Results 191 to 200 of about 38,646 (309)

Shared Decision‐Making Theories, Conceptual Models, and Frameworks Within Oral Healthcare: A Theory Analysis

open access: yesInternational Journal of Dental Hygiene, EarlyView.
ABSTRACT Objective To appraise the quality of theories, conceptual models, and theoretical frameworks about SDM for oral healthcare practices. Background Shared decision‐making (SDM) is crucial to person‐centred care. Yet little is known about how (and if) patient engagement in SDM is conceptualised in oral healthcare.
Jessica Persson Kylén   +3 more
wiley   +1 more source

The Impact of Periodontal Health Interventions on the Risk of Ischemic Stroke: A Systematic Review and Meta‐Analysis

open access: yesInternational Journal of Dental Hygiene, EarlyView.
ABSTRACT Aim To systematically review the evidence on the relationship between periodontal health interventions and the risk of first‐ever ischemic stroke. Materials and Methods Search strategy included electronic and hand searching to January 2025. MEDLINE (OVID), EMBASE (OVID), SCOPUS, LILACS, Web of Science (WOS) and Cochrane Central Register of ...
Jorge Moldes   +7 more
wiley   +1 more source

Dental insurance: Boulevard for stakeholders

open access: yesJournal of Indian Society of Pedodontics and Preventive Dentistry, 2015
openaire   +3 more sources

The Association Between Depression and Use of Dental Services Among U.S. Adults

open access: yesInternational Journal of Dental Hygiene, EarlyView.
ABSTRACT Aim To assess the use of dental services among depressed individuals and whether the association is independent from the need for dental care. Methods Data were from the National Health and Nutrition Examination Survey (NHANES) (2017–2020), a cross‐sectional survey of U.S. adults.
Nabiela Rahardia   +2 more
wiley   +1 more source

Machine Learning‐Based Prediction of Dental Caries in 12‐Year‐Old Adolescents: A Nationwide Cross‐Sectional Study in Korea

open access: yesInternational Journal of Dental Hygiene, EarlyView.
ABSTRACT Objective We aimed to develop and evaluate machine learning models to support population‐level risk stratification for dental caries in the permanent dentition of 12‐year‐old Korean children and to visualise the relative importance of key predictors.
Gahyun Cho   +4 more
wiley   +1 more source

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