MGEN Foundation for Public Health, Paris, France.
J Clin Epidemiol. 2012 Nov;65(11):1181-9. doi: 10.1016/j.jclinepi.2012.05.002. Epub 2012 Aug 18.
Using register-based insurance data, we aimed to evaluate health-related differences between respondents and nonrespondents in a mailed epidemiologic survey, with a particular focus on mental health.
In 2005, 19,406 adults covered by the national education system health insurance plan were sent a general health questionnaire including a significant part devoted to mental health. Of them, 52% responded. Using multivariable logistic regression models, we compared participants and nonparticipants on various sociodemographic characteristics, morbidity variables, and health care utilization indicators derived from the routine health insurance databases, regardless of response status. Mental health was appraised through the reimbursement of psychiatric services and the volume of psychotropic prescriptions received in 2004-05.
In addition to traditional sociodemographic covariates of participation, we observed that respondents used more medical services than nonrespondents (visits to general practitioners, dentists, and specialists other than psychiatrists) but essentially for somatic disorders, as they also were prescribed significantly fewer psychotropic drugs.
Response bias may impact estimation quality even in apparently sociodemographically homogeneous populations. Our results confirmed that persons with mental complaints are less likely to respond to a survey focused on their troubles and illustrate the risk of underestimation of psychiatric disease in population-based surveys.
利用基于登记的保险数据,我们旨在评估邮寄流行病学调查中受访者和未受访者之间与健康相关的差异,特别关注心理健康。
2005 年,国家教育系统健康保险计划覆盖的 19406 名成年人收到了一份一般健康问卷,其中包括很大一部分专门针对心理健康的内容。其中 52%的人做出了回应。我们使用多变量逻辑回归模型,根据来自常规健康保险数据库的各种社会人口统计学特征、发病变量和医疗保健利用指标,比较了参与者和非参与者,而不论其回应状态如何。通过 2004-05 年精神科服务报销和精神药物处方数量来评估心理健康。
除了参与的传统社会人口统计学协变量外,我们还观察到受访者比未受访者使用更多的医疗服务(全科医生、牙医和精神病学家以外的专家的就诊),但主要是治疗躯体疾病,因为他们也被开了明显更少的精神药物。
即使在看似社会人口统计学同质的人群中,回应偏差也可能影响估计质量。我们的结果证实,有心理健康问题的人不太可能回应专注于他们问题的调查,这说明了在基于人群的调查中低估精神疾病的风险。