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Hum Resour Health ; 11: 67, 2013 Dec 23.
Article in English | MEDLINE | ID: mdl-24365451

ABSTRACT

BACKGROUND: To describe some sociodemographic and educational characteristics of oral health technicians (OHTs) in public primary health care teams in the state of Minas Gerais, Brazil. METHODS: A cross-sectional descriptive study was performed based on the telephone survey of a representative sample comprising 231 individuals. A pre-tested instrument was used for the data collection, including questions on gender, age in years, years of work as an OHT, years since graduation as an OHT, formal schooling, individual income in a month, and participation in continuing educational programmes. The descriptive statistic was developed and the formation of clusters, by the agglomerative hierarchy technique based on the furthest neighbour, was based on the age, years of work as an OHT, time since graduation as an OHT, formal schooling, individual income in a month, and participation in continuing educational programmes. RESULTS: Most interviewees (97.1%) were female. A monthly income of USD 300.00 to 600.00 was reported by 77.5% of the sample. Having educational qualifications in excess of their role was reported by approximately 20% of the participants. The median time since graduation was six years, and half of the sample had worked for four years as an OHT. Most interviewees (67.6%) reported having participated in professional continuing educational programmes. Two different clusters were identified based on the sociodemographic and educational characteristics of the sample. CONCLUSIONS: The Brazilian OHTs in public primary health care teams in the state of Minas Gerais are mostly female who have had little time since graduation, working experience, and formal schooling sufficient for professional practice.


Subject(s)
Dental Health Services/statistics & numerical data , Dental Technicians/statistics & numerical data , Adult , Brazil , Cross-Sectional Studies , Dental Technicians/economics , Dental Technicians/education , Education, Medical, Continuing , Educational Status , Female , Humans , Male , Middle Aged , Primary Health Care/statistics & numerical data , Salaries and Fringe Benefits/statistics & numerical data , Sex Distribution , Socioeconomic Factors , Surveys and Questionnaires , Young Adult
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