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Measuring participant rurality in Web-based interventions

BACKGROUND: Web-based health behavior change programs can reach large groups of disparate participants and thus they provide promise of becoming important public health tools. Data on participant rurality can complement other demographic measures to deepen our understanding of the success of these p...

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Autores principales: Danaher, Brian G, Hart, L Gary, McKay, H Garth, Severson, Herbert H
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2080635/
https://www.ncbi.nlm.nih.gov/pubmed/17764564
http://dx.doi.org/10.1186/1471-2458-7-228
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author Danaher, Brian G
Hart, L Gary
McKay, H Garth
Severson, Herbert H
author_facet Danaher, Brian G
Hart, L Gary
McKay, H Garth
Severson, Herbert H
author_sort Danaher, Brian G
collection PubMed
description BACKGROUND: Web-based health behavior change programs can reach large groups of disparate participants and thus they provide promise of becoming important public health tools. Data on participant rurality can complement other demographic measures to deepen our understanding of the success of these programs. Specifically, analysis of participant rurality can inform recruitment and social marketing efforts, and facilitate the targeting and tailoring of program content. Rurality analysis can also help evaluate the effectiveness of interventions across population groupings. METHODS: We describe how the RUCAs (Rural-Urban Commuting Area Codes) methodology can be used to examine results from two Randomized Controlled Trials of Web-based tobacco cessation programs: the ChewFree.com project for smokeless tobacco cessation and the Smokers' Health Improvement Program (SHIP) project for smoking cessation. RESULTS: Using RUCAs methodology helped to highlight the extent to which both Web-based interventions reached a substantial percentage of rural participants. The ChewFree program was found to have more rural participation which is consistent with the greater prevalence of smokeless tobacco use in rural settings as well as ChewFree's multifaceted recruitment program that specifically targeted rural settings. CONCLUSION: Researchers of Web-based health behavior change programs targeted to the US should routinely include RUCAs as a part of analyzing participant demographics. Researchers in other countries should examine rurality indices germane to their country.
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spelling pubmed-20806352007-11-17 Measuring participant rurality in Web-based interventions Danaher, Brian G Hart, L Gary McKay, H Garth Severson, Herbert H BMC Public Health Research Article BACKGROUND: Web-based health behavior change programs can reach large groups of disparate participants and thus they provide promise of becoming important public health tools. Data on participant rurality can complement other demographic measures to deepen our understanding of the success of these programs. Specifically, analysis of participant rurality can inform recruitment and social marketing efforts, and facilitate the targeting and tailoring of program content. Rurality analysis can also help evaluate the effectiveness of interventions across population groupings. METHODS: We describe how the RUCAs (Rural-Urban Commuting Area Codes) methodology can be used to examine results from two Randomized Controlled Trials of Web-based tobacco cessation programs: the ChewFree.com project for smokeless tobacco cessation and the Smokers' Health Improvement Program (SHIP) project for smoking cessation. RESULTS: Using RUCAs methodology helped to highlight the extent to which both Web-based interventions reached a substantial percentage of rural participants. The ChewFree program was found to have more rural participation which is consistent with the greater prevalence of smokeless tobacco use in rural settings as well as ChewFree's multifaceted recruitment program that specifically targeted rural settings. CONCLUSION: Researchers of Web-based health behavior change programs targeted to the US should routinely include RUCAs as a part of analyzing participant demographics. Researchers in other countries should examine rurality indices germane to their country. BioMed Central 2007-08-31 /pmc/articles/PMC2080635/ /pubmed/17764564 http://dx.doi.org/10.1186/1471-2458-7-228 Text en Copyright © 2007 Danaher et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Danaher, Brian G
Hart, L Gary
McKay, H Garth
Severson, Herbert H
Measuring participant rurality in Web-based interventions
title Measuring participant rurality in Web-based interventions
title_full Measuring participant rurality in Web-based interventions
title_fullStr Measuring participant rurality in Web-based interventions
title_full_unstemmed Measuring participant rurality in Web-based interventions
title_short Measuring participant rurality in Web-based interventions
title_sort measuring participant rurality in web-based interventions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2080635/
https://www.ncbi.nlm.nih.gov/pubmed/17764564
http://dx.doi.org/10.1186/1471-2458-7-228
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