Bernal Regina Tomie Ivata, Malta Deborah Carvalho, de Morais Neto Otaliba Libânio, Claro Rafael Moreira, Mendoça Braulio Cesar de Alcantara, de Oliveira Antonio Cesar Cabral, da Silva Nilza Nunes
Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP, Brasil.
Escola de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil.
Rev Bras Epidemiol. 2014 Jan-Mar;17(1):163-74. doi: 10.1590/1415-790x201400010013eng.
The Telephone Survey has several attractions, such as low operational costs and speed the process, when compared to the Household Survey. However, the exclusion of house holds without a landline phone canpose a serious question of the valid it yof the estimates.
Evaluating the use of post stratification adjustments to correct the potential biasdue to low coverage of landline phonein the results published in the Vigitel system.
We compared the prevalence obtained by the Household Survey and the Vigitel, in Aracaju, Sergipe, where 49% of households had a telephone, calculating the differences measured between the surveys thatused the square root mean square error as a measure of accuracy of the estimate.
The Household Survey showed ten variables associated with landline phone. From this set of variables, post stratification weights corrected the potential bias of the consumption of beans in five or more days per week, vegetables intake regularly and recommended self-assessment of health as bad and morbidity of diabetes,while the weights partially eliminated the bias of the prevalence of asthma, possession of health insurance coverage and prevention of breast cancer in women aged 50 to 59 years.
In order to reduce the potential bias in the results published by Vigitel system, in areas with low telephone coverage, it becomes necessary to use alternative weighting procedures and selection strategy of external variables for construction of post-stratification weights.
与家庭调查相比,电话调查有几个吸引人之处,比如运营成本低且能加快调查进程。然而,排除没有固定电话的家庭可能会对估计的有效性提出严重质疑。
评估使用事后分层调整来纠正因固定电话覆盖率低而在Vigitel系统公布的结果中产生的潜在偏差。
我们比较了在塞尔希培州阿拉卡茹市家庭调查和Vigitel调查得出的患病率,该市49%的家庭有电话,计算使用均方根误差作为估计准确性衡量指标的调查之间的差异。
家庭调查显示有十个变量与固定电话相关。从这组变量中,事后分层权重纠正了每周食用豆类五天或更多天、定期摄入蔬菜以及自我评估健康状况差和糖尿病发病率的潜在偏差,而这些权重部分消除了哮喘患病率、拥有医疗保险覆盖范围以及50至59岁女性预防乳腺癌的偏差。
为了减少Vigitel系统公布的结果中的潜在偏差,在电话覆盖率低的地区,有必要使用替代加权程序和选择外部变量的策略来构建事后分层权重。