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Summary of the Impact of the Inclusion of Mobile Phone Numbers into the NSW Population Health Survey in 2012
BACKGROUND: Although it was estimated that 20% of the population in Australia were mobile-only phone users in 2010, the inclusion of mobile numbers into computer-assisted telephone interviews (CATI) behavioural risk factor surveys did not occur until 2012. METHODS: Three papers have been published d...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIMS Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690277/ https://www.ncbi.nlm.nih.gov/pubmed/29546105 http://dx.doi.org/10.3934/publichealth.2015.2.210 |
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author | Barr, Margo Ferguson, Raymond van Ritten, Jason Hughes, Phil Steel, David |
author_facet | Barr, Margo Ferguson, Raymond van Ritten, Jason Hughes, Phil Steel, David |
author_sort | Barr, Margo |
collection | PubMed |
description | BACKGROUND: Although it was estimated that 20% of the population in Australia were mobile-only phone users in 2010, the inclusion of mobile numbers into computer-assisted telephone interviews (CATI) behavioural risk factor surveys did not occur until 2012. METHODS: Three papers have been published describing the methods, weighting strategy and the impact in detail of including mobile numbers into the NSW Population Health Survey (NSWPHS). This paper identifies the important components of those papers and summarises them for a broader audience. RESULTS: In the 2012 NSWPHS, 15,214 (15,149 with weights) interviews were completed (64% landline frame; 36% mobile frame). Response, cooperation and contact rates were 37%, 65% and 69% respectively. The inclusion of mobile phone numbers resulted in a sample that was closer to the NSW population profile and impacted on the time series of estimates for alcohol drinking, recommended fruit consumption, current smoking, and overweight or obesity. CONCLUSIONS: The papers found that including mobile phone numbers into NSWPHS did not impact negatively on response rates or data collection, but it did cost more and affect the time series for some behavioural risk factors, in that it corrected the estimates that had been produced from a sample frame that was progressively getting less representative of the population. |
format | Online Article Text |
id | pubmed-5690277 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | AIMS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56902772018-03-15 Summary of the Impact of the Inclusion of Mobile Phone Numbers into the NSW Population Health Survey in 2012 Barr, Margo Ferguson, Raymond van Ritten, Jason Hughes, Phil Steel, David AIMS Public Health Research Article BACKGROUND: Although it was estimated that 20% of the population in Australia were mobile-only phone users in 2010, the inclusion of mobile numbers into computer-assisted telephone interviews (CATI) behavioural risk factor surveys did not occur until 2012. METHODS: Three papers have been published describing the methods, weighting strategy and the impact in detail of including mobile numbers into the NSW Population Health Survey (NSWPHS). This paper identifies the important components of those papers and summarises them for a broader audience. RESULTS: In the 2012 NSWPHS, 15,214 (15,149 with weights) interviews were completed (64% landline frame; 36% mobile frame). Response, cooperation and contact rates were 37%, 65% and 69% respectively. The inclusion of mobile phone numbers resulted in a sample that was closer to the NSW population profile and impacted on the time series of estimates for alcohol drinking, recommended fruit consumption, current smoking, and overweight or obesity. CONCLUSIONS: The papers found that including mobile phone numbers into NSWPHS did not impact negatively on response rates or data collection, but it did cost more and affect the time series for some behavioural risk factors, in that it corrected the estimates that had been produced from a sample frame that was progressively getting less representative of the population. AIMS Press 2015-06-02 /pmc/articles/PMC5690277/ /pubmed/29546105 http://dx.doi.org/10.3934/publichealth.2015.2.210 Text en © 2015, Margo Barr, et al., licensee AIMS Press This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) |
spellingShingle | Research Article Barr, Margo Ferguson, Raymond van Ritten, Jason Hughes, Phil Steel, David Summary of the Impact of the Inclusion of Mobile Phone Numbers into the NSW Population Health Survey in 2012 |
title | Summary of the Impact of the Inclusion of Mobile Phone Numbers into the NSW Population Health Survey in 2012 |
title_full | Summary of the Impact of the Inclusion of Mobile Phone Numbers into the NSW Population Health Survey in 2012 |
title_fullStr | Summary of the Impact of the Inclusion of Mobile Phone Numbers into the NSW Population Health Survey in 2012 |
title_full_unstemmed | Summary of the Impact of the Inclusion of Mobile Phone Numbers into the NSW Population Health Survey in 2012 |
title_short | Summary of the Impact of the Inclusion of Mobile Phone Numbers into the NSW Population Health Survey in 2012 |
title_sort | summary of the impact of the inclusion of mobile phone numbers into the nsw population health survey in 2012 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690277/ https://www.ncbi.nlm.nih.gov/pubmed/29546105 http://dx.doi.org/10.3934/publichealth.2015.2.210 |
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