Factors associated with absences from orthodontic treatment at a dental specialty center.

Autor:	Fonseca EP; Programa de Pós-Graduação em Odontologia, Faculdade de Odontologia de Piracicaba, UNICAMP. Av. Limeira 901, Areião. 13414-018 Piracicaba SP Brasil. emiliopraddo@ig.com.br., Silva JPD Junior; Centro de Especialidades Odontológicas, Consórcio Público de Saúde da Microrregião de Russas. Russas CE Brasil., Vedovello SAS; Programa de Pós-Graduação em Ortodontia, Fundação Hermínio Ometto-Uniararas. Araras SP Brasil., Souza LZ; Programa de Pós-Graduação em Ortodontia, Fundação Hermínio Ometto-Uniararas. Araras SP Brasil., Pereira AC; Programa de Pós-Graduação em Odontologia, Faculdade de Odontologia de Piracicaba, UNICAMP. Av. Limeira 901, Areião. 13414-018 Piracicaba SP Brasil. emiliopraddo@ig.com.br., Meneghim MC; Programa de Pós-Graduação em Odontologia, Faculdade de Odontologia de Piracicaba, UNICAMP. Av. Limeira 901, Areião. 13414-018 Piracicaba SP Brasil. emiliopraddo@ig.com.br.
Jazyk:	Portuguese; English
Zdroj:	Ciencia & saude coletiva [Cien Saude Colet] 2018 Jan; Vol. 23 (1), pp. 287-294.
DOI:	10.1590/1413-81232018231.26262015
Abstrakt:	The aim of this study was to identify the factors associated with the users failing to keep orthodontic treatment appointments (absences), in three regional dental specialty centers (CEO-R) located in the State of Ceará. Methodology: This was a cross-sectional epidemiological study with secondary data source of 3 CEO-R, from which 237 medical records of complete orthodontic treatments were examined, with 8.283 appointments and 2.665 (32.17%) missing appointments. Data collection was standardized by an electronic questionnaire.. Factors associated with users missing appointments were calculated by means of absence rates and thematic maps were constructed based on distributions of the geographical pattern of occurrence. To evaluate the association between the outcome variable (absence from treatment) and the independent variables (sex, age, breakage of appliance, change of professional, income and place of user's residence) multiple logistic regression analysis was used with p ≤ 0.05. Results: There were high absence rates for both city headquarters and non-headquarter CEO-Rs. The variable change of professional showed statistical significance, in relation to the number of absences. Conclusion: The highest number of absences was associated with change of professional.
Databáze:	MEDLINE
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