Measuring participant rurality in Web-based interventions

<p>Abstract</p> <p>Background</p> <p>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 measure...

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Main Authors: McKay H Garth, Hart L Gary, Danaher Brian G, Severson Herbert H
Format: Article
Language:English
Published: BMC 2007-08-01
Series:BMC Public Health
Online Access:http://www.biomedcentral.com/1471-2458/7/228
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author McKay H Garth
Hart L Gary
Danaher Brian G
Severson Herbert H
author_facet McKay H Garth
Hart L Gary
Danaher Brian G
Severson Herbert H
author_sort McKay H Garth
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p>
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spelling doaj.art-0419ba7baf79422a8d71a25896fb709b2022-12-22T01:36:01ZengBMCBMC Public Health1471-24582007-08-017122810.1186/1471-2458-7-228Measuring participant rurality in Web-based interventionsMcKay H GarthHart L GaryDanaher Brian GSeverson Herbert H<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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.</p> <p>Conclusion</p> <p>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.</p>http://www.biomedcentral.com/1471-2458/7/228
spellingShingle McKay H Garth
Hart L Gary
Danaher Brian G
Severson Herbert H
Measuring participant rurality in Web-based interventions
BMC Public Health
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
url http://www.biomedcentral.com/1471-2458/7/228
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