Literature DB >> 17123275

Improving follow-up to abnormal breast cancer screening in an urban population. A patient navigation intervention.

Tracy A Battaglia1, Kathryn Roloff, Michael A Posner, Karen M Freund.   

Abstract

Delays in follow-up after cancer screening contribute to racial/ethnic disparities in cancer outcomes. We evaluated a patient navigator intervention among inner-city women with breast abnormalities. A full-time patient navigator supported patients using the care management model. Female patients 18 years and above, referred to an urban, hospital-based, diagnostic breast health practice from January to June 2000 (preintervention) and November 2001 to February 2003 (intervention), were studied. Timely follow-up was defined as arrival to diagnostic evaluation within 120 days from the date the original appointment was scheduled. Data were collected via computerized registration, medical records, and patient interview. Bivariate and multivariate logistic regression analyses were conducted, comparing preintervention and intervention groups, with propensity score analysis and time trend analysis to address the limitations of the pre-post design. 314 patients were scheduled preintervention; 1018, during the intervention. Overall, mean age was 44 years; 40% black, 36% non-Hispanic white, 14% Hispanic, 4% Asian, 5% other; 15% required an interpreter; 68% had no or only public insurance. Forty-four percent of referrals originated from a community health center, 34% from a hospital-based practice. During the intervention, 78% had timely follow-up versus 64% preintervention (P < .0001). In adjusted analyses, women in the intervention group had 39% greater odds of having timely follow-up (95% CI, 1.01-1.9). Timely follow-up in the adjusted model was associated with older age (P = .0003), having private insurance (P = .006), having an abnormal mammogram (P = .0001), and being referred from a hospital-based practice, as compared to a community health center (P = .003). Our data suggest a benefit of patient navigators in reducing delay in breast cancer care for poor and minority populations. Cancer 2007. (c) 2006 American Cancer Society.

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Year:  2007        PMID: 17123275     DOI: 10.1002/cncr.22354

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  122 in total

1.  Characteristics and predictors of missed opportunities in lung cancer diagnosis: an electronic health record-based study.

Authors:  Hardeep Singh; Kamal Hirani; Himabindu Kadiyala; Olga Rudomiotov; Traber Davis; Myrna M Khan; Terry L Wahls
Journal:  J Clin Oncol       Date:  2010-06-07       Impact factor: 44.544

2.  Urban women's preferences for learning of their mammogram result: a qualitative study.

Authors:  Erin N Marcus; Darlene Drummond; Noella Dietz
Journal:  J Cancer Educ       Date:  2012-03       Impact factor: 2.037

3.  Strategies used and challenges faced by a breast cancer patient navigator in an urban underserved community.

Authors:  Jeanne M Ferrante; Justine Wu; Barbara Dicicco-Bloom
Journal:  J Natl Med Assoc       Date:  2011-08       Impact factor: 1.798

4.  Patient navigation: the promise to reduce health disparities.

Authors:  Karen M Freund
Journal:  J Gen Intern Med       Date:  2011-02       Impact factor: 5.128

5.  The impact of patient navigation on the delivery of diagnostic breast cancer care in the National Patient Navigation Research Program: a prospective meta-analysis.

Authors:  Tracy A Battaglia; Julie S Darnell; Naomi Ko; Fred Snyder; Electra D Paskett; Kristen J Wells; Elizabeth M Whitley; Jennifer J Griggs; Anand Karnad; Heather Young; Victoria Warren-Mears; Melissa A Simon; Elizabeth Calhoun
Journal:  Breast Cancer Res Treat       Date:  2016-07-18       Impact factor: 4.872

6.  How do breast imaging centers communicate results to women with limited English proficiency and other barriers to care?

Authors:  Erin N Marcus; Tulay Koru-Sengul; Feng Miao; Monica Yepes; Lee Sanders
Journal:  J Immigr Minor Health       Date:  2014-06

7.  Barriers reported among patients with breast and cervical abnormalities in the patient navigation research program: impact on timely care.

Authors:  Mira L Katz; Gregory S Young; Paul L Reiter; Tracy A Battaglia; Kristen J Wells; Mechelle Sanders; Melissa Simon; Donald J Dudley; Steven R Patierno; Electra D Paskett
Journal:  Womens Health Issues       Date:  2014 Jan-Feb

8.  Patient navigation to promote smoking cessation among low-income primary care patients: a pilot randomized controlled trial.

Authors:  Karen E Lasser; Karey S Kenst; Lisa M Quintiliani; Renda Soylemez Wiener; Jennifer Murillo; Lori Pbert; Ziming Xuan; Deborah J Bowen
Journal:  J Ethn Subst Abuse       Date:  2013       Impact factor: 1.507

9.  National Cancer Institute Patient Navigation Research Program: methods, protocol, and measures.

Authors:  Karen M Freund; Tracy A Battaglia; Elizabeth Calhoun; Donald J Dudley; Kevin Fiscella; Electra Paskett; Peter C Raich; Richard G Roetzheim
Journal:  Cancer       Date:  2008-12-15       Impact factor: 6.860

10.  White-Black Differences in Cancer Incidence, Stage at Diagnosis, and Survival among Adults Aged 85 Years and Older in the United States.

Authors:  Jessica L Krok-Schoen; James L Fisher; Ryan D Baltic; Electra D Paskett
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-08-15       Impact factor: 4.254

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