Profiling the mobile‐only population in Australia: insights from the Australian National Health Survey

Abstract Background: The Australian population that relies on mobile phones exclusively has increased from 5% in 2005 to 29% in 2014. Failing to include this mobile‐only population leads to a potential bias in estimates from landline‐based telephone surveys. This paper considers the impacts on selec...

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Bibliographic Details
Main Authors: Bernard Baffour, Michele Haynes, Shane Dinsdale, Mark Western, Darren Pennay
Format: Article
Language:English
Published: Wiley 2016-10-01
Series:Australian and New Zealand Journal of Public Health
Subjects:
Online Access:https://doi.org/10.1111/1753-6405.12549
Description
Summary:Abstract Background: The Australian population that relies on mobile phones exclusively has increased from 5% in 2005 to 29% in 2014. Failing to include this mobile‐only population leads to a potential bias in estimates from landline‐based telephone surveys. This paper considers the impacts on selected health prevalence estimates with and without the mobile‐only population. Methods: Using data from the Australian Health Survey – which, for the first time, included a question on telephone status – we examined demographic, geographic and health differences between the landline‐accessible and mobile‐only population. These groups were also compared to the full population, controlling for the sampling design and differential non‐response patterns in the observed sample through weighting and benchmarking. Results: The landline‐accessible population differs from the mobile‐only population for selected health measures resulting in biased prevalence estimates for smoking, alcohol risk and private health insurance coverage in the full population. The differences remain even after adjusting for age and gender. Conclusions: Using landline telephones only for conducting population health surveys will have an impact on prevalence rate estimates of health risk factors due to the differing profiles of the mobile‐only population from the landline‐accessible population.
ISSN:1326-0200
1753-6405