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Telephone coverage and health survey estimates: Evaluating the need for concern about wireless substitution

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  • Blumberg, S.J.
  • Luke, J.V.
  • Cynamon, M.L.

Abstract

Objectives. We sought to determine whether the exclusion of adults without landline telephones may bias estimates derived from health-related telephone surveys. Methods. We took data from the 2004 and 2005 National Health Interview Survey and used logistic regression to compare the odds of behavioral risk factors and health care service use for adults with landline telephones to those for adults with only wireless telephones and adults without any telephone service. Results. When interviewed, 7.2% of adults, including those who did and did not have wireless telephones, did not have landline telephones. Relative to adults with landline telephones, adults without landline telephones had greater odds of smoking and being uninsured, and they had lower odds of having diabetes, having a usual place for medical care, and having received an influenza vaccination in the past year. Conclusions. As people substitute wireless telephones for landline telephones, the percentage of adults without landline telephones has increased significantly but is still low, which minimizes the bias resulting from their exclusion from telephone surveys. Bias greater than 1 percentage point is expected only for estimates of health insurance, smoking, binge drinking, having a usual place for care, and receiving an influenza vaccination.

Suggested Citation

  • Blumberg, S.J. & Luke, J.V. & Cynamon, M.L., 2006. "Telephone coverage and health survey estimates: Evaluating the need for concern about wireless substitution," American Journal of Public Health, American Public Health Association, vol. 96(5), pages 926-931.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2004.057885_5
    DOI: 10.2105/AJPH.2004.057885
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    Cited by:

    1. Nicholas Economides & Katja Seim & V. Brian Viard, 2008. "Quantifying the benefits of entry into local phone service," RAND Journal of Economics, RAND Corporation, vol. 39(3), pages 699-730, September.
    2. Christina J. Diaz & Stephanie M. Koning & Ana P. Martinez-Donate, 2016. "Moving Beyond Salmon Bias: Mexican Return Migration and Health Selection," Demography, Springer;Population Association of America (PAA), vol. 53(6), pages 2005-2030, December.
    3. Brian J. Zikmund-Fisher & Mick P. Couper & Eleanor Singer & Carrie A. Levin & Floyd J. Fowler Jr. & Sonja Ziniel & Peter A. Ubel & Angela Fagerlin, 2010. "The DECISIONS Study: A Nationwide Survey of United States Adults Regarding 9 Common Medical Decisions," Medical Decision Making, , vol. 30(5_suppl), pages 20-34, September.
    4. Tammy Henderson & Maria Sirois & Angela Chen & Christopher Airriess & David Swanson & David Banks, 2009. "After a Disaster: Lessons in Survey Methodology from Hurricane Katrina," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 28(1), pages 67-92, February.
    5. Michelle M Van Handel & Bernard M Branson, 2015. "Monitoring HIV Testing in the United States: Consequences of Methodology Changes to National Surveys," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
    6. Brian J. Zikmund-Fisher & Mick P. Couper & Eleanor Singer & Peter A. Ubel & Sonja Ziniel & Floyd J. Fowler Jr. & Carrie A. Levin & Angela Fagerlin, 2010. "Deficits and Variations in Patients’ Experience with Making 9 Common Medical Decisions: The DECISIONS Survey," Medical Decision Making, , vol. 30(5_suppl), pages 85-95, September.
    7. Sofia Correia & Paulo Dinis & Francisco Rolo & Nuno Lunet, 2010. "Sampling procedures and sample representativeness in a national telephone survey: a Portuguese example," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 55(4), pages 261-269, August.
    8. Michael R. Greenberg & Marc D. Weiner, 2014. "Keeping Surveys Valid, Reliable, and Useful: A Tutorial," Risk Analysis, John Wiley & Sons, vol. 34(8), pages 1362-1375, August.

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