Maria Cecília Goi Porto Alves, Gizelton Pereira Alencar, Andrea Maria Duarte Vargas, Raquel Conceição Ferreira, Regina Tomie Ivata Bernal
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引用次数: 0
摘要
根据国家口腔健康政策的指导方针,自1980年代以来在巴西开展的口腔健康调查对流行病学监测至关重要。在调查中,应用的抽样计划发生了变化,包括研究领域的变化。在SB Brasil 2023年,通过扩大包括联邦单位和首都在内的领域,努力满足国家管理者的需求。本文提出了采样方案,并对dmft和dmft估计的精度进行了评估。抽样过程是分层的(首都和联邦单位内部),涉及两个阶段的聚类设计(人口普查区和家庭),年龄分别为15-19岁、35-44岁和65-74岁,而5岁和12岁则采用单阶段设计。计划的样本量在首都为250人(5岁和12岁)或300人(其他年龄组),另外在内地进行100次面谈,以获得联邦单位的估计数。每个阶层的人口普查区数量确定为对5岁或12岁的儿童进行250次访谈。在数据分析阶段,使用2022年全国连续家庭抽样调查的数据,通过基于性别、年龄和教育水平的后分层调整基本权重,旨在最大限度地减少选择和反应偏差。使用变异系数对dmft和dmft估计进行评估。对于首都和联邦单位,大多数估计都是精确的,其中首都的估计更为精确。
Sampling plan of SB Brasil 2023: precision of dmft and DMFT estimates for the study domains.
The oral health surveys conducted in Brazil since the 1980s, aligned with the guidelines of the National Oral Health Policy, have been essential for epidemiological surveillance. Over the surveys, variations in the applied sampling plans have occurred, including changes in the study domains. In SB Brasil 2023, an effort was made to meet the demands of state managers by expanding the domains including Federative Units and capitals. This study presents the sampling plan and assesses the precision of dmft and DMFT estimates for the defined domains. The sampling process was stratified (capitals and interior of the Federative Units) and involved a two-stage cluster design (census tract and households) for the age groups 15-19, 35-44, and 65-74 years, while a single-stage design was used for the ages of 5 and 12 years. The planned sample size was 250 (for ages 5 and 12) or 300 (for the other age groups) in the capitals, with an additional 100 interviews in the interior to obtain estimates for the Federative Units. The number of census tracts in each stratum was determined to achieve 250 interviews for the ages of 5 or 12 years. During the data analysis phase, base weights were adjusted through post-stratification based on sex, age, and education level, using data from the 2022 Continuous National Household Sample Survey, aiming to minimize selection and response biases. The dmft and DMFT estimates were evaluated using the coefficient of variation. Most estimates were precise, both for the capitals and for the Federative Units, with greater precision in the capitals.