Skip to main content
Journal cover image

Improving State-Mandated Breast Density Notifications.

Publication ,  Journal Article
Nguyen, DL; Ambinder, EB; Jones, MK; Mullen, LA; Harvey, SC
Published in: J Am Coll Radiol
March 2020

PURPOSE: Effective written communication directly affects health care outcomes. Since 2016, the complex language of state-mandated breast density notifications (BDNs) has been challenged, because it is perceived to be beyond the comprehension of most patients. The aim of this study was to assess whether a revised BDN written at a lower reading grade level improves understanding compared with the current state-mandated BDN. METHODS: A revised notification with similar content to the current state-mandated BDN was developed. Both notifications were presented to patients for direct comparison, using a paper survey asking questions that evaluated patients' perceptions and convictions associated with breast density. Surveys were distributed at four outpatient imaging centers to screening mammography patients. RESULTS: The current BDN's mean readability metric was 13.4, and that of the revised BDN was 6.6. Five hundred surveys were analyzed. Survey data demonstrated that 56.6% of all women perceived that dense breast tissue results indicated a "high" associated lifetime breast cancer risk from the current state-mandated BDN compared with only 2.2% with the revised notification (P < .001). Nearly all women were more likely to initiate discussions with their providers regarding their breast tissue density after reading the revised notification (96.0%) as opposed to the current state-mandated BDN (32.8%; P < .001). CONCLUSIONS: A significant portion of women misinterpret the intended messages of the current state-mandated BDN. Thus, a revised notification at a lower reading grade level may improve understanding of breast density, leading to improved individualized breast cancer screening for women with dense breasts.

Duke Scholars

Published In

J Am Coll Radiol

DOI

EISSN

1558-349X

Publication Date

March 2020

Volume

17

Issue

3

Start / End Page

384 / 390

Location

United States

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • Mammography
  • Humans
  • Female
  • Early Detection of Cancer
  • Comprehension
  • Breast Neoplasms
  • Breast Density
  • 3202 Clinical sciences
  • 1117 Public Health and Health Services
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Nguyen, D. L., Ambinder, E. B., Jones, M. K., Mullen, L. A., & Harvey, S. C. (2020). Improving State-Mandated Breast Density Notifications. J Am Coll Radiol, 17(3), 384–390. https://doi.org/10.1016/j.jacr.2019.08.023
Nguyen, Derek L., Emily B. Ambinder, Mary Kate Jones, Lisa A. Mullen, and Susan C. Harvey. “Improving State-Mandated Breast Density Notifications.J Am Coll Radiol 17, no. 3 (March 2020): 384–90. https://doi.org/10.1016/j.jacr.2019.08.023.
Nguyen DL, Ambinder EB, Jones MK, Mullen LA, Harvey SC. Improving State-Mandated Breast Density Notifications. J Am Coll Radiol. 2020 Mar;17(3):384–90.
Nguyen, Derek L., et al. “Improving State-Mandated Breast Density Notifications.J Am Coll Radiol, vol. 17, no. 3, Mar. 2020, pp. 384–90. Pubmed, doi:10.1016/j.jacr.2019.08.023.
Nguyen DL, Ambinder EB, Jones MK, Mullen LA, Harvey SC. Improving State-Mandated Breast Density Notifications. J Am Coll Radiol. 2020 Mar;17(3):384–390.
Journal cover image

Published In

J Am Coll Radiol

DOI

EISSN

1558-349X

Publication Date

March 2020

Volume

17

Issue

3

Start / End Page

384 / 390

Location

United States

Related Subject Headings

  • Nuclear Medicine & Medical Imaging
  • Mammography
  • Humans
  • Female
  • Early Detection of Cancer
  • Comprehension
  • Breast Neoplasms
  • Breast Density
  • 3202 Clinical sciences
  • 1117 Public Health and Health Services