Improving Public Health Surveillance Using a Dual-Frame Survey of Landline and Cell Phone Numbers

被引:111
作者
Hu, S. Sean [1 ]
Balluz, Lina [1 ]
Battaglia, Michael P. [2 ]
Frankel, Martin R. [3 ]
机构
[1] Ctr Dis Control & Prevent, Off Surveillance Epidemiol & Lab Serv, Div Behav Surveillance, Publ Hlth Surveillance Program Off, Atlanta, GA 30345 USA
[2] ABT Associates Inc, Cambridge, MA 02138 USA
[3] CUNY Bernard M Baruch Coll, Dept Stat & Comp Informat Syst, Zicklin Sch Business, New York, NY 10010 USA
关键词
data collection; epidemiologic methods; population surveillance; sampling studies; selection bias; telephone; NONCOVERAGE BIAS; UNITED-STATES; IMPACT; US;
D O I
10.1093/aje/kwq442
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
To meet challenges arising from increasing rates of noncoverage in US landline-based telephone samples due to cell-phone-only households, the Behavioral Risk Factor Surveillance System (BRFSS) expanded a traditional landline-based random digit dialing survey to a dual-frame survey of landline and cell phone numbers. In 2008, a survey of adults with cell phones only was conducted in parallel with an ongoing landline-based health survey in 18 states. The authors used the optimal approach to allocate samples into landline and cell-phone-only strata and used a new approach to weighting state-level landline and cell phone samples. They developed logistic models for each of 16 health indicators to examine whether exclusion of adults with cell phones only affected estimates after adjustment for demographic characteristics. The extents of the potential biases in landline telephone surveys that exclude cell phones were estimated. Biases resulting from exclusion of adults with cell phones only from the landline-based survey were found for 9 out of the 16 health indicators. Because landline noncoverage rates for adults with cell phones only continue to increase, these biases are likely to increase. Use of a dual-frame survey of landline and cell phone numbers assisted the BRFSS efforts in obtaining valid, reliable, and representative data.
引用
收藏
页码:703 / 711
页数:9
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