848 Use of health action process approach & propensity score to evaluate a social marketing campaign

BackgroundBicycle injuries represent an important proportion of injuries among Canadian children. Since helmet use was mandated in 1996 in BC, Canada, use has increased and head injuries have decreased. Despite the law, many child cyclists don’t wear a helmet. This study determines additional factor...

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Veröffentlicht in:Injury prevention 2016-09, Vol.22 (Suppl 2), p.A302
Hauptverfasser: Karl, Florian, Newhouse, Emily, Pike, Ian
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creator Karl, Florian
Newhouse, Emily
Pike, Ian
description BackgroundBicycle injuries represent an important proportion of injuries among Canadian children. Since helmet use was mandated in 1996 in BC, Canada, use has increased and head injuries have decreased. Despite the law, many child cyclists don’t wear a helmet. This study determines additional factors that may influence child helmet use by studying caregiver attitudes and behaviours. We study whether intention to wear a bicycle helmet is moderated by planning skills of the individual, and whether individuals exposed to a social marketing campaign have higher scores in risk awareness, intention and behaviour as compared to propensity score (PS) matches without exposure to the campaign.MethodsWe use the Health Action Process Approach to identify single traits that lead to helmet use. PS is applied to address the lack of a control group: the social marketing campaign is a population-wide campaign. PS allows a matched group to be drawn, enabling comparative analysis of the impact of the social marketing campaign on bicycle helmet use. A survey collects detailed bicycle helmet use information from 25–55 yr olds (n = 300) in BC, as part of the continual monitoring and evaluation of a social marketing campaign. Data is examined using multiple regression to identify factors and moderating effects that influence bicycle helmet use. PS is calculated using socio-economic data and injury history over the past 12-months. PS is used to match pairs of individuals with equal PS but different levels of campaign exposure: exposed vs. not exposed. The matched groups are analysed using tests for independent groups.ResultsData will be collected by Dec 2015. Data cleaning and analysis will be completed by Mar 2016, and final results will be presented at Safety 2016.ConclusionsAn important step to increasing bicycle helmet use is to determine additional factors, beyond laws, that may influence helmet use, such that social marketing campaigns can deliver targeted messages.
doi_str_mv 10.1136/injuryprev-2016-042156.848
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Since helmet use was mandated in 1996 in BC, Canada, use has increased and head injuries have decreased. Despite the law, many child cyclists don’t wear a helmet. This study determines additional factors that may influence child helmet use by studying caregiver attitudes and behaviours. We study whether intention to wear a bicycle helmet is moderated by planning skills of the individual, and whether individuals exposed to a social marketing campaign have higher scores in risk awareness, intention and behaviour as compared to propensity score (PS) matches without exposure to the campaign.MethodsWe use the Health Action Process Approach to identify single traits that lead to helmet use. PS is applied to address the lack of a control group: the social marketing campaign is a population-wide campaign. PS allows a matched group to be drawn, enabling comparative analysis of the impact of the social marketing campaign on bicycle helmet use. A survey collects detailed bicycle helmet use information from 25–55 yr olds (n = 300) in BC, as part of the continual monitoring and evaluation of a social marketing campaign. Data is examined using multiple regression to identify factors and moderating effects that influence bicycle helmet use. PS is calculated using socio-economic data and injury history over the past 12-months. PS is used to match pairs of individuals with equal PS but different levels of campaign exposure: exposed vs. not exposed. The matched groups are analysed using tests for independent groups.ResultsData will be collected by Dec 2015. Data cleaning and analysis will be completed by Mar 2016, and final results will be presented at Safety 2016.ConclusionsAn important step to increasing bicycle helmet use is to determine additional factors, beyond laws, that may influence helmet use, such that social marketing campaigns can deliver targeted messages.</description><identifier>ISSN: 1353-8047</identifier><identifier>EISSN: 1475-5785</identifier><identifier>DOI: 10.1136/injuryprev-2016-042156.848</identifier><language>eng</language><publisher>London: BMJ Publishing Group LTD</publisher><subject>Bicycles ; Head injuries ; Helmets ; Injuries ; Protective equipment ; Risk taking ; Scholarships &amp; fellowships ; Social marketing</subject><ispartof>Injury prevention, 2016-09, Vol.22 (Suppl 2), p.A302</ispartof><rights>2016, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</rights><rights>Copyright: 2016 © 2016, Published by the BMJ Publishing Group Limited. 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Since helmet use was mandated in 1996 in BC, Canada, use has increased and head injuries have decreased. Despite the law, many child cyclists don’t wear a helmet. This study determines additional factors that may influence child helmet use by studying caregiver attitudes and behaviours. We study whether intention to wear a bicycle helmet is moderated by planning skills of the individual, and whether individuals exposed to a social marketing campaign have higher scores in risk awareness, intention and behaviour as compared to propensity score (PS) matches without exposure to the campaign.MethodsWe use the Health Action Process Approach to identify single traits that lead to helmet use. PS is applied to address the lack of a control group: the social marketing campaign is a population-wide campaign. PS allows a matched group to be drawn, enabling comparative analysis of the impact of the social marketing campaign on bicycle helmet use. A survey collects detailed bicycle helmet use information from 25–55 yr olds (n = 300) in BC, as part of the continual monitoring and evaluation of a social marketing campaign. Data is examined using multiple regression to identify factors and moderating effects that influence bicycle helmet use. PS is calculated using socio-economic data and injury history over the past 12-months. PS is used to match pairs of individuals with equal PS but different levels of campaign exposure: exposed vs. not exposed. The matched groups are analysed using tests for independent groups.ResultsData will be collected by Dec 2015. Data cleaning and analysis will be completed by Mar 2016, and final results will be presented at Safety 2016.ConclusionsAn important step to increasing bicycle helmet use is to determine additional factors, beyond laws, that may influence helmet use, such that social marketing campaigns can deliver targeted messages.</description><subject>Bicycles</subject><subject>Head injuries</subject><subject>Helmets</subject><subject>Injuries</subject><subject>Protective equipment</subject><subject>Risk taking</subject><subject>Scholarships &amp; fellowships</subject><subject>Social marketing</subject><issn>1353-8047</issn><issn>1475-5785</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNpFkE9Lw0AQxRdRsFa_w6LgLXUnm9lsj1L8B4IXe142m0mbmCYxmxR68-IX9ZO4oYKneQyPmfd-jF2DWABIdVc21dgfup72USxARSKJAdVCJ_qEzSBJMcJU42nQEmWkRZKeswvvKyFApiqesSJYf76-1554W_At2XrYcuuGsm1417eOvOe2C8q6Lb-dVh01vhwO3Lu2Jz60nPa2Hu1A3HLfutLWfGf7DxrKZsOd3XW23DSX7Kywtaervzln68eH99Vz9Pr29LK6f40yiJWOMLcyhgSXuXYIRJlFrTDNVeF0jnnsMCOdSnDgUIc2QihClwkFSZEWOcg5uzneDUE_R_KDqdqxb8JLA0slUCLKyYVHV7arTNeXIe_BgDATUvOP1ExIzRGpCZzkL8r_bo0</recordid><startdate>201609</startdate><enddate>201609</enddate><creator>Karl, Florian</creator><creator>Newhouse, Emily</creator><creator>Pike, Ian</creator><general>BMJ Publishing Group LTD</general><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>201609</creationdate><title>848 Use of health action process approach &amp; propensity score to evaluate a social marketing campaign</title><author>Karl, Florian ; Newhouse, Emily ; Pike, Ian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b1268-5da321459d8c51eeba58657d6fc8d5d2c5be8731c1c58804006e5cb0614f7fd13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Bicycles</topic><topic>Head injuries</topic><topic>Helmets</topic><topic>Injuries</topic><topic>Protective equipment</topic><topic>Risk taking</topic><topic>Scholarships &amp; fellowships</topic><topic>Social marketing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Karl, Florian</creatorcontrib><creatorcontrib>Newhouse, Emily</creatorcontrib><creatorcontrib>Pike, Ian</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>BMJ Journals</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Injury prevention</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karl, Florian</au><au>Newhouse, Emily</au><au>Pike, Ian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>848 Use of health action process approach &amp; propensity score to evaluate a social marketing campaign</atitle><jtitle>Injury prevention</jtitle><date>2016-09</date><risdate>2016</risdate><volume>22</volume><issue>Suppl 2</issue><spage>A302</spage><pages>A302-</pages><issn>1353-8047</issn><eissn>1475-5785</eissn><abstract>BackgroundBicycle injuries represent an important proportion of injuries among Canadian children. Since helmet use was mandated in 1996 in BC, Canada, use has increased and head injuries have decreased. Despite the law, many child cyclists don’t wear a helmet. This study determines additional factors that may influence child helmet use by studying caregiver attitudes and behaviours. We study whether intention to wear a bicycle helmet is moderated by planning skills of the individual, and whether individuals exposed to a social marketing campaign have higher scores in risk awareness, intention and behaviour as compared to propensity score (PS) matches without exposure to the campaign.MethodsWe use the Health Action Process Approach to identify single traits that lead to helmet use. PS is applied to address the lack of a control group: the social marketing campaign is a population-wide campaign. PS allows a matched group to be drawn, enabling comparative analysis of the impact of the social marketing campaign on bicycle helmet use. A survey collects detailed bicycle helmet use information from 25–55 yr olds (n = 300) in BC, as part of the continual monitoring and evaluation of a social marketing campaign. Data is examined using multiple regression to identify factors and moderating effects that influence bicycle helmet use. PS is calculated using socio-economic data and injury history over the past 12-months. PS is used to match pairs of individuals with equal PS but different levels of campaign exposure: exposed vs. not exposed. The matched groups are analysed using tests for independent groups.ResultsData will be collected by Dec 2015. Data cleaning and analysis will be completed by Mar 2016, and final results will be presented at Safety 2016.ConclusionsAn important step to increasing bicycle helmet use is to determine additional factors, beyond laws, that may influence helmet use, such that social marketing campaigns can deliver targeted messages.</abstract><cop>London</cop><pub>BMJ Publishing Group LTD</pub><doi>10.1136/injuryprev-2016-042156.848</doi><oa>free_for_read</oa></addata></record>
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source BMJ Journals - NESLi2
subjects Bicycles
Head injuries
Helmets
Injuries
Protective equipment
Risk taking
Scholarships & fellowships
Social marketing
title 848 Use of health action process approach & propensity score to evaluate a social marketing campaign
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