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Aims: To verify whether oral health teams influence the oral health status, ventilator‐associated pneumonia incidence and mortality rate of patients in Intensive Care Units (ICU). Materials and Methods: Bibliographic searches were performed in PubMed, Scopus, Web of Science, Lilacs, Embase, Livivo, Open Grey, Academic Google, and Cochrane databases. The assessment of the methodological quality and risk of bias of the included studies and a random‐effects meta‐analysis to summarize relative risk data for ventilator‐associated pneumonia (VAP) and mortality were performed. An analysis of the certainty of the evidence was performed for the main outcomes analyzed. Results: Records of 518 studies were analyzed by reading titles and abstracts. Five studies were included according to eligibility criteria. The meta‐analysis showed that ICU patients undergoing dental care by an oral health team had a lower incidence of VAP (OR = 0.33; 95% CI: 014–0.76) but did not lower mortality rates (OR = 0.46 95% CI: 0.16–1.32). The certainty of the evidence was considered very low. Conclusion: Dental care provided by oral health teams in a hospital environment did not influence oral health status or mortality, although it contributed to a reduction in VAP of patients admitted to the ICU. [ABSTRACT FROM AUTHOR]

Objectives: To explore the factors associated with the waiting time for access to specialized care at Dental Specialties Centers (CEO, in Portuguese), by specialty (Stomatology, Surgery, Endodontics, Patients with Special Needs and Periodontology). Methods: The study was a descriptive and analytic exploratory secondary analysis of data from the 2nd phase of the National Program for Improving the Access to and Quality of CEO (PMAQ‐CEO, in Portuguese). All 1097 CEO in Brazil were evaluated in loco in 2018. Binary logistic regression was used to analyse the likelihood of users having a shorter time for assistance at CEO, by specialty. Results: The highest and lowest median waiting times were found for endodontics (30 days) and stomatology (5 days), respectively. Smaller centres (type I CEO) had a shorter waiting list for patients with special needs (95%CI: 1.20–3.37), Endodontics (95%CI: 1.03–3.02) and Surgery (95%CI: 1.04–3.05). As for the specialties with the longest waiting list (Endodontics and Surgery), the direct route of user access to CEO was more effective than that regulated by the Healthcare System. Conclusions: Factors related to the service, management, and to the form of relationship with primary health care influenced the waiting time for specialized care in CEO. The contact between professionals in the oral health network (primary care and secondary) was associated with a shorter waiting time, regardless of the specialty. [ABSTRACT FROM AUTHOR]