Predicting the use of individualized risk assessment for breast cancer

被引:5
|
作者
Bartle-Haring, Suzanne [1 ]
Toviessi, Paula [1 ]
Katafiasz, Heather [1 ]
机构
[1] Ohio State Univ, Coll Educ & Human Ecol, Dept Human Dev & Family Sci, Columbus, OH 43210 USA
关键词
D O I
10.1016/j.whi.2008.01.002
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Purpose. The purpose of this study was to investigate the decision to obtain individualized risk assessment (IRA) after a breast cancer education session. Methods. A sample of both African American and Caucasian women was used to determine if there were differences by race/ethnicity in uptake of the assessment and differences in the variables that were most predictive of uptake. The sample included 166 women between the ages of 18 and 80. Sixty-two percent of the sample were African American women. Key Findings. The results suggested that African American women and Caucasian women used different factors and used other factors differently to decide whether or not to obtain an IRA. Conclusions and Implications. These results are discussed within the context of health disparities among ethnic minority and Caucasian women with implications for breast cancer control programs. The results of this study suggest that knowledge alone does not lead to opting for a personalized risk assessment, and that African American and Caucasian women use different pieces of information, or information differently to make decision about getting more personalized information about risk.
引用
收藏
页码:100 / 109
页数:10
相关论文
共 50 条
  • [21] Validation of Risk Assessment Models for Predicting the Incidence of Breast Cancer in Korean Women
    Min, Jun Won
    Chang, Myung-Chul
    Lee, Hae Kyung
    Hur, Min Hee
    Noh, Dong-Young
    Yoon, Jung Han
    Jung, Yongsik
    Yang, Jung-Hyun
    [J]. JOURNAL OF BREAST CANCER, 2014, 17 (03) : 226 - 235
  • [22] Development and Assessment of a Model for Predicting Individualized Outcomes in Patients With Oropharyngeal Cancer
    Beesley, Lauren J.
    Shuman, Andrew G.
    Mierzwa, Michelle L.
    Bellile, Emily L.
    Rosen, Benjamin S.
    Casper, Keith A.
    Ibrahim, Mohannad
    Dermody, Sarah M.
    Wolf, Gregory T.
    Chinn, Steven B.
    Spector, Matthew E.
    de Jong, Robert J. Baatenburg
    Dronkers, Emilie A. C.
    Taylor, Jeremy M. G.
    [J]. JAMA NETWORK OPEN, 2021, 4 (08) : E2120055
  • [23] Internet-based assessment tools for predicting colorectal cancer risk: How do they communicate individualized risk to the young adult?
    Janak, Allison
    Peacock, Oliver
    White, Michael
    Guraieb-Trueba, Montserrat
    Nguyen, Sa Thi
    Alshenaifi, Jumanah
    Kopetz, Scott
    Johnson, Benny
    Smith, Grace L.
    Chang, George J.
    You, Y. Nancy
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2023, 41 : 72 - 72
  • [24] Breast cancer risk elements and nurse practitioners, knowledge, use, and perceived comfort level of breast cancer risk assessment
    Edwards, Quannetta T.
    Maradiegue, Ann
    Seibert, Diane
    Saunders-Goldson, Sherri
    Humphreys, Susanne
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF NURSE PRACTITIONERS, 2009, 21 (05): : 270 - 277
  • [25] Model for Individualized Prediction of Breast Cancer Risk After a Benign Breast Biopsy
    Pankratz, V. Shane
    Degnim, Amy C.
    Frank, Ryan D.
    Frost, Marlene H.
    Visscher, Daniel W.
    Vierkant, Robert A.
    Hieken, Tina J.
    Ghosh, Karthik
    Tarabishy, Yaman
    Vachon, Celine M.
    Radisky, Derek C.
    Hartmann, Lynn C.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2015, 33 (08) : 923 - +
  • [26] Risk assessment for breast cancer
    Pieta, Beata
    Malinger, Adam
    Opala, Tomasz
    [J]. EUROPEAN JOURNAL OF CANCER PREVENTION, 2015, 24 (06) : 543 - 544
  • [27] Breast cancer and risk assessment
    StoppaLyonnet, D
    Blandy, C
    Eisinger, F
    [J]. RECHERCHE, 1997, (294): : 72 - 76
  • [28] Clinicians' use of breast cancer risk assessment tools according to their perceived importance of breast cancer risk factors: an international survey
    Bredart, Anne
    Kop, Jean-Luc
    Antoniou, Antonis C.
    Cunningham, Alex P.
    De Pauw, Antoine
    Tischkowitz, Marc
    Ehrencrona, Hans
    Schmidt, Marjanka K.
    Dolbeault, Sylvie
    Rhiem, Kerstin
    Easton, Douglas F.
    Devilee, Peter
    Stoppa-Lyonnet, Dominique
    Schmutlzer, Rita
    [J]. JOURNAL OF COMMUNITY GENETICS, 2019, 10 (01) : 61 - 71
  • [29] Clinicians’ use of breast cancer risk assessment tools according to their perceived importance of breast cancer risk factors: an international survey
    Anne Brédart
    Jean-Luc Kop
    Antonis C. Antoniou
    Alex P. Cunningham
    Antoine De Pauw
    Marc Tischkowitz
    Hans Ehrencrona
    Marjanka K. Schmidt
    Sylvie Dolbeault
    Kerstin Rhiem
    Douglas F. Easton
    Peter Devilee
    Dominique Stoppa-Lyonnet
    Rita Schmutlzer
    [J]. Journal of Community Genetics, 2019, 10 : 61 - 71
  • [30] AI - model for predicting breast cancer risk
    Graewert, Stephanie
    [J]. ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2024, 196 (01): : 21 - 22