Identifying key variables in African American adherence to colorectal cancer screening: the application of data mining
Identifieur interne : 002A08 ( Main/Exploration ); précédent : 002A07; suivant : 002A09Identifying key variables in African American adherence to colorectal cancer screening: the application of data mining
Auteurs : Vetta L Sanders Thompson [États-Unis] ; Sean Lander [États-Unis] ; Shuyu Xu [États-Unis] ; Chi-Ren Shyu [États-Unis]Source :
- BMC Public Health [ 1471-2458 ] ; 2014.
Abstract
This paper reports on an effort to identify a streamlined set of issues important for colorectal cancer communication and interventions with older African Americans.
African American (N = 1,021), 683 women and 338 men, 50 to 75 years completed a telephone survey addressing demographics, colorectal cancer screening, cancer attitudes, and cancer related cultural attitudes. Several data analytics methods were applied and evaluated. Among them, results from associative data mining identified key variables and logistic regression was used to confirm associations to screening adherence.
Sets of co-occurring variables identified by associative data mining methods are extracted to further study differences between adherent and non-adherent groups. Logistic regressions suggested four variables were significantly associated with adherence: healthcare provider colonoscopy recommendation, prevention services at the place health care is usually sought, a history of colitis, and a history of polyps.
The findings suggest a streamlined set of issues and concerns that may be used by providers advising patients or developing colorectal cancer intervention strategies for older African Americans. The data suggest the continued importance of healthcare provider recommendation to screen. It is important that providers give a clear recommendation to screen regardless of the test ultimately selected and should advise all patients that family history and the absence of symptoms or colitis do not eliminate the value of screening.
The online version of this article (doi:10.1186/1471-2458-14-1173) contains supplementary material, which is available to authorized users.
Url:
DOI: 10.1186/1471-2458-14-1173
PubMed: 25404373
PubMed Central: 4256804
Affiliations:
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Identifying key variables in African American adherence to colorectal cancer screening: the application of data mining</title><author><name sortKey="Thompson, Vetta L Sanders" sort="Thompson, Vetta L Sanders" uniqKey="Thompson V" first="Vetta L Sanders" last="Thompson">Vetta L Sanders Thompson</name><affiliation wicri:level="2"><nlm:aff id="Aff1">Brown School, Washington University in St. Louis, St. Louis, MO USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Missouri (État)</region></placeName><wicri:cityArea>Brown School, Washington University in St. Louis, St. Louis</wicri:cityArea></affiliation></author><author><name sortKey="Lander, Sean" sort="Lander, Sean" uniqKey="Lander S" first="Sean" last="Lander">Sean Lander</name><affiliation wicri:level="2"><nlm:aff id="Aff2">Informatics Institute, University of Missouri, Columbia, MO USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Missouri (État)</region></placeName><wicri:cityArea>Informatics Institute, University of Missouri, Columbia</wicri:cityArea></affiliation></author><author><name sortKey="Xu, Shuyu" sort="Xu, Shuyu" uniqKey="Xu S" first="Shuyu" last="Xu">Shuyu Xu</name><affiliation wicri:level="2"><nlm:aff id="Aff2">Informatics Institute, University of Missouri, Columbia, MO USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Missouri (État)</region></placeName><wicri:cityArea>Informatics Institute, University of Missouri, Columbia</wicri:cityArea></affiliation></author><author><name sortKey="Shyu, Chi Ren" sort="Shyu, Chi Ren" uniqKey="Shyu C" first="Chi-Ren" last="Shyu">Chi-Ren Shyu</name><affiliation wicri:level="2"><nlm:aff id="Aff2">Informatics Institute, University of Missouri, Columbia, MO USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Missouri (État)</region></placeName><wicri:cityArea>Informatics Institute, University of Missouri, 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type="wicri:Area/Main/Curation">002A08</idno><idno type="wicri:Area/Main/Exploration">002A08</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Identifying key variables in African American adherence to colorectal cancer screening: the application of data mining</title><author><name sortKey="Thompson, Vetta L Sanders" sort="Thompson, Vetta L Sanders" uniqKey="Thompson V" first="Vetta L Sanders" last="Thompson">Vetta L Sanders Thompson</name><affiliation wicri:level="2"><nlm:aff id="Aff1">Brown School, Washington University in St. Louis, St. Louis, MO USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Missouri (État)</region></placeName><wicri:cityArea>Brown School, Washington University in St. Louis, St. Louis</wicri:cityArea></affiliation></author><author><name sortKey="Lander, Sean" sort="Lander, Sean" uniqKey="Lander S" first="Sean" last="Lander">Sean Lander</name><affiliation wicri:level="2"><nlm:aff id="Aff2">Informatics Institute, University of Missouri, Columbia, MO USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Missouri (État)</region></placeName><wicri:cityArea>Informatics Institute, University of Missouri, Columbia</wicri:cityArea></affiliation></author><author><name sortKey="Xu, Shuyu" sort="Xu, Shuyu" uniqKey="Xu S" first="Shuyu" last="Xu">Shuyu Xu</name><affiliation wicri:level="2"><nlm:aff id="Aff2">Informatics Institute, University of Missouri, Columbia, MO USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Missouri (État)</region></placeName><wicri:cityArea>Informatics Institute, University of Missouri, Columbia</wicri:cityArea></affiliation></author><author><name sortKey="Shyu, Chi Ren" sort="Shyu, Chi Ren" uniqKey="Shyu C" first="Chi-Ren" last="Shyu">Chi-Ren Shyu</name><affiliation wicri:level="2"><nlm:aff id="Aff2">Informatics Institute, University of Missouri, Columbia, MO USA</nlm:aff><country>États-Unis</country><placeName><region type="state">Missouri (État)</region></placeName><wicri:cityArea>Informatics Institute, University of Missouri, Columbia</wicri:cityArea></affiliation></author></analytic><series><title level="j">BMC Public Health</title><idno type="eISSN">1471-2458</idno><imprint><date when="2014">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>This paper reports on an effort to identify a streamlined set of issues important for colorectal cancer communication and interventions with older African Americans.</p></sec><sec><title>Methods</title><p>African American (N = 1,021), 683 women and 338 men, 50 to 75 years completed a telephone survey addressing demographics, colorectal cancer screening, cancer attitudes, and cancer related cultural attitudes. Several data analytics methods were applied and evaluated. Among them, results from associative data mining identified key variables and logistic regression was used to confirm associations to screening adherence.</p></sec><sec><title>Results</title><p>Sets of co-occurring variables identified by associative data mining methods are extracted to further study differences between adherent and non-adherent groups. Logistic regressions suggested four variables were significantly associated with adherence: healthcare provider colonoscopy recommendation, prevention services at the place health care is usually sought, a history of colitis, and a history of polyps.</p></sec><sec><title>Conclusions</title><p>The findings suggest a streamlined set of issues and concerns that may be used by providers advising patients or developing colorectal cancer intervention strategies for older African Americans. The data suggest the continued importance of healthcare provider recommendation to screen. It is important that providers give a clear recommendation to screen regardless of the test ultimately selected and should advise all patients that family history and the absence of symptoms or colitis do not eliminate the value of screening.</p></sec><sec><title>Electronic supplementary material</title><p>The online version of this article (doi:10.1186/1471-2458-14-1173) contains supplementary material, which is available to authorized users.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Horner, Mj" uniqKey="Horner M">MJ Horner</name></author><author><name sortKey="Ries, Lag" uniqKey="Ries L">LAG Ries</name></author><author><name sortKey="Krapcho, M" uniqKey="Krapcho M">M Krapcho</name></author><author><name sortKey="Neyman, N" uniqKey="Neyman N">N Neyman</name></author><author><name sortKey="Aminou, R" uniqKey="Aminou R">R Aminou</name></author><author><name 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uniqKey="Chowdhury M">M Chowdhury</name></author><author><name sortKey="Franklin, Mj" uniqKey="Franklin M">MJ Franklin</name></author><author><name sortKey="Shenker, S" uniqKey="Shenker S">S Shenker</name></author><author><name sortKey="Stoica, I" uniqKey="Stoica I">I Stoica</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bay, Sd" uniqKey="Bay S">SD Bay</name></author><author><name sortKey="Pazzani, Mj" uniqKey="Pazzani M">MJ Pazzani</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Thompson Sanders, V" uniqKey="Thompson Sanders V">V Thompson Sanders</name></author><author><name sortKey="Cavazos Rehg, P" uniqKey="Cavazos Rehg P">P Cavazos-Rehg</name></author><author><name sortKey="Rutten, Lf" uniqKey="Rutten L">LF Rutten</name></author><author><name sortKey="Hesse, Bw" uniqKey="Hesse B">BW Hesse</name></author><author><name sortKey="Moser, Rp" uniqKey="Moser R">RP Moser</name></author><author><name sortKey="Kreps, Gl" uniqKey="Kreps G">GL Kreps</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Dreier, M" uniqKey="Dreier M">M Dreier</name></author><author><name sortKey="Borutta, B" uniqKey="Borutta B">B Borutta</name></author><author><name sortKey="Seidel, G" uniqKey="Seidel G">G Seidel</name></author><author><name sortKey="Kreusel, I" uniqKey="Kreusel I">I Kreusel</name></author><author><name sortKey="Toppich, J" uniqKey="Toppich J">J Töppich</name></author><author><name sortKey="Bitzer, Em" uniqKey="Bitzer E">EM Bitzer</name></author><author><name sortKey="Dierks, Ml" uniqKey="Dierks M">ML Dierks</name></author><author><name sortKey="Walter, U" uniqKey="Walter U">U Walter</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Missouri (État)</li></region></list><tree><country name="États-Unis"><region name="Missouri (État)"><name sortKey="Thompson, Vetta L Sanders" sort="Thompson, Vetta L Sanders" uniqKey="Thompson V" first="Vetta L Sanders" last="Thompson">Vetta L Sanders Thompson</name></region><name sortKey="Lander, Sean" sort="Lander, Sean" uniqKey="Lander S" first="Sean" last="Lander">Sean Lander</name><name sortKey="Shyu, Chi Ren" sort="Shyu, Chi Ren" uniqKey="Shyu C" first="Chi-Ren" last="Shyu">Chi-Ren Shyu</name><name sortKey="Xu, Shuyu" sort="Xu, Shuyu" uniqKey="Xu S" first="Shuyu" last="Xu">Shuyu Xu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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