Literature DB >> 8860288

Reasons for delay in breast cancer diagnosis.

L S Caplan1, K J Helzlsouer, S Shapiro, M N Wesley, B K Edwards.   

Abstract

BACKGROUND: A study of system delay, the time between the initial medical consultation and the establishment of a diagnosis, in breast cancer patients revealed that almost 40% of women reported delays of at least 4 weeks. The objective of this study was to explore the reasons for these prolonged intervals between initial medical consultation and establishment of a diagnosis.
METHODS: A total of 367 female breast cancer patients from the National Cancer Institute's Black/White Cancer Survival Study were studied. Medical systems involved in the diagnosis and treatment of these women included hospital outpatient and emergency room, private clinic, public clinic, private doctor, and health maintenance organization.
RESULTS: In about 25% of the cases, the delay was attributed by the woman to the patient herself, and the most common reason she gave was that she felt that the problem was not important. In about 45% of the cases, the provider and the health care system were said to be responsible for the delay through difficulties in scheduling or physician inaction, while in another 17% both the patient and the system were responsible.
CONCLUSIONS: This study looked at the issue of how the behaviors of women and their providers contribute to the timing of breast cancer diagnosis. It is one of the only studies to examine the woman's role in delay. It is clear from this study that additional work is needed to look at this question. However, the results of this study suggest that efforts must be made to reduce the time needed to get an appointment with a physician or a diagnostic test, as well as to educate physicians and the women themselves regarding the importance of breast symptoms and the value of prompt evaluation, diagnosis, and treatment.

Entities:  

Mesh:

Year:  1996        PMID: 8860288     DOI: 10.1006/pmed.1996.0049

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  32 in total

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Journal:  J Natl Cancer Inst Monogr       Date:  2010

2.  A matter of race: early-versus late-stage cancer diagnosis.

Authors:  Beth A Virnig; Nancy N Baxter; Elizabeth B Habermann; Roger D Feldman; Cathy J Bradley
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3.  Psychometric evaluation of the patient satisfaction with logistical aspects of navigation (PSN-L) scale using item response theory.

Authors:  Adam C Carle; Pascal Jean-Pierre; Paul Winters; Patricia Valverde; Kristen Wells; Melissa Simon; Peter Raich; Steven Patierno; Mira Katz; Karen M Freund; Donald Dudley; Kevin Fiscella
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4.  Breast cancer racial differences before age 40--implications for screening.

Authors:  Edwin T Johnson
Journal:  J Natl Med Assoc       Date:  2002-03       Impact factor: 1.798

5.  Diagnostic resolution of cancer screening abnormalities at community health centers.

Authors:  Richard G Roetzheim; Ji-Hyun Lee; Ercilia R Calcano; Cathy D Meade; William J Fulp; Kristen J Wells
Journal:  J Health Care Poor Underserved       Date:  2012-08

6.  Effects of program scale-up on time to resolution for patients with abnormal screening mammography results.

Authors:  Simon Craddock Lee; Robin T Higashi; Joanne M Sanders; Hong Zhu; Stephen J Inrig; Caroline Mejias; Keith E Argenbright; Jasmin A Tiro
Journal:  Cancer Causes Control       Date:  2018-08-23       Impact factor: 2.506

7.  Religiosity, spirituality, and cancer fatalism beliefs on delay in breast cancer diagnosis in African American women.

Authors:  Mary Magee Gullatte; Otis Brawley; Anita Kinney; Barbara Powe; Kathi Mooney
Journal:  J Relig Health       Date:  2009-01-30

8.  Effects of social injustice on breast health-seeking behaviors of low-income women.

Authors:  Shelly-Ann Bowen; Edith M Williams; Chayah M Stoneberg-Cooper; Saundra H Glover; Michelle S Williams; Michael D Byrd
Journal:  Am J Health Promot       Date:  2013 Mar-Apr

9.  Patient and process factors associated with late-stage breast cancer diagnosis in Safety-Net patients: a pilot prospective study.

Authors:  Oluwadamilola M Fayanju; Donna B Jeffe; Leisha Elmore; Deborah N Ksiazek; Julie A Margenthaler
Journal:  Ann Surg Oncol       Date:  2012-10-16       Impact factor: 5.344

10.  Survivor typologies predict medical surveillance participation: the childhood cancer survivor study.

Authors:  Cheryl L Cox; Liang Zhu; Melissa M Hudson; Brenda D Steen; Leslie L Robison; Kevin C Oeffinger
Journal:  Psychooncology       Date:  2012-09-11       Impact factor: 3.894

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