Combining community-engaged research with group model building to address racial disparities in breast cancer mortality and treatment

Although patterns of African American and white women breast cancer incidence and mortality in St. Louis, Missouri is consistent with those seen elsewhere in the United States, rates vary greatly across zip codes within the city of St. Louis. North St. Louis, whose neighborhoods are primarily Africa...

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Main Authors: Williams, Faustine, Colditz, Graham, Hovamd, Peter, Gehlert, Sarah
Format: Others
Published: Digital Scholarship@UNLV 2018
Subjects:
Online Access:https://digitalscholarship.unlv.edu/jhdrp/vol11/iss1/11
https://digitalscholarship.unlv.edu/cgi/viewcontent.cgi?article=1700&context=jhdrp
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spelling ndltd-ETSU-oai-digitalscholarship.unlv.edu-jhdrp-17002019-05-16T05:04:41Z Combining community-engaged research with group model building to address racial disparities in breast cancer mortality and treatment Williams, Faustine Colditz, Graham Hovamd, Peter Gehlert, Sarah Although patterns of African American and white women breast cancer incidence and mortality in St. Louis, Missouri is consistent with those seen elsewhere in the United States, rates vary greatly across zip codes within the city of St. Louis. North St. Louis, whose neighborhoods are primarily African American, exhibits rates of breast cancer mortality that are among the highest in the city and higher than the state as a whole. Based on information that up to 50% of women in North St. Louis with a suspicious diagnosis of breast cancer never enter treatment, we conducted three 2-hour group model building sessions with 34 community stakeholders (e.g., breast cancer survivors or family members or caregivers and community support members such as navigators) to identify the reasons why African American women do not begin or delay breast cancer treatment. Participant sessions produced a very rich and dynamic causal loop diagram of the system producing disparities in breast cancer mortality in St. Louis. The diagram includes 8 major subsystems, causal links between system factors, and feedback loops, all of which shed light on treatment delays/initiation. Our work suggests that numerous intersecting factors contribute to not seeking treatment, which in turn may contribute to African American and white disparities in mortality. 2018-05-15T03:15:02Z text application/pdf https://digitalscholarship.unlv.edu/jhdrp/vol11/iss1/11 https://digitalscholarship.unlv.edu/cgi/viewcontent.cgi?article=1700&context=jhdrp Journal of Health Disparities Research and Practice Digital Scholarship@UNLV Breast Cancer Disparities Treatment Initiation/Delay Community-Based System Dynamics Group Model Building Community-Engaged Research African American Women
collection NDLTD
format Others
sources NDLTD
topic Breast Cancer Disparities
Treatment Initiation/Delay
Community-Based System Dynamics
Group Model Building
Community-Engaged Research
African American Women
spellingShingle Breast Cancer Disparities
Treatment Initiation/Delay
Community-Based System Dynamics
Group Model Building
Community-Engaged Research
African American Women
Williams, Faustine
Colditz, Graham
Hovamd, Peter
Gehlert, Sarah
Combining community-engaged research with group model building to address racial disparities in breast cancer mortality and treatment
description Although patterns of African American and white women breast cancer incidence and mortality in St. Louis, Missouri is consistent with those seen elsewhere in the United States, rates vary greatly across zip codes within the city of St. Louis. North St. Louis, whose neighborhoods are primarily African American, exhibits rates of breast cancer mortality that are among the highest in the city and higher than the state as a whole. Based on information that up to 50% of women in North St. Louis with a suspicious diagnosis of breast cancer never enter treatment, we conducted three 2-hour group model building sessions with 34 community stakeholders (e.g., breast cancer survivors or family members or caregivers and community support members such as navigators) to identify the reasons why African American women do not begin or delay breast cancer treatment. Participant sessions produced a very rich and dynamic causal loop diagram of the system producing disparities in breast cancer mortality in St. Louis. The diagram includes 8 major subsystems, causal links between system factors, and feedback loops, all of which shed light on treatment delays/initiation. Our work suggests that numerous intersecting factors contribute to not seeking treatment, which in turn may contribute to African American and white disparities in mortality.
author Williams, Faustine
Colditz, Graham
Hovamd, Peter
Gehlert, Sarah
author_facet Williams, Faustine
Colditz, Graham
Hovamd, Peter
Gehlert, Sarah
author_sort Williams, Faustine
title Combining community-engaged research with group model building to address racial disparities in breast cancer mortality and treatment
title_short Combining community-engaged research with group model building to address racial disparities in breast cancer mortality and treatment
title_full Combining community-engaged research with group model building to address racial disparities in breast cancer mortality and treatment
title_fullStr Combining community-engaged research with group model building to address racial disparities in breast cancer mortality and treatment
title_full_unstemmed Combining community-engaged research with group model building to address racial disparities in breast cancer mortality and treatment
title_sort combining community-engaged research with group model building to address racial disparities in breast cancer mortality and treatment
publisher Digital Scholarship@UNLV
publishDate 2018
url https://digitalscholarship.unlv.edu/jhdrp/vol11/iss1/11
https://digitalscholarship.unlv.edu/cgi/viewcontent.cgi?article=1700&context=jhdrp
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AT hovamdpeter combiningcommunityengagedresearchwithgroupmodelbuildingtoaddressracialdisparitiesinbreastcancermortalityandtreatment
AT gehlertsarah combiningcommunityengagedresearchwithgroupmodelbuildingtoaddressracialdisparitiesinbreastcancermortalityandtreatment
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