided poor-quality evidence for migraine diagnosis in nonclinical populations.
Conclusions: Up till now, the HARDSHIP questionnaire is the optimal choice for diagnosing migraine in nonclinical settings, with satisfactory diagnostic accuracy supported by moderate methodological quality. This work reveals the crucial next step, which is further high-quality validation studies in diverse nonclinical population groups.
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http://dx.doi.org/10.1055/s-0042-1756490 | DOI Listing |
Purpose: This study explores uses of artificial intelligence (AI) in health professions education for non-psychomotor skills training at undergraduate, postgraduate, and continuing health professions education levels for education program development, delivery, and evaluation.
Method: This scoping review was conducted in 5 stages: (1) planning and research, (2) search strategy, (3) screening and selection, (4) review and recording data, and (5) synthesis. Seven bibliographic databases were searched using the main search terms artificial intelligence and continuing health professional education for articles that used AI for the purposes of non-psychomotor skills training for health professions education and involved health care professionals and/or trainees.
Ann Intern Med
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Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore; and Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland (T.M.B.).
Background: Guidelines emphasize quiet settings for blood pressure (BP) measurement.
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Design: Randomized crossover trial of adults in Baltimore, Maryland.
Personal Ment Health
February 2025
Department of Addiction, School of Behavioral Sciences and Mental Health (Tehran Institute of Psychiatry), Iran University of Medical Sciences, Tehran, Iran.
Background: This study aimed to adapt and evaluate the psychometric properties of the PID5BF + M as a brief measure for assessing DSM-5 and ICD-11 personality disorder traits in Iranian drug users. The sample consisted of 380 participants, including both clinical (28.68%) and nonclinical (71.
View Article and Find Full Text PDFSensors (Basel)
January 2025
German Center for Vertigo and Balance Disorders (DSGZ), LMU University Hospital, LMU Munich, 81377 Munich, Germany.
Instrumented gait analysis is widely used in clinical settings for the early detection of neurological disorders, monitoring disease progression, and evaluating fall risk. However, the gold-standard marker-based 3D motion analysis is limited by high time and personnel demands. Advances in computer vision now enable markerless whole-body tracking with high accuracy.
View Article and Find Full Text PDFJ Clin Med
January 2025
Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Layperson cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use are vital for improving survival rates after out-of-hospital cardiac arrest (OHCA), yet their application varies by community demographics. We evaluated the concerns and factors influencing willingness to perform CPR and use AEDs among laypersons in high-risk, low-resource communities. From April 2022 to March 2024, laypersons in Northern Manhattan's Community District 12 completed surveys assessing their attitudes toward CPR and AED use before attending Hands-Only CPR training.
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