title: Improving public health surveillance using a dual-frame survey of landline and cell phone numbers.
abstract: 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.
authors.affiliation: Office of Surveillance, Epidemiology and Laboratory Services, Centers for Disease Control and Prevention, 2500 Century Parkway, MS E-97, Atlanta, GA 30345, USA. shu@cdc.gov
authors.forename: S Sean
authors.initials: SS
authors.lastname: Hu
authors.forename: Lina
authors.initials: L
authors.lastname: Balluz
authors.forename: Michael P
authors.initials: MP
authors.lastname: Battaglia
authors.forename: Martin R
authors.initials: MR
authors.lastname: Frankel
mesh_terms: D000293:Adolescent; D000328:Adult; D040421:Cell Phone / Q000706:statistics & numerical data; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D016015:Logistic Models; D008297:Male; D015233:Models, Statistical; D016017:Odds Ratio; D010865:Pilot Projects; D011159:Population Surveillance / Q000379:methods*; D015995:Prevalence; D012307:Risk Factors; D012494:Sampling Studies; D013689:Telephone / Q000706:statistics & numerical data; D014481:United States / Q000453:epidemiology; D055815:Young Adult