Skip to main content

Main menu

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • Other Publications
    • abfm

User menu

Search

  • Advanced search
American Board of Family Medicine
  • Other Publications
    • abfm
American Board of Family Medicine

American Board of Family Medicine

Advanced Search

  • HOME
  • ARTICLES
    • Current Issue
    • Abstracts In Press
    • Archives
    • Special Issue Archive
    • Subject Collections
  • INFO FOR
    • Authors
    • Reviewers
    • Call For Papers
    • Subscribers
    • Advertisers
  • SUBMIT
    • Manuscript
    • Peer Review
  • ABOUT
    • The JABFM
    • The Editing Fellowship
    • Editorial Board
    • Indexing
    • Editors' Blog
  • CLASSIFIEDS
  • JABFM on Bluesky
  • JABFM On Facebook
  • JABFM On Twitter
  • JABFM On YouTube
Research ArticleOriginal Research

Factors Influencing Patient Confidence in Screening Mammography

Hannah Jarvis, Lanyu Mi, Bhavika Patel, Regino P. Cube, Sandhya Pruthi and Suneela Vegunta
The Journal of the American Board of Family Medicine November 2023, 36 (6) 942-951; DOI: https://doi.org/10.3122/jabfm.2023.230055R1
Hannah Jarvis
From the Student, Mayo Clinic Alix School of Medicine–Arizona campus, Mayo Clinic College of Medicine and Science, Scottsdale, AZ (HJ); Department of Radiology (BP and RPC), Mayo Clinic, Phoenix, AZ (BP); Breast Diagnostic Clinic (SP) and Mayo Clinic Cancer Center (SP), Mayo Clinic, Rochester, MN (RPC); Division of Clinical Trials and Biostatistics (LM) and Division of Women’s Health Internal Medicine (SV), Mayo Clinic, Scottsdale, AZ (SP); University Hospitals Cleveland Medical Center, Cleveland, OH (LM); Hannah Jarvis, MD, is now with University Hospitals Cleveland Medical Center, Cleveland, OH.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lanyu Mi
From the Student, Mayo Clinic Alix School of Medicine–Arizona campus, Mayo Clinic College of Medicine and Science, Scottsdale, AZ (HJ); Department of Radiology (BP and RPC), Mayo Clinic, Phoenix, AZ (BP); Breast Diagnostic Clinic (SP) and Mayo Clinic Cancer Center (SP), Mayo Clinic, Rochester, MN (RPC); Division of Clinical Trials and Biostatistics (LM) and Division of Women’s Health Internal Medicine (SV), Mayo Clinic, Scottsdale, AZ (SP); University Hospitals Cleveland Medical Center, Cleveland, OH (LM); Hannah Jarvis, MD, is now with University Hospitals Cleveland Medical Center, Cleveland, OH.
MS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bhavika Patel
From the Student, Mayo Clinic Alix School of Medicine–Arizona campus, Mayo Clinic College of Medicine and Science, Scottsdale, AZ (HJ); Department of Radiology (BP and RPC), Mayo Clinic, Phoenix, AZ (BP); Breast Diagnostic Clinic (SP) and Mayo Clinic Cancer Center (SP), Mayo Clinic, Rochester, MN (RPC); Division of Clinical Trials and Biostatistics (LM) and Division of Women’s Health Internal Medicine (SV), Mayo Clinic, Scottsdale, AZ (SP); University Hospitals Cleveland Medical Center, Cleveland, OH (LM); Hannah Jarvis, MD, is now with University Hospitals Cleveland Medical Center, Cleveland, OH.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Regino P. Cube
From the Student, Mayo Clinic Alix School of Medicine–Arizona campus, Mayo Clinic College of Medicine and Science, Scottsdale, AZ (HJ); Department of Radiology (BP and RPC), Mayo Clinic, Phoenix, AZ (BP); Breast Diagnostic Clinic (SP) and Mayo Clinic Cancer Center (SP), Mayo Clinic, Rochester, MN (RPC); Division of Clinical Trials and Biostatistics (LM) and Division of Women’s Health Internal Medicine (SV), Mayo Clinic, Scottsdale, AZ (SP); University Hospitals Cleveland Medical Center, Cleveland, OH (LM); Hannah Jarvis, MD, is now with University Hospitals Cleveland Medical Center, Cleveland, OH.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sandhya Pruthi
From the Student, Mayo Clinic Alix School of Medicine–Arizona campus, Mayo Clinic College of Medicine and Science, Scottsdale, AZ (HJ); Department of Radiology (BP and RPC), Mayo Clinic, Phoenix, AZ (BP); Breast Diagnostic Clinic (SP) and Mayo Clinic Cancer Center (SP), Mayo Clinic, Rochester, MN (RPC); Division of Clinical Trials and Biostatistics (LM) and Division of Women’s Health Internal Medicine (SV), Mayo Clinic, Scottsdale, AZ (SP); University Hospitals Cleveland Medical Center, Cleveland, OH (LM); Hannah Jarvis, MD, is now with University Hospitals Cleveland Medical Center, Cleveland, OH.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Suneela Vegunta
From the Student, Mayo Clinic Alix School of Medicine–Arizona campus, Mayo Clinic College of Medicine and Science, Scottsdale, AZ (HJ); Department of Radiology (BP and RPC), Mayo Clinic, Phoenix, AZ (BP); Breast Diagnostic Clinic (SP) and Mayo Clinic Cancer Center (SP), Mayo Clinic, Rochester, MN (RPC); Division of Clinical Trials and Biostatistics (LM) and Division of Women’s Health Internal Medicine (SV), Mayo Clinic, Scottsdale, AZ (SP); University Hospitals Cleveland Medical Center, Cleveland, OH (LM); Hannah Jarvis, MD, is now with University Hospitals Cleveland Medical Center, Cleveland, OH.
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • References
  • Info & Metrics
  • PDF
Loading

References

  1. 1.↵
    1. DeSantis CE,
    2. Ma J,
    3. Gaudet MM,
    4. et al
    . Breast cancer statistics, 2019. CA Cancer J Clin 2019;69:438–51.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Joe BN,
    2. Sickles EA
    . The evolution of breast imaging: past to present. Radiology 2014;273:S23–44.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Gotzsche PC,
    2. Olsen O
    . Is screening for breast cancer with mammography justifiable? Lancet 2000;355:129–34.
    OpenUrlCrossRefPubMedWeb of Science
  4. 4.↵
    1. Patel NS,
    2. Lee M,
    3. Marti JL
    . Assessment of screening mammography recommendations by breast cancer centers in the US. JAMA Intern Med 2021;181:717–9.
    OpenUrl
  5. 5.↵
    US Preventive Services Task Force. Breast cancer: screening. Accessed 2023 Feb 7. Available at: https://www.uspreventiveservicestaskforce.org/uspstf/recommendation/breast-cancer-screening.
  6. 6.↵
    1. Bredemeyer M
    . ACS releases guideline on breast cancer screening. Am Fam Physician. 2016;93:711–2.
    OpenUrl
  7. 7.↵
    National Comprehensive Cancer Network. NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines®): breast cancer screening and diagnosis. Accessed Feb 7 2023, Version 1.2022. Available at: https://www.nccn.org/.
  8. 8.↵
    1. Woloshin S,
    2. Schwartz LM,
    3. Byram SJ,
    4. Sox HC,
    5. Fischhoff B,
    6. Welch HG
    . Women's understanding of the mammography screening debate. Arch Intern Med 2000;160:1434–40.
    OpenUrlCrossRefPubMedWeb of Science
  9. 9.↵
    1. Schueler KM,
    2. Chu PW,
    3. Smith-Bindman R
    . Factors associated with mammography utilization: a systematic quantitative review of the literature. J Womens Health (Larchmt) 2008;17:1477–98.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Chamot E,
    2. Perneger TV
    . Misconceptions about efficacy of mammography screening: a public health dilemma. J Epidemiol Community Health 2001;55:799–803.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    1. Kerlikowske K,
    2. Hubbard RA,
    3. Miglioretti DL
    , Breast Cancer Surveillance Consortiumet al. Comparative effectiveness of digital versus film-screen mammography in community practice in the United States: a cohort study. Ann Intern Med 2011;155:493–502.
    OpenUrlCrossRefPubMedWeb of Science
  12. 12.↵
    1. Pisano ED,
    2. Gatsonis C,
    3. Hendrick E
    , Digital Mammographic Imaging Screening Trial (DMIST) Investigators Groupet al. Diagnostic performance of digital versus film mammography for breast-cancer screening. N Engl J Med 2005;353:1773–83.
    OpenUrlCrossRefPubMedWeb of Science
  13. 13.↵
    1. Lehman CD,
    2. Arao RF,
    3. Sprague BL,
    4. et al
    . National performance benchmarks for modern screening digital mammography: update from the Breast Cancer Surveillance Consortium. Radiology 2017;283:49–58.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Freer PE
    . Mammographic breast density: impact on breast cancer risk and implications for screening. Radiographics 2015;35:302–15.
    OpenUrlCrossRefPubMed
  15. 15.↵
    1. Boyd NF,
    2. Guo H,
    3. Martin LJ,
    4. et al
    . Mammographic density and the risk and detection of breast cancer. N Engl J Med 2007;356:227–36.
    OpenUrlCrossRefPubMedWeb of Science
  16. 16.↵
    1. Boyd NF,
    2. Martin LJ,
    3. Yaffe MJ,
    4. Minkin S
    . Mammographic density and breast cancer risk: current understanding and future prospects. Breast Cancer Res 2011;13:223.
    OpenUrlCrossRefPubMedWeb of Science
  17. 17.↵
    1. Carney PA,
    2. Miglioretti DL,
    3. Yankaskas BC,
    4. et al
    . Individual and combined effects of age, breast density, and hormone replacement therapy use on the accuracy of screening mammography. Ann Intern Med. 2003;138:168–75.
    OpenUrlCrossRefPubMedWeb of Science
  18. 18.↵
    1. Duffy S,
    2. Vulkan D,
    3. Cuckle H,
    4. et al
    . Annual mammographic screening to reduce breast cancer mortality in women from age 40 years: long-term follow-up of the UK Age RCT. Health Technol Assess 2020;24:1–24.
    OpenUrlCrossRefPubMed
  19. 19.↵
    1. Tosteson ANA,
    2. Schifferdecker KE,
    3. Smith RE,
    4. et al
    . Women's breast cancer screening confidence by screening modality and breast density: a Breast Cancer Surveillance Consortium Survey Study. J Womens Health (Larchmt) 2022;31:1547–56.
    OpenUrl
  20. 20.↵
    1. Horsley RK,
    2. Kling JM,
    3. Vegunta S,
    4. Lorans R,
    5. Temkit H,
    6. Patel BK
    . Baseline mammography: what is it and why is it important? a cross-sectional survey of women undergoing screening mammography. J Am Coll Radiol 2019;16:164–9.
    OpenUrl
  21. 21.↵
    1. Harris PA,
    2. Taylor R,
    3. Minor BL
    , REDCap Consortiumet al. The REDCap consortium: building an international community of software platform partners. J Biomed Inform 2019;95:103208.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Harris PA,
    2. Taylor R,
    3. Thielke R,
    4. Payne J,
    5. Gonzalez N,
    6. Conde JG
    . Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009;42:377–81. Apr.
    OpenUrlCrossRefPubMedWeb of Science
  23. 23.↵
    1. Damiani G,
    2. Basso D,
    3. Acampora A,
    4. et al
    . The impact of level of education on adherence to breast and cervical cancer screening: evidence from a systematic review and meta-analysis. Prev Med 2015;81:281–9.
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Duport N,
    2. Ancelle-Park R
    . Do socio-demographic factors influence mammography use of French women? Analysis of a French cross-sectional survey. Eur J Cancer Prev 2006;15:219–24.
    OpenUrlCrossRefPubMedWeb of Science
  25. 25.↵
    1. Lee JR,
    2. Vogel VG
    . Who uses screening mammography regularly? Cancer Epidemiol Biomarkers Prev 1995;4:901–6.
    OpenUrlAbstract
  26. 26.↵
    1. Dobias KS,
    2. Moyer CA,
    3. McAchran SE,
    4. Katz SJ,
    5. Sonnad SS
    . Mammography messages in popular media: implications for patient expectations and shared clinical decision-making. Health Expect 2001;4:127–35.
    OpenUrlPubMed
  27. 27.↵
    1. Rhodes DJ,
    2. Jenkins SM,
    3. Hruska CB,
    4. Vachon CM,
    5. Breitkopf CR
    . Breast density awareness, knowledge, and attitudes among US women: national survey results across 5 years. J Am Coll Radiol 2020;17:391–404.
    OpenUrl
  28. 28.↵
    1. Santiago-Rivas M,
    2. Benjamin S,
    3. Andrews JZ,
    4. Jandorf L
    . Breast density awareness and knowledge, and intentions for breast cancer screening in a diverse sample of women age eligible for mammography. J Cancer Educ 2019;34:90–7.
    OpenUrlPubMed
  29. 29.↵
    1. Kerlikowske K,
    2. Zhu W,
    3. Hubbard RA
    , Breast Cancer Surveillance Consortiumet al. Outcomes of screening mammography by frequency, breast density, and postmenopausal hormone therapy. JAMA Intern Med 2013;173:807–16.
    OpenUrl
  30. 30.↵
    1. Schifferdecker KE,
    2. Tosteson ANA,
    3. Kaplan C,
    4. et al
    . Knowledge and perception of breast density, screening mammography, and supplemental screening: in search of “informed”. J Gen Intern Med 2020;35:1654–60.
    OpenUrlCrossRefPubMed
  31. 31.↵
    1. de Lange SV,
    2. Bakker MF,
    3. Monninkhof EM,
    4. et al
    . Reasons for (non)participation in supplemental population-based MRI breast screening for women with extremely dense breasts. Clin Radiol 2018;73:759 e1-759–e9.
    OpenUrl
  32. 32.↵
    1. Costanza ME,
    2. Stoddard A,
    3. Gaw VP,
    4. Zapka JG
    . The risk factors of age and family history and their relationship to screening mammography utilization. J Am Geriatr Soc 1992;40:774–8.
    OpenUrlPubMedWeb of Science
  33. 33.↵
    1. Chagpar AB,
    2. Polk HC Jr.,
    3. McMasters KM
    . Racial trends in mammography rates: a population-based study. Surgery 2008;144:467–72.
    OpenUrlCrossRefPubMedWeb of Science
PreviousNext
Back to top

In this issue

The Journal of the American Board of Family     Medicine: 36 (6)
The Journal of the American Board of Family Medicine
Vol. 36, Issue 6
November-December 2023
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author
  • Back Matter (PDF)
  • Front Matter (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Board of Family Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Factors Influencing Patient Confidence in Screening Mammography
(Your Name) has sent you a message from American Board of Family Medicine
(Your Name) thought you would like to see the American Board of Family Medicine web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
2 + 8 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.
Citation Tools
Factors Influencing Patient Confidence in Screening Mammography
Hannah Jarvis, Lanyu Mi, Bhavika Patel, Regino P. Cube, Sandhya Pruthi, Suneela Vegunta
The Journal of the American Board of Family Medicine Nov 2023, 36 (6) 942-951; DOI: 10.3122/jabfm.2023.230055R1

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Factors Influencing Patient Confidence in Screening Mammography
Hannah Jarvis, Lanyu Mi, Bhavika Patel, Regino P. Cube, Sandhya Pruthi, Suneela Vegunta
The Journal of the American Board of Family Medicine Nov 2023, 36 (6) 942-951; DOI: 10.3122/jabfm.2023.230055R1
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Conclusions
    • Acknowledgments
    • Appendix.
    • Notes
    • References
  • Figures & Data
  • References
  • Info & Metrics
  • PDF

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • Identifying and Addressing Social Determinants of Health with an Electronic Health Record
  • Integrating Adverse Childhood Experiences and Social Risks Screening in Adult Primary Care
  • A Pilot Comparison of Clinical Data Collection Methods Using Paper, Electronic Health Record Prompt, and a Smartphone Application
Show more Original Research

Similar Articles

Keywords

  • Breast Cancer
  • Breast Density
  • Cancer Screening
  • Cross-Sectional Studies
  • Mammography
  • Patient Confidence
  • Prospective Studies
  • Surveys and Questionnaires

Navigate

  • Home
  • Current Issue
  • Past Issues

Authors & Reviewers

  • Info For Authors
  • Info For Reviewers
  • Submit A Manuscript/Review

Other Services

  • Get Email Alerts
  • Classifieds
  • Reprints and Permissions

Other Resources

  • Forms
  • Contact Us
  • ABFM News

© 2025 American Board of Family Medicine

Powered by HighWire