Including mobile-only telephone users in a statewide preventive health survey-differences in the prevalence of health risk factors and impact on trends

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Baffour, Bernard, Roselli, Tim, Haynes, Michele, Bon, Joshua J., Western, Mark and Clemens, Susan. (2017). Including mobile-only telephone users in a statewide preventive health survey-differences in the prevalence of health risk factors and impact on trends United States of Amercia: Elsevier Inc.. https://doi.org/10.1016/j.pmedr.2017.05.009
AuthorsBaffour, Bernard, Roselli, Tim, Haynes, Michele, Bon, Joshua J., Western, Mark and Clemens, Susan
Abstract

The Queensland preventive health survey is conducted annually to monitor the prevalence of behavioural risk factors in the north-east Australian state. Prompted by domestic and international trends in mobile telephone usage, the 2015 survey incorporated both mobile and landline telephone numbers from a list-based sampling frame. Estimates for landline-accessible and mobile-only respondents are compared to assess potential bias in landline-only surveys in the context of public health surveillance. Significant differences were found in subcategories of all health prevalence estimates considered (alcohol consumption, body mass index, smoking, and physical activity) from 2015 survey results. Results from Australian and international studies that have considered mobile telephone non-coverage bias are also summarised and discussed. We find that adjusting for sampling biases of telephone surveys by weighting does not fully compensate for the differences in prevalence estimates. However, predicted trends from previous years' surveys only differ significantly for the 2015 prevalence estimates of alcohol consumption. We conclude that the inclusion of mobile telephones into standard telephones surveys is important for obtaining valid, reliable and representative data to reduce bias in health prevalence estimates. Importantly, unlike some international experiences, the addition of mobiles telephones into the Queensland preventive health survey occurred before population trends were significantly affected.

KeywordsHealth prevalence estimates; Non-coverage bias; Dual-frame survey; Public health surveillance; Telephone surveys
Year2017
PublisherElsevier Inc.
Place of publicationUnited States of Amercia
Page range91 - 98
ISSN2211-3355
Digital Object Identifier (DOI)https://doi.org/10.1016/j.pmedr.2017.05.009
Scopus EID2-s2.0-85020001157
Web address (URL)https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459564/
Research GroupInstitute for Learning Sciences and Teacher Education (ILSTE)
Publisher's version
File Access Level
Controlled
JournalPreventive Medicine Reports
Journal citation7, pp. 91 - 98
EditorsL. Franco and Z. Rosberger
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