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

Baffour, Bernard; Roselli, Tim; Haynes, Michele; Bon, Joshua J; Western, Mark; Clemens, Susan

Description

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...[Show more]

dc.contributor.authorBaffour, Bernard
dc.contributor.authorRoselli, Tim
dc.contributor.authorHaynes, Michele
dc.contributor.authorBon, Joshua J
dc.contributor.authorWestern, Mark
dc.contributor.authorClemens, Susan
dc.date.accessioned2017-06-22T05:31:44Z
dc.date.available2017-06-22T05:31:44Z
dc.identifier.issn2211-3355
dc.identifier.urihttp://hdl.handle.net/1885/117944
dc.description.abstractThe 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.
dc.description.sponsorshipThis study was funded by the Australian Research Council under the Linkage Funding scheme (grant number LP 130100744).
dc.format.mimetypeapplication/pdf
dc.publisherElsevier
dc.rights© 2017 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
dc.sourcePreventive medicine reports
dc.subjectdual-frame survey
dc.subjecthealth prevalence estimates
dc.subjectnon-coverage bias
dc.subjectpublic health surveillance
dc.subjecttelephone surveys
dc.titleIncluding mobile-only telephone users in a statewide preventive health survey-Differences in the prevalence of health risk factors and impact on trends
dc.typeJournal article
local.identifier.citationvolume7
dc.date.issued2017-09
local.publisher.urlhttp://www.elsevier.com/
local.type.statusPublished Version
local.contributor.affiliationBaffour, B., School of Demography, ANU College of Arts and Social Sciences, The Australian National University
dc.relationhttp://purl.org/au-research/grants/arc/LP130100744
local.bibliographicCitation.startpage91
local.bibliographicCitation.lastpage98
local.identifier.doi10.1016/j.pmedr.2017.05.009
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

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