Layout 1 ISDS Annual Conference Proceedings 2012. This is an Open Access article distributed under the terms of the Creative Commons Attribution- Noncommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ISDS 2012 Conference Abstracts An Experimental Study Using Opt-in Internet Panel Surveys for Behavioral Health Surveillance Carol A. Gotway Crawford*1, Catherine A. Okoro1, Haci M. Akcin1 and Satvinder Dhingra2, 1 1Centers for Disease Control, Atlanta, GA, USA; 2Northrop Grumman, Atlanta, GA, USA Objective To present the design and preliminary results of a pilot study to in- vestigate the use of opt-in Internet panel surveys for behavioral health surveillance. Introduction Today, surveyors in both the private and public sectors are facing considerable challenges with random digit dialed (RDD) landline telephone samples. The population coverage rates for landline tele- phone surveys are being eroded by wireless-only households, portable telephone numbers, telecommunication barriers (e.g., call forwarding, call blocking and pager connections), technological bar- riers (call-blocking, busy circuits) and increased refusal rates and pri- vacy concerns. Addressing these issues increasingly drives up the costs associated with dual-frame telephone surveys designed to be representative of the target population as well as hinders their ability to be fully representative of the adult population of each state and ter- ritory in the United States. In an effort to continue to meet these challenges head on and as- sist state and territorial public health professionals in the continued collection of data that are representative of their respective popula- tions, novel approaches to behavioral health surveillance need con- tinued examination. Both private and public sector researchers are evaluating the use of Internet opt-in panels to augment dual-frame RDD survey methods. Compared to dual-frame RDD, opt-in Internet panels offer lower costs, quick data collection and dissemination, and the ability to gather additional data on panelists over time. However, as with dual-frame RDD, this mode has similar challenges with cov- erage error and non-response. Nevertheless, survey methodologists are moving forward and exploring ways to reduce or eliminate biases between the sample and the target population. Methods A collaborative pilot project was designed to assess the feasibility and accuracy of opt-in Internet panel surveys for behavioral health surveillance. This pilot project is a collaboration between the CDC, four state departments of health, opt-in Internet panel providers and the leads of several large surveys and systems such as the Patient- Reported Outcome Measures Information System (PROMIS) and the Cooperative Congressional Election Study (CCES). Pilot projects were conducted in four states (GA, IL, NY, and TX) and four Metro- politan Statistical Areas (Atlanta, Chicago, New York City, and Hous- ton). Data were collected using three different opt-in Internet panels and sampling methods that differ with respect to recruitment strat- egy, sample selection and sample matching to the adult population of each geography. A question bank consisting of 80 questions was de- veloped to benchmark with other existing surveys used to assess var- ious public health surveillance measures (e.g., the Behavioral Risk Factor Surveillance System, the PROMIS, National Survey on Drug Use and Health, and the CCES). Results We present comparative analyses that assess the advantages and disadvantages of different opt-in Internet panels sampling method- ologies across a range of parameters including cost, geography, time- liness, usability, and ease of use for technology transfer to states and local communities. Recommendations for future efforts in behavioral health surveillance are given based on these results. Keywords Random Digit Dialing; BRFSS; Survey Methods; Sample Matching; Representativeness References Ansolabehere S, Schaffner BF. 2010. Re-examining the validity of dif- ferent survey modes for measuring public opinion in the U.S.: Find- ings from a 2010 multi-mode comparison. http://projects.iq.harvard. edu/cces/files/ansolabehere_schaffner_mode.pdf. Curtin R, Presser S, Singer E. 2005. Changes in telephone survey nonre- sponse over the past quarter century. Public Opinion Quar- terly;69(1):87-98. Liu H, Cella D, Gershon R, Shen J, Morales LS, Riley W, Hays RD. 2010. Representativeness of the Patient-Reported Outcomes Measurement Information System Internet panel. J Clin Epidemiol 63(11):1169-78. Rivers, D., 2007. Sampling for Web Surveys, Paper presented at the Joint Statistical Meetings. http://www.laits.utexas.edu/txp_media/html/ poll/files/Rivers_matching.pdf *Carol A. Gotway Crawford E-mail: cdg7@cdc.gov Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 5(1):e24, 2013