Corey C R, Freeman H E
Department of Sociology, University of California, Los Angeles 90024.
Health Serv Res. 1990 Apr;25(1 Pt 1):129-44.
Increasingly, telephone interviewing has become the data collection procedure of choice in large-scale health services research surveys. Previous analyses indicate that excluding nontelephone households does not seriously affect most national parameter estimates, such as yearly estimates of number of ambulatory visits, mainly because the proportion of households without telephones is small. Moreover, if the exclusion of nontelephone households simply underestimates the proportions in the population with certain characteristics, such as age and ethnicity, and the "true" proportions are known, it is possible to appropriately weight the study group in order to mitigate the telephone-exclusion bias. However, regression analyses undertaken on three years of national Health Interview Surveys indicate, at least on some key measures such as having health insurance, that persons living in households with and without telephones represent different populations, and parameter estimates are distorted by excluding nontelephone households. Under these circumstances, it is not possible to adjust parameter estimates to take into account nontelephone households.
在大规模的卫生服务研究调查中，电话访谈越来越成为首选的数据收集方式。以往的分析表明，排除无电话家庭并不会严重影响大多数国家参数估计值，比如门诊就诊次数的年度估计值，主要是因为无电话家庭的比例较小。此外，如果排除无电话家庭仅仅是低估了具有某些特征（如年龄和种族）的人群比例，并且“真实”比例已知，那么就有可能对研究组进行适当加权，以减轻电话排除偏差。然而，对三年全国健康访谈调查进行的回归分析表明，至少在一些关键指标（如有医疗保险）上，有电话家庭和无电话家庭中的人代表不同的人群，排除无电话家庭会扭曲参数估计值。在这种情况下，不可能调整参数估计值以考虑无电话家庭的情况。
