The aim of this research project was to learn more about work-related health risks among dental assistants in Flanders, Belgium. Forty-seven dental assistants completed an extensive questionnaire concerning ionized radiation, protection against infection and exposure to chemicals such as mercury, disinfectants and acrylates. Collective and personal means of protection, musculoskeletal disorders and work-related stress were also evaluated. Pain in the lower back, neck pain and shoulder pain were reported by, respectively, 15%, 17% and 22% of the respondents. Eczema resulting from skin irritation or contact-allergy was reported by 13%. Twenty-three percent of the assistants did not consistently make use ofa radiation badge; 80% wore a mouth mask and 33% wore protective glasses; and 82% was vaccinated against hepatitis B. Almost 10% reported verbal or physical aggression by patients. The mean stress score was 3.95 on a scale from 0 to 10. The results may contribute to the formulation of a number of recommendations for the improvement of the health of dental assistants.
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http://dx.doi.org/10.5177/ntvt.2011.07/08.11102 | DOI Listing |
J Public Health Dent
January 2025
Oral Health Workforce Research Center, Center for Health Workforce Studies, College of Integrated Health Sciences, University at Albany, State University of New York (SUNY), Rensselaer, New York, USA.
Objective: This study aimed to investigate changes in oral health services from 2012 to 2021 and identify factors influencing the number of different types of services directly provided by all Federally Qualified Health Centers (FQHCs).
Methods: Data from the 2012-2021 Uniform Data System were analyzed using multilevel mixed-effect negative binomial regression models. These models explored associations between oral health staffing, federal grant revenue, and state Medicaid dental policies for adults, and the number of different types of oral health services provided at FQHCs.
Health Res Policy Syst
January 2025
Plymouth Institute of Health and Care Research, Peninsula Dental School, Faculty of Health, University of Plymouth, Plymouth, PL4 8AA, UK.
Background: In the context of research priority-setting, participants express their research priorities and ideas in various forms, ranging from narratives to explicit topics or questions. However, the transition from these expressions to well-structured research topics or questions is not always straightforward. Challenges intensify when research priorities pertain to interventions or diagnostic accuracy, requiring the conversion of narratives into the Participant, Intervention, Comparator, Outcome (PICO) format.
View Article and Find Full Text PDFHealth Aff Sch
January 2025
Oral Health Workforce Research Center, Center for Health Workforce Studies, College of Integrated Health Sciences, University at Albany, State University of New York, Rensselaer, NY 12144, United States.
Previous research has assessed job satisfaction and related workplace factors among healthcare workers. However, studies on dental care professionals are limited. This study aimed to evaluate job satisfaction among US dental hygienists (DHs) and assistants (DAs) and identify workplace factors contributing to their job satisfaction or dissatisfaction.
View Article and Find Full Text PDFEvid Based Dent
January 2025
Public Health Directorate, NHS Lanarkshire, Kirklands, Fallside Road, Bothwell, G71 8BB, UK.
Objectives: To evaluate the use of the Penicillin Allergy Reassessment for Treatment Improvement (PARTI) tool in supporting appropriate penicillin allergy labelling in dental practices.
Design: Parallel mixed methods study.
Methods: Focus groups of patients with documented penicillin allergies and healthcare worker targeted questionnaires were used in gathering feedback on the PARTI tool's design and functionality.
Diagnostics (Basel)
December 2024
Department of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima 734-8553, Japan.
: Generative artificial intelligence (AI) such as ChatGPT has developed rapidly in recent years, and in the medical field, its usefulness for diagnostic assistance has been reported. However, there are few reports of AI use in dental fields. : We created 20 questions that we had encountered in clinical pediatric dentistry, and collected the responses to these questions from three types of generative AI.
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