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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
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 fro...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459564/ https://www.ncbi.nlm.nih.gov/pubmed/28593128 http://dx.doi.org/10.1016/j.pmedr.2017.05.009 |
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author | Baffour, Bernard Roselli, Tim Haynes, Michele Bon, Joshua J. Western, Mark Clemens, Susan |
author_facet | Baffour, Bernard Roselli, Tim Haynes, Michele Bon, Joshua J. Western, Mark Clemens, Susan |
author_sort | Baffour, Bernard |
collection | PubMed |
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 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. |
format | Online Article Text |
id | pubmed-5459564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-54595642017-06-07 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 Prev Med Rep Regular Article 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. Elsevier 2017-05-18 /pmc/articles/PMC5459564/ /pubmed/28593128 http://dx.doi.org/10.1016/j.pmedr.2017.05.009 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Regular Article Baffour, Bernard Roselli, Tim Haynes, Michele Bon, Joshua J. Western, Mark Clemens, Susan Including mobile-only telephone users in a statewide preventive health survey—Differences in the prevalence of health risk factors and impact on trends |
title | Including mobile-only telephone users in a statewide preventive health survey—Differences in the prevalence of health risk factors and impact on trends |
title_full | Including mobile-only telephone users in a statewide preventive health survey—Differences in the prevalence of health risk factors and impact on trends |
title_fullStr | Including mobile-only telephone users in a statewide preventive health survey—Differences in the prevalence of health risk factors and impact on trends |
title_full_unstemmed | Including mobile-only telephone users in a statewide preventive health survey—Differences in the prevalence of health risk factors and impact on trends |
title_short | Including mobile-only telephone users in a statewide preventive health survey—Differences in the prevalence of health risk factors and impact on trends |
title_sort | including mobile-only telephone users in a statewide preventive health survey—differences in the prevalence of health risk factors and impact on trends |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5459564/ https://www.ncbi.nlm.nih.gov/pubmed/28593128 http://dx.doi.org/10.1016/j.pmedr.2017.05.009 |
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