Objective: The aim of this retrospective study was to evaluate a Dental Sleep Medicine Mini-Residency (DSMMR) continuing education (CE) program using the Kirkpatrick model.
Methods: After receiving ethical approval, data from participants in the 2019-2020 DSMMR CE course were included for the Kirkpatrick evaluation. The analysis was stratified and all the Kirkpatrick levels were integrated: level 1 (satisfaction) was assessed via Likert scale and open-ended questions; level 2 (learning) was evaluated using pretest and posttest knowledge data following Module 1 (M1) and an assessment of multiple-choice questions (MCQs) developed by participants; level 3 (behavior) was evaluated using Likert scale questions; and level 4 (results) was assessed via the percentage of participants who passed the American Board of Dental Sleep Medicine (ABDSM) examination on their first attempt.
Results: A total of 90 participants were included in the study. At least 83.1% of participants agreed/strongly agreed with positively worded statements about satisfaction. Knowledge scores significantly increased from pre-M1 to post-M1 (p < 0.001); however, only 15.2% of MCQs were evaluated as well-formulated. At least 88.6% of participants agreed/strongly agreed with positively worded statements about transfer of knowledge/skills to their practice. 91.1% passed the ABDSM examination on their first attempt.
Conclusion: The evaluation of the 2019-2020 DSMMR using the Kirkpatrick model suggests its overall positive impact as a training program. The Kirkpatrick model provided information that can be used to improve the quality of a program. Future studies should assess other dental CE programs using the Kirkpatrick model or another evaluation model.
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http://dx.doi.org/10.1002/jdd.13212 | DOI Listing |
Eur J Dent
December 2024
Department of Orthodontics, School of Dental Medicine, State University of New York at Buffalo, Buffalo, New York, United States.
Objectives: The primary objective was to evaluate the influence of sagittal skeletal pattern on mandibular movement (MM) during sleep in growing orthodontic populations. The secondary objective was to compare MM according to obstructive sleep apnea (OSA) status.
Materials And Methods: This cross-sectional study included subjects between 6 and 17 years old, presenting with class I, II, and III skeletal patterns and no previous history of orthodontic treatment.
Ann Neurol
January 2025
Department of Pediatric Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Objective: Monoallelic variants in the transient receptor potential melastatin-related type 3 gene (TRPM3) have been associated with neurodevelopmental manifestations, but knowledge on the clinical manifestations and treatment options is limited. We characterized the clinical spectrum, highlighting particularly the epilepsy phenotype, and the effect of treatments.
Methods: We analyzed retrospectively the phenotypes and genotypes of 43 individuals with TRPM3 variants, acquired from GeneMatcher and collaborations (n = 21), and through a systematic literature search (n = 22).
The existence of intersected pathways between the mechanisms of insomnia, sleep-disordered breathing and persistent/chronic pain has been documented. Such concurrence will eventually contribute to a higher burden of cardiometabolic diseases, a main cause of death worldwide. The aim of this study was to evaluate the interactions between insomnia, sleep-disordered breathing, cardiometabolic risk, and psychosocial stress in patients seeking care at an orofacial pain clinic.
View Article and Find Full Text PDFJAMA Otolaryngol Head Neck Surg
January 2025
Asia Sleep Centre, Singapore.
Front Med (Lausanne)
December 2024
Department of Family Medicine, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
The role of chronic stress in the development of chronic diseases, especially multimorbidity, through the pathways of increasing allostatic load, and finally, allostatic overload (the state when a compensatory mechanism is likely to fail) is being emphasized. However, allostatic load is a dynamic measure that changes depending on sex, gender, age, level and type of stress, experience of a stressful situation, and coping behaviors. Many other factors such as race, ethnicity, working environment, lifestyle, and circadian rhythm of sleep are also important.
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