Increasing Follow-Up Rates Among African American Women With Abnormal Mammography Results

2003 ◽  
Author(s):  
Debra J. Holden
Author(s):  
Shirley Spencer ◽  
Carolyn Rodgers ◽  
Vickii Coffey

African American women are disproportionately impacted by breast cancer and its associated effects. They have the highest breast cancer mortality rate of all racial and ethnic groups in the U.S., yet, many high risk African American women do not follow-up with genetic testing despite, having a shorter survival rate and more likely to develop malignancies or aggressive forms of breast cancer than white women. Purpose: This review explored breast cancer genetic follow up and barriers among African American women and made recommendations for designing tailored high risk breast cancer programs. Method: The Integrative Model of Behavioral Prediction framework provided the framework for the review. PubMed, PSYINFO, CINAHL and Cochrane Collection Plus databases were searched for articles published from 2007 to 2017 that focused on attitude and beliefs that influenced genetic testing follow up among African American women. Three reviewers independently reviewed and appraised articles. The quality of the articles was assessed to determine the evidence level and overall recommendations using the Joanna Bridge Institute grading criteria. Results: Sixteen of the 2275 articles reviewed met the inclusion criteria of which, seven showed statistically significance changes related to family concerns, medical mistrust and cost barriers; decreases in breast cancer worry and perceived risk after genetic counseling; and higher education level and diagnosed early increased genetic testing. Conclusions: This systematic review provides greater understanding of how the social determinants of health influence decisions about genetic testing and treatment to determine why African American women who are at risk for breast cancer, do not progress to genetic testing. It provided recommendations for designing sensitive curriculum content for African American women and providers to increase genetic follow-up and reduce breast cancer disparity. The results of this review could be used to design comprehensive, tailored interventions to address the identified barriers, increase breast cancer awareness and early detection, and help minority women make informed, value decisions about genetic testing and treatment options. Recommendations: Future research is required to examine the role communities, agencies and policy makers play in improving clinical outcomes for minorities.


2020 ◽  
Vol 10 (04) ◽  
pp. e362-e368
Author(s):  
Elizabeth A. Blumenthal ◽  
B. Adam Crosland ◽  
Dana Senderoff ◽  
Kathryn Santurino ◽  
Nisha Garg ◽  
...  

Abstract Objective American College of Obstetricians and Gynecologists (ACOG) recently published the California (CA) cardiovascular disease (CVD) screening algorithm for pregnant and postpartum women. We aim to prospectively determine screen-positive and true-positive rates of CVD among women across two populations. Study Design This is a prospective cohort study of obstetrical patients from April 2018 to July 2019 at academic medical centers in CA and New York (NY). We attempted to screen all patients at least once during their pregnancy care (prenatal or postpartum). Women who screened positive (“Red Flags,” >3–4 moderate risk factors, abnormal physical examination, and persistent symptoms) underwent further testing. The primary outcome was the screen-positive rate. Secondary outcomes included the true-positive rate and the strength of each moderate factor in predicting a positive CVD screen. Results We screened 846 women. The overall screen-positive rate was 8% (5% in CA vs. 19% in NY). The sites differed in ethnicity, that is, African American women (2.7% in CA vs. 35% in NY, p < 0.01) and substance use (2.7 vs. 5.6%, p < 0.04). The true-positive rate was 1.5% at both sites. The percentage of screen-positive patients who did not complete follow-up studies was higher in NY (70%) than in CA (27%). CVD was confirmed in 30% with positive screens with complete follow-up. Combinations of moderate factors were the main driver of screen-positive rates in both populations. Conclusion This is the first data describing the performance of the CVD screening algorithm in a general obstetric population. Factors, such as proportion of African American women affect the likelihood of a positive screen. The screening algorithm highlights patients at higher lifetime risk of CVD and may identify a group that could be targeted for more direct care transitions postpartum. Data may be used to design a larger validation study.


2006 ◽  
Vol 163 (suppl_11) ◽  
pp. S72-S72
Author(s):  
L Rosenberg ◽  
D Boggs ◽  
L.A Wise ◽  
J.R Palmer ◽  
M.H Roltsch ◽  
...  

1998 ◽  
Vol 9 (3) ◽  
pp. 139-145 ◽  
Author(s):  
G M Wingood ◽  
R J Diclemente

The present study examined the correlates of consistent condom use among African-American women and prospectively evaluated the stability of these significant variables to predict consistent condom use at 3-month follow-up. A sample of 128 African-American women, 18-29 years of age completed a baseline interview and 3 months later completed a similar follow-up interview ( n =100). Compared to women who were inconsistent condom users, women who were consistent condom users were more likely to: have high assertive communication skills (OR=13), desire not becoming pregnant (OR=8.6), have high sexual selfcontrol over condom use (OR=7.6), perceive having control over their partners' use of condoms (OR=6.6), be younger (OR=5.8), and report having a partner that was not committed to the relationship (OR=3.3). Prospective analyses identified baseline level of condom use as the best predictor of condom use at 3-month follow-up. Women who were consistent condom users at baseline were 6.3 times as likely to be consistent condom users at 3-month follow-up. In conclusion, HIV prevention programmes for women need to be gender specific and need to be implemented before high-risk behaviours are established and may be more difficult to modify.


Sign in / Sign up

Export Citation Format

Share Document